Monthly Archives: December 2021

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COVID-19 and Its Impact on Health of Children and Adolescents: A Review

DOI: 10.31038/IGOJ.2021443

Abstract

Actually, COVID-19 is a risk for all human populations (men, women, children and adolescents), with medical, economic and social importance. So, we have as objectives in this manuscript to contribute to knowledge of the impact of this viral disease on the children and adolescents’ health.

Keywords

Coronavirus, COVID-19, Pediatric infections, SARS Coronavirus 2, SARS-Co2

Introduction

COVID-19 is a viral disease whose causative agent was identified in Wuhan-China, as a novel coronavirus, severe acute respiratory syndrome coronavirus2 (SARS-CoV-2) [1]. After, 15 April 2020, COVID-19 has caused more than two million confirmed cases and more than 128,000 deaths globally, including 82,295 confirmed cases and 3,342 deaths in China [2].

The Chinese government has locked Wuhan city, since 23 January 2020, and implemented a series of social distancing measures such as: strict traffic restrictions; prohibition of social gatherings, and closure of residential communities [3].

In [4] the authors have indicated:

1) That “the purpose of the review is to summarize the most relevant evidence of COVID-19 in children highlighting similarities and differences with adults.

2) As results and conclusions:

Of the 266 articles considered as relevant in that research, the authors have retrieved the following information:

“(i) Children were mainly family clusters of cases and have relatively milder clinical presentation compared with adults, and they were reported to have better outcomes with a significantly lower mortality rate; (ii) Studies determining why the manifestations of SARS-CoV.2 infection are so variable may help to gain a better understanding of the disease and to accelerate the vaccines and therapies.”

In [5] the authors have referred that: (i) “at present, SARSCoV-2 is still rampant in the world; (ii) Zhengzhou City in Henan Province serves as an example, 102 people have been confirmed to be infected with SARSCoV-2 (at 24:00 on February 5th, 2020), including three children, the youngest is 4 years old.”

Conclusions

  1. We think that it was here demonstrated that COVID-19 has an impact on children and adolescents.
  2. We hope that with the attention that is being given to this viral disease it is possible, in a short/medium time, to obtain
  3. More knowledge, concerning the virus, the treatment and the
  4. Vaccines, so that with this knowledge is possible a control of all viral variants circulating in the world.
  5. To combat COVID-19, it is necessary:

i)   To have persons specialized for the different types of combat;

ii)  The collaboration between countries at world level;

iii) The collaboration of the person, in general, for the execution of the rules established by health services of their countries;

iv)  The collaboration between different governmental services;

v)  The collaboration between different community services that have responsibility, in the context of public health, such as town halls, health centers and hospitals.

vi)  Staff working in crèches, have to be attentive for occurrence of signals and symptoms of COVID-19 in the children under its protection.

References

  1. Archived: WHO Timeline – COVID-19, 27 April 2020- who.int World Health Organization. Novel coronavirus – China. Geneva, Switzerland: Word Health Organization httpps.//www.who.int/csr/don/12-january-2020-novelcoronavirus-china/en/. [2020-01-12]
  2. COVID-19 – Global Health, COVID-19: What you need to know about the coronavirus pandemic in 15 April. weform.org
  3. Wuham lockdown: a year of Chinas fight against the COVID pandemic – 22 January, Corona virus pandemic bbc.com
  4. Perikleous E, Tsalkidis A, Bush A, Paraskakis E (2020) Coronavirus global pandemic: An overview of current findings among pediatric patients. Pediatric Pulmonology 1-16. [crossref]
  5. Li Y, Guo F, Cao Y, Li L, Guo Y (2020) Insight into COVID-2019 for pediatricians. Pediatric Pulmonology 55: E1-E4. [crossref]

Alcohol and Health: Social Evolution, Production and Control

DOI: 10.31038/IMROJ.2021652

Abstract

Alcohol drinking has been intrinsic to human social evolution certainly from the period when change from hunter-gather to farmer took place, which in many societies dates from 10,000 or more years ago. Throughout much of that time the risk of water-borne diseases such as enteric fever was such that there were undoubted health benefits to consumption of alcoholic beverages, such as mead, beer, cider and wine, in preference to contaminated water. Further benefit may also be that fermented drinks provided a means of storing food energy when preservation methods such as freezing had yet to be developed. These benefits were no longer critical once efficient sanitation and safe water supplies and food storage technologies had been developed from the mid-19th century. The study of fermentation has contributed enormously to medicine providing drugs or their precursors as diverse as antibiotics and statins. During human cultural evolution alcohol has frequently been a key part of religious and fertility rites and of social activities, such as feasting. However, the introduction of cheap, distilled, alcoholic drinks, such as gin, in the late 17th century was damaging to society and in modern times evidence for any health advantages to drinking alcohol is lacking. The threshold consumption below which no harm can be observed is low or non-existent. Whereas prohibition can be effective in theocracies as demonstrated by transnational statistics on alcohol consumption, historically, attempts to enforce prohibition solely by legislation have generally been disastrous in non-sectarian societies. The scale of the industries producing alcohol is vast and many drinks, particularly wine are intimately ingrained into many cultures. Taxation is a traditional means of curbing excess consumption and there may be a case for banning certain types of alcoholic products and advertising, but draconian measures will lead to increased crime through illegal drinking and the misuse of other recreational drugs. It should not be assumed that lessons from the success in reducing smoking can be directly translated into limitation of alcohol use to improve health.

Introduction

Alcohol production and consumption has been a key element in human social evolution and acculturation, certainly since the late stone-age. Beliefs about whether this is beneficial or harmful to health both of individuals and societies have fluctuated throughout history. In adopting a rational policy towards alcohol use and abuse [1], it is essential to understand not just recently, but historically, how it has come to occupy such an important place in many civilisations and whether claims that it has some health-giving properties are likely to be true or is it simply an instrument of pleasure with the potential through over-indulgence to cause harm?

History

Stone-Age

There is a school of thought these days that we were healthier as hunter-gatherers. Most of human genetic evolution had occurred by the time we had reached that stage in our social evolution. The idea is thus that our metabolism is best suited to the diet and energy expenditure of a Stone Age man after which it has not changed much, if at all. Presumably the life of a hunter-gatherer involved collecting shellfish from the beach, catching the occasional animal and seasonally eating the odd nut, wild fruit or root [2]. Certainly this diet included no more than a trace of alcohol, but equally certainly it did not often include the five portions of ‘fruit and veg’ of the type we are now frequently advised to eat. The fruit and veg of the hunter-gatherer would have been the diminutive specimens, not the florid vegetables we eat today as the result of artificial selection (selective breeding). However, our hunter-gatherer ancestors, who it is claimed were so fit, lived in small, nomadic groups, which does have its advantages. They did not have to worry too much about sewage mixing with drinking water, if they were regularly on the move. Enteric fever became a major problem in the settled communities where farming developed from the end of the last ice age about 12,000 years ago. Successful farming depended on artificial selection to create cereal crops, vegetables, fruit and farm animals, leading eventually to the diet we have today, and to major changes in society, including the predilection for feasting. The major production of mead, wine and beer also probably began around 10,000 years ago with the development of apiaries and the cultivation of grapes and cereals. It would have been facilitated by the development of pottery vessels in the late Neolithic period (around 11000BC). Industrial alcohol production probably did not begin in Europe, but probably in Asia minor.

Impetus to Develop Production of Alcoholic Beverages

Usually it is assumed that the intoxicant property of alcohol was the major inducement for its production, but there were clear health benefits in former times. Beverages, such as wine, were a means of storing food energy and thus contributed to the avoidance of starvation during the winter months. Importantly too, fermented alcoholic drinks provided a safe water supply and thus prevented enteric fever [3]. Typhoid and other water-borne causes of enteric fever were the commonest cause of death, killing half of the population even as late as the mid-19th C. Perhaps it is not surprising, therefore, that wine or beer even at breakfast, were widely consumed in preference to water well into Victorian times. Interestingly the temperance movement made little headway until the mid-19th C when improvements in sanitation, as the result of advances in public health engineering and the allocation of civic funding for it, ensured a safe water supply [4]. Being teetotal was before that a risky business.

Mead

The discovery that fermentation could produce intoxication may have been made by early man after consuming rotting honey from bee colonies. Presumably, attempts to replicate its pleasing intoxicant effect led to deliberate fermentation of honey. Mead is probably therefore the earliest widely consumed alcoholic beverage [5]. Thus mead was the ambrosia of the ancient Greeks, but its production declined in the south of Europe and Asia Minor, when grapes were discovered as a more easily produced, more predictable source of sugar for alcohol production by fermentation. Bees are, however, ubiquitous. Thus, in the north, where vine fruits were less available, the popularity of mead continued. In Norse/Aryan mythology a draught of mead, delivered by beautiful, divine maidens, was the reward for warriors who reached Valhalla. Celtic mythology tells of a river of mead running through paradise, while Anglo-Saxon culture regaled mead as the bestower of immortality, poetry and knowledge. The word “honeymoon” comes from the ancient tradition of giving bridal couples a month’s worth of mead to ensure a fruitful union

Beer

Grain cultivation from a variety of plants developed in many locations from 11000BC and so also did beer-making. In some ways the history of beer is more interesting than wine, because it was developed in many different civilisations and cultures widely separated geographically [6]. In antiquity beer would travel less well than wine. Thus, exchange of knowledge concerning its manufacture, may have been largely responsible for its spread. However, beer-drinking might also have developed in some cultures at a time before they were likely to receive migrants or travellers from beer-producing regions. Therefore, it is tempting to speculate that the discovery of beer occurs at a particular stage of social evolution concurrently or shortly after the development of cereal crops. Babylonian clay tablets from c 4300 BC describe recipes for beer. Noah’s provisions for the Ark included beer. Beer was a vital part of the Babylonian, Assyrian, Egyptian, Hebrew, Chinese, and Inca cultures. Different grains were used in different cultures: Africa used millet, maize and cassava, North America used persimmon (although agave was used in Mexico), South America used corn (although sweet potatoes were used in Brazil), Japan used rice to make sake, China used wheat to make samshu, other Asian cultures used sorghum, Russians used rye to make quass or kvass and Egyptians used barley and may have cultivated it strictly for brewing as it made poor bread.

Cider

The origins of cider are obscure. Apples are known to have been cultivated in the Nile delta as early as 1300 BC, but they may have been grown much earlier in China [7]. Cider was, however, a novelty to the Romans on their first visit to Britain in 55BC. Its production by the Normans (of Viking descent) was undoubtedly on an industrial scale by the time of their conquest of Britain in 1066. The Viking diaspora of which Normandy was part extended at various times from the 8th to the 11th century AD not only to the Atlantic and Baltic coasts of Europe, but also the Mediterranean and Black Sea coastal regions of Europe, North Africa and Asia minor [8]. However, the spread of cider was more limited until modern times. Currently, the UK has the world’s highest per capita consumption, as well as its largest cider-producing companies. Cider is also popular in some other European countries including Ireland and some regions of Portugal, France, and Spain. Germany also has its own types of cider, a particularly tart version known as apfelwein.

Wine

As early as 6000BC there is evidence of wine production with the wild grapes (Vitis vinifera sylvestris) indigenous to the Transcaucasian region between the Black and Caspian Seas embodying parts of present day Turkey and Azerbajan (ancient Armenia), Georgia and Iran. The earliest cultivated grape seeds (Vitis vinifera vinifera) together with jars and other artefacts for bulk wine production dating to 4100BC were discovered in a cave in Armenia [9-11]. Trade in wine led to the spread of grape cultivars and wine-making knowledge and technology south to Mesopotamia (Iraq, Syria and Kuwait) and Phoenicia (coastal Syria and Lebanon) and west through Bulgaria and Macedonia to Greece. Sea-going Phoenician traders and the expansion of the Greek Empire extended the culture of wine more widely still. The cults of Bacchus and Dionysus incorporated wine into religious rites in the Greek world. Cleopatra (from the dynasty of Greek rulers of Egypt) is said by Pliny to have drunk a goblet of wine in which she had dissolved a priceless pearl to impress Mark Anthony by consuming the most extravagant tipple in history. The wine, itself, must not have travelled well: it must largely have deteriorated to vinegar to convert calcium carbonate to acetate [12]. Under Rome the transport of wine improved and viniculture spread throughout its empire as far as the south of England and Germany [13]. Improvements in ceramic and glass technology were crucial to this. With the collapse of Rome’s control of its former empire, European wine production would have been seriously threatened had it not been for the expansion of the Catholic Church. The belief that red wine is the blood of the Gods goes back to a pre-Christian tradition, but its consumption and production by monastic orders was way beyond its role in the eucharist. The Benedictines followed by the Cistercians were the greatest wine producers. Many persisting aspects of viniculture derive from this period. Dom Perignon (1638–1715), a Benedictine monk introduced many blending techniques and preservation methods, including secondary fermentation in which wine was preserved by carbon dioxide under pressure and thus fizzed when its cork was released. This provided an alternative to fortification with higher proof spirits, such as brandy (see distillation) to permit wine to travel well as, for example port and sherry. Thus champagne joined port and brandy in British society. Wine was taken to Central and South America by the Conquistadors and vines brought from Spain and Portugal were introduced and cultivated by their monasteries in Mexico and much of South America including California, Argentina and Chile. Jan van Riebeeck, a Dutch ship’s doctor who believed wine could cure scurvy introduced wine production to South Africa after taking vine cuttings to Cape Town. Vines for wine production were brought to Australia in the 1830’s and to New Zealand at about the same time or possibly a few years earlier from collections of French grapes in English hot houses.

The artificial selection of grape vine variants with desirable distinctive characteristics for wine production has been practised for several thousand years. Cross-fertilising these with other varieties to create good wine-producing hybrid vines is, however, a tedious business with only a small proportion being homozygotes for all of the desirable characteristics and several generations reaching maturity might be necessary to confirm this. Therefore the practice was to graft the new vines on to rootstock of wild-type vines, thus circumventing the need for sexual reproduction. However, in the 1860’s the wine industries of France were devastated by Phylloxera vastatrix, an aphid imported from North America [14]. In France this infestation caused withering and destruction of vine roots. The scarcity of wine in France led to an increase in the drinking of absinthe. Soon after the vine disease began the microbial cause was identified by Jules-Emile Planchon, using microscopy and influenced by Louis Pasteur’s work [15]. That the microbe was a stage in the metamorphosis of an aphid already known in North America, Daktulosphaira vitifoliae, and imported from there, was, however, not appreciated and his work was initially ignored. Although less devastating outside France, Phylloxera spread to Austro-Hungary, Germany, Spain, Italy, Portugal and Madeira. Eventually, Pasteur, himself, was put in charge of the investigation of the cause of vine disease (1885). His reputation had by then been built with his famous proof that fermentation was due to yeast microbes and his saving of the the French silk worm industry from the ravages of a microbial disease [16]. However, his attempts at a chemical (pesticide) approach to control the blight failed. Ironically North America proved to be both the cause and the remedy. The wild vines from there were relatively unaffected by Daktulosphaira vitifoliae. Thus grafting the old vines onto rootstock from American varieties in countries affected by Phylloxera provided the eventual solution . Pasteur, of course, went on to make many more contributions to organic chemistry, germ theory, antisepsis and immunisation.

The Discovery of Distillation and the Production of Spirits

The widespread abstinence current throughout the Arab Muslim world is a comparatively recent adoption. As Omar Kayyam (1048–1131) remarks to his lover, ‘A book of verses underneath the bough, a flask of wine, a loaf of bread and thou….’. The word ‘alcohol’ is derived from an Arabic word and it was Arab alchemists who separated it from wine. The most famous of these, Jābir ibn Hayyān (721-815), devised apparatus for distillation in the 8th century [17]. Distillation permitted the production of spirits with much higher alcohol content than was possible by fermentation alone and the use of inferior ingredients and techniques for the initial fermentation, which prior to distillation would produce an undrinkable liquid. Not only was production thus cheap, but the product was more easily transported than wine and beer. It could be issued to armies and navies and sold to the multitudinous poor. Huge quantities of gin (barley malt), rum (sugar cane), scotch whiskey (barley malt), bourbon whiskey (corn, rye, wheat, barley malt), brandy (grapes and other fruits) and vodka (potatoes, cereals) were produced commercially by the 18th century in Europe and countries with populations of European origin [18]. Drunkeness became rife: signs outside gin shops in the proletariat parts of London read, ‘Drunk for a penny; dead drunk for two pennies; clean straw for nothing’.

Temperance: Taxation, Legislation and Religion

In Britain, a series of parliamentary acts from 1729 onwards were required to ameliorate the gin craze. Historically, attempts to outlaw alcohol generally either for reasons of morality or to increase the industrial productivity of the nation’s workforce have generally failed dismally. Taxation (excise duty) on the other hand has proved highly successful for governments. Alcohol was first taxed in 1643 and by 1713 had overtaken land tax as the government’s main source of revenue [19]. Often the declared motivation for increases in excise duty was to pay for the armed forces. Issues of religion, improved health and providing a better society were not the main motivation, at least until the growth of the temperance movement. A policy of prohibition might not only make a political party unsuccessful electorally, but also cut off its major revenue source, should it achieve office. In Britain in 1914 a movement to prohibit alcohol supported by Lloyd George and King George 5th failed to gain popular support, although a ban persisted in the Royal Household until the war ended in 1918 and licensing hours were introduced on the grounds that they would increase productivity. Tsar Nicolas 2nd did succeed in banning alcohol in 1914 (ineffectively and with the loss of considerable revenue for his government) throughout his empire, a ban which persisted longer than he did, being cancelled by the Bolsheviks in 1925. In the USA prohibition was enacted as the 18th amendment to the constitution in 1920, but was rescinded in 1933, not least due to the uncontrolled rise in crime that resulted. Many other nations have briefly attempted to abolish alcohol consumption including Iceland, Norway, Finland Australia and New Zealand. Currently most of the nations where alcohol is illegal are Muslim. Examples are Yemen, Saudi Arabia, Maldives, Kuwait, Iran, Brunei and Afghanistan. The Koran is clear that intoxication is irreligious. Although specific mention of alcohol is not made, the current generally accepted belief is that ‘Whatever intoxicates in large quantities, a small quantity of it is forbidden’. Thus, the consumption of alcohol is frowned upon in Muslim societies, even in those that have stopped short of a state ban. With the loss of European influence in such societies dramatic changes have occurred with Algeria being the most extreme example. Until independence from France in 1962 it was the world’s largest exporter of wine, whereas today its production has dwindled to almost none [20]. Christian denominations vary greatly in the degree to which they denounce alcohol with the reformed churches, such as the Presbyterian, Quaker, Methodist and Baptist denominations at the forefront of abolition. The predominant religion undoubtedly influences national alcohol consumption (Table 1).

Table 1: Wine and alcohol consumed (litres of pure alcohol per person aged 15 or more years in 2016 or latest year for which figures were available) published by the World Health Organisation [1]. Data for selected countries are arranged in descending order of wine consumption. The difference between the sum of the wine and beer consumption is generally due to intake of spirits. Data from Spain may be influenced by its tourist industry.

Country

Alcohol consumption Alcohol consumed as wine

Alcohol consumed as beer

Portugal

12.3

7.5

3.2

France

12.6

7.4

2.4

Italy

7.5

4.9

1.9

Greece

10.4

4.7

3.3

Belgium

12.1

4.6

5.4

UK

11.4

4.1

4.1

Australia

10.6

3.9

4.2

Germany

13.4

3.8

7.1

Austria

 11.6

3.7

6.1

Ireland

13.0

3.6

6.1

New Zealand

10.7

3.5

4.0

Netherlands

8.7

 3.1

4.2

Norway

7.5

2.7

3.3

Canada

 8.9

2.2

4.0

USA

 9.8

1.8

4.6

Spain

10.0

1.8

5.4

Russia

 11.7

1.5

 4.6

China

 7.2

0.2

 2.2

 India

 5.7

 <0.1

 0.5

Egypt, Kuwait, Pakistan, Iran

 ≤1

 <0.02

 <0.5

Benefits Derived from Scientific and Technical Advances in Brewing

Fermentation due to yeasts or bacteria in the gut is vital for our digestive system. Fermentation is also widely used in the production and storage of foods as diverse as bread, cheese, pickles, yoghurt, vegetables (eg kimchi), fish (surströmming) and, of course, alcoholic beverages. This form of food preservation largely exploits the preservative effects of ethanol, lactic acid, acetic acid and carbon dioxide produced during fermentation, but other chemicals can be produced, depending on the micro-organism chosen. Despite its wide use for many thousand years it was not generally accepted until the latter part of the 19th century following the findings of Pasteur that fermentation is a metabolic process ( involving living microorganisms) that produces chemical changes in organic substrates through the action of enzymes [21]. As the range of organic compounds produced by fermentation was investigated, techniques employed in the brewing and wine-making industries were modified for the large scale production of organic compounds otherwise difficult to synthesise in quantity. This received considerable impetus when Chaim Weizmann (the father of industrial fermentation and first president of Israel) working in Manchester scaled up the knowledge that Clostridium acetobutylium yielded acetone from starch. Many tons of acetone necessary for cordite production were thus manufactured in the First World War. For this, sanctioned by Churchill and Lloyd George, six British distilleries were requisitioned.

The availability of industrial techniques for bulk culture of selected naturally occurring micro-organisms has subsequently led to the manufacture of a huge range of therapeutic drugs from antibiotics to statins [22]. More recently, the creation of genetically modified organisms has extended the array of therapeutic agents as diverse as recombinant proteins and monoclonal antibodies. Whatever the evils of alcohol, knowledge gained from its production continues to contribute hugely to advances in medicine. The benefits of alcohol consumption on the other hand are more questionable.

Units of Alcohol

Quantities of alcohol in medical reports can be confusing. Quite simply, 1 unit is equivalent to 10 ml of pure alcohol. With this knowledge it is easy to convert the alcohol content shown as vol/vol on the label of wine (and other alcoholic beverages) to units. For example 12% alcohol means 12 ml per 100 ml of wine. Thus, a 750 ml bottle contains 12 × 750 ÷ 100 = 90 ml or 9 units of alcohol.

Alcohol and Health in Contemporary Times

Epidemiology

Alcohol is currently largely viewed as a cause of ill health. The catalogue of woe resulting from heavy alcohol consumption is well known and includes loss of social inhibition beyond conviviality, accidents, recklessness, suicide, violence and other criminal behaviour, excessive sedation and inhalation of vomit, dependence, acute and chronic liver disease, acute and chronic pancreatitis, acute and chronic gastritis, carcinoma of the breast, liver, pancreas, oesophagus and intestine, encephalopathy, myopathy, neuropathy, gout, rhinophymoma, pseudo-Cushing’s syndrome, gonadal atrophy, hypertriglyceridaemia and teratogenicity. Heavy alcohol consumption is also a cause of excess cardiovascular mortality due to dysrhythmias, especially atrial fibrillation, but also ventricular dysrhythmias, cardiomyopathy and, often overlooked, it can be a major contributor to hypertension. So does alcohol have any health benefits nowadays? It could be argued, we should not ignore its role in simply making life more enjoyable as long as it adds to and does not detract from the quality of the life. As Dean Martin said, ‘I’d hate to be a teetotaller. Imagine getting up in the morning and knowing that’s as good as you’re going to feel all day’.

Moreover, there has been an ongoing debate since the 1980’s about whether moderate alcohol consumption is associated with lower rates of coronary heart disease than those in non-drinkers [23,24]. The relationship between alcohol consumption and mortality is J-shaped. This has been attributed by some to lower rates of coronary heart disease (CHD) in moderate drinkers than in abstainers [23] and by others to pre-existing disease prompting alcohol abstention [24]. Meta-analysis of prospective observational studies has revealed that the J-shaped relationship with CHD and all-cause mortality is a highly reproducible finding [25,26]. In the largest meta-analysis the effect of alcohol was associated with decreased likelihood of fatal and non-fatal myocardial infarction [26]. The risk of death from heart failure, stroke and non-cardiovascular disease increased with alcohol consumption so that overall the lowest mortality was associated with consumption of around 100 g per week (12.5 units) in both men and women. In a more recent study of over 80,000 Chinese industrial workers around 25 g per week (3.1 units) was associated with the lowest incidence of death [27]. Any benefit from alcohol thus seems to occur below currently recommended ‘safe’ limits (see later).

Mendelian Randomisation

Any association between moderate drinking and longer life expectancy could be because moderate drinkers are healthier than non-drinkers for reasons other than their alcohol consumption. This confounding might be because modest drinkers are, for example, likely to be restrained in other potentially unhealthy behaviours, perhaps smoking less, or they may be from a higher socioeconomic group, which is associated with better health. Statistical adjustment to allow for confounding is of limited validity.

Ideally, of course, cause and effect should be established by a randomised trial. This is what has been done to establish the clinical efficacy of drugs, such as a cholesterol- or blood pressure-lowering medication. Participants are randomly assigned to receive the active drug or to be controls often given placebo to blind the patient and the investigator as to whether treatment is active or not until the end of the trial. After a few years, the incidence of heart attacks and other clinical events in the active treatment and control groups is compared. This is impossible with alcohol. You can hardly expect drinkers to be assigned to the non-drinking control group and vice versa. The same dilemma faced investigators trying to persuade governments that smoking was unhealthy.

Mendelian randomisation is a development which has been hailed as in some cases providing a substitute for randomised clinical trials. If an element of the exposure to a risk factor is genetically determined and there are variants of that gene which have a predictable effect on its penetrance, then it is possible to test for causality by assessing whether the disease is associated with the gene variant(s) linked to the greatest exposure. The method relies on the assumption that the gene variant itself contributes causally to exposure and on the assumption that, during meiosis (gametogenesis), which one of each parent’s pair of genes coding for a particular characteristic a gamete receives is random (a matter of chance). In the case of alcohol exposure two genes have been the subject of particular interest in determining alcohol consumption. One codes for alcohol dehydrogenase, which converts ethanol to acetaldehyde. The second is acetaldehyde dehydrogenase which metabolises the acetaldehyde. Acetaldehyde causes flushing, headaches and many of the features of a hangover. It has been reported that lower activity polymorphisms of alcohol dehydrogenase slow down the rate of formation of acetaldehyde and that high activity polymorphic variants of aldehyde dehydrogenase limit the rise in its circulating levels. Inheritance of genes coding for low activity alcohol dehydrogenase and for high activity aldehyde dehydrogenase is associated with greater alcohol consumption and with increased rates of alcoholism and binge-drinking [28,29]. Alcohol dehydrogenase activity increases in heavy drinkers. So, acquired factors make it unsuitable for a Mendelian randomisation study. However, aldehyde dehydrogenase gene variants associated with increased alcohol consumption have been frequently been examined in relation to disease outcomes in Mendelian randomisation studies [29-31]. No benefit from any degree of alcohol consumption has been reported in these investigations. However, it has been questioned whether this type of genetic polymorphism influences consumption sufficiently to categorise participants reliably [32]. Claims that they exclude a role for low as opposed to low to moderate alcohol consumption in preventing CHD are likely to be unfounded, but on the other hand conventional epidemiology does not prove modest consumption causes such protection.

Causality and Plausibility

Alcohol in General

There is a plethora of mechanisms both for harm and benefit from alcohol. Alcohol exerts its acute effects directly and by, acetaldehyde to which it is rapidly converted. Some chronic effects such as degeneration of cerebral tissue and oesophageal cancer and gastritis may be due to repeated direct exposure to these. The likelihood of complications may be enhanced by nutritional factors, such as thiamine deficiency (wet beri beri) and by toxins contained in the particular beverage.

Thus certain alcoholic beverages may once have given rise to particular syndromes in specific groups of drinkers such as Marchiofava Bignami syndrome in chianti drinkers [33], oesophageal carcinoma in calvados drinkers [34] and cardiomyopathy when cadmium was used in beer production [35]. On the positive front, effects of alcohol on risk factors known to cause coronary heart disease has been a popular topic for research [36]. Experimental evidence undoubtedly confirms that alcohol increases high density lipoprotein (HDL), which in many epidemiological studies is inversely associated with the incidence of atherosclerotic cardiovascular disease. Experimentally alcohol also decreases fibrinogen, the major cause of thrombosis which occurring on atheromatous arteries is the usual cause of heart attacks. One should be cautious in the interpretation of the effect of the alcohol-induced increase in HDL on atherosclerosis risk following the failure of cholesteryl ester transfer inhibitor drugs, which raise HDL far more than alcohol, to ameliorate atherosclerotic cardiovascular disease incidence [37]. Furthermore excess alcohol also causes triglyceride levels to rise. Although it has also been suggested that moderate alcohol consumption is associated with a decreased likelihood of developing type 2 Diabetes mellitus, that these are causally related has been questioned in a recent meta-analysis [38].

Wine vs. Other Types of Alcoholic Beverage

Wine has come to occupy a place of veneration amongst alcoholic beverages, perhaps because of its southern European connections, significance in Christian culture, association with class, aestheticism, high-living and chique. ‘Wine is one of the most civilized things in the world and one of the most natural things of the world that has been brought to the greatest perfection, and it offers a greater range for enjoyment and appreciation than, possibly, any other purely sensory thing’ (Ernest Hemingway. Death in the Afternoon). It has also since ancient times been recommended by certain physicians to improve health. Can something enjoyable be healthy? Physicians rarely recommend anything pleasurable as part of a healthier lifestyle, but is there reason to be more optimistic about at least some types of alcoholic beverages?

The effect of alcohol on biomarkers, such as HDL cholesterol and fibrinogen, is similar whatever the alcoholic beverage and seems to depend on the alcohol itself. However, the notion that wine, particularly red wine, may have more health-giving properties than other alcoholic drinks has been around for some while. The usual reason for advancing this hypothesis is the so-called French paradox: some parts of Southern Europe have relative freedom from coronary disease, despite in the case of the South of France, enjoying a relatively fatty diet [39]. Typical alcohol consumption is similar in France and Ireland with its much higher CHD incidence (Table 1). In France, however, wine comprises a much higher proportion of the alcohol consumed. Studies of people resident in Toulouse and in Belfast reveal that HDL is higher in Toulouse [40], but there is no evidence that wine has a greater effect on HDL than any other source of alcohol [39]. Thus other aspects of the French diet, such as olive oil, and genetic differences may have contributed to the higher HDL in Toulouse and its relatively low CHD incidence. However, there is no denying that the contribution of wine to the alcohol consumed in France, Portugal and Italy is higher than in the UK, Ireland and North America (Table 1) where coronary rates are substantially greater. Red wine has been the subject of most interest as protecting against CHD, because it contains copious quantities of polyphenolic flavonoids, which are potent antioxidants [39] However, randomised trials of antioxidant vitamins have been unsuccessful in preventing heart disease [41]. It could, nevertheless, be argued that antioxidant vitamins used in these trials are not the antioxidants in red wine. It is possible too that some other mechanism could mediate the postulated protective effect of flavonoids in red wine against atherothrombosis [42]. However, it has also been questioned whether these substances are absorbed from the intestine in sufficient quantity [43].

J-Shaped Relationship with Mortality

Why does the CHD benefit of alcohol disappear with higher consumption? In large part because it can lead to obesity, particularly the more dangerous central obesity (brewers’ goitre) which is linked to high blood pressure, to deteriorating lipid levels and to diabetes [44]. Wiry alcoholics do not escape cardiovascular consequences, because excessive alcohol can directly damage the heart leading to dysrhythmias [45] and cardiomyopathy [46]. Furthermore, the fibrinogen-decreasing effect of alcohol may not be beneficial, if blood pressure also rises secondary to alcohol overindulgence, because it can cause strokes due to cerebral haemorrhage [47], Tom Sharpe’s Porterhouse Blue effect.

Mortality from non-cardiovascular disease increases directly with alcohol consumption particularly chronic liver disease, chronic and acute pancreatitis and neoplastic disease (particularly oropharynx, oesophagus, stomach and pancreas, but also tissues less directly exposed such as colorectum and breast) [48].

Safe Limits for Alcohol Consumption

There is a dichotomy of views about whether advice to the public about health and alcohol should be to consume the quantity associated with the lowest mortality or to recommend an upper limit above which mortality exceeds the average. There is thus considerable variation in what are considered safe limits in different nations [49]. Logically, if there is an upper limit, there should be a lower limit. However, there is no national guidance to drink small amounts of alcohol rather than abstain.

The general health recommendation in the UK, which attempted to balance the benefits of alcohol against its ill-effects, was for men not to exceed 21 or women 14 units weekly. This is no more than one third of a bottle a day for men and rather less for women. Women, although less likely than men to become alcohol-dependent, are more susceptible to alcohol-related disease [50]. This seems to make sense because they generally have a smaller surface area and liver than men, but on the other hand they are more likely to underestimate their consumption, creating the impression that their health has been damaged at lower levels of intake. Recently 14 units weekly for both men and women has become the NHS recommendation. This was influenced by the Mendelian randomisation studies. In practice, a medical history should ideally contain information about individual alcohol intake to detect drinking likely to damage health [51], but whereas it is easy to tell a patient who smokes any tobacco product to stop, it is lengthy and complicated to discuss precise quantities of alcohol and may distract from other parts of the history about which it is necessary for the patient to be frank if alcohol intake is not germane to the main purpose of the consultation. Rather than record ‘socialIy’ or some such euphemism (‘not enough’ one lady told me) it is better in general to ask whether any alcohol is consumed in a typical week and if so how much in terms of pints of beer, glasses of wine etc, bearing in mind that 14 units is around 5 pints of beer or 5 glasses of wine per week.

Prevention of Harmful Alcohol Consumption

  1. On present evidence it can be concluded beyond doubt that binge drinking is harmful. This is particularly worrying when it is encouraged by the supply of cheap alcohol to young people.
  2. That alcohol itself is the cause of decreased mortality in modest drinkers is unproven. On the other hand it cannot be said that it is harmful. Moderate consumption can contribute to the enjoyment of life.
  3. Obviously, the medical profession should advise against regular drinking when it occurs at a level which may be harmful to health. To decide at what level this is the case is difficult (see previous discussion).
  4. The most effective means of limiting alcohol intake is on religious grounds enforced by government and by social stigmatisation (including informants to religious and state authorities). In societies which can worship freely this is clearly impossible.
  5. Legally banning alcohol sales and manufacture has never proved successful and indeed may lead to serious crime.
  6. Taxation has proved to be the most effective means of preventing inappropriate drinking.
  7. Medical assistance such as provision for drying out, psychiatric support and Alcoholics Anonymous are clearly helpful in some individuals [52], but do not prevent excessive drinking in society as a whole to the detriment of health or the creation of addicts.
  8. The information in this review invites comparison with another social addiction, namely smoking, which has declined greatly in recent times [53]. Both alcohol and smoking are widespread social addictions, but alcohol has been available for thousands of years longer in which time it has become intimately linked with culture and tradition and has in the past had health benefits, whereas cigarette smoking, the most harmful form, was a phenomenon largely of the 20th century [54]. Alcohol is deeply ingrained into European culture and societies adopting European customs. The link between smoking even in moderation and carcinoma of the bronchus is strong, but on the other hand smoking does not cause disinhibition and inappropriate behaviour. Passive smoking and social stigmatisation has contributed greatly to the decline in smoking as has financial cost due to high taxation. The tobacco industry is huge and has responded by increasing its sales in Asia and by diversification. The alcohol industry is vast even compared to tobacco, but its opportunities to expand into markets in Asia are limited. Both industries have relied heavily on promotion including advertising and sponsorship. This has been limited much more in the case of smoking by legal restriction and by the adverse publicity which organisations accepting sponsorship might receive. Smoking has largely disappeared from films and television and tobacco sponsorship of sport or medical research is more likely to lead to disapprobation than promotional opportunity. Despite the opposition which would ensue from the public relations machine representing the alcohol industry, it might be possible to do more to prevent the promotion of drunkenness by bars, clubs and entertainment providers. Cheap alcoholic beverages are frequently used as loss leaders to entice shoppers: minimum pricing per unit of alcohol could prevent this practice.
  9. A coherent policy must be one of limiting excessive drinking. Historically, it has come to be regarded as normal to over-indulge on certain social occasions. Initiation of the young into over-consumption can be reduced by taxation, discouragement of provision of cheap alcohol and by educational and professional bodies not including it as part of their ritual.
  10. People can be persuaded to modify their habits when not only their own health, but that of others, is at risk. Potential harm from passive smoking undoubtedly was a major factor in banning smoking from public places. Young women are highly likely to give up both smoking and alcohol during preganancy. Driving and many types of work whilst under the influence of alcohol are banned by legal and contractual restraints. Protecting the NHS has been a main plank of persuading people to avoid behaviour likely to spread COVID infection. Perhaps it should be more widely publicised that in at least a fifth of acute hospital admissions over-indulgence in alcohol is largely responsible [55].
  11. To promote the message that all smoking is dangerous is probably easier than to promote moderation in alcohol. Advice to drink alcohol responsibly almost certainly requires more cooperation from the alcohol industry than banning smoking in public places did from the tobacco industry, but a clearer mutually acceptable definition of what is meant by responsible is required [56,57].

Conclusion

What we can learn from epidemiology is more limited than is often claimed. More should be done to curb excessive drinking, which is both unpleasant and unhealthy. Abstinence can be encouraged, indeed legislated for, in certain limited circumstances, but an outright ban for the whole population can do more harm than good. Our current knowledge about alcohol and health can best be summarised in the words of Marie Lloyd, ‘A little of what you fancy does you good’.

Acknowledgment

The authors acknowledge support from Lipid Disease Fund and The National Institute for Health Research/Welcome Trust Clinical Research Facility.

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fig 2a

Deoxynivalenol and Deepoxy-Deoxynivalenol- Induced Alterations in Theca Cell Function as a Major Cause of Infertility in Dairy Cows

DOI: 10.31038/IJVB.2021543

Abstract

Background: Tricothecene mycotoxins such as Deoxynivalenol (DON) and its metabolite deepoxy-DON (DOM-1), can alter major intracellular signaling pathways within theca cells that can perturb normal folliculogenesis in the ovary resulting in infertility in dairy cows. They function through the activation of a specific tyrosine kinase receptor that transduces the signal by activating several intracellular signaling pathways.

Materials and Methods: In our experimental study, the bovine ovarian theca cells were collected from adult cows during the follicular phase of the estrous cycle and were cultured at a density of 500 000 viable cells for 5 days. The cells were treated on day 5 of the culture with 1 ng/mL DON and DOM-1 for 30 minutes and used mass spectrometry (MS) approach to identify changes in the proteome profile of the cells.

Results: We identified approximately 93 peptides were phosphorylated, and 254 peptides were dephosphorylated in response to DON and DOM-1 compared with non-treated control cells. Gene ontology (GO) analysis indicated that the abundance of proteins associated with cell proliferation such as MAPK3/1, MAPK14, GNGT1, EDN1 and YWHAB were up-regulated in the DON and DOM-1 compared to the control group.

Conclusion: This study reports for the first time that DON and DOM-1 at sub-toxic level can activate major mitogen-induced proliferative molecules within theca cells that can stimulate tumorigenesis in the ovary.

Keywords

Bovine ovary, Deepoxy-deoxynivalenol, Deoxynivalenol, Proteome, Theca cells

Introduction

Fertility in dairy cows has decreased worldwide over the last several decades [1]. Female reproductive function can be affected by numerous environmental factors, including toxins of plant or fungi-associated mycotoxins [2]. Mycotoxins are toxic metabolites produced by some mold species such as Fusarium, Aspergillus and Penicillium that can contaminate food at all stages of the feed chain [3]. Among mycotoxins, deoxynivalenol (DON) produced by Fusarium species, is commonly detected in cereal crops, including wheat, barley and maize and is the most abundant trichothecenes in animal food [4]. DON (vomitoxin) causes acute and chronic toxicity in different internal organs of humans and animals [5] and exerts its toxicity mainly through binding to the ribosome, inhibiting protein and nucleic acid synthesis that triggers ribotoxic stress response, activation of MAPKs and their downstream signaling pathways [6]. According to the studies on human and mice, bacteria are able to de-epoxidize or epimerize DON, to deepoxy-deoxynivalenol (DOM-1) or 3-epi-deoxynivalenol (3-epi-DON), respectively which are substantially less toxic than DON. They only form two hydrogen bonds and subsequently altered their interaction with the ribosome and do not activate MAPKs [7]. In ruminant species, ruminal microorganisms are able to detoxify DON by converting it to the DOM-1, however despite this biochemical degradation DON-associated subclinical health problems are still occurring in dairy cows [8]. Nevertheless, the impact of DON and DOM-1 on reproductive system has not been well explored. This study for the first time investigated the effect of mycotoxins on ovarian theca cell function. Although theca cells consist major part of the follicular structure, their role in follicular function has not well studied, however there is no doubt about their contribution in coordinating some signaling networks between pituitary gland, oocyte, granulosa cells and endothelial cells within the ovary. They have receptor for LH and produce androgens that can be converted to estrogens by granulosa cells, thus any alteration in the normal physiologic function of these cells can have significant impact on follicular development and ovulation process resulting in infertility [9]. Thus, the objective of the present study was to shed light on the mechanism of action of DON and DOM-1 in bovine theca cells by their effects in the phospho-proteome alterations. Therefore, we used mass spectrometry approach, to evaluate the intracellular pathways of bovine theca cells activated following exposure to the sub-toxic doses of mycotoxins-DON and DOM-1.

Materials and Methods

Cell Culture

Our study was experimental. All materials were obtained from Life Technologies Inc. (Thermo Fisher Scientific, Burlington, ON, Canada) unless otherwise stated. Bovine theca cells were cultured in serum-free conditions that maintain testosterone, progesterone secretion and responsiveness to LH [10]. Bovine ovaries were obtained at the slaughterhouse from adult cows, independently of the stage of the estrous cycle, and transported to the laboratory at 30 ºC in phosphate-buffered saline (PBS) containing penicillin (100 IU) and streptomycin (100 µg/mL) [11]. Follicles (4–6 mm diameter) were bisected within the ovarian stroma, gently scraped to remove granulosa cells, and the theca ‘shells’ were peeled from the ovarian stroma with forceps. Pooled theca layers were incubated with collagenase (type IV, 1 mg/mL; Sigma-Aldrich, Oakville, ON, Canada) and trypsin inhibitor (100 ng/mL; Sigma) in a water bath at 37 ºC for 45 min with agitation every 10 min. The resulting supernatant was filtered through a 150 mesh steel sieve (Sigma-Aldrich), centrifuged (800 g for 10 min) and the pellet resuspended in PBS before being subjected to an osmotic shock treatment to remove red blood cells [12]. After washing, cells were resuspended in culture medium McCoy’s 5A modified medium supplemented with 100 IU/mL penicillin, 100 µg/mL streptomycin, 1 µg/mL fungizone, 10 ng/mL bovine insulin, 2 mM L-glutamine, 10 mM HEPES, 5 µg/mL apotransferrin, 5 ng/mL sodium selenite, and 0.1 % BSA (all purchased from Sigma-Aldrich) and LH [13]. Cell viability was assessed by trypan blue dye exclusion, seeded into 24-well tissue plates (Sarstedt Inc., Newton, NC, USA) at a density of 500,000 viable cells in 1 mL, and cultured at 37 ºC in 5 % CO2, 95 % air for a total of 6 days with medium changes every 2 days.

Experimental Treatments In Vitro

Certified Biopure Standard grade DON and DOM-1 in acetonitrile were purchased from Romer Labs (Tullin, Austria), and were reconstituted in methanol for cell culture studies. To assess the effect of DON and of DOM-1 on intracellular pathway activation, cells were treated on day 5 of culture with 1 ng/mL DON and DOM-1 for 30 minutes, and cells were recovered in RIPA buffer to measure the phosphorylation status of key protein kinases. Control cell group was run into two separate groups including solvent (acetonitrile) and the other without solvent and DON or DOM-1. All experiments were run on three separate replicates composed of pools of theca cells obtained from the slaughterhouse in different occasion.

Phosphopeptide Extraction

Proteins (50 µg) were isolated of cells by precipitation with 50 µL of ethanol, centrifuged at 9,000 g for 10 min, and the protein pellet was dried for 20 min in a vacuum centrifuge set at 60 ˚C. The protein pellet was dissolved in 50 µL of 100 mM ammonium bicarbonate (pH 8.5) and the solution was sonicated for 30 min at maximum intensity to improve protein dissolution [14]. The proteins were denatured by heating at 120 ˚C for 10 min, cooled for 15 min at room temperature, and proteins were reduced with 20 mM DTT at 60 ˚C for 60 min. Then proteins were alkylated with 40 mM IAA (Iodoacetamide) at room temperature for 30 min. One µg of proteomic-grade trypsin (i.e. ratio 1:50) was added and the mixture incubated at 40 ˚C for 24 h. The protein digestion was quenched by adding 50 µL of a 1% TFA solution (trifluoroacetic acid), followed by centrifugation at 9,000 g for 10 min, and supernatants were transferred into injection vials for analysis [15]. Phosphopeptide enrichment was performed with the Titansphere ᵀᴹPhos-Tio Kit, which is based on titanium dioxide (TiO2) enrichment. After equilibration of the TiO2 matrix by sequencial washing with Buffer A (2% TFA in acetonitrile solution 1:4 vol:vol) and Buffer B (provided in the kit),then  peptide sample (15 µL) was diluted in 50 µL Buffer B and centrifuged through the TiO2 three times at 1000 g for 10 min to adsorb phosphopeptides to the matrix. Non-phosphorylated peptides were sequential washed off the matrix by Buffer B, Buffer A, and phosphopeptides which were eluted 5% ammonium hydroxide followed by 5% pyrrolidine solution [16].

Mass Spectrometry

A Thermo Scientific Q-Exactive Orbitrap Mass Spectrometer (San Jose, CA, USA) was interfaced with a Thermo Scientific UltiMate 3000 Rapid Separation UHPLC system using a pneumatic assisted heated electrospray ion source. The chromatography was achieved using a gradient mobile phase along with a C8 column (Thermo Biobasic 100 × 1 mm) with a particle size of 5 μm. The initial mobile phase condition consisted of acetonitrile and water (both fortified with 0.1% of formic acid) at a ratio of 5:95. From 0 to 1 min, the ratio was maintained at 5:95. From 2 to 62 min, a linear gradient was applied up to a ratio of 50:50 and maintained for 3 min. The mobile phase composition ratio was reverted at the initial conditions and the column was allowed to re-equilibrate for 15 minutes for a total run time of 80 minutes. The flow rate was fixed at 75 µL/min and 2 µL of samples were injected. MS detection was performed in positive ion mode and operating in scan mode at high-resolution, and accurate-mass (HRAM). The default scan range was set to m/z 400-1500. Data was acquired at a resolving power of 140,000 FWHM (or full width at half maximum) using automatic gain control target of 3.0×106 and maximum ion injection time of 200 msec [17].

Bioinformatic Analyses

Database searching was performed on Proteome Discoverer software (version 1.4) with Uniprot bovine protein database (extracted FASTA file). Mass tolerance of precursor and fragment were set at 5 ppm and 10 ppm, respectively. Phosphorylation at Y and T amino acids was set as a variable post-translational modification. Quantification was based on MS1 ion intensity and peptide identification was based on precursor ion (MS1) and at least three characteristic (MS2). Data from all experimental groups were analyzed using SIEVE (Thermo Scientific, San Jose Ca), a label-free differential expression software that aligns the MS spectra over time from different data sets and then determines structures in the data (m/z and retention time pairs) that differ. The following parameters were set to align the retention time and generate the frames needed for abundance calculations. Alignment Parameters; Alignment Bypass = False, Correlation Bin Width = 1, RT Limits for Alignment = True, Tile size = 300, Max RT Shift = 0.2, m/z Min = 400, m/z Max = 1,500, Frame time Width (min) = 2.5 min, Frame m/z width = 10 ppm, Retention Time Start = 2.0 min, Retention Time Stop = 65 min, Peak Intensity threshold = 100,000.

Statistical Analysis

Significance was calculated within SIEVE using a student’s t test. A p-value of less than 0.05 was considered statistically significant. A fold change threshold (> 2 for up-regulation or < 2 for down-regulation) were used to assess differentially expressed peptides [18]. Identification of gene ontology (GO) annotation terms and analysis of networks between differentially phosphorylated proteins were performed based on the biological process [19] and molecular function by Reactome [20] and illustrated by STRING [21] protein interaction software.

Results

A total of 93 peptides were phosphorylated (Table S2), while 254 peptides were dephosphorylated (Table S3) in response to DON and DOM-1 compared with non-treated control cells. There was not different significantly between DON and DOM-1 group.

Differential Regulation of Proteins Expression in DON

A volcano plot of phosphopeptides detected after treatment with DON is presented in Figure 1A. Identified proteins with significantly increased and decreased phosphorylation status are illustrated in Figure 1B. In this graph the values greater than +1 and lower than -1 represent more than 2-fold increase or decrease in phosphorylation, respectively (P < 0.05).

fig 1a

fig 1b

Figure 1: A volcano graph illustrating distribution of different upregulated and downregulated fragment peptides in bovine theca cells exposed to DON. Fold change threshold >2 (log2=1) for up-regulation or <2 for down-regulation) were used to assess differentially expressed proteins. The Y axes indicate significance levels. Graph A illustrates all the phosphorylated proteins inside the cells. Identified proteins with significantly increased and decreased phosphorylation status are illustrated in graph B. The core MAPKs 1, 13 and 14 are shown as red triangles, diamonds and squares, respectively.

Differential Regulation of the Phosphopeptides Expression in DOM-1

A volcano plot of phosphopeptides detected after treatment with DOM-1 is presented in Figure 2A. Identified proteins with significantly increased and decreased phosphorylation status are illustrated in Figure 2B. In this graph the values greater than +1 and lower than -1 represent more than 2-fold increase or decrease in phosphorylation, respectively (P < 0.05).

fig 2a

fig 2b

Figure 2: A volcano graph illustrating distribution of different upregulated and downregulated fragment peptides in bovine theca cells exposed to DOM-1. Fold change threshold >2 (log2=1) for up-regulation or <2 for down-regulation) were used to assess differentially expressed proteins. The Y axes indicate significance levels. Graph A illustrates all the phosphorylated proteins inside the cells. Identified proteins with significantly increased and decreased phosphorylation status are illustrated in graph B. The core MAPKs 1, 13 and 14 are shown as red triangles, diamonds and squares, respectively.

Biological Functions Associated with Mycotoxin Exposure

The most predominant biological functions associated with mycotoxin exposure were regulation of kinase activity and cellular response to growth factor stimuli. The most predominant molecular functions were receptor of signaling protein serine/threonine kinase activity and MAP kinase activity (Table 1). Table 1 showed that the most predominant molecular functions were receptor signaling protein serine/threonine kinase activity and MAP kinase activity. Identification of gene ontology (GO) annotation was performed by Reactome, and illustrated by STRING protein interaction software.

Table 1: Gene ontology annotation of major biological and molecular functions associated with proteins phosphorylated or dephosphorylated in theca cells by mycotoxin exposure.

Pathway description

Count in gene set

False discovery rate

Biological function:

Regulation of kinase activity

 

8

0.00178

Regulation of cellular response to heat

4

0.00253

Protein folding

5

0.00269

Cellular response to growth factor stimulus

7

0.00269

Regulation of protein kinase activity

7

0.00295

Molecular function:

Receptor signaling protein serine/threonine kinase activity

 

5

1.13e-05

MAP kinase activity

3

0.000311

Significance was calculated within SIEVE using a standard t-test. Statistical significance was set at a P value < 0.05.

Network analysis with STRING shows the active interactions between these signaling molecules in the form of nodes and edges (Figure 3). In this model, network nodes represent proteins and each node represents all the proteins produced by a single, protein-coding gene locus. Small nodes illustrate protein of unknown 3D structure and the large nodes illustrate proteins of known (or predicted) 3D structure. The green nodes represent the proteins whose phosphorylation was upregulated in response to DON and DOM-1 and the red nodes represent proteins whose phosphorylation was downregulated in response to these mycotoxins. The edges represent the protein-protein associations. The blue edges represent associated from curated database and is a characteristic of gene co-occurrence. The violet edges identify genes that are homologous and are co-expressed. This STRING network shows a clear cluster of known or predicted interactions between MAPK1, MAPK13, MAPK14, EDN1, GNGT1 and YWHAB, which were hyperphosphorylated in response to DON and DOM-1.

fig 3

Figure 3: A string model of different intracellular signaling pathways activated by DON and DOM-1. MAPKs are the core signaling molecules in this network green and red nodes indicate upregulated and downregulated molecules respectively. The edges are also representative of various interactions.

There was another cluster of interactions between PTGES3 and CHORDC1, EIF5A and RANBP2, involving hyperphosphorylation of CHORDC1 and EIF5A but hypophosphorylation of PTGES3 and RANBP2. Based on the statistical importance of these interactions, the proteins with increased phosphorylation and their functions are listed in Table 2. This Table showed that Both DON and DOM-1 induce simultaneous upregulation of ERK1/2, MAPK14 (p38alpha), MAPK13 (p38delta), GNGT1, EDN1 and YWHAB. They mostly regulate cell proliferation pathways and are involved in biosynthesis of lipid and carbohydrates (>2-fold; P<0.01). Table 3 demonstrated the differential proteomic analysis of hypophosphorylated proteins in response to DON and DOM-1 in bovine ovarian theca cells. Both DON and DOM-1 induce simultaneous downregulation of CALR3, PTGES3, RAD21, ACVR2B, and TGFBR1. They mainly activate or deactivate apoptotic processes and are involved in glucose and choline metabolism (>2-fold; P<0.01).

Table 2: Up-regulated phosphorylated Proteins of bovine ovarian theca cells in response to DON and DOM-1.

Protein name

Peptide Sequence Fold increase by DON Fold increase by DOM-1

Function

MYCBP TKLAQYEPPQEEKR

12

7

Stimulates activation of E-box-dependent transcription by MYC, a proto-oncogen protein
CALML4 YDEFIQKLTIPVRDY

12

9

Ca+2 ion binding protein, correlates with MYO5A, B and 1G, involves in cell malignancy
LAMTOR4 MTSALTQGLER

5

5

An amino acid sensing molecule and activator of TORC1 family members, which are carcinogens, promotes cell growth in response to growth factors
CXCL11 TEVIITLK

4

4

A chemotactic for interleukin-activated T-cells, involves in tumor angiogenesis
MAPK1 VADPDHDHTGFLTEYVATR

2.4

2.2

Main component of Ras/Raf/MEK/ERK cascade, mediates cell growth and survival, participates also in a signaling cascade initiated by activated KIT and KITLG/SCF.
MAPK14 HTDDEMTGYVATR

5.1

6.5

One of the four p38 MAPKs, cellular response to pro-inflammatory cytokines and physical stress
MAPK13 HTDVEMTGYVVTR

 

7.7

 

4.9

 

MAPK activity, one of the four p38 MAPKs, cellular response to pro-inflammatory cytokines and physical stress, activation of transcription factors such as ELK1 and ATF2
GNGT1 MPVINIEDLTEKDKLK

2.1

2.2

Signal-transducer activity, GTPase activity
EDN1 LKAQLYRDK

 

2.8

3.1

Positive regulation of mitotic nuclear division, protein kinase C-activating G-protein coupled receptor signaling pathway
YWHAB VFYLKMKGDYFR

 

4.7

5.8

Blocks the nuclear translocation of the phosphorylated form (by AKT1) of SRPK2 and antagonizes its stimulatory effect on cyclin D1
CHORDC1 SYVTMTATKIEITMRK

3.1

2.3

Involved in stress response, regulates centrosome duplication, acts as co-chaperone for HSP90
TOMM5 EDVISSIR

 

2.1

1.7

Mitochondrial outer membrane translocase complex, responsible for the degradation of active cytoplasmic enzyme and organelles during nutrient starvation
EIF5A IVEMSTSKTGK

2.2

2.3

mRNA-binding protein involves in translation elongation, regulates also TNF-alpha-mediated apoptosis
NDUFB3 DPWGRNEAWRYMGGFANNVSFVGALLK

2.5

2.9

Electron transform from NADH to the respiratory chain (ubiquitin), integral component of the membrane
ACLY SGASLKLTLLNPKGR

 

2.8

2.1

Acetyl-CoA biosynthetic process, citrate metabolic process, lipid biosynthetic process
PDIA3 GFPTIYFSPANKKQNPK

 

2.8

3.1

Catalyzes the rearrangement of -S-S- bonds in proteins, responds to endoplasmic reticulum stress

Significance was calculated within SIEVE using a standard t-test. Statistical significance was set at a P value < 0.05.

Table 3: Down-regulated phosphorylated Proteins of bovine ovarian theca cells in response to DON and DOM1.

Protein name

Peptide Sequence Fold decrease by DON Fold decrease by DOM-1

Function

THEM4 SIWALRGR

-33

-33

A thioestrase that involves in mitochondrial fatty acid metabolism
PDP1 LRPQDKFLVLATDGLWETMHR

-22

-22

Catalyzes the dephosphorylation of the α-subunit of the E1 component of the pyruvate dehydrogenase complex
ST6GAL2 GEDGERLYSSMSRALLR

-20

-20

Transfers sialic acid from the substrate CMP-sialic acid to galactose containing acceptor substrates from oligosaccharides
PPARG LNHPESSQLFAKLLQKMTDLR

-10

-16

Regulates β-oxidation of fatty acids, negative regulator of cholesterol storage
HNRNPA1 VVEPKRAVSR

-7

-7

Packaging of pre-mRNA into hnRNP particles, transports poly (A) mRNA from nucleous to the cytoplasm
CALR3 GKTLIIQYTVKHEQK

-7.1

-7.7

Ca+2 binding, cell differentiation
PTGES3 SILCCK

-5.6

-6.7

Cell proliferation, PGE synthase activity
MDH1B ELEKESLK

-5.6

-2.7

TCA cycle, malate dehydrogense activity
RAD21 KLIVDSVKELDSK

-5.0

-6.3

Apoptotic process, cell division, RNA polymerase II transcription regulatory, region sequence-specific binding
ENPP6 HSEIYNKVRR

-5.0

-5.3

Phosphodiesterase activity, choline metabolic process, lipid catabolic process
RANBP2 SGLKDFKTFLTNDQTK

-5.0

-5.3

Regulation of gluconeogenesis, involved in cellular glucose homeostasis, ligase activity
ACVR2B SVNGGTDCLVSLVTSVTNDLPK

-4.0

-6.7

ATP binding, metal ion binding, receptor signaling protein Ser/Thr kinase activity
TGFBR1 IELPTVGKPSSGLGPVLAVEEAGPVCFVCISLAMVAC

-2.4

-4.8

A receptor signaling protein with ser/thr kinase, activity, transforming growth factor beta binding, activation of MAPKK activity, pathway-restricted SMAD protein phosphorylation, positive regulator of apoptosis

Significance was calculated within SIEVE using a standard t-test. Statistical significance was set at a P value < 0.05.

Discussion

Analysis of biological processes and functions indicated that 30 min exposure to DON or DOM-1 activated MAPK activity and growth factor signaling pathways in the bovine theca cells. This is consistent with the known ability of DON to rapidly increase phosphorylation of MAPK3/1, and demonstrated in numerous cell type including granulosa cells [22].

According to an in vitro study, human and porcine lymphocytes responded differently when they were exposed to DON, in which exposure to low doses (30 nM) and high doses (100 nM) for 24h activated and suppressed mitogen induced proliferation of lymphocytes respectively [23]. In another study, the in vitro exposure of the porcine lymphocytes to low doses of DON (less than 10 ng/mL) stimulated immune system function by upregulation of cytokines, chemokines and inflammatory genes expression whereas at high doses (100 to 250 ng/mL ) DON suppressed immune system by activating apoptotic pathways [24].

Our result showed that three of the most significantly increased phosphoproteins were MAPK1, MAPK3 and, MAPK14. MAPK1 (also known as ERK2) is a Ser/Thr kinase which is phosphorylated by MAP2K1/MEK1 and MAP2K2/MEK2 on thr-185 and tyr-187 in response to external stimuli, and mediates many biological functions such as cell growth, survival, differentiation and apoptosis [25]. This protein is a critical component of the Ras-Raf-MEK-ERK signal transduction cascade. The ERK cascade is highly upregulated in human cancers, and is typically activated by growth factor stimulation of cell surface receptor tyrosine kinases (RTKs) and other signaling molecules with known oncogenic potential [26]. Reactome analysis suggested significant association of the MAPKs with endothelin 1 (EDN1) which is an endothelium-derived vasoconstrictor peptide. EDN1 has 2 receptors, EDNRA and EDNRB, that subsequently activate G proteins-coupled receptors [27] However, EDNRA also activates Ras-Raf-MEK-ERK signaling pathway and the upstream signaling molecules [28]. EDN1 receptors initiate intracellular signaling pathways leading to activation of MAPK3/1, MAPK14 and JNK1 [29]. In cattle the EDNR was identified in luteal, granulosa and thecal cells, and the luteal EDNRA and EDNRB mRNA levels were increased between day 1 and 10 of the estrous cycle. Moreover, the expression of EDNRA was greater in bovine theca cells than granulosa cells [30]. In contrast, follicular EDNRA and EDNRB mRNA decrease in super-ovulated cows treated with GnRH [31]. The phosphorylation of EDN1 by DON and DOM-1 treatment may account at least in part to the contribution of EDN1 in stimulating folliculogenesis. The YWHAB, also known as a 14-3-3 protein β, has a role in the Ras-signal transduction pathway and is a positive regulator of MAPK activity. It blocks the nuclear translocation of AKT1 and antagonizes the stimulatory effect of AKT on cyclin D1 expression, and eventually blocks apoptosis [32]. If indeed EDN1 and YWHAB are upstream of MAPK activity, these data suggest that DON and DOM-1 may act through these pathways. The increase in phosphorylation of these proteins in response to the DON and DOM-1, may be an initial protective response of the cells to these agents, however, there is no clear evidence for interactions between these molecules and DON. Some signaling molecules were dephosphorylated after addition of DON and DOM-1, including molecules such as transforming growth factor-β receptor type 1 (TGFBR1). This molecule is a potent inhibitor of epithelial and hematopoietic cell growth and proliferation [33]. The dephosphorylation of this protein is inconsistent with the simultaneous increase in MAPK phosphorylation observed after DON and DOM-1 treatment, although it is likely that the timing of changes of these proteins phosphorylation is not the same as the MAPKs [34]. Decreased phosphorylation of this molecule would be expected to favor proliferative pathways, which is inconsistent with the actions of DON and DOM-1 on theca cells in higher doses. A detailed time-course may also allow the determination of the sequence of intracellular pathway activation in response to DON and DOM-1.

The bottom-up mass spectrometry approach used in this study is however limited by the phosphor-enrichment strategy. The enrichment chemistry is not infallible, and it is likely that some phospho-peptides are not efficiently retained on the titanium solid phase. An alternative approach would be to separate proteins on SDS gel and perform in-gel tryptic digestion of narrow molecular mass bands containing proteins of interest. For example, MAPK1, MAPK3 and MAPK14 are between 38 and 44 kDa in size and could be easily isolated and examined without phospho-enrichment. The functional biology of the putative interactions of MAPK, EDN1, GNGT1 and YWHAB warrant exploration. Initial experiments would include the use of MAPK inhibitors to determine if MAPK activation is necessary for DON-induced changes in EDN1, GNGT1 and/or YWHAB phosphorylation.

Conclusion

This study has revealed that exposure of theca cells to low (sub-toxic) doses of DON and DOM-1 results in increased activation of several major MAPK signaling pathways similar to that of immune system cells. We concluded that both DON and DOM-1 have the potential to upregulate distinct MAPKs and downregulate specific signaling pathways that eventually stimulate bovine ovarian theca cell proliferation.

Acknowledgements

This research work was supported by NSERC Canada. We would like to thank Thermo Fisher Scientific for providing access to a Q-Exactive Quadrupole-Orbitrap Mass Spectrometer.

Supplementary Information Legends

Supplementary Table S1: The list of phosphorylated peptides in DON and DOM-1 vs. control group.

Supplementary Table S2: The list of dephosphorylated peptides in DON and DOM-1 vs. control group.

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fig 3

The Shopper’s Desired Cosmetic-Counter Experience: A Mind Genomics Cartography of Emotions

DOI: 10.31038/AWHC.2021454

Abstract

The study explores the mind of the shopper from the inside out, focusing on motives and interests emerging from the respondent’s own perception of herself with respect to an ideal skincare shopping experience. A Mind Genomics cartography (experiment) investigated the phrases that a female cosmetic shopper would use to describe herself in terms of the ultimate skincare shopping experience. Respondents evaluated sixty-three unique vignettes, created from 35 different phases, vignettes created according to a permuted experimental design. The analysis focused on the discovery of ‘mind-sets’, groups of respondents who showed similar patterns in the element which they felt best escribed them. Three mind-sets emerged: Ebullient, Insecure, and Perfectionist, respectively. A second analysis (scenario analysis) looked at the way five different emotional outcomes (e.g., pleasurable, informative) interacted with the remaining elements. Four of the five emotional outcomes (pleasurable, informative, glamorizing, and therapeutic) interacted with other element, but only among two mind-sets (Ebullient, Perfectionists). There were no interactions for the third mind-set, Insecure, or interactions when the emotional outcome was stated as ‘transformative.’ The paper shows the potential of deep analysis when the data are collected in a systematized fashion, using permutable experimental designs, and individual-level modeling.

Introduction

If we were to go back 70 years ago, to the beginning of the 1950’s, visiting companies manufacturing and marketing cosmetics, we might find an interesting, albeit strange world. It would be a world where there were people whom today we call ‘giants,’ people whose names are on the door, and who are revered for their vision, their inventiveness, their marketing prowess, and for the fact that they are no longer around to prove the opposite. The 1950’s, and the war period just before, was the era of the great person. These early giants ‘knew’ at an intuitive level what the customer wanted, and how to approach the customer. The head of the company might not know how to formulate the product but knew what the customer would like One might do research on customers, perhaps to see who buys, but not for creative purposes. The research would be labelled as sales research, the recitation of ‘what happened,’ and perhaps ‘why’.

At the same time, the advertising industry was promoting the cult of expert as well, not in the creation of the vision for the product, and certainly not the product itself, but rather in the presentation of the product to the public. What to say about the product, what to show about the product, how to communicate the hard-to-communicate emotions and benefits of the cosmetic were left up to the brilliant advertisers of the 1950’s, so-called creative geniuses.

The foregoing is by way of introducing our study, something from the middle of the second decade of this 21st century, 60 years later, the span of two-three professional lifetimes, after many of the great cosmetic founds and the legendary advertising genius, built the business, and retired. The focus of this paper is not the past, but the knowledge of today’s cosmetic consumer, the ‘she’ who buys in these still early years of the 21st century.

Asking a Respondent about Herself

Consumer researcher have realized that people differ dramatically from each, not necessarily in who they are as defined by conventional demographics, but by what they do, and in a much deeper way by who they are. What people do in the world of shopping for cosmetics can be further broken down into where they shop, their self-described motives and shopping behavior, and what they end up buying. For many products, this knowledge suffices. Whether cosmetics enjoy their greatest success at the counter, and should be sold that way, is hard to answer. The success of selling high end cosmetics on the Internet may address the fact that one does not need a profoundly deep understanding of people’s mind.

There are papers addressing cosmetic sales at the store counter, and in some case contrasting the sales process with that occurring online. The issue is that the papers give a sense of general differences, but they do not give the specificity, or the insight needed to be translated into business [1,2]. For example, we know from the published literature that people define themselves by the products they buy, and in the case of cosmetics, the products that women purchase have symbolic meanings, with these meanings transferred to the purchaser when she uses the product. For example, a superior cosmetic product may enhance a woman’s self-esteem when she uses it [3]. Furthermore, as Wu & Lee (2016) wrote in their paper on impulse buying in cosmetics marketing “Cosmetics differ from other retail goods in so far as the ‘consumption situation’ must influence consumers’ ‘impulse buying behaviour’ through ‘experiential marketing’ [4]. “ In other words, for at least one group (female, unmarried, age 30-35, university degree), it is the experience at the cometic counter in a store which often leads to an impulse purchase.

The foregoing discoveries tell us that it is important to give the cosmetic customer the ‘right experience’ at the cosmetic counter. That information is helpful. It is in the form of a sociological report or anthropological report. We now know the behavior, observing from the outside in. We know what happens; we know that there is a regular pattern. What we do not know is the specifics, the words, the phrases which address the external behaviors, and perhaps even drive them.

It was towards the goal of a profound understood of the high-end shopper of cosmetics and fragrances that this study was addressed. The reality was that a great deal about how women shop for cosmetics and fragrances were already known, but the different activities, appearing to be similar to each in other when looked at against the vast array of behaviors, were actually radically different. The study was to answer the very practical question of what a high-end shopping experience should be like in the mind of the customer. The approach, Mind Genomics [5] had already been used to explore the ‘High End’ of semi-luxury items [6], as well as High End perfumes [7].

Mind Genomics

Mind Genomics is an emerging branch of science focusing on the experience of the everyday, a topic that has not been well explored, despite its ubiquity. The topics of everyday, such as the purchase of cosmetics, are often topics left to business (recording what people buy), to advertising (what persuades), to formulation (what works), and the trade (how to move the product into the hands of the customer). These different groups, business, advertising, and so forth, are not oriented towards developing systematic knowledge of an archival sort, shareable with others, simply because cosmetics are sold for the benefit of the company.

Mind Genomics moves on a different path. With part of its history traceable to experimental psychology, the goal of Mind Genomics is to relate aspects of a topic such as cosmetics to the way people respond. The research strategy is experimentation, where the independent variable is a description of the one’s experience with cosmetics, and the dependent variable is a rating [8,9]. In this project the focus is on the way the cosmetic experience is described, and the response of people as to whether the description applies to them.

Beyond the experimentation is the use of statistical methods to create ecologically valid test stimuli, viz. combinations, and vignettes. In the ordinary research world, the respondent would be presented with statements about the cosmetic experience, especially the purchasing experience. The statements would be presented one statement at a time The respondent would then rate each phase, each statement about the shopping experience, using a scale to show the degree to which the ‘statement applies to me’. The problem with the one-at-a-time stimulus is that it forces the respondent to intellectualize the evaluation. Each phrase or test stimulus must be evaluated on the same scale, although the phrases might be of different types (e.g., how I feel when i put on makeup vs what type of experience do i want to when i go shopping). Respondents have a very difficult time maintaining the same criterion for different types of elements. An easier way is to mix the different statements, create small combinations, vignettes, acquire the reactions to the vignettes and deconstruct the reactions to the contributions of the individual elements. This activity might seem convoluted, but it gets around the problem of forcing the respondent to maintain a constant evaluation criterion with radically different elements. The reason the vignette approach works is because the compound description defies simple classification. The respondent ends up using the same criterion for all vignettes, and generally stops trying to outwit the system [10].

Learning ‘Who I am as a Cosmetic Shopper’ within the Design and Analytic Framework of Mind Genomics

At the time of the research, qualitative studies with high end shoppers emerged with the obvious finding that shoppers go into stores with different objectives. The earlier work had focused on things under the store’s control, and under the manufacturer’s control. The focus was on what was being sold, and the messages communicated to different types of customers. The typing of customers was based on then standard psychographics thinking, viz., that there are a limited number of basic ‘minds or ‘mind-set’ who do the shopping. The objective was to identify these basic groups, and to assign each woman shopper to one of these basic groups. Bringing the topic forward, the objective of the study reported here is to understand how the respondent defines herself as a cosmetic shopper, but a shopper who goes to buy cosmetics for different reasons. So, we are interested in the combination WHO she is, and the emotional OUTCOME.

Given the foregoing issues, it appeared possible to apply the Mind Genomics approach with a slight change. The world view of Mind Genomics is the analysis of decisions made about the world of the everyday. The standard Mind Genomics process defines the topic, creates a set of questions which tell a story about the topic, and then generate sets of answers to each question. In most studies the Mind Genomics procedure creates short descriptions of a product or service by combining the answers or elements, doing according to an experimental design. The respondent reads the set of descriptions, the offerings, and responds by separately rating each vignette in the set. The evaluation is usually ‘good/bad’, ‘go/no go’, etc. The analysis of Mind Genomics deconstructs the evaluative rating into the part-worth contributions of the different answers, the different elements. The process is simple, all of the elements are of the same type, and there is no ambiguity.

When all of elements are ‘external’ there is no issue. The respondent would be presented with the different combinations messages about the cosmetic purchase situation and instructed to rate the degree to which the combination fits the respondent. The deconstruction of the ratings show how strongly element fits the respondent. The e research ‘twist’ in this paper involves the measurement of statements about the respondent’s predilections, the nature of the behavior at the cosmetic counter, and a phrase about one off five internalized states of feeling about what the purchase experience should create.

During the early phases of the project, it became increasingly clear that the same person could shop for different reasons at different times. The five different end uses emerged as a range of alternative ‘psychological states’ that on person might have, albeit at different times. Whether these five states of mind could be separately experienced by one shopper was not of interest. It was sufficient to find out what messages described a person who was in one of the five states. That information was new to the marketing team. The five states about the ultimate skincare shopping experience were pleasurable, informative, glamorizing, therapeutic, or transformative, respectively.

The additional requirement was that the research should not call direct attention to any overall feeling about the shopping experience. The overall feeling should be an element in the study, on par with the other elements. The concern was that in a standard approach using today’s tools of market research, the researcher might simply create a matrix, the columns corresponding to the five states of ultimate shopping experience (viz., pleasurable .. transformative), the rows corresponding to different statements about the experience, and then for each column (state of experience), instruct the respondent to check every element which applies, or rate the fit of each element to the each of the five ultimate states of shopping experience. That approach would provide data, it always does. The question was whether the data would be meaningful. Simply asking the respondent to do something, having the respondent fulfill the request, and analyzing the data does not necessarily make the results meaningful.

Research and Analytic Steps Applied by Mind Genomics

Step 1: Define the Raw Material, Specifically Topic, Questions, and Elements (Answers to the Questions)

Mind Genomics works by presenting combinations of messages to the respondent and getting the answer. The steps involve the topic, questions which ‘tell a story’, and a variety of stand-alone phrases which answer questions.

The topic is ‘What describes ME’. Table 1 shows the seven questions, and the five answers to each question. These questions attempt to tell a story. The requirement to ‘tell a story’ Is not an absolute requirement. Rather, the idea of telling a story is to provide a framework wherein information can be presented to the respondent in a meaningful and seemingly rational format.

Table 1: The raw material for the study, comprising seven questions and five elements (answers) for each question.

table 1(1)

table 1(2)

Mind Genomics is flexible. Occasionally, ‘stray elements’ with no home find themselves inserted into a question. Thus, Question 1 (Describe your skin – what you have, what you want), has four elements about the skin (A1-A4), and room for a fifth element. In that case, A5 was put in (A5: For me it’ about staying sexy).It makes no difference as long as the element does not clearly contradict elements from other questions. The structure of questions and answers is done for bookkeeping purposes, and as an aid to the underlying experimental design. The respondents never see the questions. They only see answers, or more accurately, they only see combinations of answers.

The seventh question is the key to the study because it presents five ways of thinking about the ideal experience. There are five such ways of thinking, which will play an important role in the analysis. However, at this time, at the start of the study, when the elements are being assembled, Question 7 (What would you say is your ultimate skincare shopping experience) is simply a question, and the answers are simply elements.

Step 2: Create 63 Vignettes or Combinations of Elements Using an Experimental Design

It is at this point that Mind Genomics departs from more conventional methods. It will be these small combinations of 2-5 elements each that will be evaluated by the respondent, rather than the single element. Figure 1 shows an example of a vignette.

fig 1

Figure 1: Example of a four-element vignette.

The experimental design ensures that each of the 63 vignettes comprises the appropriate number of elements and the specific combination of elements. The experimental design is nothing more than a prescription for what elements will be combined. The experimental design is created to allow the 63 ratings, one per vignette, from each respondent to be analyzed by OLS (ordinary least-squares) regression at the level of each individual respondent. At the level of the individual respondent all elements appear equally often, no vignette comprises fewer than two elements nor more than five elements, and each respondent evaluates different combinations, because the elements are permuted. That is, the permutation simply changes the code, so that A1 might become A3, A2 become A4, A5 becomes A2 etc. [11].

Figure 1 shows an example of a four-element vignette. The elements are put together without any connectives. The structure of the vignette itself is a set of texts put one below the other, all centered It is easy to graze across the text and assign a rating. The structure of the vignette prevents it from become a densely worded concept. The respondent has no trouble le ‘grazing’ through the vignette, assigning a rating, and then going on to the next vignette.

Step 3: Create a Rating Scale, and an Orientation Page

Figure 2 shows the orientation page, and the rating scale. The respondent does not need an introduction to the topic, other than knowing the name of the study, the rating scale (How well does this concept describe YOU?), and some additional house-keeping information. The vignette gives away a little as possible about the nature of the design.

fig 2

Figure 2: The orientation page with the rating scale.

Step 4: Invite Respondents to Participate

The respondents comprise individuals who sign up for so-called ‘online panels.’ The individuals provide information about which they are their interests, etc. and ‘opt in’ to participate. With the increasing number of online surveys, working with these panelists has become the preferred method for research. The respondents do the surveys for compensation, but the specific agreement remains a matter between the individual and the online panel company. As a cautionary note, it is usually easier to work with these online panel providers than to source panelists oneself.

Step 5: Acquire the Data and Transform the Data into a Form Usable for Subsequent Analyses

The actual interview lasts about 10 minutes, with the respondent reading the orientation, and rating the 63 vignettes, followed by a self-profiling questionnaire.

The respondents rated each of the vignettes on a 9-point scale. Managers who use the data from these types of studies often express difficulty understanding what the ratings mean. Indeed, such difficulties are more widespread than one would like to believe. It is easy to work with an anchored Likert Scale, such as our 1-9 scale, but what does a rating of 4 or 6 or 7 mean? The question is profound. S.S. Stevens, legendary psychophysicist at Harvard University in Experimental Psychology during the years 1938 to 1973, often stated as much, when he averred that one of the hardest problems in science is to convert a continuum to a yes/no (Stevens, 1968, personal communication to author) The issue of the ‘best’ conversation is deceptively simple until the researcher is faced with a practical issue such as communicating with managers.

The common practice by consumer researchers is to divide this anchored Likert or category scale into two parts, corresponding to NO and YES, respectively. The division point is a matter of personal preference. For this study, the focus was on a stringent definition of ‘fits me’. The stringent criterion led to this division: Ratings 1-7 transformed to 0, and Ratings 8-9 transformed to 100. Following the transformation, a vanishingly small random number was added to the transformed ratings. The magnitude of the number (<10-5) is such that it adds the requisite variation to the rating in case all ratings from a respondent would end up being 1-7 (all transformed to 0) or 8-9 (all transformed to 100). In that case the regression program would simply crash without the miniscule variation introduced by the random number.

Figure 3 shows a preview of the data that will be used for rest of the analysis. A total of 251 women, cosmetic shoppers participated, each evaluated 63 different vignettes. Each respondent generates an average transformed value, which shows us the degree to which the respondent feels that the vignette describes her. The distribution of this average is shown by graph. The average ranges from 0 to 100, again with each circle corresponding to a respondent.

fig 3

Figure 3: Distribution of average Top2 ratings, by vignettes comprising 2, 3, 4 and 5 elements, respectively. Each point in the graph corresponds to one of the 251 respondents.

The figure is broken out into the averages of each of the 251 respondent for those vignettes comprising two elements, three elements, four elements, and five elements, respectively. As the number of elements in the vignette increases, there is a sense conveyed by the graph that a greater number of respondents feel on average that the vignette DOES NOT DESCRIBE THEM (viz., the distribution skews to the left, and the lower averages). As yet, however, we do not know anything about the ‘internals’ of the vignettes, viz., which elements drive a feeling of ‘describes me’.

Step 6: Create a Data Matrix Ready for OLS (Ordinary Least-squares) Regression Analysis

The data matrix comprises 63 rows for each respondent or 15,813 rows for the total panel of 251 respondents. Each row corresponds to a specific vignette, an a specific respone.t

The columns are set up as following:

Column 1 = Column order in the matrix. This is very important, when the researcher wishes to sort the data, and do analyses on certain parts of the matrix. Giving each row an order number allows the researcher to sort the data at the end of the analysis, so the matrix can be returned to its original form.

Column 2 = Respondent identification number (101-351). The respondent identification number is repeated 63 times, once for each vignette.

Column 3 = Order of testing for that panelist (1-63).

Column 4-38 = One column for each element (A1-G5). There are 35 columns for the elements. For each row, the cells in columns 4-38 either have the number ‘0’ when the element is missing from the vignette corresponding to the row, or the number ‘1’ when the element is present in the vignette corresponding to the row.

Column 39 -Rating assigned by the respondent on the 9-point scale

Column 40 – The transformed rating from column 39, being either 0 or 100 added to the vanishingly small random number. For ratings of 1-7 the transformed value is 0. For ratings of 8-9 the transformed value is 100.

Column 41 – Membership of the respondent in a two-mind-set solution, explained below

Column 42 – Membership of the respondent in a three-mind-set solution, explained below

Remaining columns – classification information about the respondent (age, products used, stores shopped, education, income, etc.).

Step 6: Create a Grand Model for the Full Set of Respondents

Recall that the variable TOP2 takes on the value 0 when the vignette was assigned the rating 1-7 and takes on the value of 100 when the vignette was assigned the rating 8-9. The model using all the data is expressed as: TOP2 = k1(A1) + k2(A2) … k35(G5).

The foregoing equation comprises 35 terms, one term for each of the 35 elements. The coefficients are the weighting factors. The model does not use an additive constant, the reason being that the model will be used in several different ways, and the elements must have coefficients that are directly comparable to each other, without the contribution of an additive constant. In this way there is no other influence on the magnitude of the coefficients. It is important to note that the coefficients estimated with an additive constant show very similar patterns to the coefficients estimated without an additive constant, as Figure 4 shows.

fig 4

Figure 4: The 35 coefficients for the total panel estimated with an additive constant in the model (abscissa) versus without an additive constant (ordinate).

Table 2 shows the strong performing elements for the total panel. For these models or equations without the additive constant, coefficients of 15 or higher are ‘meaningful’ from previous observations. Surprisingly, out of 35 elements selected by professionals in the cosmetic business, only three elements emerge as strong performers, strong definers of oneself. This is a remarkable finding. One would have thought that there would be many more strong-performing elements. As the data will suggest, the paucity of strong performing elements may be the consequence of the existence of underlying mind-sets, with different points of view, which end up neutralizing each other in the data from the total panel.

Table 2: Strong performing elements for the total panel.

table 2

Step 6: Create 251 Individual-level Models, Cluster the Individuals Using the Models, Extract Two and then Three Clusters (Mind-Sets)

A hallmark of Mind Genomics is the use of the data to extract mind-sets, groups of individuals with similar patterns of coefficients. The coefficients, in turn, show how the respondent ‘weights’ each of the 35 elements to drive the rating of TOP2 (viz., the rating of 100 after the transformation).

A key benefit of the underlying experimental design is that each respondent from the 251 respondents evaluated the precise elements so that the researcher can apply OLS regression to the data from each respondent. This approach produces a matrix of 251 rows, one per respondent, and 35 columns, one per element.

The matrix becomes the basis for clustering, to identify basic groups. Before the clustering, however, the matrix was further subject to statistical analysis, using principal components factor analysis. The 35 variables, viz. the coefficients, were reduced to five independent factors. Each respondent was assigned by the factor analysis to a location in the new five-dimensional space. The locations are defined by the ‘factor scores’ which differ by respondent, and map to the original 35 coefficients.

The final step in the clustering was to apply k-means clustering to the newly created data matrix comprising 251 rows (one row per respondent) and five columns (one column for each newly created factor). The clustering computed a distance between each pair of the 251 respondents, and located the respondents first into two groups, and then into three groups [12]. The two groups (clusters, mind-sets) could not be easily interpreted because there were too many ‘stories’ intertwined. The three groups were far more easily to interpret.

Table 3 suggests three different and easy to name mind-sets, each again showing fewer than 35 elements which perform strongly, viz., with a coefficient of 15 or higher. The three mind-sets are distributed across age and income (Table 4).

Table 3: Strong performing elements for three emergent mind-sets.

table 3

Table 4: Age and income of the total panel and the three mind-set.

table 4

MS 1 (Exuberant) – A sense of a woman who loves life, and wants to look it, and live it.

MS2 (Insecure) – A person who wants to feel secure. Surprisingly, this mind-set reacts strongly to only one element.

MS3 (Perfectionist) – A person who wants to know what she is doing, and ‘get it right’.

Interaction – How end uses acts as ‘directors’ of the performance of other elements

Ewald & Moskowitz (2007) introduced the of scenario analysis to understand the interactions among variables [13]. The idea is that elements may interact with each other, affecting the way that respondents respond to the vignette. For example, when the item can have one of several different brands, having one brand in the vignette can set an expectation, whereas having a different brand in the vignette will set a different expectation. The way to discern the effect of the brand on the performance of the elements is to separate the vignettes by brand, thus creating strata, and run the study for each stratum separately in that way it is possible to see how the coefficients of all of the non-brand elements change when the brand changes.

In our study on cosmetics, we have one group of elements, those in Question G, on one’s ideal skincare shopping experience. There are five different statements about ultimate experience, ranging from Pleasurable (G1) to Transformative (G5). Tables 2 and 3 suggest that these are not important elements in the mind of the respondent to describe oneself, a perfectly plausible result. The elements deal with the state of mind. Perhaps one does not feel that the ultimate skincare shopping experience is relevant as a descriptor of oneself.

In this final analysis of the data, we revisit the ultimate skincare shopping experience, not as an element which varies in competition with four other elements, but rather as a constant, present in all vignettes in a stratum. The process is straightforward. W first creates six strata of vignettes from the raw data. A stratum comprises all vignettes containing one specific elements from Question G on ideal experience This first step in the scenario analysis is means creating one stratum each for vignettes comprising G1, a second stratum for vignettes comprising G2, etc., and finally a sixth stratum for vignettes absent an element from G, by design.

We run the six regression equations, with only 30 elements (A1-F5). The elements G1-G5 are fixed in a stratum. We look at the strong performing elements, operationally defined as 30 or higher. When we do this analysis, we find the following:

  1. For each of the five described ultimate skin care shopping experiences, no element reaches 30 when we look at the total panel across the six experiences (G0 and G1-G5).
  2. When we look at mind-sets, one experience, ‘transformative’, fails to produce any element with coefficient of 30 above.
  3. When we look at the mind-sets, each mind-set shows specific strong-performing elements.
  4. We conclude that there is more to creating mind-sets about what elements drive strong responses. There is the distinct possibility that the focus must be on the combination of topic, mind-set and situation, as shown by Table 5, specifically by strong performing elements for a mind-set which change according to the stated ultimate skincare shopping experience.

Table 5: Scenario analysis, showing how the ultimate skincare shopping experience, when directly stated in the vignette, can increase the likelihood of a respondent saying, ‘it describes me’.

table 5

Discussion and Conclusions

Mind Genomics cartographies were designed for rapid scans of a product or service category, at first to identify what ideas as messages work, but then as way to understand the topic of how a person makes a decision within a specific, granular aspect of life. The early studies, of which this is an example, having been run about ten years ago, in 2012, required the managers, marketers, researchers and sales individuals to structure their thinking, and forced a systematized approach onto what had previously been the domain of the artist marketer or creative advertising professional.

It became clear over time with this study and with others that the experts had a great more knowledge than they were even aware of. There were ideas about what words and phrases worked, and senses of how these strong words and phrases were appropriate or not appropriate for given situations. What became also increasingly obvious was that the knowledge about the desired cosmetic experience was unorganized in the minds of the experts The knowledge was there, as well as the realization that there were profound differences among women in the way they shopped. Knowledge of this profound knowledge emerged as anecdotal, for the simple reason that the world of cosmetics (and fragrances) operated at two levels. At the very concrete level, there were product tests, and attitude and usage questions about brands, and feelings. The product tests were done on an as-needed basis, with technical reporting needed for product design and development. At a higher level was the tracking studies, about products used, feelings toward products, towards the category, and so forth. The results of these high-level studies emerged as charts, with a lot of trends, but very little specific information that could be used ‘as needed’, in an off-the-shelf format.

The data tables in this paper suggest immediately that there is a fertile field to be planted and tilled. This field comprises the systematic analysis of messaging, not simply to show to the ‘client’ that one’s creative ‘works, but rather a database which can drive new and important insights. The time has now arrived for the business community to invest in the systematic data basing of communications, phrases, not at the level of 20,000 feet, couched in generalities and endless tables, but rather in simple-to-use data created at the level of granular experience. The contribution of Mind Genomics to that prospect is a simple system, template (see www.BimiLeap.com), with rapid turnaround (hours), and of low cost and low risk. The study on cosmetics is simply one more example of what can be accomplished in a short time, with little effort.

References

  1. Hong BS, Kwon YJ, Park SH, Paik IS (2008) The effects of relational benefits and commitment on word-of-mouth intention and repurchase intention for cosmetic purchaser in internet shopping mall. Journal of the Korean Society of Clothing and Textiles 32: 1202-1212.
  2. Tajuddin K, Nikdavoodi JN (2014) Cosmetic buying behavior: examining the effective factors. Journal of Global Scholars of Marketing Science 24: 395-410.
  3. Kalender GI (2021) The symbol of cosmetic products as social distinction and the false needs of shopping for cosmetics at department stores aroused by women’s magazines. Advances in Journalism and Communication 9: 1-11.
  4. Wu P, Lee CJ (2016) Impulse buying behaviour in cosmetics marketing activities, Total Quality Management & Business Excellence 27: 1091-1111.
  5. Moskowitz HR, Gofman A (2007) Selling Blue Elephants: How to Make Great Products that People Want Before They Even Know They Want Them. Pearson Education.
  6. Bevolo M, Gofman A, Moskowitz HR (2012) Premium by Design: How to Understand, Design and Market High End Products. Gower Publishing, Ltd.
  7. Horoszko N, Moskowitz D, Moskowitz H (2018) Discovering and pinpointing the brand DNA of five great perfume brands. In Understanding the Marketing Exceptionality of Prestige Perfumes (pp. 26-73). Routledge.
  8. Milutinovic V, Salom J (2016) Mind Genomics: A Guide to Data-Driven Marketing Strategy. Springer.
  9. Moskowitz HR, Gofman A, Beckley J, Ashman H (2006) Founding a new science: Mind genomics. Journal of Sensory Studies 21: 266-307.
  10. Porretta S, Gere A, Radványi D, Moskowitz H (2019) Mind Genomics (Conjoint Analysis): The new concept research in the analysis of consumer behaviour and choice. Trends in Food Science & Technology 84: 29-33.
  11. Gofman A, Moskowitz H (2010) Isomorphic permuted experimental designs and their application in conjoint analysis. Journal of Sensory Studies 25: 127-145.
  12. Likas A, Vlassis N, Verbeek JJ (2003) The global k-means clustering algorithm. Pattern Recognition 36: 451-461.
  13. Ewald J, Moskowitz HR (2007) Market forces: The push-pull of marketing and advertising in the new product business. Chapter 8 103-122.In: Accelerating New Food Product Design and Development (ed. J.H. Beckley, M.M. Foley, E.J. Topp, J.C. Huang & W. Prinyawiwatkul), Blackwell Publishing and the Institute of Food Technologists, Chicago.

Recent News in Medical Nutrition Therapy

DOI: 10.31038/NRFSJ.2021423

Abstract

Medical nutrition is essential part of the medical therapy. Undernourished patients predict worse outcome in various disease states and higher costs for the healthcare system. Research activity and presentation of best practices ensure the continuous development of this discipline. Here, some selected news are introduced from the last 4-6 years. The GLIM criteria serve as internationally accepted uniform tool for assessment of patients nutritional status instead of the several assessment tools applied before. In the field of parenteral nutrition huge development was the introduction of the GLP-2 agonist teduglutide that help short bowel patients to the gut adaptation. An other discovery was the indicator function of citrulline in the same patient group. Some new recognitions in the field of macronutrients amino acids and lipid emulsions are also discussen. Finally three preactical innovations of enteral nutrition are negotiated: the recommended use of supplemental parenteral nutrition for patients where planned macronutrient supply can not be reached via enteral nutrition, the bioavailability of amino acids administered orally or enterally which is wors than previously conceived and the use of citrulline in the oral and enteral nutrition is recommended due to its multiple benefits and good bioavailability.

Keywords

Medical nutrition, Parenteral nutrition, Enteral nutrition, GLIM criteria, Teduglutide, Amino acid, Fat emulsion, Citrulline

Introduction

Nutrition therapy is a dinamically developing specialty. One important part of it, the medical nutrition therapy obviously must be part of the therapeutic armamentarium because undernutrition definitively worsens patients outcome, elongate recovery time and increase treatment costs. Some of the recent findins influenced the strategy and/or daily practice of this discipline. Also, appearance of precision medicine influenced the doctors attitude in this aspect; therapeutic consideration became more accurate and carefull. Here we gethered highlights of the nutrition therapy of the last ca. 5 years and present in a condensed form focusing to the parenteral and enteral nutrition.

Assessment of Nutritional Status of Patients

During the past decades many assessment tools have been developed. Most used ones are the NSN2000, the NRS-2002, the SGA, the MUST, the MNA and mini-MNA, etc. Most of them are specifically good in certain patient population and bear weaknesses in other fields. Internationally, in 2016 started a discussion among leaders of various potent nutrition-oriented scientific societies about development of a new tool enabling global use with global consensus. By 2019 GLIM criteria was elaborated [1].

GLIM criteria (Global Leadership Initiative on Malnutrition) is a two-step evaluation of patients’ parameters having risk of undernutrition. First step is an assessment of patients’ parameters with one of the previously used screening methods. Those who are at risk for undernutition according to these assesments, should be subjects of the second assesment. In this 2nd phase three phenotypic and two ethiologic criteria are assessed. Just one criterion should be present from both group of criteria to declare diagnosis of undernutrition. Phenotypic criteria are either accidental and tendencious loss of weight or BMI under 18.5 or reduction of muscle mass. Ethiologic criteria are reduced food intake or inflammation or presence of devastating disease.

The usefulness of this tool has been tested in various patient and disease categories during the last 2 years and are running as well [2-4]. To date, the correspondence with empirical results and declaration of undernutrition according to the GLIM Criteria has been confirmed [5].

Parenteral Nutrition

Parenteral Nutrition (PN) is one of the most risky way of antificial nutrition even if this risk is less than that of several intravenous medications. Parenteral nutrition may provide a more risky nutritional form than Enteral Nutrition (EN), terefore EN is the preferred route of administration however, in certain situation this is unavoidable and certainly more efficient that EN. The very first example of this PN-dependent condition is the Small Bowel Syndrome (SBS). In this theme most recent development was the introduction of teduglutide.

Introduction of Teduglutide into the Daily Routine

Teduglutide is a synthetic analogue of glucagon like peptide-2 (GLP-2). Very similar to GLP-1 agonists, which are successfully used for ca. a decade in the diabetes therapy, as this incretine hormone is produced in the small intestine. The GLP-2 hormone is also produced in the enteroendocrine L-cells of the lower Gastrointestinal Tract (GIT), closer in the ileum and colon and its receptors are located in the same gut-segment. GLP-1 and GLP-2 are synergistically help the organism respond to nutrient availability but their main target differ. Teduglutide slows down proximal motility of the GIT, drives crypt cell proliferation by facilitation of the receptors and thus it increases the development of enterocytes, regenerates the intestinal musosa and helps enlarge the mucosal surface by rising villus height that shrink in absence of enteral feeding, on a whole it drive restoration of integrity of the gut wall [6].

Clinical results of use of teduglutide are fairly good: 20-24% of patients on exclusive Total Parenteral Nutrition (TPN) can get rid of it and more than half of the patients can decrease the dependence on daily TPN [7]. The success depends mostly on the remaining size of ileum and colon. Who has no one centimetre of these gut segments has no chance to improve gut adaptation with teduglutide therapy because the cells producing this hormone and its receptors are missing after the resection.

Nevertheless, beside the benefits due to the facilitation of the enterocytes accidental developments of polyps and increased tumorigenesis has been detected. Therefore a careful monitoring is required in SBS patients being on teduglutide therapy.

Selection of Parenteral Amino Acids

Amino Acids (AAs) are essential component of parenteral nutrition admixtures. As amino acids are crystalline and provision of combination of minimally 12-14 amino acids is needed to ensure building bricks for endogenous protein synthesis, industrially manufactured amino acid mixtures are used to make parenteral nutrition admixtures aseptically in the hospital pharmacy laboratory. After the 1980s, most of European hospital pharmacies had an aseptic „mixing unite” preparing individual parenteral nutrition mixtures. These laboratories, due to the introduction of industrial parenteral mixtures (2 and 3 chamber bags or „convenience systems”) have been closed, mostly based on uneconomical operation. Today, hospital based individual parenteral admixtures are present in the USA in a proportion of ca. 65-70%. In Europe, majority of Total Parenteral Nutrition (TPN) is provided in form of industrially manufactured multichamber bags, which would be suitable for ca. 82% of the patients. In case of the rest compromise is needed.

In the era of precision medicine, more attention is paid to the tailor-made therapeutic solutions. In this context personalized nutrition admixtures would be more and more required, especially in the intensive care and, in the neonatology. This tendency has recently been started [8]. The composition of amino acids has an impact víz. the effectiveness of a given TPN is linked to the proportion of essential amino acids, rather than to the total AA content [9]. Recently a tendency to open mixing laboratories is detectable in Europe as well. Moreover, lately many publications support the fact that amino acids are underdosed in a remarkable mass of patients. Inadequate protein provision results in protein deficiency with extensive negative impact [10]. This bad practice partly numerous reasons, among others it can be deducted from the erroneous judgement that protein need is equal to amino acid need of a patient. However, due to the water production during the peptid bond formation 100 g amino acid intake results in 83 g protein only. In case of enteral nutrition, where the peptide-component is usually whey proteine, the loss is higher because the enterally administered protein must be decomposed to amino acids before endogenous protein synthesis covers the needed of new proteins.

Selection of Fat Emulsions

Fat emulsions are needed to ensure essential fatty acids, to increase caloric density of the nutrition admixtures and, since today fish oil is mandatory component of the lipid emulsion mixtures, to improve n3/n6 ratio. Moreover, fish oil pure emulsion for parenteral use is available thus any TPN can be augmented with n3 Fatty Acids (FAs). The impact of n3 FAs in the prevention of inflammatory reaction mostly in the arachidonic cascade (competition of n6 and n3 fatty acids for the enzymes in their metabolic cascade) is well known. However, the importance of Eicosapentaenic Acid (EPA) and Docosapentaenic Acid (DHA) in the restoration of inflammatory process via resolvins and the partial prevention of release and action of inflammatory mediators by protectins and maresins are just recently recognized benefits. These discoveries are comparable benefits to those effected by the inhibition of proinflammatory reactions [11].

Citrulline as Indicator

In case of short bowel syndrome (status after removal of the majority of the gut) long term or life long parenteral nutrition (in form of home parenteral nutrition) is needed for majority of patients due to lack of absorbtive surface for food/nutrients. As certain adaptation of the remaining piece of gut exists: after a while many patients will be able to take up certain amounts of nutrients enterally thus partially can be feed again enterally or orally. The time frame and the extent of this adaptation is uncertain because the state of the gut could not be measured and clinicians regularly make challenge to see the patients reaction to enteral feeding. Some 10 years ago it has been discovered that the non-essential amino acid citrulline can be used as indicator of gut function [12]. Citrulline is produced almost exclusively by the duodenum and the upper intestinal (jejunal) enterocytes from glutamine and arginine. It has been documented that serum-citrulline (se-C) levels are in close correlation with the full amount of enterocytes thus with the function of the jejunum which is the main field of nutrient absorption. Randomized Clinical Studies (RCTs) and meta-analyses of RCTs demonstrated that the need of PN is inversely correlate with the se-C and so this can display the odds for the successfull enteral nutrition [13,14]. This discovery has multiple benefits because by this technique EN-challenges, that are uncomfortable for the patients, become causeless and the the PN-dependence of the patient decreases moreover the cost of EN is much lower than that of PN.

Enteral Nutrition

Enteral nutrition (tube feeding) was and still is the first choice administration route in the medical nutrition if patients are not able to drink/eat per mouth proper amounts of macro- and micronutrients. As even recent studies confirm that the measured and /or calculated amounts of nutrients are not taken up orally/enterally by significant number of partients, supplemental nutrition is required.

Supplemental PN to EN

In the last two-three decades enteral nutrition bacame declared as optimal route of feeding in patients not being able to feed orally. The old routin was that patients get either EN or, if EN was not enough or got impossible, PN. This line-up has fundamentally changed during the past 4-6 years [15]. It has been demonstrated, that most of the patients in the intensive care units don’t get the calculated (needed) amounts of nutrients. Reasons are restricted absorption, high residual volumen, poor motility, etc. In case patients can be insufficiently nourished enterally, Supplemental Parenteral Nutrition (SPN) is necessary. The only way of supplying further protein and sources of energy in such cases is administration of supplemental intravenous delivery of nutrients. By this way one can administer higher amounts of nutrients and pharmaconutrients as well [16]. As most patients on enteral nutrition have no central venous access, this type of medical nutrition can also be administered as peripheral parenteral nutrition. SPN is a safe and cost-effective way of supplying the missing energy and amino acids for patients having nutritional deficits after enteral nutrition [17]. Randomized clinical trials demonstrated that short term catabolism can be stopped in high proportions of severly malnourished (intensive care) patients by this hybrid way of nutrition with additional benefits in decrease of nosocomial infections as well [18]. SPN can and should be given to non-intensive care patients as well, if nutritional data indicate it. This type of additional nutrition usually indicated transitionally only.

Bioavailability of AA

In patients with undernutrition protein catabolism dominates and during their nutrition support they get artificial protein sources (EN-formulas) to ensure successful endogenous protein synthesis preferably by oral or enteral nutrition. Unfortunately, in many hospitals patients do not receive sufficient protein supplementation [19,20]. Among the many reasons misconception could play a role, too. In the past clinicians calculated with 100% bioavailability. The measured or calculated need of the patient had to be cover with identical protein-content of nutrition solutions. In this case declared protein-content of the nutrition solution was applied as basis for the calculation of necessary dose. Recent studies draw attention to the wastage in nutrients during the enteral nutrition. In 2002, van der Schoor and his team published the study to demonstrate the splanchnic first-pass effect affecting the bioavailability of the ingested protein but in the past 20 years clinicians and dieticians forgot about this loss [21]. Liebau and co-workers recently demonstrated the discrepancies between amounts of amino acids enterally administered and appeared in patients systemic circulation [22]. This loss may reach 15-20% as well. In this light the hyperalimentation concept of the sixties-seventies of the last century was not a big failure in the field of enteral and oral medical nutrition. Moreover, this is the time to rethink calculation technics of the daily routine in medical enteral nutrition and to use more frequently SPN.

Citrulline Fortification

Several efforts have been made to fortify enteral nutrition formulas with non-essential amino acids and conditionally essential amino acids in order to improve anabolic effect of feeding tube meals. One important example is arginin-enrichment. This type of pharmaconutrition is especially favorable in acceleration of wound healing [23,24]. Unfortunately, arginine has a high immediate metabolism in the liver (first pass effect) therefore the dose has been elevated in time. The successfull arginine-fortified formulas have in certain aspects some negative results because in high doses many patients presented adverse or toxic reactions. The change of arginine to citrulline could avoid these adverse effects, because it is direct precursor of arginine and the switch to citrulline resulted in much higher arginine blood levels than arginine administartion. Citrulline has exceptionally high bioavailability, too. Its urinary loss is minimal in comparison to arginine. Moreover, citrulline administration improved systemic amino acid availability, in genereal [25]. Further, clinical studies demonstrated its positive effects in sarcopenia and cardiovascular diseases, the latter is under investigations yet [26]. According tot he recent publications it seems citrullin will enter into the composition of EN formulas in the near future.

Discussion

Clinical nutrition is regarded as stepchild in the medical therapy, however its benefits are not to be queried. Its development is part of the global progress of medicine.

Identification of undernutrition is essential part of the patient hospital admisson. Here we displayed the novel globally accepted tool called GLIM criteria to diagnose undernutrition. This is an important advancement in the frame of international research activity because earlier the undernutrition determined on various assessment base could not ensure the comparability of the study results.

Parenteral nutrition is the most effective mode of artificial nutrition. Its unique benefit is that it can be used in patients with gastrointestinal failure. Typical example for dependence on parenteral nutrition is the increasing number of Short Bowel Syndrome (SBS). These patients often use PN life long (home parenteral nutrition), but some of them (who has more than 1,5-2m gut) are able to adapt their intestine to higher absorption rate within several months or years. This adaptation can be accelarated by the hormonal GLP-2 agonist teduglutide. Integration of this medicine into the treatment of SMS patients gives the chance of weaning off PN in a certain proportion of patients. Whether the induction of gut enteocytes successfull is, measurement of serum level of circulating citrulline became a good indicator. Both innovation basically influence home parenteral nutrition care and the quality of life of patients.

Macronutrients plays a pivotal role in medical nutrition therapy. Determination how much macronutrients (energy and protein sources) are needed to restore the patients’ anabolism after the disease-induced catabolism needs sophisticated measurements and calculations. Recent recognitions helped clinicians to refine computation of optimal amino acid supplementation. Some of the macronutrients also have pharmacological activity as well therefore this type of nutrition is called pharmaconurtition. In case of lipid emulsions new research results opened new vistas in fighting against inflammation. By this way optimal combination of various fat emulsions may improve effectiveness of medical nutrition intervention. But there are news in the field of the first choice medical nutritional mode, the EN as well. Some misbeliefs were elucidated recently. The accurate control of patients on EN revealed that there are several reasons why patients don’t get calculated amounts of EN on the wards. As adequate nutrition is prerequisit of proper healing, introduction of periperal parenteral nutrition for those who don’t tolerate higher amounts (>80% of calory and protein need) of EN, is strongly recommended. Moreover the calculation of daily dose of enteral formulas should be changed due to the hidden loss of ingested protein source. Finally the impact of introduction of novel nutrients should be stressed. Recent appearance of precision medicine force the professionals of medicine and medical nutrition to reevaluate details of daily routine and the used tools, inclusive the medicines and enteral tube feeds. One can find the way to individualized nutrition as well, especially if nutrition support teams are working in the healthcare settings. Multidisciplinaty thinking bring the new ideas and the solutions.

Summary

Lifelong learning is imperativus for healthcare professionals as well. New materials and technics may improve medical diagnosis and medical interventions. Here we displayed some of the recent news in the sphere of medical nutrition. Use of teduglutide and citrulline improve quality of life of the short bowel patients. Recent news on amino acids and fat emulsions may provide better optimalization of parenteral nutrition therapy. Novelties in the field of enteral nutrition also contribute to better service within the healthcare system. This selection of news based on a subjective decision but for those not living in this medium may demonstrate the progress of a segment of clinical nutrition.

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From Evolutionary Medicine to Precision Medicine in the Hypertension Treatment in Africa

DOI: 10.31038/IMROJ.2021651

Abstract

In ancient humans from Africa populations the hot, dry, and salt-scarce climate have almost certainly selected an efficient capacity to perspire and the development of mechanisms for the conservation of sodium in the kidneys. The more recent development of African cities following western lifestyles is revealing these selected compensatory mechanisms by means of hypertension. Africa expands from North to South (70° latitude), presenting an enormous diversity  of  climates  and  natural  environments  associated  with  different  selective  pressures.  In  order  to  improve  hypertension  treatment  in Africa it is needed to obtain new genomic data from the different African ethnic groups, as this is the only way we can put into practice precision  medicine based on evolutionary medicine.

Traditional medicine restricts itself to the study of causality inserted in a short period of time, most often dealing with the present symptomatology (acute symptoms), or sometimes also considering the natural history of the disease and the associated chronic symptomatology. Hereditary and genetically predisposed diseases further extend this time window, including the study of several generations of the patient’s family. However, when the approach to medicine is evolutionary, the time factor changes scale, as the search for causality invokes adaptive processes inherent to evolutionary mechanisms, such as natural selection.

After the emergence of the genus Homo in Africa, hominids occupied a wide variety of environments. It is now believed that Homo sapiens has originated in Africa about 500,000 to 300,000 years ago, according to a “Pan-African” model, in which gene exchange was possible through sporadic crossbreeding between geographically distinct populations of Homo sapiens or even other hominids [1-4]. Regions located near the equator have higher diversity of pathogens, and consequently have been the scene for outbreaks of meningitis, Ebola and malaria [5-7]. Some genetic variants that confer resistance to malaria are classic examples of the selection of alleles that, in homozygosity, predispose individuals to severe genetic diseases, such as sickle cell disease. Here, the existence of a large availability of food, delayed industrialization in Africa, once compared to the other cities of western culture. Africa’s later urban development has had a profound impact on health, especially in countries with the highest rates of development. For example, regarding high blood pressure, it occurs more frequently, earlier and more severely in African individuals or individuals of African descent [8]. Hypertension is a relevant public health problem, being a risk factor for cardiovascular disease and kidney failure. Hypertension affects about 25% of the adult population in the world and It is known to have a genetic [9,10].

From an evolutionary perspective, there is evidence that susceptibility to hypertension may be ancestral, and that part of the differences presented are explained by exposure to different selective pressures. The desire for salt and water and vascular reactivity, key components of susceptibility to hypertension, must have been adaptively acquired in the ancestral African environment characterized by a hot, dry and salt-scarce climate [11]. Heat dissipation is essential in hot environments and is achieved most efficiently through its   loss through evaporation, consequently humans have developed an enormous capacity to perspire. However, excessive transpiration can lead to significant losses of salt and water, which together with the low availability of salt in tropical climates, results on one hand in an increased demand for salt and on the other in the development of mechanisms for the conservation of sodium in the kidneys. In fact, it turns out that humans and non-human primates from tropical regions have a greater desire for salt and water [12-15]. Another consequence of excessive sweating is the loss of blood volume, with a subsequent increase in arterial tone and cardiac contraction in order to guarantee blood pressure and effective perfusion in the organs [16]. Thus, the genetic variation associated with these compensatory mechanisms related to the increase in arterial and cardiac contractility must certainly have constituted an advantage in the environmental context of human evolution in its most primordial phase.

Originating in Africa, our species ended up conquering new territories, expanding to other regions of the globe, at different latitudes, facing different environments. Then there was a need to adapt to new thermodynamic control mechanisms, in which the objective progressively stopped being the dissipation of heat, but rather its conservation. On the other hand, selection by demand for salt and water and cardiovascular reactivity decreased [17,18]. Thus, the greater susceptibility to hypertension  in  African  populations,  compared  to the non-African ones, results from physiological adaptations to different environments that were progressively imprinted in the genomes for about 30,000 years [19]. The most recent development of African metropolises, associated with a more stressful lifestyle, an increase in the consumption of fast-food products, with high levels of salt and promoters of overweight/obesity, highlighted the health problems that these populations face in the area of hypertension and cardiovascular diseases, revealing the synergistic effects of exposure to new lifestyles with the evolutionary processes encrypted in their genomes [19].

Currently, several genes with polymorphic variation that code for proteins involved in compensatory mechanisms of volume change and vascular reactivity, secondary to salt loss, have been identified [19]. For example, the haptoglobin gene, which has polymorphic variation only in humans, codes for  an  acute-phase  protein  that has been associated with high levels of sodium-sensitive blood pressure for more than 30 years. Population studies have shown similar allelic frequencies between two countries located at similar latitudes – Honduras (Central America) and Mozambique (Africa) [20]. In this case, it is interest to observe that the Native American population (Honduras), despite being more recent and coming from cold-adapted populations from North  Asia,  is  genetically  similar to the more ancestral one (Mozambique), reflecting a more recent adaptation that occurred in less than 20,000 years, demonstrating the strength of selection by latitude. Another gene traditionally associated with hypertension, the GNB3, has been shown to contribute to the disease in a latitude-dependent manner [19]. Evidence of selection by latitude was also found in mitochondrial genes linked to oxidative phosphorylation, and therefore also in the production of heat by cells, essential for adaptation to external temperatures [21].

The genetic variability between populations fixed by selective pressures is particularly relevant when it is intended to implement precision medicine, in which a  more  personalized  treatment,  which considers the individual’s genetic profile, allows for a more targeted therapeutic intervention. This approach is very relevant when dealing with multifactorial diseases (such as hypertension), in which several genes in partnership with the environment shape the individual’s phenotype. Precision medicine tends to use information obtained through new mass sequencing technologies. However, the few technological resources that exist in Africa, limit the collection of these data [22]. Only a small number of health and/or research institutions contribute with data, but often targeting only already known genes, thus limiting the discovery of variants in new genes [22]. In fact, an analysis of several genome-wide studies revealed that Africa is underrepresented, despite having a large number of associations between genetic variants and various diseases [23]. The relevance of these studies grows if we consider the great genetic diversity that exists within this continent. Africa expands from North to South (70° latitude), presenting an enormous diversity of climates and natural environments associated with different selective pressures. The African diaspora that happened about 70,000 years ago, occurred via a population bottleneck effect, as it is estimated that only about 1,000 individuals of East African descent have achieved this effect [24,25]. In this way, the African populations, more ancestral, end up presenting a greater genetic diversity compared to others. Then, there is an urgent need to obtain genomic data from the different African ethnic groups, as this is the only way we can put into practice precision medicine based on evolutionary medicine.

References

  1. Hublin J-J, Ben-Ncer A, Bailey SE, Freidline SE, Neubauer S, et (2017) New fossils from Jebel Irhoud, Morocco and the pan-African origin of Homo sapiens. Nature 546: 289-292.
  2. Scerri EML, Thomas MG, Manica A, Gunz P, Stock JT, et (2018) Did Our Species Evolve in Subdivided Populations across Africa, and Why Does It Matter? Trends in Ecology & Evolution 33: 582-594. [crossref]
  3. Schlebusch CM, Malmström H, Günther T, Sjödin P, Coutinho A, et al. (2017) Southern African ancient genomes estimate modern human divergence to 350,000 to 260,000 years Science 358: 652-655. [crossref]
  4. Stringer C (2016) The origin and evolution of homo sapiens. Philosophical Transactions of the Royal Society B: Biological Sciences 371.
  5. Alexander KA, Sanderson CE, Marathe M, Lewis BL, Rivers, CM, et (2015) What factors might have led to the emergence of Ebola in West Africa? PLoS Neglected Tropical Diseases 9: e0003652. [crossref]
  6. Cairns ME, Walker PGT, Okell LC, Griffin JT, Garske T, et al. (2015) Seasonality in malaria transmission: implications for case-management with long-acting artemisinin combination therapy in sub-Saharan Malaria Journal 14: 321.
  7. Zhao S, Lin Q, He D, Stone L (2018) Meningitis epidemics shift in sub-Saharan belt. International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases 68: 79-82.
  8. Burt VL, Whelton P, Roccella EJ, Brown C, Cutler JA, et al. (1995) Prevalence of hypertension in the US adult population: results from the Third National Health and Nutrition Examination Survey, 1988-1991. Hypertension 25: 305-313. [crossref]
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  11. Bicho M (2018) Genetic predisposition for essential hypertension, based on studies of genetic polymorphisms in modern global human populations: The perspective of evolutionary Revista Portuguesa de Cardiologia 37: 509-510.
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  19. Young JH, Chang Y-PC, Kim JD-O, Chretien J-P, Klag MJ, Levine MA, et al. (2005) Differential susceptibility to hypertension is due to selection during the out-of-Africa expansion. PLoS Genetics 1: e82. [crossref]
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  24. Gravel S, Henn BM, Gutenkunst RN, Indap AR, Marth GT, et (2011) Demographic history and rare allele sharing among human populations. Proceedings of the National Academy of Sciences of the United States of America 108: 11983-11988.
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Modified Dachaihu Decoction Regulates FOXO3a Acetylation Activated Autophagy and Relieving Insulin Resistance in Obesity

DOI: 10.31038/EDMJ.2021542

Abstract

Background: The previous studies of our research group indicate that the weakening of mitochondrial autophagy function is the key mechanism of obesity-induced insulin resistance, and Mitochondrial autophagy mediated by PINK1/Parkin pathway can reverse mitochondrial dysfunction. Recently, we found that FOXO3a, as an upstream regulator of PINK1, has been found to play a key role in regulating mitochondrial autophagy.However,FOXO3a is regulated by deacetylation.

Objective: To explore whether Modified Dachaihu Decoction can regulate liver mitochondrial autophagy mediated by the PINK1/Parkin signal pathway by regulating the expression of FOXO3a acetylation.

Methods: Establish cell models. They were divided into three groups (blank control group, model control group, and Modified Dachaihu Decoction group). The supernatant was extracted and determined by a biochemical method; The insulin sensitivity of each group was evaluated by a 3H-D-glucose incorporation test; MDA and TNFα、IL-6 in the supernatant were detected by ELISA level; The level of SOD was detected by spectrophotometry.The expression of mitochondrial autophagy-related proteins and the expression of FOXO3a and ace-FOXO3a were measured by Western blot.

Results: Compared with the model control group, the Modified Dachaihu Decoction group increased insulin sensitivity, and The levels of TNF- α、IL-6, and MDA decreased, while the activity of SOD increased (P < 0.05). Western blot showed that compared with the model control group, the expression of mitochondrial autophagy-related proteins and FOXO3a in the Modified Dachaihu Decoction group increased, and the expression of ace-FOXO3a decreased (P < 0.05).

Conclusions: we speculate that in this experiment, Modified Dachaihu Decoction may regulate mitochondrial autophagy mediated by PINK1/ Parkin signal pathway by downregulating the expression of FOXO3a acetylation, to reduce Hepatic Insulin Resistance in Obesity.

Keywords

FOXO3a Acetylation, Autophagy, Hepatic Insulin Resistance

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Attitudes towards Closing Economic Gaps: Mind-Sets and the Responses to Solutions and to Solvers

DOI: 10.31038/PSYJ.2021351

Abstract

The paper presents two studies dealing with attitude towards closing economic gaps, as defined by the poet Percy Bysshe Shelley’s aphorism ‘The rich get richer, and the poor get poorer.’ Both studies worked with sets of 16 different messages, elements that were combined into small vignettes comprising 2-4 elements, the combinations dictated by an underlying experimental design (Mind Genomics). In Study #1 the elements were actual solutions respondents rating the feasibility of the combination of solutions The results from 51 respondents suggest three different mind-sets about what will close the economic gaps ways of evaluating the elements, so-called mind-sets (MS- A1 Business takes lead to create solutions, MS-A2 Can’t think of solutions, MS-A3 Big picture activists). In Study #2 the elements were either specific people, or roles that people fill. The results from101 respondents suggest that there are only two mind-sets about who can close the economic gaps (MS-B1 those who work through power, orders and hierarchy, MS-B2 those who work by convincing others.) The two studies present a complementary pair of approaches to understand the mind of the citizen from the ‘inside out’ when the topic is a societally relevant problem.

Introduction

One need only read the news to get a sense that the economic situation of the middle and the lower classes is becoming increasing dire. Over the past decades, the disparity in income or really in purchasing capabilities have widened, until there is almost a sense of a shrinking middle class, and an increasing group of people who are living from check to check, simply because of the high prices. The awareness of the disparity is decades old [1-3]. The answer is the economy, of course, just like it was in 1992, when William Clinton was elected. The problems of today, 2021, are more severe, however, and the issues far deeper. Economic issues, especially the massive disparity between the rich/ultra-rich and everyone else is codified in the phrase ‘the 1%.’ Furthermore, at the time of this writing, inflation is rearing its ugly head, goods are becoming in short supply because of the ‘supply chain,’ lawless is breaking out across the United States, the country is emerging slowly from the ravages of COVID-19 pandemic, and the nation is divided into the red states and the blue states, the so-called Republican (party) States, and the so-called Democratic (party) states. In other words, the Fraying of America, a term coined by Arthur Kover in work begun a decade ago with Howard Moskowitz, awaiting publication [4].

The traditional answers to the general issue of economic disparity range from laissez-faire (as it is being one today, November 2021, by President Biden, in the United States), to more activist efforts such as government actions [5]. Beyond government action are community/social activities [6], education [7]. All the methods being tried are being stress4r when they move from the almost-hobby nature, serious national application [8].

In the beginning of 2021, Arthur Kover suggested that Mind Genomics be applied to the issue of America’s problems, first to see whether one could create a series of ‘solutions’ and see how they worked with 26 different societal problems, and second to look at the same set of 26 societal problems, but this time look at people (specific individuals or generic titles) to see how they might be perceived as able to solve the problems. This second approach was novel; to identify different individuals, really ‘icons’, combine these icons into small groups, and ask whether the small group would be able to cooperate and arrive at a solution [9]. The ideas for both experiments came in part from conversations about systems thinking and systematic approaches to problems [10].

Mind Genomics – What It Is, Where It Comes From, and How It Works?

The typical approach to social research comprises either observation or studies of large-scale systems, inspired by sociology, or in-depth observation of a small ‘world’ inspired by anthropology. These approaches tend to be observational, looking from the outside in. The observational approaches are complemented by research using surveys, where respondents are instructed to answer many questions about a topic, the questions then tabulated to give a profile of the topic. The observational approaches are also complemented by qualitative research, discussions with the respondent, whether alone (in-depth interview), in pairs (dyads) to allow for interactions, or focus groups with three or more respondents.

The traditional methods are valuable sources of data, but they are not experiments. They are data gathering methods of what exists. They do not show causation, although sometimes causation can be hinted at through so-called causal modeling, an advanced form of statistical regression analysis [11].

Rather than working from the ‘outside-in’ Mind Genomics focuses on the pattern of responses of people to test stimuli, these test stimuli approach for the topic. The researcher in Mind Genomics identifies the topics, identifies relevant ideas in the form of ‘messages’, combines these messages into small, easy to read ‘vignettes’, presents the vignettes to the respondent, obtains the rating of the vignette, and then deconstructs the rating into the contribution of the different messages.

The Mind Genomics approach relies on experiment, on observing the pattern of responses of people to messages dealing with everyday life. The respondent, in turn, is a simple responder, a subject present with this material. The research does not focus on what the respondent says she or he ‘feels’ or ‘thinks’, but simply how the respondent behaves when confronted with the test material.

The foregoing may seem overly subtle and controlled, because it seems so natural to ask questions and to get honest answers. The reality is quite different, however. Most people come with many biases, some to give the ‘right answer’, some to please the interviewer, some to avoid conflict, and so forth. Just as important is the reality that the topics spread across many dimensions, e.g., social, economic, personal, and so forth. The criteria differ from dimension to dimension, but the respondent may not even be aware of these differences.

Mind Genomics was designed to deal with the decision processes of everyday, taking into account the fact that the situations of every day are multi-faceted. Although one might think that a person could adjust the criterion of judgment to be appropriate to the topic, a questionnaire which intersperses different topics becomes hard to deal with, as the criteria demand vary from question to question. A simpler way might be to present the respondent with different stories, doing so rapidly, and request a rating of each story (or combination). One could then attempt to deconstruct the response to the combination, to the vignettes, and estimate the contribution of each component in the vignette, viz., each message or idea. The respondent would not be able to be politically correct. A rapid evaluation of different vignettes would lead to the respondent simply guessing, rather than trying to be correct. Guessing, not trying to give the perfect answer is more typical of everyday behavior.

Its original format, Mind Genomics was set up to look at what drives ‘YES’ for various offers of features, both in products and in services [12,13]. The effort was modeled after the pioneering effort by Wharton professors Paul Green and Yoram Wind [14]. The Mind Genomics process comprised a simple set of features, combined by an experimental design, which prescribed the precise combinations of the features. Each respondent evaluated a unique set of combinations each set a permuted variation of the basic design [15]. It was easy to run these experiments the experiments could be done on a wide variety of topics, and the output was easy to understand, inexpensive to run fast allowing for iteration, and databasing [16,17].

Mind Genomics evolved, from large studies to small, study, easy to set up, and to execute. The focus of the studies evolved from products to social issues. Mind Genomics provided a way to get into the mind of a person, not by the usual observation or questionnaire, but by a simple, hard-to-‘game’ experiment. The respondent would evaluate a set of vignettes (here 24), comprising prescribed combinations of elements, or statements about the topic. The respondent was instructed to read the entire vignette, and the rate the combination on an anchored scale. . Although it sounds difficult to do, and although the respondents attempt to ‘do it right’ and give the ‘correct answer,’ the reality is that only a perfect with perfect memory could even suspect that there was an experimental design controlling the combinations. To most people, the combinations were described as ‘random’, and responded to as such. Most exit interviews revealed that the respondents felt that they just ‘guessed’.

Complementing the elements and the experimental design, was the rating scale. At first the rating sale was a simple 9-point sale, with the assumption that 9 points would allow for more discrimination than a shorter scale of fewer points. Events soon made it clear that the users of the results had no idea what a 6 meant on a 9-point scale. As tractable and sensitive to fine differences the 9-point scale seemed to be, it was hard to understand. Managers would often ask questions which ended up being ‘what does the data mean – please explain). It was to this end that the scale was shorted to five points, and often labelled, usually at both end anchors, ]but now often labelled at each of the five points.

The Worldview of Mind and How It Drives the Design of the Two Experiments

As noted above, traditional research about problems works with the description of a problem, followed either by a discussion about the problems and solutions (qualitative research) or a set of questions dealing with aspects of the topic (survey). The survey questions may be open ended, following the approach of qualitative research, or the questions can be answer on rating scales. The analysis would then present a summary of the discussion or open-ended answers for qualitative research, or a tabulation of answers for the survey.

Mind Genomics follows a different path, combining aspects from three different disciplines, whose aspects it amalgamated into a nascent science with the aim of understanding the mind of the ‘everyday experience,’ and databasing that information.

Psychophysics

The study states the relation between physical stimuli and perceptions. The notions of psychophysics is that one can ‘measure’ private sensory experience The typical psychophysical study has systematically varied stimuli from a simple physical continuum (e.g.., sound pressure levels of noise, even statements of different amounts of money, or statements about different crimes), and instruct the respondents to assign numbers to represent some perceived aspect such as loudness of the noise, perceived ‘happiness’ or utility corresponding to the different amounts of money, or the seriousness of the crimes. In other words, psychophysics focuses on relating the physical level of the stimulus (e.g., stated amount) to a felt intensity of a response (e.g., degree of happiness, degree of the value of money, ability to buy things, etc.) There is inherent magnitude in both the independent variable, and in the response rating itself.

Experimental Design (Statistics)

Create test stimuli in such a way as to allow the research to gain information about the stimuli by comparing ratings to each other, and by creating a mathematical equation. Mind Genomics works on the response to defined mixtures of stimuli, as we will see below. The experimental design prescribes the specific experimental designs needed for Mind Genomics to create equations at the level of the individual respondent.

Consumer Research

Use consumer research to run surveys (actually experiments which look like surveys) with the results already in the form of a scalable, cross-referenceable database, the foundation of a new science, the mind of the everyday.

Two Studies -What Drives Three Strong Responses – Absolutely Yes, Absolutely No, Don’t Know?

Just to reiterate, our focus now is on the emerging issue of inequality, as summarized by ‘the rich get richer, the poor …’ the topics are HOW can that issue of economic inequality be solved, and WHO can solve it. We will look at the data from the point of what respondent feel will work, won’t work, and can’t even approach to be appropriate in the situation

Study 1: How Solutions Drive Perceived Feasibility

Our first study concerns a series of solutions of different types, taken in part from the summarizations of Baumann & Majeed (2020). Table 1 shows the different solutions, as well as the question ‘driving’ the solution. The important thing to keep in mind is that the solutions are generic. The solutions can work with anything.

Table 1: The four types of solutions, and the four specifics in each type of solution.

table 1

We begin with the self-profiling question, and the rating question and answers. The rating question introduces the problem. It is short, to the point. The objective is to have the 16 specifics provide the information that will be rated.

a. A set of self-profiling questions, including age, gender, and the third question below

What is the most effective approach to solve the problem of Economic gap – Rich people get richer, everyone else falls behind.

1=Education Changes 2=Social Movements 3=Business Strategies 4=Government Rules

b. Orientation to the topic and the 5-point anchored rating scale

What is the most effective approach to solve the problem of Economic gap – Rich people get richer, everyone else falls behind.

RATE1=Will encounter resistance … and… Probably won’t work

RATE2=Will not encounter resistance… but … Probably won’t work

RATE3=Can’t honestly decide

RATE4=Will encounter resistance… but … Probably will work

RATE5=Will not encounter resistance … and… Probably will work

The set-up for these Mind Genomics studies is templated, enabling the researcher to follow a simple series of steps to provide the necessary information. Figure 1 shows the set-up template. Figure 2 shows two screens in the set-up template, screens that show the self-profiling classification, and an example of a vignette.

fig 1

Figure 1: The set-up template for the first Mind Genomics study on the solutions to problems.

fig 2

Figure 2: Example of the set-up screen for the third self-classification (left) and an example of the set-up page showing a test vignette (right).

This first study was run with 50 respondents. Each respondent rated the set of 24, unique vignettes created by mixing the 16 elements into combinations comprising 2-4 elements. Each question contributed at most one element to a vignette, but for four vignettes contributed no elements to the vignette. Every element appeared five times in 24 vignettes and was absent 19 times. The experimental design was set up to allow for an individual-level regression relating the presence/absence of the 16 elements to the responses. For this project, the preliminary analysis created four dependent variables:

  1. RATE1=Will encounter resistance … and… Probably won’t work. When the rating was ‘1’ on the 5-point scale RATE1 took on the value 100. When the rating was not ‘1’ on the 5-point scale, RATE1 took on the value 0. RATE1 corresponds to a belief that the solution will not help solve economic inequity, the problem posed in the introduction.
  2. RATE5=Will not encounter resistance … and… Probably will work. When the rating was 5 on the 5-point scale RATE5 took on the value 100. When the rating was not 5, RATE5 took on the value 0. RATE5 corresponds to the belief that the solution will help solve the problem of economic inequality.
  3. RATE3=Can’t honestly decide. When the rating was 3 on the 5-point scale RATE3 took on the value 100. When the rating was not 3 on the 5-point scale, RATE3 took on the value 0.
  4. RT – The measured response time from the time the vignette was presented to the time the rating was assigned

To ensure that there would be at least minimal variation in the dependent variable, viz., the newly created binary scales (RATE1, RATE3, RATE5), a vanishingly small random number (<10-5) was added to each newly created binary variable for every case. The added variability does not affect the regression but ensures that there is the requisite variability so that the regression does not crash.

The regression model was run without an additive constant, to allow direct comparisons of the coefficients across groups. The regression equation, estimated using OLS (ordinary least-squares) methods, is expressed as: Dependent Variable=k1(A1) + k2(A2) … k16(D4)

The self-profiling classification allows us to assign each respondent to gender, to age group, and to the way that problems of this type might be solved. The definition of the subgroups generates 10 different groups. We show only those elements with coefficient of 11 or higher, coefficients that would be clearly significant. The elements and the strong performing coefficients appear in Table 2. The elements are sorted by the sum of the strong performing coefficients. Thus, the strongest performing element in this reduced set of elements is D2 (Provide government funding). The weakest, but still strong performing elements are C4, C1, and A2, all with one strong group, and coefficients of 11.

Table 2: Strong performing elements by element and key self-defined subgroup for RATE5 vs the 16 elements. Only coefficients of 11 or higher are shown.

table 2

It is important to note that there is no clear pattern, either by element or by self-classification. Furthermore, half the elements simply fail to drive a perceived ability to drive a strong solution (viz., RATE5). We might have more elements appearing if we create the model based on a combination of RATE4 and RATE5, both saying that the solution will probably be successful, but RATE4 saying it will encounter resistance, and RATE5 saying it will not encounter resistance.

The importance of this first result is that there are no simple solutions. Either the solutions are weak, or the groups are so variable in what the people of the group believe to work that the power of the idea of the solution is attenuated.

An ongoing theme of Mind Genomics is that there exists in everyday experience a different group of ideas which constitutes ‘mind-sets.’ A mind-set comprises a set of ideas which ‘travel together’ and which can be interpreted. That is, the mind-set makes intuitive sense, and tells a meaningful story.

The mind-set emerges from the pattern of responses to the different elements. Once we see which elements emerge together as strong, we may find that the pattern almost ‘jumps out at us.’ When we work with a set of elements for a specific topic, usually about 2-3 mind-sets emerge. There could be more, but the ideal is to work with mind-sets that are interpretable (tell a story), and which are relatively few in number for the topic. Fewer mind-sets are better than many, even though as we extract more and more mind-sets from the same data the story gets clearer, because we focus on narrower and narrower ranges of ideas.

The mind-sets emerge from a simple mathematical analysis, and not from preconceived notions of the researcher. The mind-sets emerge sing the mathematical methods called clustering which puts into separate groups the various objects (viz. respondents) based upon some quantitative criterion. For example, one may put together individuals who show very similar patterns of coefficients. The similarity in the pattern of coefficients from one person to another suggests that these people think in similar fashion.

Our data provides the ideal set up for k-means clustering [18]. Each respondent evaluated 24 vignettes arranged according to an experimental design. We can create an individual level equation for each respondent. The equation will be written as it was before: Dependent Variable=k1(A1) + k2(A2) … k16(D4)

The clustering program works with the 51 sets of 16 coefficients, one set for each of the 51 respondents, one coefficient for each of the 16 elements. The clustering program first computes the ‘distance’ between each pair of respondents, defined as (1-Pearson R). The Pearson R is a measure of the strength of a linear relation. If two respondents show a perfect correlated set of 16 coefficients, the correlation is +1 their distance is 0 . The distance is 1-1=0.

The clustering was done using RATE5 as the dependent variable. The first step in the clustering was to run the 50 regression models, each without the additive constant, as noted above. The second step was to apply the k-means clustering, and extract three mind-sets. Two mind-sets produced a more parsimonious set, but the stories were not clear, viz., interpretability was not sufficient.

Finally, the k-means clustering program assigned each of the 51 respondents to one of the three clusters or mind-sets, based upon a measure of cohesiveness of the cluster. After each respondent was assigned to one of the three non-overlapping clusters, it was a simple matter to run four equations for each cluster, using only those respondents assigned to the cluster. The four equations were RATE1, RATE5 (Table 3), and RATE3 and Response time (Table 4).

Table 3 presents the results for Total panel and for the three mind-sets. Based upon the strong performing elements, we can call the mind-sets as following:

Table 3: Strong performing elements for total and for each mind-set, based upon the model for RATE1 (encounter, resistance and won’t work), and based upon the model for RATE5 (encounter no resistance, will work).

table 3

Mind-Set A1=Based on Rate 5: Business Takes the Lead

The business has to be open to new ideas, receptive to solving the problem as part of the business flow and be open to innovation. Avoid activism. The only solution which is problematic is listening to the voice of young people. There are those in Mind-Set3 who think it will work, and those who think it won’t work, based upon the strong performance of element A2 (Promote the voice of young students) for both RATE1 and RATE5.

Mind-Set A2– Can’t Think of Anything

Mind-Set 4 is interesting simply because nothing seems to have a chance of working. On the other hand, when it comes to this mind-set thinking about what absolutely won’t work, viz., how they perform on RATE1 (resistance/won’t work) they ae negative to the ideas which seen perfectly reasonable to others.

Mind-Set A3 – Big Picture Activists

They want major change, which can be through business practice, major philanthropic donations from business, or even through riots. They don’t believe in slow activist movements.

Table 4 presents the strong performing elements for RATE3 (cannot decide), and for response time (RT). The models were once again the standard linear models, without an additive constant. The dependent variable for RATE3 was the binary transformed value for ratings that were either 3 (transformed to 100), or not 3 (transformed to 0). The dependent variable for response time, the number of seconds did not need any added very small random number because there was clear variation among the different response times.

Table 4: Strong performing elements for total and the three mind-set segments, for RATE3 (can’t decide) and RT (response time).

table 4

In contrast to the interpretations for RATE1 (NO) or RATE5 (YES), the elements driving RATE3 do not tell a coherent story. There are three strong performing elements for Total Panel, and four strong performing elements for each mind-set. In no mind-set do we see a story.

The elements driving long response times are not related to the mind-set itself, but tend to of two types, either starting a riot or protest, or create a self-help movement Both of these seem emotionally evocative, suggesting that the response time measure is not a measurement of good/bad, but rather of the startle-value of the idea, coupled with the ability of the idea to paint a suggestive word picture.

Table 5, showing the distribution of respondents in the three emergent mind-sets reveals no simple pattern. It often comes as a surprise that when we penetrate a topic, people faced with the same topic find radically different points of view when they evaluate specifics. These different points of view emerging from a ‘micro-topic’ often fail to emerge when the topics so large as to avoid specifics. Thus the 17 people who say that problems can be solved by business strategies do not fall into Mind-Set A1 (Business Takes the Lead). Only 5 of 17 respondents are assigned to the correct mind-set. Similarly, of the nine respondents who way that the problem can be answer by social movements, only two are assigned to Mind-Set A3 (Big Picture Activities).

Table 5: Distribution of the respondents across the three mind-sets for study 1 (Solutions).

table 5

Study 2 – How People as Icons or Emblems Drive Perceived Feasibility of Solutions

The second study moved from actual solutions, albeit general ones, to individuals who represent prospective problem solvers. The underlying thinking was that although people may not ‘know’ what solution to a problem ‘feels right’, they may have a feeling of WHO can solve their problem. Some of the thinking behind Study 2 comes from the notion that there might be ‘archetypes’ which emerge, based upon those who are perceived to be able to solve the problem [19,20].

Following the same Mind Genomics approach of a topic, four questions, and four answers to the questions, we did the same type of study. We begin with the self-profiling classification, the introduction to the topic, and the five-point anchored rating scale:

a. A set of self-profiling questions, including age, gender, and the third question below

Which political description fits YOU best?

 1=Old time Republican 2=Trump Republican 3=Democrat 4=None

b. The topic but the rating scale and the answers changed to fit the issue of solution providers, rather than solutions themselves:

What will happen when these people work together to solve this problem: Economic Gap: Rich people get richer, everyone else falls behind

RATE1=Cannot cooperate … and … No real solution will emerge

RATE2=Cannot cooperate … but … Real solution will emerge

RATE3=Honestly cannot tell

RATE4=Can cooperate … but … No real solution will emerge

RATE5=Can cooperate … and … Real solution will emerge

This time, however, we replace the questions and answers with those in Table 6.

The analysis for Study 2 on People as icons or emblems was done in precisely the same fashion as was done with Study 1 on problem solutions. Thus, the two studies can be compared, at least in their general morphologies, regarding the number and magnitude of coefficients emerging as strong drivers, the nature of the mind-sets.

Table 6: The four types of emblematic problem solvers, and four specific people or groups for each type.

table 6

In contrast to the relatively sparse number of very strong performing elements for actual, albeit general solutions (Table 2), putting people in as problem solvers, and building models for RATE5 versus elements (no additive constant) shows many more strong elements (Table 7) The stronger performers are the ‘usual suspects. What is remarkable is that at the time of this study, when President Biden was doing reasonably well at the polls, and there were no looming disasters, President Biden was seen as a problem solver only by those who called themselves Democrats. Surprisingly, so did former President Trump, and only among Democrats. He scored poorly everywhere else.

Table 7: Strong performing elements by element and key self-defined subgroup. Only coefficients of 11 or higher are shown.

table 7

The clustering of respondents on the basis of the pattern of coefficients for RATE5 (RATE5=Can cooperate … and … Real solution will emerge) produced some strong surprises. First, no elements scored strongly on RATE1 (Cannot cooperate … and … No real solution will emerge) nor on RATE3 (honestly cannot tell). The failure to score strongly on these two response points suggests that people ‘know’ who they believe and trust, but their critical thinking may stop there. The data suggest an asymmetry in thinking between positives (people who are respected and probably liked), and negatives (people who are disrespected and probably disliked). Furthermore, only two clusters or mind-sets were needed. A three-cluster solution revealed two quite similar mind-sets, differing only in one of two elements.

Table 8 shows the strong performing elements for RATE5, and for response time, by total panel, and by the two mind-sets emerging from study 2. The important thing to notice is the set of high coefficients for RATE5 meaning that the respondents feel strongly about their answers, AND the short response times. There is very little ‘shock value’ of people, except Mother Theresa, who would not be typically thought of as a problem solver.

Table 8: The strong performing elements for RATE5 and for Response Time (RT) for study 2, with the elements being people and the rating scale being ability to cooperate and solve the problem. RATE1 and RATE3 generated virtually no strong performing elements.

table 8(1)

table 8(2)

The group membership is more interesting for this second experiment (Table 9). The self-proclaimed Democrats appear equally in the two mind-sets, Mind Set B1 (working through orders) and Mind-Set B2 (working by convincing.) The self-proclaimed Republicans (both regular and Trump Republicans) appear far more frequently in Mind-Set B1 (working through orders).

Table 9: Distribution of the respondents across the three mind-sets for study 1 (Icons, Emblems).

table 9

Discussion and Conclusion

The original motivation for these studies was an interest how we think about solving social problems. The approaches to problem solving generally talk about strategies, about success stories. The strategies and success stories are so individuated that they either lack flavor entirely because they are generic (viz., strategies, such as points about solving issues), or they are so specific as to leave one wondering what to do. Furthermore, a glance at the literature about problem solving for social solutions did not bring up the role of the individual thinker, but rather the role of the situation, and the role of the expert.

The objective here was to approach the topi of problem solving of social issues from two angles, first specifics and then individuals. The specifics make sense; they are types of actions that can be taken to solve a problem. Which ones would work in the case of certain social issues, of which the economic inequality described here is one of them?

In a previous paper author Kover and Moskowitz introduced the idea of Projective Iconics, doing so within the realm of Mind Genomics [9]. The idea was to move beyond the rational to the emotion in the assessments of problems and solutions. The traditional methods for dealing with problems appeared to be all rational, left brain oriented with the utility of solving the problem (soft benefits), or harder, more economically measurable benefits. The test stimuli were always problems, the solutions were generally tangible, except for some feelings, and the evaluation was rational.

A different way had to be developed, one which would encompass something deeper than rational solutions, the act. We were taken with the adage than investors often say that they bet on the jockey, not on the horse. That is, it is the person leading the solution might be just as important as the solution itself. In that way, was born the version of Mind Genomics used here, labelled Projective Iconics. Rather than having solutions, we have combinations of problem solvers would that approach work?

Study 1 using the standard solutions suggests that people can evaluate good versus poor solutions. That is, across the set of respondents there are s number of solutions which clearly are not perceived to work, viz., RATE1, and another set of solutions which may or may not work, but people cannot decide. And, of course, quite a number of solutions which ae believed to work, especially when the total panel is broken out in subgroups. There are also a great number of solutions which are deemed not to work.

Study 2 upends the pattern, by suggesting that when we move from concrete solutions to icons on whom people can project their feelings, we are able to identify people or groups who can solve the problem but find it hard to assign people to groups who cannot solve the problem.

The conclusion here is that there is a profound difference in the way we think about the solution to problems, with far more concreteness when we talk about the actual solution, and far emotion when we talk about the problem solvers themselves.

References

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Preimplantation Genetic Testing (PGT) as Tool for Human Leukocyte Antigens (HLA) Compatible Stem Cell Transplantation

DOI: 10.31038/MGJ.2021431

Abstract

Preimplantation HLA typing (PGT-HLA) provides patients with an option not only to avoid an inherited risk, but also to establish a pregnancy with an exact HLA match to benefit the affected family member. So HLA typing is now an established PGT indication, to achieve stem cell transplantation treatment of affected siblings in need for compatible transplant. It is also applied as primary indication for cases not requiring preimplantation genetic testing for monogenic disorder (PGT-M), when no HLA-compatible donor is available. The most frequent applications of PGT-HLA were for families with hemoglobinopathy and congenital immunodeficiency siblings, both resulting in total cure when compatible donor was obtained through PGT-HLA. We present here the progress in the application of PGT-HLA tool, based on our practice of 485 PGT-HLA cycles, resulting in obtaining an 117 HLA matched births, providing stem cells for transplantation treatment in 35 different congenital and acquired disorders.

Keywords

Preimplantation HLA typing (PGT-HLA), Hemoglobinopathy, Immunodeficiency, Stem cell transplantation, Recombination, Outcome of transplantation treatment with HLA compatible stem cells obtained through PGT-HLA, Probability of obtaining of HLA matched progeny in PGT-HLA

Introduction

Preimplantation HLA typing (PGT-HLA) was first introduced over twenty years ago to perform bone marrow transplantation treatment of a child with Fanconi anemia (FA) [1,2]. As a totally matched bone marrow is required for transplantation treatment success in this condition, PGT-HLA was an exclusive option, to ensure the birth of an unaffected baby, also to pre-select only those FA free embryos that are also an exact HLA match to the affected child. This was the world’s first case of PGT-HLA with the objective of establishing an unaffected pregnancy to yield a potential donor progeny who could provide bone marrow for stem cell transplantation. Since then this approach has been applied for increasing number congenital disorders that require an HLA-compatible donor for bone marrow transplantation [3-8]. Further it was also applied as a primary indication for cases not requiring mutation testing, but awaiting an HLA-compatible donor [9]. In this paper we will review the progress of application of PGT-HLA both as primary indication, as well as together with PGT-M for increasing number of different congenital disorders.

Inherited Disorders for Which PGT-HLA was Performed Concomitantly with PGT-M

Our experience of PGT- HLA is presented in Table 1, summarizing the results of 485 PGT-HLA cycles performed for 239 patients. A total of 424 HLA matched embryos were identified for transfer (1.46 HLA matched embryos per transfer on the average) in 291 of 485 (68.6%) cycles, resulting in 125 (43.0%) clinical pregnancies and birth of 117 healthy HLA matched children, representing stem cell donors for their affected siblings [8]. Among conditions requiring HLA-compatible stem cell transplantation, hemoglobinopathies were one of the most prevalent [10-13], with a total of 188 cycles, allowing detecting and transferring unaffected HLA-matched embryos in 103 (54.8%) of them. A total of 159 (1.54 on the average) embryos predicted to be either unaffected carriers or normal and HLA-identical to the affected siblings, which is not significantly different from the expectation (Table 2). This resulted in 32 unaffected HLA-identical pregnancies and the birth of 32 healthy children, from whom umbilical cord blood or bone marrow was collected, with the bone marrow transplantation resulting in a successful hematopoietic reconstitution or pending [8].

Table 1: Preimplantation HLA TESTING (PGT-HLA) WITH AND WITHOUT PGT-M.

Disease

Gene #Patient #Cycle #Transfers #Embryos transferred Pregnancy

Birth

HLA genotyping 60 119 73 108 25

22

HLA + ADADENOSINE DEAMINASE  DEFICIENCY; ADA ADA

1

1 1 1 1

1

HLA +  ADRENOLEUKODYSTROPHY; ALD ABCD1

3

7 2 2 1

2

HLA +  CARDIOMYOPATHY, FAMILIAL HYPERTROPHIC, 4; CMH4 MYBPC3

1

1 1 1 1

1

HLA + GRANULOMATOUS DISEASE, CHRONIC, AUTOSOMAL RECESSIVE; CDG1 NCF1

1

3 2 2 1

1

HLA +

DIAMOND-BLACKFAN ANEMIA 1; DBA1

DIAMOND-BLACKFAN ANEMIA 2; DBA2

DIAMOND-BLACKFAN ANEMIA 3; DBA3

DIAMOND-BLACKFAN ANEMIA 5; DBA5

DIAMOND-BLACKFAN ANEMIA 9; DBA9

RPS19,

RPS20,

RPS24,

RPL35A,

RPS10

10

17 14 20 8

8

HLA +  GLANZMANN THROMBASTHENIA; GT  MUSCULAR DYSTROPHY, DUCHENNE TYPE; DMD ITGA2B,

DMD

1

2 2 4 1

0

HLA +  MYOTONIC DYSTROPHY 1; DM1 DMPK

1

2 1 2 1

1

HLA + ECTODERMAL DYSPLASIA AND IMMUNODEFICIENCY 1; EDAID1 IKBKG

3

10 8 10 3

4

HLA +  EPIDERMOLYSIS BULLOSA DYSTROPHICA, AUTOSOMAL DOMINANT; DDEB COL7A1

1

1 1 1 1

1

HLA +  FANCONI ANEMIA, COMPLEMENTATION GROUP A; FANCA FANCA

18

56 29 42 14

13

HLA +  FANCONI ANEMIA, COMPLEMENTATION GROUP C; FANCC FANCC

3

6 6 9 2

2

HLA +  FANCONI ANEMIA, COMPLEMENTATION GROUP D2; FANCD2 FANCD2

1

3 2 3 1

1

HLA +  FANCONI ANEMIA, COMPLEMENTATION GROUP F; FANCF FANCF

1

3 2 3 0

0

HLA +  FANCONI ANEMIA, COMPLEMENTATION GROUP G; FANCG FANCG

2

2 1 2 1

2

HLA +  FANCONI ANEMIA, COMPLEMENTATION GROUP I; FANCI FANCI

1

2 2 3 0

0

HLA +  FANCONI ANEMIA, COMPLEMENTATION GROUP J; FANCJ BRIP1

2

4 4 3 1

1

HLA +  GRANULOMATOUS DISEASE, CHRONIC, X-LINKED; CDGX CYBB

11

16 12 15 7

6

HLA + HBB SICKLE CELL ANEMIA; BETA-THALASSEMIA HBB

92

188 103 159 35

32

HLA +  IMMUNODEFICIENCY WITH HYPER-IgM, TYPE 1; HIGM1 CD40LG

11

16 10 15 9

8

HLA +  KRABBE DISEASE GALC

1

1 1 2 1

2

HLA +  MYELODYSPLASTIC SYNDROME; MDS GATA2

1

2 1 1 1

1

HLA +  NEUTROPENIA, SEVERE CONGENITAL, 1, AUTOSOMAL DOMINANT; SCN1 ELANE

3

5 4 4 4

3

HLA +  SHWACHMAN-DIAMOND SYNDROME; SDS SBDS

4

9 3 3 2

2

HLA +  THROMBOTIC THROMBOCYTOPENIC PURPURA, CONGENITAL; TTP ADAMTS13

1

2 2 4 1

1

HLA  + THROMBOCYTHEMIA 1; THCYT1 SH2B3

1

2 2 2 2

1

HLA +  WISKOTT-ALDRICH SYNDROME; WAS WAS

1

1 0 0 0

0

HLA + POLYCYSTIC KIDNEY DISEASE 1; PKD1

PKD1

1 1 1 2 1

1

HLA+  PYRUVATE KINASE DEFICIENCY OF RED CELLS PKLR

1

2 1 1 0

0

HLA + HYPER-IgE RECURRENT INFECTION SYNDROME, AUTOSOMAL RECESSIVE DOCK8

1

1 0 0 0

0

TOTAL

239

485 291 424 125

43%

117

Table 2: Chances for detection of disease-free and HLA-matched embryo in preimplantation HLA typing (PGT-HLA).

HLA MATCH only – ¼ (25%)
Autosomal-recessive or X-linked free + HLA MATCH – ¾ × ¼ = 3/16 (18.75%)
Autosomal-dominant free + HLA MATCH – ½ × ¼ = 1/8 (12.5%)

Similar experience was reported from other large series, including 626 PGT-HLA cycles performed for 312 couples (122 HLA only and 504 with PGT-M), resulting in 128 thalassemia-free children [14,15]. Stem cells of 66 of these children were used for cord blood or bone marrow transplantation, which resulted in successful bone marrow reconstitution in all but two of them (transplantation treatment of the remaining 57 siblings pending).

Severe congenital immunodeficiency (SCID) is another large group of conditions, for which PGT-HLA and stem cell transplantation is required [8,16]. Without compatible bone marrow transplantation affected neonates with SCID cannot survive, with the HLA-matched stem cell transplantation improving and completely replenishing the immune system. This group involved a variety of conditions leading to SCID, including incontinentia pigmenti (IP), hyper-IgM type 1 immunodeficiency (HIGM1),  chronic X-linked granulomatous disease (CGD), hypohidrotic ectodermal dysplasia with immune deficiency (HED-ID),  Wiscott-Aldrich syndrome (WAS), ataxia-telangiectasia (AT), Type 1 X-linked agammaglobulinemia, Omenn syndrome (OMS), X-linked immunodysregulation, polyendocrinopathy and enteropathy (IPEX), autosomal recessive severe combined immunodeficiency, X-linked severe combined immunodeficiency (SCIDX1), chronic granulomatous disease, and severe congenital neutropenia 1 (SCN1) (Table 1).

The other large group for which PGT-HLA was applied was FA, for which we performed the word’s first PGT-HLA mentioned [1,2]. This is an autosomal-recessive disorder causing bone marrow failure with increased predisposition to leukemia. Bone marrow transplantation is the only treatment, restoring hematopoiesis in FA patients. However, because any modification of the conditioning is too toxic for these patients, leading to a high rate of transplant-related mortality, the HLA-identical stem cell transplantation from a sibling is the only option to avoid late complications due to severe graft-versus-host disease (GVH).

Couples at risk for producing a progeny with FA included carriers of IVS 4+4A-T mutation in the FANCC gene, FANCD2, FANCF, FANCI, FAMCCJ, and FANCA. Overall, 65 unaffected HLA-matched embryos were transferred in 46 of 76 cycles, resulting in 19 unaffected pregnancies and 18 FA-free and HLA-matched neonates, representing potential donors for their older siblings (Table 1).

Of special interest is a case of PGT-HLA involving a consanguineous couple carrying the identical FANCG deletion mutation, who had an affected child with FANCG, requiring stem cell transplantation treatment. Following embryo testing by mutation and linked STR analysis, 2 HLA-matched and disease free (normal and carrier) embryos were transferred, resulting in a twin pregnancy. As couple did not accept confirmatory invasive prenatal diagnosis, a special non-invasive test was developed which allowed confirming unaffected status and HLA matched results for both twins at 15 weeks gestation, which is the world’s first case of non-invasive prenatal diagnosis for FA and HLA match [17]. Bone marrow obtained from the twins was transplanted to the affected sibling resulting in a total cure.

Another condition of special interest was a case of PGT-HLA performed for hyperimmunoglobulin M Syndrome (HIGM), which is a rare immunodeficiency characterized by normal or elevated serum IgM levels, with absence of IgG, IgA, and IgE, that results in an increased susceptibility to infections. No radical treatment is available, so PGT-HLA is the only choice for those who lack a suitable HLA match among their relatives. A total of 16 PGT-HLA cycles were performed for 11 couples with HIGM (Table 1), with transfer of 15 unaffected HLA matched embryos in 10 cycles, yielding 9 clinical pregnancies and birth of 8 unaffected HLA matched children, the ideal HLA matched donor for the affected siblings.

PGT-HLA assisted stem cell transplantation is also extremely useful for X-linked hypohidroticectodermal displasia with immune deficiency (HED-ID), which is caused by two dozen different mutations in the IKK-gamma gene (IKBKG, or NEMO). The disease is characterized by susceptibility to microbial and streptococcal infections, dys-gamma-globulinemia, poor polysaccharide-specific antibody responses, and depressed antigen-specific lymphocyte proliferation. To prevent mortality during the first year, bone marrow transplantation is required resulting in a radical treatment, as demonstrated in our experience of 10 PGT-HLA cycles performed for HED-ID patients.

Thus, PGT-HLA provides couples at risk with the option to avoid the affected pregnancy and have a progeny free of the condition and also with an access to the HLA-identical stem cell transplantation through selection and transfer of those unaffected embryos which are also HLA-matched to the sibling. Because the finding of the HLA-identical stem cell donor is the key for achieving the success in stem cell transplantation, a complete cure was achieved in stem cell transplantation in affected siblings.

Preimplantation HLA Typing Without PGT-M

Preimplantation HLAtyping without testing for a causative gene was first performed for a sporadic Diamond–Blackfan anemia (DBA), requiring bone marrow transplantation treatment [9]. The sole indication in this case was HLA typing, so only a haplotype analysis of the paternal and maternal partners, and affected child was performed in the family prior to PGT-HLA, using a set of polymorphic STR markers located throughout the HLA region. This allowed detecting and avoiding misdiagnosis due to preferential amplification and ADO, potential recombination within the HLA region (see below), and a possible aneuploidy or uniparental disomy of chromosome 6, which may affect the diagnostic accuracy of HLA typing of the embryo. Our experience includes a total of 119 clinical cycles for 60 couples, with pre-selection of 108 HLA-matched embryos for transfer (Table 1). The proportion of embryos predicted to be HLA-matched to the affected siblings was 21.5%, not significantly different from the expected 25% (Table 2). The transfer of 108 HLA-matched embryos transferred in 73 clinical cycles resulted in 25 singleton clinical pregnancies and 22 HLA-matched children born. These results suggest that testing of an available number of embryos per cycle allows preselecting a sufficient number of the HLA-matched embryos for transfer to achieve a clinical pregnancy and birth of an HLA-matched progeny.

Presented data demonstrate the utility and reliability of PGT-HLA for families having affected children with bone marrow disorders who may wish to have another child. As seen from our data, HLA-matched embryos were preselected and transferred in almost in all cases performed, resulting in clinical pregnancies and the birth of HLA-matched children in almost every second transferred cycle.

Limitations of PGT-HLA and Prospect for Wider Application

One of important limitations of PGT-HLA is a relatively high frequency of recombination in the HLA region, with a few possible hot spots. Naturally, this may affect the accuracy of PGT-HLA, and the outcome of the whole procedure. In our experience, recombination events were observed both of maternal (3%) and paternal (1.5%) origin [8]. Prevalence of recombination was as even higher (6.1%) when the recombination analysis included siblings requiring HLA-compatible bone marrow transplantation. Recombination detected in a sibling for whom transplantation treatment is required may make PGT-HLA of no use, as the chance of finding of the total HLA match for these siblings is totally unrealistic. Thus, haplotype analysis prior to initiation of the actual cycle is required, so the couples may be informed about their possible options, taking into consideration that only a relatively close match may be detected, warranting discussions with the pediatric hematologist on acceptable HLA profiles.

The other important limitation is a relatively advanced reproductive age of the majority of PGT-HLA patients, which is one of possible explanation that many patients still undergo two or more attempts before achieving an HLA-identical offspring. As concomitant PGT for aneuploidy (PGT-A) appeared useful for improving the reproductive outcome in PGT-HLA [8,18], PGT-A is currently offered as an integral part of PGT-HLA for the patients of advanced reproductive age. Our experience shows that reproductive outcome of PGT-HLA combined with PGT-A is significantly higher than those PGT-HLA cycles without PGT-A [18,19].

The usefulness of PGT-A is also obvious for the diagnostic accuracy, as an error in detecting the number of chromosomes 6, in which HLA genes are mapped, may lead to misdiagnosis of HLA profile. Thus, in addition to avoiding chromosomally abnormal embryos from transfer, testing for the copy number of chromosome 6 may become an important requirement for achieving the accuracy of PGT-HLA. Nonetheless, PGT-A will have less utility when only a few embryos are available for testing. To overcome this limitation, two or more cycles are initiated to collect a sufficient number of embryos for analysis. But meaningful batching may not always be possible because some older patients are unable to produce additional oocytes. The possible approach in such cases is to offer these couple the option of HLA testing for the women’s younger sister, so that the sister’s HLA matched donor oocytes could potentially be used for PGT-HLA cycle. The usefulness of this option was demonstrated in one of our PGT-HLA cases [8], which is the world’s first example in using donor eggs from relatives, resulting in obtaining unaffected HLA matched progeny for HLA matched stem cells transplantation, using the PGT-HLA cycle involving a sibling as an HLA matched egg donor.

Despite the above limitations, our overall experience of pre-selection and transfer of the HLA-matched unaffected embryos was possible in 13.7% of the embryos tested, which is a bit lower than may have been predicted (Table 2). Even with such a relatively moderate success rate, PGT-HLA appeared to be attractive for couples with children requiring HLA-matched bone marrow transplantation, with the number of PGT-HLA requests increasing overall, as the key factor in achieving an acceptable engraftment and survival in stem cell therapy requires is availability of an HLA-identical stem cell transplant [20,21]. In fact, due to a small number of children per family, less than one-third of patients has a chance to find an HLA-identical familial donor. The majority for whom no HLA-matched family member exists, the search is extended to haplotype-matched unrelated donors, despite resulting in severe complications.

In conclusion, presented experience demonstrates an increasing attractiveness of PGT-HLA for couples with affected children requiring HLA-compatible stem cell transplantation. Thus, couples at risk of having children with congenital bone marrow disorders could clearly benefit from presently available option of PGT-HLA, allowing not only avoiding the birth of an affected child but also selecting a suitable stem cell donor for their affected siblings.

References

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  4. Van de Velde H, Georgiou I, De Rycke M, Schots R, Sermon K, et al. (2004) Novel universal approach for preimplantation genetic diagnosis of β-thalassemia in combination with HLA matching of embryos. Hum Reprod 19: 700-708. [crossref]
  5. Kahraman S, Karlilaya G, Sertyel S, Karadayi H, Findicli N, et al. (2004) Clinical aspects of preimplantation genetic diagnosis of single gene disorders combined with HLA typing. Reprod Biomed Online 9: 529-532. [crossref]
  6. Goussetis E, Konialis CP, Peristeri I, Kitra V, Dimopoulou M, et al. (2010) Successful hematopoietic stem cell transplantation in 2 children with X-linked chronic granulomatous disease from their unaffected HLA-identical siblings selected using preimplantation genetic diagnosis combined with HLA typing. Biol Blood Marrow Transplant 16: 344-349. [crossref]
  7. Georgia Kakourou (2018) PGD for HLA (ESHRE study). Reprod Biomed Online, 2018; 36: 4-5.
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  10. Kuliev A, Rechitsky S, Verlinsky O, Tur-Kaspa I, Kalakoutis G, et al. (2005) Preimplantation diagnosis and HLA typing for hemoglobin disorders. Reprod Biomed Online 11: 362-370.
  11. Kuliev A, Packalchuk T, Verlinsky O, Rechitsky S (2011) Preimplantation diagnosis: efficient tool for human leukocyte antigen matched bone marrow transplantation for thalassemia. Thalassemia Rep 1: 1.
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  13. Kuliev A, Rechitsky S (2016) Preimplnatation HLA typing for stem cell transplantation treatment of genetic and acquired bone marrow failures. Hemat Med Oncol 1: 46-49.
  14. Kahraman S (2013) PGD for HLA: Clinical Outcomes of HLA compatible transplantation following PGD. Reprod Biomed Online 26: 9-10.
  15. Umay KB, Gavaz M, Kumtepe ÇY, Yelke H, Pirkevi Çetinkaya C, et al. (2019) Successful hemapoietic stem cell transplantation in 62 children from healthy siblings conceived from preimplantation HLA Matching: a clinical experience of 327 cycles. Reprod Biomed Online 39: 13-14.
  16. Rechitsky S, Pakhalchuk T, Prokhorovich M, San Ramos G, Verlinsky O, et al. (2018) Preimplantation genetic testing for inherited immunodeficiency. Hematol Transfus Int J 6: 218-220.
  17. Rechitsky S, Kuliev A, Leigh D et al. (2020) Single molecule sequencing: a new approach for preimplantation testing and noninvasive prenatal diagnosis confirmation of fetalgenotype. The Journal of Molecular Diagnostics 22: 220-227.
  18. Rechitsky S, Kuliev A, Sharapova T, Laziuk K, Ozen S, et al. (2006) Preimplantation HLA typing with Aneuploidy Testing. Reprod BioMed Online 12: 89-100.
  19. Rechitsky S, Pakhalchuk T, Goodman A, San-Ramos J, Zlatopolsky Z, et al. (2015) First systematic experience of combined PGD for single gene disorders and/or preimplantation HLA typing with 24-chromosome aneuploidy testing. Fertility & Sterility 103: 503-512. [crossref]
  20. Lucarelli G, Andreani M, Angelucci E (2002) The cure of thalassemia by bone marrow transplantation. Blood 16: 81-85.
  21. Gaziev J, Lucarelli G (2005) Stem cell transplantation for thalassaemia. Reprod Biom Online 10: 111-115.
fig 5

Lactulose, but not Macrogol or Bisacodyl, Shows a Prebiotic Effect in a Computer-Controlled In Vitro Model of the Human Large Intestine

DOI: 10.31038/MIP.2021231

Abstract

Background: Patients with chronic constipation often suffer from dysbiosis and may benefit from prebiotic effects of laxatives.

Methods: Here we evaluate potential beneficial effects on the gut microbiome of the most commonly used laxatives Macrogol, Bisacodyl, and Lactulose in their usual daily dose for adults using the TIM-2 system, a computer-controlled model of the proximal large intestine with metabolically active, anaerobic microbiota of human origin.

Results: Only Lactulose increased the short-chain fatty acid levels and decreased the branched-chain fatty acid levels, pH, and ammonia. Five days of incubation with Lactulose increased the bacterial counts of Bifidobacterium and Lactobacillus which was not observed with Macrogol or Bisacodyl.

Conclusion: These data show that Lactulose, in contrast to Macrogol and Bisacodyl, exerts a prebiotic effect when compared in the same in vitro system.

Keywords

Lactulose, Microbial fermentation, Bifidobacteria, Lactobacilli, Laxative

Introduction

Dysbiosis in patients with constipation is not yet fully understood, but consists of increased counts of mucosal Bacteroides species and decreased fecal bifidobacteria and lactobacilli [1,2]. The reduced abundance of beneficial bacteria in constipated patients may be ameliorated by prebiotic laxatives. According to guidelines, Macrogol, Bisacodyl or its derivative sodium picosulfate are agents for first-line therapy of constipation [3], while Lactulose is frequently recommended for chronic constipation by pharmacies [4]. During pregnancy, Macrogol and Lactulose are recommended as first-line therapy [5] which is in line with general practice [6], whereas during lactation, Macrogol, Lactulose, Bisacodyl or sodium picosulfate may be used [5].

To date, Lactulose is clearly considered a prebiotic laxative [7-10]. However, only limited data are available regarding the prebiotic effects of Bisacodyl and Macrogol. Macrogol consists of polyethylene glycol (PEG). In general, PEG is known to affect the intestinal microbiota. Phylotype richness was reduced in PEG-induced diarrhea in human, while phylotype diversity and evenness were unaffected [11]. In rats [12], PEG treatment increased the number of Verrucomicrobia and decreased that of Firmicutes. In mice, Macrogol 3350/PEG decreased the microbial density [13] and relative abundance [14], while Lactulose increased it [13]. Bisacodyl increased the gut microbiota metabolites namely SCFA in rats [15]. Furthermore, a slight increase in bifidobacteria was observed after three months of constipation treatment in humans [1].

Data on direct comparison of the prebiotic effects of the three laxatives Lactulose, Macrogol and Bisacodyl are sparse. In patients with constipation, the efficacy of Lactulose was similar to that of PEG in relieving constipation in a 4 week treatment [16]. The levels of bifidobacteria, but not lactobacilli, were significantly increased in the patients receiving Lactulose, but not in the patients receiving PEG [16]. In contrary, the total amount of bacteria was rather decreased and the colonic fermentation inhibited by treatment with PEG [16]. To our knowledge, no further studies directly comparing at least two of the three laxatives are available, hindering the comparison of Lactulose, Bisacodyl and Macrogol regarding their prebiotic effect.

In our study, we investigated the prebiotic effect of Lactulose, Macrogol, and Bisacodyl in the TIM-2 model, an in vitro model of the proximal colon. The results of this study demonstrate that Lactulose contrary to Macrogol or Bisacodyl, increased the short-chain fatty acid production as well as the bifidobacterial and lactobacilli count, thereby showing a prebiotic effect.

Materials and Methods

Informed Consent

This is an in vitro study. It does not require IRB approval or informed consent.

Test Product

In this study Laevolac® (Fresenius Kabi Austria GmbH, Linz, Austria), an oral solution containing 670 mg/mL Lactulose, Macrogol 3350 (Norgine B.V., Amsterdam, The Netherlands) and Bisacodyl (Boehringer Ingelheim, Ingelheim, Germany) were used. Experiments without test products served as negative control.

Intestinal Conditions of the TIM-2 System

The TNO intestinal model TIM-2 is a dynamic in vitro model of the proximal colon [17,18]. In this system, essential parameters were maintained at standardized conditions: body temperature; pH in the lumen of the proximal colon (pH 5.8); delivery of a pre-digested substrate from the ‘ileum’ (SIEM); mixing and transport of the intestinal contents; dialysis-driven absorption of water and metabolic products. In addition, the system was strictly maintained anaerobic by flushing with nitrogen. Fermentation products, metabolites and other low molecular weight compounds were steadily removed from the lumen via dialysis using a semipermeable membrane system within the colon compartment.

SIEM (standardized ileum efflux medium) simulates the material passing the ileocecal valve in humans reaching the colon. SIEM was prepared as described previously [18-20] and contains the major non-digestible carbohydrates (pectin, xylan, arabinogalactan, amylopectin, starch) found in a normal western diet as well as protein (bactopepton, casein), some ox-bile, Tween 80, vitamins, and minerals. SIEM was added to the system at a speed of 2.5 ml/h. The speed of dialysis was 1.5 ml/min.

During the experiment, the intestinal contents were mixed continuously by the peristaltic movements of the TIM-2 system. The pH was maintained at pH 5.8 or above by automatic titration (minute by minute) with 2 M NaOH. The amount of administered NaOH was monitored, allowing to draw conclusions about the acid production induced by the different test compounds.

Before each experiment the secretion fluids and dialysis solutions were freshly prepared, the pH electrodes calibrated, and new membrane units were installed. The system was inoculated with a standardized microbiota of human origin, one day before the start of the test period. This standardized microbiota was prepared using fecal donations from a group of 4 healthy volunteers (1 male, 3 females (non-pregnant, non-lactating), age 38.8 ± 3.9 years; BMI 24.2 ± 1.5 kg/m2) as described [21]. After overnight adaptation the 120 h test period started.

Addition of the Test Product

The test products were added to the system at their indicated daily doses for adults, i.e. 10 g/day Lactulose, 13.125 g/day Macrogol 3350, or 5 mg/day Bisacodyl. Test products Lactulose and Macrogol were mixed ‘as is’ through the SIEM (described in more detail below) and added (semi-)continuously during the entire test period. Before its administration to TIM-2, Bisacodyl was incubated for 3 h in TIM-2 dialysate at pH 7.2 and subsequently overnight at pH 5.8. This measure allowed to soften the outer enteric coating of the formulation and to release Bisacodyl appropriately in TIM-2. Both the dialysate and the formulation were added as a daily bolus. The control runs were performed in quadruplicate, while the test products were studied in triplicates (Lactulose) or duplicates (Macrogol, Bisacodyl).

Sampling from TIM-2

Metabolites including the short-chain fatty acids (SCFA), branched-chain fatty acids (BCFA), ammonia and lactate produced in TIM-2 were continuously separated from the lumen using a semipermeable membrane unit. Dialysates were collected at the start of the test period and after 24, 48, 72, 96, and 120 h, respectively. Volumes were measured and samples were taken from the dialysates.

Luminal samples taken at the beginning and end of the experiment (t=0 h and t=120 h) allowed to investigate the composition of the microbiota. The samples were snap frozen in liquid nitrogen and stored at ≤−72 °C until analysis.

Sodium Hydroxide Usage (pH)

The pH was kept at pH 5.8 by automatic titration with 2 M NaOH.

Short-Chain Fatty Acids and Branched-Chain Fatty Acids

The dialysate and lumen fractions of TIM-2 were used to analyze SCFA (acetate, propionate and butyrate) and BCFA (iso-butyric acid and iso-valeric acid) with gas chromatography.

For SCFA/BCFA evaluation, samples were prepared and analyzed as described previously [22].

Lactate and Ammonia

Samples for lactate and ammonia analysis were centrifuged as described above. In the clear supernatant, both l- and d-lactate were determined enzymatically (based on Boehringer, UV-method, Cat. No. 1112821035, Roche Diagnostics, West Sussex, UK). Ammonia was determined based on the Berthelot reaction [23] in which ammonia reacts first ammonia with alkaline phenol and then with sodium hypochlorite to form indophenol blue. In the currently used method, due to its toxicity, phenol was replaced with salicylic acid.

16S rDNA Amplicon Sequencing

The bacterial population in the TIM-2 samples was analyzed using Next Generation sequencing. Total DNA from the collected TIM-2 lumen samples at the start (t=0 h) and at the end (t=120 h) of the experiments was isolated as described [24] with some minor adjustments: The samples were initially mixed with 250 μL lysis buffer (Agowa, Berlin, Germany), 250 μL zirconium beads (0.1 mm), and 200 μL phenol, before being introduced to a Bead Beater (BioSpec Products, Bartlesville, OK, USA) for twice 2 min. To determine the recovery of bacterial DNA from the samples, a quantitative polymerase chain reaction (qPCR) was used applying universal primers 16Suni-I-F, 5’-CGAAAGCGTGGGGAGCAAA-3’and 16Suni-I-R, 5’-GTTCGTACTCCCCAGGCGG-3’, and probe 16Suni-I probe, FAM-5’-ATTAGATACCCTGGTAGTCCA-3’-MGB specific for the bacterial 16S rRNA gene. Changes in the microbiota composition were analyzed by using mass V4 16S rDNA amplicon sequencing. For 16S rDNA amplicon sequencing of the V4 hypervariable region, 100 pg of DNA was amplified as described [25] using 30 amplification cycles, applying F533/R806 primers [26]. Primers included Illumina adapters and a unique 8-nt sample index sequence key [25]. Amplicon yield, integrity and size was analyzed on a Fragment Analyzer (Advanced Analytical Technologies, Inc., Heidelberg, Germany). The amplicon libraries were pooled in equimolar amounts and purified using agarose gel electrophoresis and subsequent the QIAquick Gel Extraction Kit (QIAGEN, Hilden, Germany). Paired-end sequencing of amplicons was conducted on the Illumina MiSeq platform (Illumina, Eindhoven, The Netherlands).

Processing of the sequencing data was performed using the Mothur pipeline. The differences between the two bacterial community profiles were identified by applying the LEfSe (Linear Discriminant Analysis Effect Size) analysis [27]. The method is based on categorical non-parametric hypothesis test and Linear Discriminant Analysis (LDA) which is a mathematical technique to characterize the difference between classes. This is a method for metagenomic biomarker discovery and therefore allows to find organisms that can help to identify significant differences between two microbial communities. For this a cut-off level of relative abundance of individual genera was included with 0.01% of total sequences. In the analysis, the different test items were each (as replicate) compared to the control experiments. This shows which genus became significantly more or less abundant as a consequence of a test product compared to the control.

Statistical Analysis

Mean values of the experiments were compared to mean values of the control experiments.

Results

Sodium Hydroxide Usage

During fermentation of carbohydrates the microbiota produces acidic metabolites like SCFA and lactate. The increased use of NaOH during the experiments for maintenance of pH at 5.8 indicates the activity of microbiota fermenting the SIEM plus the test product added to the TIM-2 system. Adding Lactulose in the test period (t=0 h to t=120 h) showed an increased use of NaOH during the TIM-2 experiments as compared to the control (Figure 1). Macrogol and Bisacodyl showed a similar total NaOH usage as in the control experiments at 116 ± 6 ml (control), 104 ± 7 ml (Macrogol) and 124 ± 3 ml (Bisacodyl) compared to 436 ± 2 ml (Lactulose).

fig 1

Figure 1: Sodium hydroxide consumption during TIM-2 runs (mean of n=3 (Lactulose), n=2 (Macrogol and Bisacodyl) or n=4 (control)). Values at the start of the test period are on average 20.76 mL due to NaOH consumption during the adaptation period. All data points shown at the proximity of the individual time points indicated at the X-axis belong to these specific time points.

Short-chain Fatty Acids and Branched-chain Fatty Acids

Figure 2a shows the cumulative total SCFA (acetate, propionate and butyrate) production during the 120 h test period in TIM-2. The results indicate that the amount of total SCFA increased with Lactulose (560 ± 20 mmol), while obtained values for control, Macrogol and Bisacodyl were comparable, with total SCFA amounts of 332 ± 34 mmol (control), 323 ± 22 mmol (Macrogol), 351 ± 17 mmol (Bisacodyl), respectively.

The total production of branched-chain fatty acids in 120 h (BCFA; iso-butyrate and iso-valerate) is shown in Figure 2b. During fermentation of proteins in the colon BCFA are produced next to H2, CO2, CH4, phenols and amines. The total amount of BCFA produced during the TIM-2 experiment was similar for Macrogol (6.7 ± 2.7 mmol) and Bisacodyl (9.0 ± 3.1 mmol) as compared to the control (8.4 ± 4.2 mmol), but was lower after addition of Lactulose (1.2 ± 0.2 mmol).

fig 2

Figure 2: Production of (A) total short chain fatty acids (SCFA, acetate, propionate, butyrate); (B) total branched-chain fatty acids (BCFA) (iso-butyrate and iso-valerate) in TIM-2 runs (mean of n=3 (Lactulose), n=2 (Macrogol and Bisacodyl) or n=4 (control)). Values at the start of the test period were set to zero. All data points shown at the proximity of the individual time points indicated at the X-axis belong to these specific time points.

Lactate

Lactate is an intermediate metabolite accumulating during fast fermentation processes. At the same time, bacteria use lactate as a substrate. The cumulative amount of lactate (Figure 3) produced in the experiment with Macrogol (1.2 ± 0.8 mmol) and Bisacodyl (4.3 ± 2.8 mmol) was low and similar to the control (5.8 ± 2.2 mmol). The results show that due to its fermentation much higher amounts of lactate (300.7 ± 10.4 mmol) are formed in the presence of Lactulose compared to the control as well as Macrogol and Bisacodyl.

fig 3

Figure 3: Cumulative lactate production over time during the 120 h test period in TIM-2 runs (mean of n=3 (Lactulose), n=2 (Macrogol and Bisacodyl) or n=4 (control)). All data points shown at the proximity of the individual time points at the X-axis belong to these specific time points.

Ammonia

Ammonia is a metabolite produced by microbial fermentation of proteins (nitrogen). The cumulative (total) amount of ammonia, measured as ammonium salt in the TIM-2 model, is shown in Figure 4. The basal amounts of ammonia (total cumulative production) during the control experiments gives an indication of the ammonia production without intervention. Ammonia production for the different test products was lowest for Lactulose (22.2 ± 2.5 mmol) compared to 87.0 ± 27.9 mmol (control), 65.6 ± 11.2 mmol (Macrogol), and 108.9 ± 16.8 mmol (Bisacodyl), respectively.

fig 4

Figure 4: Cumulative ammonia production over time during the 120 h test period in TIM-2 runs (mean of n=3 (Lactulose), n=2 (Macrogol and Bisacodyl) or n=4 (control)). All data points shown at the proximity of the individual time points indicated at the X-axis belong to these specific time points.

Microbiota Composition

Analysis with mass V4 16S rDNA amplicon sequencing resulted in an overview of bacterial genera present in the microbiota of the lumen samples collected from the TIM-2 experiments after 120 h exposure to the different test conditions. The distribution of the number of reads ranged from 24,750 to 204,719. The lowest count of reads observed was 24,750 reads in a t=0 sample supplemented with Lactulose. The lowest number of reads was used for normalization of all samples to this read level. Figure 5 shows the effect of Lactulose, Macrogol and Bisacodyl on the relative abundance of bacteria up to a cut-off range of 1.0% relative abundance compared to control. The heatmap depicts the most abundant bacteria. The most significantly increased bacterial genera, Bifidobacterium and Lactobacillus increased more than 10-fold or 50-fold, respectively, in the presence of Lactulose. At the same time, Prevotella, Blautia, Ruminococcus, Faecalibacterium and Bacteroides were decreased more than 10-fold in the presence of Lactulose compared to the control. For the Macrogol and Bisacodyl no significant changes were observed compared to the control.

fig 5

Figure 5: The heatmap indicates the normalized average relative number n of the different bacterial genera in the microbiota in the different treatments with Lactulose, Macrogol, and Bisacodyl when compared to control, after 120 h of exposure in TIM-2 as represented by the 16S rRNA amplicon sequencing reads.

Discussion

This study showed that Lactulose, in contrast to Macrogol or Bisacodyl, has an effect on the active gut microbiota present in an in vitro model of the proximal colon. This effect includes an increase in NaOH consumption to keep the pH at a fixed level, suggesting a pH decrease by the net production of acidic metabolic products. This was confirmed by the observed increased levels of SCFA and lactate, and decreased levels in BCFA and ammonia. Contrary to this observation, Bisacodyl even lead to higher cumulative BCFA and ammonia levels than the control.

Five days of exposure to Lactulose strongly increased the levels of bifidobacteria (more than 10-fold) and lactobacilli (more than 50-fold). A slight increase in Bifidobacterium was also observed with Macrogol treatment, while Bisacodyl exposure slightly decreased the amount of this bacterium. After Macrogol treatment, the levels of Lactobacillus were decreased, while Bisacodyl exposure had no substantial effect. In summary, exposure to Lactulose was superior to Macrogol and Bisacodyl by increasing the relative abundance of Bifidobacterium and Lactobacillus.

Apart from Bifidobacteria and Lactobacilli, bacterial counts of several other bacteria present in more than 1% relative abundance with a more than 10-fold changed were observed after Lactulose treatment. Prevotella spp. are reduced close to zero after 120 h Lactulose treatment, while Macrogol and Bisacodyl treatment slightly increased the counts. Prevotella is suspected to exacerbate chronic (intestinal) inflammation [28,29] and to increase the risk of autoimmune disorders like rheumatoid arthritis [30-34]. Intestinal Prevotellaceae were associated with rheumatoid arthritis in Northern America, Europe and Japan, but not in a Chinese study [35]. Larger metagenome-wide association studies are required before a final conclusion on the role of Prevotella spp in the pathogenesis of rheumatoid arthritis and the potential for amelioration by Lactulose can be drawn.

Blautia were also reduced nearly 200-fold by Lactulose, while with both, Macrogol and Bisacodyl, only slight reductions could be identified. An increase in Blautia counts is considered pro-inflammatory [36] and increased counts are detected in neurodegenerative diseases like Parkinson or Multiple Sclerosis [36,37] or systemic lupus erythematosus [38]. The role of increased Blautia counts in the pathogenesis of diabetes is also discussed, but a causative association has not yet been determined [39-41].

Lactulose treatment for 120 h also showed a decrease in Faecalibacterium, while these bacteria were increased with Macrogol and slightly decreased with Bisacodyl. Within the genus of faecalibacteria, especially Faecalibacterium prausnitzii has been reported as one of the main butyrate producers in the gut [42,43]. Due to its anti-inflammatory properties it reduced the severity of inflammation in several murine models [44,45]. The genus Faecalibacterium was also increased in the intestinal content of obese children [46] and patients with psoriasis [47]. The impact of laxatives on levels of this genus remain to be studied in the future.

Ruminococcus was also strongly decreased by Lactulose treatment, slightly decreased by Macrogol and slightly increased by Bisacodyl. While increased levels of these mucolytic bacteria in inflammatory bowel disease (IBD) seem to be associated with the high load of mucins to be cleaved [48,49], nothing is known about the effect of an increased abundance in disorders like autism [50], allergic diseases [48] or coronary artery disease [51].

Finally, Lactulose treatment reduced the levels of Bacteroides, as to a lower extent also did Macrogol and Bisacodyl. This is in contrast to a previous study, where levels of Bacteroides were increased in healthy adults after PEG 4000 induced osmotic diarrhea [11]. The reasons for this difference may be in the test item (PEG 4000 versus PEG 3350), the setup of the study, the dose and the duration of treatment and cannot be fully elucidated here. Bacteroides are normal commensals in the gut, but may also be responsible for infections of significant morbidity, mainly caused by Bacteroides fragilis, like appendicitis, intra-abdominal sepsis, endocarditis, and others [52].

A limitation of this study is the fact that treatment duration was 120 h, while in the clinical situation longer treatment duration may be applicable. A more extended experiment in TIM-2 is possible. Based on previous experience, however, treatment longer than 72-120 h may not reveal significantly different results. Although experiments were conducted only as n=2, results allowed an adequate discrimination between the observed prebiotic effect of Lactulose versus Macrogol and Bisacodyl and more replicates would not have changed this finding.

This study clearly demonstrated that Lactulose has a strong prebiotic effect on Bifidobacteria and Lactobacilli indicating a beneficial support for the gut microbiota of constipated patients in contrast to Macrogol and Bisacodyl. In addition, a more pronounced impact on other gut bacteria was observed with Lactulose compared to Macrogol and Bisacodyl. There are, however, new generations of laxatives also exerting beneficial effects on the gut microbiota or prebiotics with a laxative effect that remain to be compared to Lactulose [53-58]. For example combination products, such as Bisacodyl combined with probiotics [59], or Macrogol mixed with inulin, may result in fierce competition to Lactulose [60]. However, this will remain to be elucidated in future studies, while this study focused on the comparison of the most frequently used single substance laxatives.

Acknowledgments

We thank Mark Jelier and Eveline Lommen for their excellent technical assistance.

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