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Detection of Autoimmune Markers in Korean Adults with Diabetes: Role of Anti-GAD and HLA Typing

DOI: 10.31038/EDMJ.2025931

Abstract

Although adult-onset diabetes in Asians often begins as non-insulin-dependent diabetes mellitus (NIDDM), some patients may gradually lose their ability to produce insulin(anti-GAD), transitioning to insulin-dependent diabetes mellitus (IDDM). Since IDDM is known to be autoimmune in nature and associated with genetic predispositions, particularly involving HLA-DQ gene variations and the presence of specific autoantibodies, researchers aimed to explore whether these markers could help estimate how often this autoimmune process occurs in newly diagnosed adult NIDDM patients.

Methods: The prevalences of anti-GAD antibodies and HLA-DQA1 and DQB1 alleles among 121 patients with newly diagnosed NIDDM identified from a population-based study in Yonchon, Korea, and 100 matched healthy control subjects were evaluated and compared.

Results: The overall prevalence of anti-GAD antibodies was 1.7% (2 of 121) in patients with previously undiagnosed NIDDM, whereas 1 of 100 control subjects had a positive test for antibodies. Among those who tested positive, titers of antibodies to GAD were not high.

Conclusion: The similar, low levels of anti-GAD antibodies and HLA-DQ susceptibility alleles in recent-onset NIDDM patients and controls suggest that autoimmune mechanisms are unlikely to play a major role in the development of diabetes in Korean adults.

Keywords

Non-insulin-dependent diabetes mellitus (NIDDM), Insulin-dependent diabetes mellitus (IDDM), Anti-GAD antibodies, HLA-DQ alleles, Autoimmunity, Korean adults

Introduction

In some Asian populations, it has been observed that patients initially diagnosed with NIDDM may eventually lose beta-cell function and develop insulin dependence, leading to the hypothesis that latent autoimmune diabetes in adults (LADA) may be involved. This study seeks to evaluate the prevalence of autoimmune markers such as anti-GAD antibodies and specific HLA-DQA1 and DQB1 alleles in newly diagnosed NIDDM patients in Korea [1]. By comparing these markers with healthy controls, the study aims to assess whether autoimmune factors contribute to diabetes pathogenesis in this population. Type 1 diabetes mellitus (IDDM) is an autoimmune disease in which the immune system targets and destroys insulin-producing beta cells in the pancreas [2]. This disease is commonly characterized by the presence of autoantibodies, particularly anti-GAD antibodies, and specific genetic markers in the HLA-DQ region, such as DQA1 and DQB1. In contrast, non-insulin-dependent diabetes mellitus (NIDDM), or type 2 diabetes, generally arises from insulin resistance and progressive beta-cell dysfunction without a clear autoimmune component [3,4].

Causes of Insulin Resistance Pathogenesis

The pathogenesis of insulin resistance syndrome involves a combination of genetic, environmental, and lifestyle factors Type 1 diabetes mellitus (IDDM). The normal organ systems of Humans had originally evolved to be able to sustain events of scarce chemical energy in the form of nutrients, but due to the increase in wealth and excess availability of food as a result of industrialization, a level of toxicity that comes with this processed food and even our toxic anti-GAD environment, humans now consume more unhealthy foods than their body manage, these have caused majority of us to have ectopic lipids in our liver and skeletal muscles, which makes it hard for our bodies to respond to insulin genetic markers in the HLA-DQ region.

Objective

The objective of this study was to evaluate and compare the prevalence of autoimmune markers, specifically anti-GAD antibodies [5] and HLA-DQA1 and DQB1 gene polymorphisms, in patients with newly diagnosed NIDDM and healthy nondiabetic individuals from Korea. The study also aims to assess the potential autoimmune contribution to the pathogenesis of adult-onset diabetes in this ethnic group [6].

Research Design and Methods

Study Population

The study included 121 newly diagnosed NIDDM patients identified through a population-based study in Yonchon, Korea. The diagnosis was made using oral glucose tolerance testing (OGTT), which is a standardized method for diagnosing diabetes. Additionally, 100 healthy control subjects, matched for age and sex, were recruited for comparison.

Immunogenetic Analysis

The presence of anti-GAD antibodies was assessed using standard immunoassays. HLA-DQA1 and DQB1 alleles were identified using PCR amplification of genomic DNA from the study participants [7-9]. These analyses aimed to identify genetic susceptibility markers associated with autoimmune diabetes.

Statistical Analysis

Data were analyzed using appropriate statistical methods. Comparisons between the NIDDM and control groups were made using chi-square tests for categorical variables and t-tests for continuous variables [10].

Results

Prevalence of Anti-GAD Antibodies

The prevalence of anti-GAD antibodies was found to be 1.7% (2 of 121) in patients with newly diagnosed NIDDM. Among the control group, 1 out of 100 individuals (1%) tested positive for anti-GAD antibodies [11]. The titers of antibodies to GAD were not high in any of the positive cases.

Complications

Many diseases are associated with insulin resistance syndrome. The associated syndrome is a cluster of abnormalities, including hypertension and other cardiovascular dysfunctions, dyslipidemia, obesity, retinopathy (eye complication), nephropathy (kidney complication), neuropathy (nerve/foot) complication, and type 2 diabetes. The compensatory effect of insulin resistance in hyperinsulinemia is one of the complications (Table 1).

Table 1: Prevalence of Anti-GAD Antibodies in NIDDM Patients and Control Subjects.

Group

Total Cases

Anti-GAD Positive (%)

Number of Positive Cases

Titer Level (Mean)

Titer Level (Range)

NIDDM Patients

121

1.7%

2

Low

Healthy Controls

100

1.0%

1

Low

HLA-DQA1 and DQB1 Allele Distribution

Analysis of HLA-DQA1 and DQB1 allele distribution showed no significant differences between NIDDM patients and healthy controls [12]. Specifically, the frequencies of the DQB1non-Asp-57 and DQA1Arg-52 alleles were comparable between the Korean control population and U.S. Caucasians [13-14] (Figure 1).

Figure 1: Distribution of HLA-DQA1 and DQB1 Alleles in NIDDM Patients and Healthy Controls.
Bar chart illustrating the allele frequencies of DQA1Arg-52 and DQB1non-Asp-57 in both the NIDDM and control groups compared with U.S. Caucasians.

Statistical Analysis

There were no statistically significant differences in the mean levels of anti-GAD antibodies or in the distribution of HLA-DQA1 and DQB1 alleles between the NIDDM patients and the control group [15].

Discussion

Interpretation of Findings

The study revealed a very low prevalence of anti-GAD antibodies in both the NIDDM patient group and the control group. This finding suggests that autoimmune processes, typically associated with IDDM, are not common in the early stages of adult-onset diabetes in this population [16]. The absence of significant differences in the distribution of HLA-DQA1 and DQB1 alleles further supports the idea that autoimmune mechanisms are not playing a major role in the development of NIDDM in Korean adults.

The low levels of anti-GAD antibodies, coupled with the absence of autoimmune genetic markers (DQA1 and DQB1) in the NIDDM group, suggest that diabetes in this cohort is more likely to follow the typical non-autoimmune path, which is characterized by insulin resistance and beta-cell dysfunction. This contrasts with findings in other populations, particularly in Western countries, where autoimmune markers are more frequently observed in adult-onset diabetes [17,18].

Comparison with Other Populations

The distribution of the DQB1non-Asp-57 and DQA1Arg-52 alleles in the Korean control group was similar to that in U.S. Caucasians, suggesting that there may be common genetic susceptibility factors across populations. However, the lack of autoimmune markers in the NIDDM patients from Korea points to the possibility that environmental or other genetic factors might influence the expression of autoimmune diabetes in different ethnic groups.

Clinical Implications

The results of this study suggest that routine screening for autoimmune markers, such as anti-GAD antibodies or HLA typing, may not be necessary in Korean adults with newly diagnosed NIDDM, as autoimmune diabetes seems to be rare in this population. This could have significant implications for clinical practice, particularly in countries where the majority of diabetes cases are of the type 2 variety.

Conclusion

The low prevalence of anti-GAD antibodies and the lack of significant differences in HLA-DQA1 and DQB1 allele distribution between NIDDM patients and healthy controls suggest that autoimmune mechanisms do not play a major role in the pathogenesis of adult-onset diabetes in Korean adults. These findings are consistent with the understanding that diabetes in this population is predominantly non-autoimmune. Further research is needed to explore the genetic and environmental factors contributing to the development of diabetes in different ethnic groups. Type 1 diabetes is caused by many factors, one specifically being insulin resistance. Men are more likely to develop type diabetes mellitus due to the excess visceral and hepatic adipose tissue and low levels of adiponectin. Reproductive hormones such as estrogen and testosterone play a role in insulin sensitivity and glucose utilization. With men lacking estrogen and having the potential to experience low levels of testosterone, their chances of developing insulin resistance and diabetes are higher than women. While there are several treatments for type 1 diabetes mellitus, GLP-1 receptor agonists (when paired with basal insulin) have shown the most benefits for regulating blood glucose levels and reducing body weight without causing hypoglycemia. For future studies on treatments for insulin resistance in men with type 1 diabetes, indirect factors such as testosterone levels should be taken under further consideration. Although there is a sharp contrast in the etiology of insulin resistance diabetes in men and women, the complications of insulin resistance form of type 1 diabetes mellitus in males and females are similar.

References

  1. Greenbaum CJ, Bundy B (2006) Type 1 diabetes and autoimmunity: New insights and the importance of early detection. J Clin Endocrinol Metab.
  2. Lernmark A, Pecheniuk N (2007) Genetics of type 1 diabetes: A review of recent studies on autoimmune disease susceptibility. Diabetes Res Clin Pract.
  3. Liu Y, Yu M (2010) The role of anti-GAD antibodies in autoimmune diabetes diagnosis and prediction. J Autoimmun.
  4. Kumanov PP, Spassov L (2012) The prevalence of autoimmune diabetes in Asian populations: A review of genetic and immunological factors. J Diabetes Res.
  5. Faulkner J, Wang X (2011) The importance of HLA-DQ polymorphisms in predicting autoimmune diabetes in ethnic populations. Diabetes Genet J. [crossref]
  6. Arora A, Sharma A (2013) Latent autoimmune diabetes in adults (LADA): A review of epidemiology, diagnosis, and management strategies. Diabet Med.
  7. Norris JM, Scott FW (2007) Environmental and genetic factors in type 1 diabetes: Insights from studies in different ethnic groups. Diabetes Metab
  8. Kimm H (2006) The genetic predisposition to autoimmune diabetes in Korean populations: A study of HLA-DQA1 and DQB1 polymorphisms. Korean J Diabetes.
  9. Bonifacio E, Ziegler AG (2011) Autoimmune diabetes: The pathogenesis of type 1 diabetes and the role of autoantibodies. Curr Diabetes Rev. [crossref]
  10. Wang S, Zhang W (2014) Evaluation of the prevalence of autoimmune markers in Chinese populations with type 2 diabetes. J Clin Diabetes.
  11. Ravitch M, Perera R (2012) Prevalence of anti-GAD antibodies in type 2 diabetes: An overview and comparison between ethnic groups. Diabetes Care.
  12. Jin X, Liu T (2015) Genetic and environmental factors influencing the development of latent autoimmune diabetes in adults in East Asia. J Diabetes Investig.
  13. Sargeant LA, Adams JM (2010) The role of autoantibodies in the classification of adult-onset diabetes in various ethnic groups. Diabetes J. [crossref]
  14. Xu Z, Zhou L (2014) Comparative studies of autoimmune markers in NIDDM patients across different ethnic groups. Mol Med Rep.
  15. Zhou Y, Li H (2013) Prevalence of anti-GAD antibodies and HLA-DQ susceptibility in patients with non-insulin-dependent diabetes mellitus in Korea. J Korean Med Sci. [crossref]
  16. Hampe CS, Weiner RL (2016) Exploring the autoimmune components of diabetes: Evidence from genetic and immunological studies in Asian populations. Endocr Rev.
  17. Chia S, Tan C (2011) HLA-DQ and anti-GAD antibody prevalence in East Asian populations: Implications for diagnosing type 1 diabetes in adult populations. Diabetes Endocrinol.
  18. Shrestha S, Pandey S (2017) Genetic markers and the autoimmune hypothesis in adult-onset diabetes: A study of type 1 diabetes autoimmunity in South Asian populations. Autoimmun Rev.

Annotation of the Meanings of “Jing” in the Treatise on Cold Damage

DOI: 10.31038/IMROJ.20251013

 

The original meaning of “Jing” in “Shuowen·Jiezi” is the vertical thread on the loom. It can be extended to refer to governance, guiding actions, following, weaving, paths, pathways, fundamental principles, classics, and other meanings. And some of these extended meanings are also applied to the original text of “Treatise on Cold Damage”. Throughout the 398 original clauses in the “Treatise on Cold Damage”, there are a total of 12 clauses that involve the word “Jing”. The main words are “ complete the Jing (8)” “ repeat the Jing (8)” “not pass on the Jing (8)” “ move the Jing when sweating (67)” “Jing Shui (143,144,145)” “ follow the Jing (124)” “doesn’t heal to the Jing (114)” “ go through the Jing (103,123,217)” and “meridian restlessness (160)”.

Analysis of the Meaning of the Word “Jing” in the Original Text of “Treatise on Cold Damage”

  • The words “complete the Jing (8)” “ repeat the Jing (8)” “ follow the Jing (124)” “doesn’t heal to the Jing (114)” go through the Jing (103,123,217)”: These “Jing” refer to the process and stages. The unique process recorded in the “Treatise on Cold Damage” at that time was that six days were a period, which served as the basic stage for the occurrence and development of diseases. The end of the first process is called “the end of the Jing”, and the beginning of the second process is called “repeat the Jing (8)”(Li Keshao, the founder of the Qilu Cold Damage School).
  • “not pass on the Jing (8)”: Here, “Jing “refers to the six meridians in the Treatise on Cold Damage, namely the Sun Meridian, Yangming Meridian, Shaoyang Meridian, Taiyin Meridian, Shaoyin Meridian, and Jueyin Li Keshao believed that the emergence of San Yang diseases has a prodromal period of fever and chills, while the emergence of San Yin diseases has a prodromal period of no heat and chills. The symptom period that enters each meridian from the prodromal phase is called “transmission”. In addition, there may also be transmission between the symptom periods of the six meridians, or following the universal transmission rhythm of the six meridians, that is, “typhoid fever occurs in the sun for one day, in Yangming for two days, in Shaoyang for three days, in Taiyin for four days, in Shaoyin for five days, and in Jueyin for six days” (Su Wen · Re Lun), or surpassing this rhythm to form a transmission of the meridians. The transmission and transformation of six meridian diseases should be based on the pulse pattern, and should not be limited to the number of days and the order of the six meridians.
  • “move the Jing when sweating (67)” “meridian restlessness (160)”: The “Jing” here refer to the “Jing qi” flowing in the meridians, that is the “nutrient qi” circulating in the The use of sweating as a treatment method may cause the nutrient qi in the meridians to shake and not function properly, resulting in nutrient deficiency in the meridians and disease progression, which may prolong the recovery time of the disease. In severe cases, it may lead to bad diseases.
  • “Jing Shui (143, 144, 145)” refers to the menstrual cycle of Cold fever during menstruation may be difficult to treat.
  • The Extended Meanings of “Jing” in “Treatise on Cold Damage”

    a.  Classic

    Firstly, “Treatise on Cold Damage” is a classic writing in the history of traditional Chinese medicine. It pioneered the diagnosis and treatment based on syndrome differentiation, and established the Six Classics Dialectics, which made significant contributions to the development of traditional Chinese medicine. Emphasis on integrity and advocating for “observing the pulse and syndrome, knowing where the main problem lies, and treating according to the pulse and the syndrome”, and it have laid the foundation for traditional Chinese medicine’s syndrome differentiation and treatment. Besides, It also suggests that “living, moving, and changing” is the fundamental thinking of traditional Chinese medicine’s syndrome differentiation and treatment (Jiang Jianguo, descendant of the Qilu School of Cold Damage), so the theory of Cold Damage in the basic theory of traditional Chinese medicine is also known as the “classics”.

    b.  Classical Formula

    The complete prescription in “Treatise on Cold Damage” consists of 112 formulas, which are renowned both domestically and internationally for their short and concise nature, concise medication, strict laws, and effectiveness like a drum. They are highly praised by traditional Chinese medicine experts and students. The main characteristics of its formula include corresponding prescription and syndrome, unique clinical thinking, rigorous drug combination, significant therapeutic effect, and high clinical and reference value. Therefore, the prescriptions in the “Treatise on Cold Damage” in traditional Chinese medicine clinical practice are also known as “classical prescriptions”.

    c.  Experience

    “ The Treatise on Cold Damage” is a clinical writing of traditional Chinese medicine, and its four parts of disease, pulse, syndrome, and treatment are actually the inheritance of clinical experience in traditional Chinese medicine. Studying “Treatise on Cold Damage” is to learn the experience of “disease, pulse, syndrome, and treatment” of “Cold Damage Treatise”, and using it as a fundamental and effective clinical guidance rule. We should actively learn and apply it in our clinical practice, gradually improve our clinical skills, and increase clinical efficacy.

    Summary

    Whether it is the original or extended meanings of the character “Jing” in “Treatise on Cold Damage”, it is a reference for our younger generations to learn. The extended meanings of the word “Jing” is “classics, classical prescriptions, and experiences”. The inheritance has always been practiced by the team of the Qilu School of Febrile Diseases, and relevant academic conferences are organized every year for learning (The Team of Si Guomin, descendant of the Qilu School of Cold Damage). From “Shuowen Jiezi” to “ Treatise on Cold Damage”, the meanings of Jing characters are broad and rich. Through detailed analysis and study of them, we not only deepen our understanding of words, but also improve our academic level to a certain extent, as well as enhance our academic and professional literacy.

    Author Contributions

    CCY/QT: designed this work of article; XZW/SXS: wrote the manuscript of this paper; CCY/QT: revised the manuscript; All authors approved the paper for publication.

The Performance and Mechanism of CuMnO2/C Activated PMS for Ofloxacin Removal

DOI: 10.31038/NAMS.2025812

Abstract

This study investigated the degradation performance of CuMnO2/C composites synthesized under different conditions in activating PMS. The materials were characterized using techniques such as XRD, SEM, FTIR, XPS, and zeta potential analysis. Additionally, OFX was selected as the target pollutant to examine the influence of catalyst dosage, PMS concentration, and initial pH on the OFX degradation system and to identify the reactive oxygen species involved. Finally, cycling experiments were conducted to evaluate the stability of the composite material and explore the degradation mechanism. The electron spin resonance (ESR) spectroscopy results confirmed that singlet oxygen (¹O₂) was the dominant reactive oxygen species generated during the reaction. X-ray photoelectron spectroscopy (XPS) characterization of the material before and after the reaction revealed that Cu(Ⅰ) served as the active site for activating peroxymonosulfate (PMS) to produce ¹O₂. Additionally, lattice oxygen (Olatt) participated in the redox cycling of metal ions and electron transfer in the CuMnO2/C-PMS system, where Olatt released electrons to facilitate ¹O₂ generation. The incorporation of carbon (C) enhanced the electron transfer capability of Cu species on the catalyst surface, thereby promoting the efficient decomposition of PMS.

Keywords

Carbon materials, Delafossite-type oxides, Advanced oxidation technology, Peroxymonosulfate (PMS), Antibiotics

Introduction

Since the discovery of penicillin in 1929, antibiotics have been widely used in medicine, agricultural production, livestock farming, and other fields. Major classes include tetracyclines (TCs), macrolides (MLs), sulfonamides (SAs), chloramphenicols (CPs), and fluoroquinolones (FQs), significantly improving human health. However, in recent years, the overuse of antibiotics has posed serious threats to both human health and the natural environment. According to statistics, global annual antibiotic consumption ranges from 100,000 to 200,000 tons. The six antibiotics discharged into aquatic environments include ofloxacin (OFX), sulfamethoxazole (SMX), sulfadiazine (SDZ), roxithromycin (ROX), sulfamonomethoxine (SMM), and erythromycin (ERY) [1]. The concentrations of FQs, SAs, and MLs were 121 ng/L, 187 ng/L, and 17.1 ng/L, respectively. SAs were the most dominant antibiotics, accounting for 57.1% of the total antibiotic concentration, followed by FQs at 37.1% [2]. While most antibiotics have relatively short half-lives [3], the continuous release due to overuse and incomplete treatment leads to a substantial annual influx of antibiotics into water environments, resulting in a “pseudo-persistence” phenomenon. Over time, this poses potential risks to human health and ecosystems [4].

Recently, sulfate radical (SO4)-advanced oxidation processes (SRAOPs) have been widely used for treating organic contaminants in water. SO4 produced from peroxymonosulfate (PMS) possessed a strong oxidation potential, long half-life and high stability in broad pH range (2.0–8.0) [5]. Various methods such as heat or UV treatment [6], carbon-based materials or transition metals activation [7], have been used to improve the PMS catalytic efficiency. Moreover, attentions have been attracted towards transition-metals (Cu–, Co–, Mn–, Fe-based et al.) oxides or their composites construction for PMS activation [8-12]. Wang et al magnetic 2D/2D oxygen-doped graphite carbon nitride/ biochar (γ-Fe2O3/O-g-C3N4/BC) composite was rationally fabricated and used to activate peroxymonosulfate (PMS) for the degradation of SMX,O-g-C3N4 or coconut-derived biochar (BC) displayed low catalytic activity to PMS, while γ-Fe2O3/O-g-C3N4/BC composite showed superior catalytic activity, in which complete degradation of antibiotic sulfameth­oxazole (SMX) was quickly achieved, with the mineralization ratio of 62.3%. The surface-bound reactive species (dominant) and sulfate radicals as well as hydroxyl radicals contributed to SMX degradation [13]. Carbon-based materials are commonly used as supports for transition metal catalysts, forming carbon-loaded metal composites. Graphitic carbon nitride (g-C3N4) exhibits unique advantages such as a distinctive electronic structure, stable physicochemical properties, simple preparation methods, and low production costs, making it a promising candidate for advanced oxidation processes (AOPs) in water treatment [14]. Additionally, g-C3N4 consists of heptazine rings with pyridinic nitrogen groups and six lone-pair electrons, enabling it to act as an electron donor [15]. This structure grants g-C3N4 a strong affinity for capturing transition metal ions, thereby enhancing the stability of the prepared samples by reducing the leaching of free metal ions [16]. Previous experimental studies have shown that pure g-C3N4 has limited effectiveness in activating peroxymonosulfate (PMS) and requires further modification to improve its catalytic performance. For instance, researchers have combined g-C3N4 with metal oxides such as Fe3O4, ZnO, and Mn3O4 to develop high-performance catalytic materials with practical applications. Chang et al. prepared catalysts by doping Cu, Co, and Fe into g-C3N4 via calcination to activate PMS for sulfamethoxazole (SMX) degradation, achieving excellent results. The activity of the doped g-C3N4 followed the order: Co > Fe > Cu [17].

To date, there have been no reports on CuMnO2/g-C3N4 composites for PMS activation. Inspired by these findings, we synthesized a carbon-supported metal composite, CuMnO2/C, using g-C3N4 as the carrier, and applied it in peroxymonosulfate activation reactions, and evaluated their catalytic performance on OFX removal in PMS activation system. Three main parts are presented in this study: (i) OFX degradation performance in different Catalysts + PMS systems; (ii) the stability and applications of the CuMnO2/C + PMS system; (iii) the underlying mechanisms of synergistic effects in PMS activation by CuMnO2/C catalyst system through experiments and ESR analysis.

Experimental Section

Chemicals

In this study, most of chemicals are used without further purification, and are purchased from different companies. Cu(NO3)2·3H2O, C4H6MnO4·4H2O, sodium hydroxide, cetyltrimethylammonium bromide (CTAB), ethanol, and melamine were purchased from Sinopharm Chemical Reagent Co., Ltd. (China). Potassium peroxymonosulfate (PMS) and ofloxacin (OFX) were obtained from Macklin Biochemical Co., Ltd.

Preparation of Catalyst

CuMnO2

0.15 g of CTAB and 5 mL of 2 M NaOH solution were added to a mixed solution of 25 mL deionized water and 25 mL ethanol. Then, 2.5 mL of Cu(NO₃)₂·3H₂O and C4H6MnO4·4H₂O (both at 0.1 mol/L concentration) were slowly dripped into the mixture. The resulting solution was magnetically stirred for 2 h and then transferred into a 100 mL autoclave for hydrothermal reaction at 160 °C for 22 h. The obtained product was alternately washed with deionized water and ethanol until neutral, dried at 60 °C for 12 h, and finally ground for further use.

g-C3N4

5 g of melamine was weighed using an analytical balance and thoroughly ground in a mortar until it reached a flour-like consistency. The ground powder was then transferred into a 30 mL crucible and placed in a muffle furnace. The temperature was raised to 550 °C at a heating rate of 2.5 °C/min, followed by a 5-hour holding time. After cooling, the calcined product was ground to obtain a yellow powdery material, denoted as g-C₃N₄.

CuMnO2/C

Add 25 mL of deionized water into a beaker, followed by the addition of 37.5 mg of hydrothermally synthesized CuMnO₂ and 0.125 g of calcined g-C₃N₄. Subsequently, introduce 2.5 mL of 3 M NaOH into the mixture. Place the beaker in an ultrasonic bath and sonicate for 90 minutes. After sonication, transfer the solution into a 100 mL autoclave, seal it completely, and react at 160 °C for 22 hours. Once the reaction is complete and the system has cooled, perform vacuum filtration, dry the product, and grind it to obtain the final material.

CuMnO2/g-C3N4

Same as CuMnO₂/C, but without adding NaOH.

Characterization

Powder X-ray diffraction (XRD) with monochromatic Cu Kα90 (λ=1.5406 Å) is recorded by a Bruker AXS D8-Focus diffractometer. The surface morphology is studied using field emission scanning electron microscopy (FESEM,Hitachi SU-8010). X-ray photoelectron spectroscopy (XPS) is examined by the MULTILAB2000 electron spectrometer with 300W Al Kα radiation.

Procedures and Analysis

All degradation Using 10 mg/L ofloxacin (OFX) as the model pollutant, unless otherwise specified, 30 mg catalyst is added into 100 mL 10 mg/L of OFX solution and the suspensions are magnetically stirred for 30 min to obtain adsorption/desorption equilibrium between catalyst and OFX solution, a specified amount of peroxymonosulfate (PMS) was introduced to initiate the degradation reaction. The reaction solution is not buffered and the pH changes during the reaction process are monitored by a pH meter. The pH is adjusted by a diluted aqueous solution of NaOH or HCl. At designated time intervals, 4 mL aliquots of the reaction solution were extracted using a 10 mL syringe, filtered through a 0.22 μm membrane to remove catalyst particles, and the filtrate was analyzed by UV-Vis spectrophotometry to determine the residual antibiotic concentration.

η% =(1-Ct/C0)×100%

where C0 and Ct are the initial and the t min (reaction time) concentration of OFX(mg/L).

Results and Discussion

Characterization of As-prepared Samples

The morphology of the CuMnO₂/C composite was further characterized by SEM. As shown in Figure 1, the loaded material exhibits a transition from an originally smooth surface to a loose, porous structure, while effectively retaining the morphological characteristics of the pristine material [18].

Figure 1: SEM images of CuMnO₂/C

Figure 2 shows the XRD patterns of g-C₃N₄, CuMnO₂, and composite materials synthesized under different conditions. In the pure g-C₃N₄ pattern, two characteristic peaks are observed: a strong peak at 2θ = 27.4° corresponding to the (002) interlayer stacking, and a weaker peak at 2θ = 13.1° attributed to the (100) crystal plane [19.20], reflecting the in-plane ordering of tri-s-triazine structural units. The diffraction peaks of CuMnO₂/g-C₃N₄ and CuMnO₂/C match well with the standard card of monoclinic CuMnO₂ (JCPDS: 50-0860) [21], confirming the successful synthesis of the target phase. Compared to CuMnO₂/g-C₃N₄, the characteristic peaks of g-C₃N₄ in CuMnO₂/C are attenuated, likely due to reduced crystallinity induced by the incorporation of carbon. The structural characteristics of the synthesized catalysts were further investigated through FTIR spectroscopy. As shown in the corresponding figure, pure g-C₃N₄ exhibits: A broad absorption band at 3000-3500 cm⁻¹, attributable to surface-bound H₂O molecules and N-H stretching vibrations [22,23]. A wide absorption range between 1200-1700 cm⁻¹, corresponding to stretching vibrations of aromatic CN-C heterocycles [24]. A characteristic peak at 808 cm⁻¹, representing the breathing mode of s-triazine units [25]. The CuMnO₂/C composite maintains similar characteristic peaks to pristine CuMnO₂. However, the intensity of the 808 cm⁻¹ absorption peak is significantly attenuated in the composite, likely due to: reduction of triazine units in the material and partial substitution of N atoms by C atoms [26].

Figure 2: (A) XRD patterns, and (B) FT-IR spectra of as-prepared catalysts.

The variation of surface electrical properties of the CuMnO₂/C catalyst with pH is shown in Figure 3. An isoelectric point exists within the pH range of 3-11. In the pH range of 3-5, CuMnO₂/C exhibits positive surface charge, with the net surface charge reaching zero at pH=5. As pH increases, the zeta potential value progressively decreases and becomes negative, indicating the continuous accumulation of negative charges on the CuMnO₂/C surface, which leads to anion repulsion. The point of zero charge (PZC) of the catalyst significantly influences its adsorption and catalytic properties.

Figure 3: Zeta potential images of CuMnO₂/C

Catalytic Performance of Different Catalysts for OFX Degradation

Through preliminary comparative experiments and synthesis condition optimization, the optimal composite material was determined. Using OFX as the target pollutant at a concentration of 10 mg/L, the catalyst was added and allowed to adsorb for 30 minutes before PMS was introduced for a 120 minute reaction. As shown in Figure 4: Pure g-C₃N₄ showed negligible degradation effects on OFX, CuMnO₂/g-C₃N₄ and CuMnO₂/C achieved OFX removal rates of 76% and 83%, respectively. The physical mixture of CuMnO₂ and g-C₃N₄ demonstrated a 67% removal rate. The results clearly indicate that CuMnO₂/C exhibits the best OFX degradation performance, which aligns with the aforementioned characterization data. This composite material therefore warrants further investigation.

Figure 4: The degradation efficiency in different PMS/catalysts system. Reaction conditions: [catalyst] =0.3 g/L, [PMS] = 0.33 mM, [OFX] = 10 mg/L, initial pH =6.5, T = 30 ℃.

Different Influence Factors

To demonstrate the optimal performance of the CuMnO2/C composite material, further studies were conducted to investigate the effects of PMS concentration, catalyst dosage, and initial pH of the solution on the degradation of OFX. First, the degradation effect of OFX was studied by varying the concentration of PMS. The selected PMS concentrations were 0.24, 0.33, and 0.49 mM. As shown in Figure5A, as the PMS concentration increased from 0.24 mM to 0.33 mM, the removal rate of OFX increased from 83% to 88%. This is attributed to the increasing number of PMS molecules adsorbed on the surface of the CuMnO2/C composite material, which generates more reactive oxygen species (ROS). However, when the PMS concentration was increased to 0.49 mM, the removal rate of OFX did not increase further. This is because an excess of PMS can react with ROS, thereby inhibiting the degradation of OFX.

Next, we selected catalyst concentrations of 0.2 g/L, 0.3 g/L, and 0.4 g/L as variables to study the effect of catalyst content on the degradation of OFX in the activation system. As shown in Figure 5B, the degradation of OFX by CuMnO2/C activated PMS at different catalyst concentrations is illustrated. As the catalyst concentration increased from 0.2 g/L to 0.3 g/L, the degradation rate of OFX rose from 81% to 88%. However, when the catalyst concentration reached 0.4 g/L, the degradation effect showed an inflection point, and the removal rate of OFX did not increase further, remaining at 87%. With the continuous increase in catalyst concentration, the surface active sites became saturated and could no longer provide additional sites for activating PMS to generate more reactive oxygen species. Therefore, in the CuMnO2/C activated PMS system for degrading OFX, the optimal catalyst concentration is 0.3 g/L.

The pH of the solution has a significant impact on the organic compounds and the existing forms of PMS [27]. We investigated the effect of different pH levels (3.47-9.6) on the removal of OFX using CuMnO2/C activated PMS. Figure 5C illustrates the degradation of OFX at different initial pH values. As the pH increased from 3.47 to 6.5, the removal rate of OFX gradually increased. However, when the pH reached 9.6, the removal rate of OFX slightly decreased. This is because an excess of OH⁻ accumulating on the surface of the catalyst can lead to stronger electrostatic repulsion between the PMS anions, which reduces the availability of SO•⁻ 4 and subsequently affects the degradation process. Overall, the CuMnO2/C activated PMS system for degrading OFX demonstrates a wide pH adaptability range.

Figure 5: Effect of experimental conditions on OFXremoval in CuMnO2/C + PMS system. (A) PMS dosage (0.24 mM–0.49 mM); (B) catalyst dosage (0.2 g/L–0.4 g/L); (C) initial pH conditions. Reaction conditions: T = 30 ℃.

Universality and Recyclability of CuMnO2/C

Furthermore, the long-term performance of CuMnO2/C was evaluated. Under the conditions of a catalyst dosage of 0.03 g and a PMS dosage of 0.33 mM, as shown in Figure 6A, after four consecutive cycles, the removal efficiency of OFX by CuMnO2/C-activated PMS experienced a certain degree of decline—potentially due to the leaching of some metal active components—but still reached 76%, indicating the relatively good stability of CuMnO2/C. Figure 6B displays the XRD pattern of CuMnO2/C after the PMS-activated degradation of OFX. Compared with the XRD pattern before the reaction, the structure of CuMnO2/C showed no significant changes, confirming that the crystalline structure of the catalyst remained stable after the OFX degradation reaction.

As shown in Figure 6C, in real water environments (Lanyue Lake water and tap water), the CuMnO2/C-activated PMS system still efficiently degraded OFX. In the tap water system, the degradation efficiency after 120 minutes of reaction was nearly identical to that in the deionized water system (~88%), indicating that the complex composition of tap water did not negatively affect OFX removal. This may be attributed to various inorganic ions and other substances in the water promoting the reaction through mechanisms such as chelation, adsorption bridging, and the generation of reactive species via radical reactions. In the Lanyue Lake water system, the OFX degradation rate reached 84% after 120 minutes, slightly lower than in the deionized water system but still demonstrating excellent degradation performance.

Figure 6: Universality and recyclability study on OFX removal in CuMnO2/C + PMS system. (A) The reusability of CuMnO2/C; (B) fresh and used CuMnO2/C characterization XRD; (C) different water qualities. Reaction conditions: [OFX] = 0.01 g/L, [catalyst] = 0.3 g/L, [PMS] = 0.33 mM, pH =6.5, T = 30 ℃.

Identification of the Main Active Species

Figure 7A shows the results of radical scavengers on the degradation of OFX in the CuMnO2/C activated PMS system. It can be observed that the addition of 0.6 mM TBA and 0.6 M MeOH removed 73% and 80% of OFX, respectively, indicating the presence of a small amount of •OH in the system [28]. To further confirm these results, ESR tests were conducted. A 1: 1: 1 triplet signal characteristic of TEMP-1O2 was detected 2 minutes after the addition of the catalyst [29]. As the reaction progressed to the 20th minute, the TEMP-1O2 signal remained unchanged, while the intensity of the TEMP-1O2 signal significantly increased. The combined results of the quenching experiments indicate that in the CuMnO2/C catalytic degradation of OFX system, 1O2 plays a major role in the degradation of the pollutant.

Figure 7: Effects of radical scavengers on OFX degradation; (B) ESR spectrum of TEMP for 1O2 in CuMnO2/C + PMS system.

The Possible Mechanisms of PMS Activation Over CuMnO2/C

To investigate the changes in elemental content of the CuMnO2/C catalyst before and after the reaction and to identify the active sites, as well as to clarify the degradation mechanism, XPS was employed to analyze the elemental composition and valence states of the catalyst, along with peak fitting analysis. As shown in Figure 8 (A) displays the C1s spectrum, where the peak of C1s significantly enhanced after the reaction. This may be due to the surface adsorption of a certain amount of target pollutants during the reaction, which corresponds to the change in C1s observed in Figure 8A. In Figure 8B, the O1s spectrum is divided into three peaks at 529.58 eV, 531.27 eV, and 533.0 eV, corresponding to lattice oxygen (Olatt), surface hydroxyl oxygen (Oads), and adsorbed oxygen from water, respectively. The relative content of Olatt significantly decreased from 66.3% to 11% after the catalytic reaction, while the content of Oads increased from 29% to 41%. This indicates that both Olatt and Oads participated in the redox reactions and electron transfer of metal ions in the CuMnO2/C activated PMS system, with lattice oxygen being able to release electrons to generate 1O2. Additionally, the increase in the proportion of H2O is attributed to the participation of CuMnO2/C in the aqueous phase reaction, resulting in the adsorption of a significant amount of crystalline water.

Figure 8: XPS spectra of (A) C 1 s; (B) O 1 s; (C) Cu 2p; (d)Mn 2p for CuMnO2/C before and after reaction.

Figures 8C and 8D present the high-resolution XPS spectra of Cu2p3/2 and Mn2p3/2. Compared to before the reaction, the peaks for Cu and Mn elements after the reaction became less pronounced, which aligns with the significant reduction in the Cu2p and Mn2p peak intensities in the full spectrum after the reaction. In Cu2p3/2, the binding energies of 932.36 eV and 934.29 eV correspond to Cu(I) and Cu(II) [30,31], respectively. After the reaction, the relative content of Cu(I) decreased from 50.2% to 22.8%, while the relative content of Cu(II) increased from 49.8% to 87.2%. This indicates that Cu(I) can provide electrons during the catalytic process, leading to an increase in Cu(II) after oxidation, and Cu(II) can also accept electrons during the reaction process to form Cu(I). In Figure 8D, the Mn2p3/2 peak is divided into three peaks at 640.8 eV, 641.9 eV, and 643.3 eV, corresponding to Mn(II), Mn(III), and Mn(IV), respectively [32,33]. After the reaction, Mn remained in the states of Mn(II), Mn(III), and Mn(IV). The XPS results before and after the reaction indicate that Cu(I) acts as the active site in the system, activating peroxymonosulfate to produce reactive oxygen species (1O2). Additionally, the incorporation of C enhances the electron transfer capability of Cu species on the catalyst surface, thereby promoting the effective decomposition of PMS (Figure 9).

Figure 9: Mechanism of PMS activation on CuMnO2/C for OFX degradation.

Conclusions

In summary, this study successfully prepared the CuMnO2/C composite material via a hydrothermal method. The optimal conditions were determined to be a PMS concentration of 0.33 mM, catalyst dosage of 0.3 g/L, and neutral pH, achieving an 88% removal rate of OFX after 120 minutes of reaction. ESR analysis confirmed that singlet oxygen (1O2) served as the primary reactive species. In this system, Cu(Ⅰ) acted as the active site for peroxymonosulfate activation, generating reactive oxygen species (1O2). Simultaneously, lattice oxygen (Olatt) participated in the redox cycling of metal ions and electron transfer within the CuMnO2/C-PMS system, where the release of electrons from lattice oxygen contributed to 1O2 production. The incorporation of carbon enhanced the electron transfer capability of surface Cu species, thereby promoting the efficient decomposition of PMS. The applicability of the CuMnO2/C + PMS system in a wide pH range of 3.47~9.6 and various organic pollutants and different water qualities validates its application potentials.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Supporting Information

Supplementary data associated with this article can be found in the Supporting Information.

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Developing a New Skin Cosmetic Product: Rapid, Efficient Insights from AI Coupled with Mind Genomics Thinking with the Product Selected, and the Evaluation of Relevant Communications by Actual Prospective Consumers in the UK

DOI: 10.31038/MGSPE.2025513

Abstract

The paper shows how Mind Genomics, coupled with AI, can drive the creation of messaging for a new cosmetic product. AI (ChatGPT 3.5) in the Idea Coach feature of BimiLeap.com, the Mind Genomics platform, generated the required 16 test elements for Mind Genomics. These test elements (statements about the product) were combined into vignettes, presented to 25 English respondents (ages 18-25). The data, collected in less than two hours through an online panel, identified strong performing elements and two dramatically different mind-sets among the respondents: those interested in the texture and skin-relevant aspects and those interested in the fragrance. The speed, low cost, simplicity, and scope of the research provides a new way to understand products, build the critical knowledge base and generate potentially better market entries.

Keywords

Artificial intelligence, Consumer behavior, Cosmetic product development, Market research innovation, Mind genomics

Introduction

Product development and marketing have traditionally relied on qualitative interviews or questionnaires to gather insights from consumers. The process required the respondent to think in an abstract way about experiences that are often concrete and hard to conceptualize. Thus, in a situation involving cosmetics, the respondent may be asked to rate the importance of ideas or experiences one at a time. It is not unusual for consumer researchers to report these ratings as the “truth” for a particular respondent [1-3]. The emergence of Mind Genomics thinking in the late 20th and early 21st centuries introduced a new approach. This approach involves breaking down a problem into different topics or questions and then identifying various answers or elements for each question. These elements are combined into vignettes, which are small, easy-to-read combinations that paint a word picture. Respondents do not answer individual questions but instead respond to the vignettes created by the combination of elements. This approach is simpler and more engaging for participants, as it allows them to provide feedback based on real-world scenarios rather than abstract concepts. The underlying statistical machinery then analyzes how each element contributes to the overall rating of the vignette [4-6].

Today’s version of the Mind Genomics process involves four questions, each with four answers or elements. These elements are stand-alone phrases or sentences that are mixed and matched into vignettes according to a predetermined experimental design. The experimental design ensures that the elements are statistically independent of each other, allowing for a more accurate analysis of consumer responses. One of the most important aspects of Mind Genomics is that each respondent evaluates just the right number of vignettes of the right construction by an underlying experimental design. The experimental design ensures that each vignette has a minimum of two elements and a maximum of four elements. Furthermore, in each vignette, the elements must come from different questions. That is, no question can contribute more than one element to a vignette, although there are, of course, many vignettes to which a question does not contribute. Perhaps the most important feature is that each respondent in the Mind Genomics study evaluates a unique set of 24 different vignettes. The underlying permutation scheme thus enables the Mind Genomics study to cover a wide range of combinations.

Finally, with the Mind Genomics platform, BimiLeap.com and the embedded artificial intelligence available through the Idea Coach feature, it becomes a very simple matter for the researcher, experienced or inexperienced, to develop questions and answers [7]. The benefits of this approach are that the Mind Genomics system becomes a way to explore the topic rather than to confirm one’s judgment. The old Russian adage “measure nine times, cut once” is not necessary. The user can freely explore the topic because it is not necessary to “know the right answer” at the start of the study or experiment. The answer emerges.

Setting Up the Mind Genomics Study to Understand How “Real People” Feel About Ideas for a Cosmetic Lotion

Step 1 requires the researcher to create four questions that “tell a story” and then for each question to create four separate answers, hopefully each answer meaningfully different from the other three answers to the question. Figure 1 shows the template where the researcher fills in the four questions. Figure 2 shows the template where the researcher fills in the answers to the first question.

Figure 1: Template in BimiLeap.com requesting user to create four questions which tell a story.

Figure 2: Template in BimiLeap.com requiring the researcher to create four answers to the question.

Figure 3: Example of a vignette with the rating question (top) and the actual vignette comprising three elements (bottom).

In the original Mind Genomics studies, researchers faced the challenging task of developing questions and answers for each topic. This task proved to be daunting for many individuals, especially older professionals, as it required critical and creative thinking skills that were not commonly taught. The concept of structuring thoughts into questions and answers forced participants to step out of their comfort zone and think outside the box. With the integration of AI into the BimiLeap.com platform through the Idea Coach, the process of generating questions and answers became more streamlined. Users could simply input the topic and some information, and the platform would generate 15 relevant questions. Researchers were then tasked with selecting up to four questions, completing one or several iterations, and fine-tuning the questions to create a narrative for the study. The same process is applied to generating answers, with AI creating responses based on the selected questions. Researchers were responsible for choosing and arranging the answers to create a coherent word picture that could stand alone or in a group. This innovative approach allowed for a more efficient and structured way of collecting data and insights from participants. For both generating questions and answers, the Idea Coach enabled the user to specify the nature of the way the questions and answers should “read,” e.g., be explanatory, have fewer than a certain number of words, etc. Furthermore, Idea Coach enabled the user to “edit” the output from AI at any time so that the Idea Coach became a true aid to the project, rather than “taking over.”

Table 1: The four questions and the four answers to each question, as created by AI and edited slightly by the researchers.

Table 2: Two preliminary self-profiling classification questions and the rating question.

Incorporating AI into the research simplified the process of developing questions and answers, allowing researchers to focus more on the analysis and interpretation of data. This approach not only saved time and resources but also enhanced the overall quality of the elements, as Table 1 suggests. The elements “read well.”

The actual implementation of the study is straightforward, following these steps:

  1. The questions and elements (answers) are generated and put into a form so that each element becomes a stand-alone phrase that paints a word picture.
  2. The BimiLeap platform combines the elements into 24 combinations known as vignettes. Figure 3 (bottom) shows an example of the vignette, in this case three elements or answers, one element or answer from three of the four questions. The fourth question does not contribute to the vignette.
  3. The underlying experimental design prescribes 24 vignettes. The combinations are created in order to ensure that the 16 elements or answers appear equally often (5 times in 24 vignettes) and that no vignette contains more than one element or answer from a question (preventing mutually contradictory statements in a single vignette).
  4. The basic design is permuted to create “isomorphic” designs. That is, the mathematical structure of the 24 vignettes is maintained, but the elements are permuted. The happy result is that each respondent evaluates a unique set of combinations.
  5. Each respondent evaluated the appropriate 24 vignettes, making it possible to analyze the data from each separate individual.
  6. The permutation scheme is set up so that one need not know the “right combinations” to test. As noted in the introduction, this permutation means that the Mind Genomics procedure tests a great deal of the possible space. The analogy to this approach is the MRI, which takes pictures of the underlying body from different angles and reconstructs the body by combining the pictures taken from different angles [8].
  7. The respondent begins by receiving an invitation to participate, clicking on the embedded link, and being shown to the study. The study is introduced by a short paragraph. The paragraph here is reduced to a simple sentence as follows: “Study info: This is about a new cosmetic product to be offered for young people at a very low cost.” Parenthetically, most respondents exhibit indifference towards the study and simply follow these introductory instructions. In some cases, such as the use of Mind Genomics for the law, the introduction may be longer.
  8. Before the actual evaluations begin, the respondent completes a simple classification question, requiring the respondent to provide age and gender. For this study, the respondent answered two additional questions shown below in Table 2.
  9. Once the respondent has completed the self-profiling classification, the respondent evaluates each vignette one at a time (monadic evaluation), using the rating scale at the bottom of Table 2.
  10. The BimiLeap platform first acquires the information from the self-profiling classification.
  11. The BimiLeap platform then presents each vignette, obtains the rating, and measures the response time. The response time (RT) is defined as the number of seconds to the nearest 100th a second between the time the vignette is presented to the respondent and the respondent selecting a rating. Times greater than 8 seconds are considered to represent the respondent multi-tasking and were automatically brought to the value of 8 seconds.
  12. The respondents were 25 females, 18-25 years old in the United Kingdom. They were members of Lucid, Inc. (now Cint, Inc.) online panel and were accustomed to participating in online studies of this type. It is important to note that the respondents are not experts.
  13. With the experimental design presenting 24 different vignettes, usually requiring 3-4 minutes in total to evaluate, it is virtually impossible for the respondents to “game” the system. The typical behavior which emerges is almost a relaxed, intuitive response to the vignette, rather than a considered response which searches for the “right answer.”

Analysis of the Data Using Ordinary Least Squares (OLS) and K-means Clustering to Create Mind-Sets

  1. The scale presented at the bottom of Table 2 shows two dimensions. The first dimension is “buy vs. not buy,” and the second dimension is “believe vs. do not believe.”
  2. The Mind Genomics convention is to recode the 5-point scale to new binary variables. These binary variables are easier to understand. The coding is either 100 (yes) or 0 (no).
  3. The coding is the following: Buy (DV = Buy R54). Rating of 5 or 4 coded as 100, rating of 3, 2, or 1 coded as 0. Believe (DV = Believe R52). Rating of 5 or 2 coded as 100, rating of 4, 3, or 1 coded as 0. Not Buy (DV = Not Buy, R21). Rating of 2 or 1 coded as 100, rating of 5, 4, 3 coded as 0. Not Believe (DV = Not Believe R41). Rating of 4 or 1 coded as 100, rating of 5, 3, 2 coded as 0.
  4. To all newly created binary variables is added a vanishingly small random number (<10-5). This prophylactic step ensures that newly created binary variables have some marginal degree of variability even when the re-coding ends up being all 0 or 100. The addition of variability ensures that the Ordinary Least Squares (OLS) regression will not fail. Response Time (RT) is the measurement provided by the Mind Genomics platform. Response times of 8 or more seconds are brought to 8 seconds with the assumption that the long response time suggested that the respondent was multitasking and not paying attention to the task.
  5. The equation used to fit the data is expressed as: Dependent Variable k1A1 + k2A2.. k16D4.
  6. The equation does not have an additive constant. The rationale for this is the desire to force all the explanation of the variation onto the elements.
  7. A separate analysis looking at the t-statistic of the coefficients when estimated without an additive constant vs. with an additive constant was used to identify the level of the coefficient in the model without an additive constant corresponding to a significant coefficient (t-statistic > 2.0). A coefficient around 20 emerged as corresponding to a significant coefficient. All of the coefficients with buys values of 21 or higher are highlighted.
  8. For the analysis of the response time coefficients, a coefficient of 1.3 or higher was deemed to reflect the respondent focusing on the element. In turn, a response time coefficient of 0.2 or lower was assumed to represent that the respondent barely considered the element when making a decision and therefore did not pay attention.

Table 3: Performance of the 16 elements on the dependent variables, as represented by the coefficient of the element estimated by OLS regression.

Table 3 shows the coefficients of the five equations for the total panel (Buy, Believe, Not Buy, Not Believe, and Response Time all vs. the presence/absence of the 16 elements).

The results are straightforward to read:

The element performed reasonably well among the total panel. Three elements that performed significantly well specifically for interest in buying:

C1 A dance of fragrant notes that stir the soul.

D1 Cloaks blemishes in a soft embrace of light.

C2 A sweet lullaby sung by wildflowers under moonlight.

D1 is not believed at all, however: this reads “Cloaks blemishes in a soft embrace of light” and calls into question the belief that the product can actually cloak blemishes the way as promised.

Finally, one element truly captures the imagination, as shown by the long response time attributed to that element: 1.3 seconds. The element is: “C1: A dance of fragrant notes that stir the soul.”

If one were to draw any conclusions, one would say that these elements in particular perform very well, but there are no truly strong general patterns.

Moving from the Total Panel to Mind-Sets

The second analysis performed by Mind Genomics groups into clusters based upon the pattern of the 16 coefficients generated by each respondent when the newly created binary dependent variable “buy” (R54 -Buy) becomes the dependent variable. The approach is known as k-means clustering [9].

Each respondent has a distance from every other respondent based on the pattern of the 16 coefficients. The distance is defined by the newly created variable (D = 1- Pearson R). R is the Pearson correlation coefficient. R takes on the value 2 when the correlation R is -1. The lowest possible correlation, -1, corresponds to two people whose 16 elements go in opposite directions and is described by the highest possible distance D between two patterns (D = 2). In contrast, when the two respondents show a perfect linear correlation, +1, the distance is 0 (D 1 – 1 = 0). This is logical because the patterns are parallel to each other, perfectly related. Once we have assigned each respondent to one of the two mind-sets, we revisit the OLS regression and rerun the regression twice, one for Mind-Set 1, and the other for Mind-Set 2.

The story now becomes clearer. Table 4 compares the coefficients for Buy, Believe, and Response Time for Mind-Set 1 vs. Mind-Set 2. Mind-Set 1 comprised 8 of the 25 respondents, while Mind-Set 2 comprised 17 of the 25 respondents. Mind-Set 1 appears to focus on elements presenting information about touch and skin, as well as covering blemishes (elements D1, D2, A1, D3, A4, D4). Mind-Set 1 believes strongly only in one message, D2 (smooths away flaws with a gentle, luminous touch). Mind-Set 1 pays attention to two messages: “Like a gentle kiss of sunshine, warming your complexion,” and “Like a soft focus lens, it perfects with grace.” We might call Mind-Set 1 “Focus on touch and skin.”

Table 4: Coefficients for the 16 elements for Buy, Believe, and Response Time by mind-set. Blank cells correspond to elements with coefficients that are 0 or negative.

Mind-Set 2 appears to focus on all four elements describing fragrance (C1, C2, C3, C4). However, Mind-Set 2 believes strongly only in one element (a kiss of mystery that lingers long after application). Finally, Mind-Set 2 does not appear to be “captivated” by the phrases because the response times for the elements are all lower than the cut-off point of 1.3 seconds, operationally defined as the level an element has to reach in order to be considered an element that holds the respondent’s attention.

AI Analysis of Strong Performing Elements

With the incorporation of AI into BimiLeap through the Idea Coach feature, the Mind Genomics platform now offers a standardized analysis of strong performing elements, using Chat GPT 3.5. The analysis occurs after the platform has created the full report. The underlying motivation for the analysis is to determine whether AI can pull out additional information about the respondents (viz., Mind-Sets 1 and 2) by further analyzing the strong performing elements.

Table 5 shows the analysis of strong performing elements on the “Buy” scale for Mind-Sets 1 and 2, respectively. Each analysis uses seven queries. The result generates a machine-created interpretation of the data. The important thing here is that Mind Genomics now has a coach that truly provides additional insights. AI now becomes a collaborator with Mind Genomics to add dimensionality and depth to the results describing the attractiveness of the mindset as a target audience, etc.

Table 5: High-level AI analysis of the strong performing element for the question “Buy” (viz. R54), by Mind-Sets 1 and 2.

Discussion and Conclusions

The use of AI in market research, particularly in the context of studying consumer responses to new beauty products, may accelerate the way companies gather feedback and make informed business decisions. In this study on the responses to a new skin lotion product among females in the UK ages 18-25, AI played a crucial role in both generating the key elements about the product and running the Mind Genomics experiment. Within just three hours, the three-pronged effort provided insights into how this specific demographic perceived and reacted to the product. One of the major benefits of using AI in this capacity is the speed at which insights can be generated. Traditional market research methods can be time-consuming and costly, but with the help of AI, the researchers were able to collect and analyze data in a fraction of the time. This rapid turnaround time enables companies to make quick adjustments to their marketing strategies and product offerings, keeping them ahead of the competition.

Additionally, AI has the ability to identify patterns and generate hypotheses that may not be immediately apparent to human researchers. By using Mind Genomics analytical capabilities, the study project uncovered two distinct mind-sets among the female participants in our study, providing a deeper understanding of their preferences and behaviors. Overall, the integration of AI and Mind Genomics in market research offers a powerful combination of speed, accuracy, and depth of insights that can be invaluable to companies looking to stay competitive in today’s fast-paced business landscape.

Acknowledgments

The authors gratefully acknowledge the foresight of Dr. Nenad Filipovic to bring this approach of Mind Genomics to Serbia and to encourage its use among students and professionals, as well as to publish the results of papers in the scientific, technical and business literatures. The authors would like to thank Vanessa Marie B. Arcenas and Angela Aton for their ongoing help in preparing this manuscript and its companion papers.

Abbreviations

ChatGPT: Chat Generative Pre-Trained Transformer; OLS: Ordinary Least Squares; RT: Response Time

References

  1. Beresniak A, de Linares Y, Krueger GG, Talarico S, Tsutani K, et al. (2012) Validation of a new international quality-of-life instrument specific to cosmetics and physical appearance: BeautyQoL questionnaire. Archives of dermatology 148: 1275-1282.
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  3. Segot-Chicq E, Compan-Zaouati, D, Wolkenstein P, Consoli S, Rodary C, et al, (2007) Development and validation of a questionnaire to evaluate how a cosmetic product for oily skin is able to improve well-being in women. Journal of the European Academy of Dermatology and Venereology: JEADV 21: 1181-1186.
  4. Gofman A, Moskowitz HR (2012) Rule Developing Experimentation: A Systematic Approach to Understand & Engineer the Consumer Mind (p. 473) Bentham Science Publishers.
  5. Moskowitz, HR, Gofman A, Beckley J, Ashman H (2006) Founding a New Science: Mind Genomics. Journal of Sensory Studies 21: 266-307.
  6. Moskowitz H, Rappaport S, Moskowitz D, Porretta S, Velema B, et al. (2017) Product design for bread through mind genomics and cognitive economics. In Developing New Functional Food and Nutraceutical Products (pp. 249-278) Academic Press.
  7. Moskowitz H, Rappaport S, Wingert S (2024) IDEA COACH: Using Generative AI and Mind Genomics Thinking to Drive Questions and Answers in Industrial Design. In Innovative Industrial Design – Principles and Practices.
  8. Gofman A, Moskowitz H (2010) Isomorphic permuted experimental designs and their application in conjoint analysis. Journal of Sensory Studies 25: 127-145.
  9. Likas A, Vlassis N, Verbeek JJ (2003) The Global k-Means Clustering Algorithm. Pattern Recognition 36: 451-461.

Developing a New Skin Cosmetic Product: Rapid, Efficient Insights from AI Coupled with Mind Genomics Thinking After the Product Has Been Selected, and the Focus Turns to Specifics

DOI: 10.31038/MGSPE.2025512

Abstract

This second paper in the series of three papers on product design shows how to create a new idea for a skin lotion, using Mind Genomics coupled with AI embedded in the Mind Genomics platform, BimiLeap.com (Idea Coach feature). The user presents the AI with the request to create new ideas for a “foundation product.” The paper shows how AI provides different ideas in a single iteration and then, after the iteration is closed, continues to apply critical thinking to its own suggestions. The outcome is a detailed suggestion of 10 different lotion products that might be created, along with the nature of each product, and a business case for each product idea.

Keywords

Cosmetic development, Generative AI, Mind Genomics, Product innovation

Introduction

This second paper builds upon the material presented in the Thompson et al. paper, “Developing a New Skin Cosmetic Product: Rapid, Efficient Insights from AI Coupled with Mind Genomics Thinking at the Very Earliest Stages of Ideation with Limited or Even No Knowledge.” Once the basic product has been chosen—a lotion—the next objective was to specify the nature of this new lotion.The paper presents a novel approach to this step of specification. The approach was to create consumer-meaningful phrases that embed product features in them. Although the approach might seem difficult, viz., combining creativity and cosmetic technology, at the level of AI powered by Mind Genomics thinking, the approach is quite actually straightforward.

Table 1 presents the instruction to the AI (ChatGPT 3.5) using the Mind Genomics platform BimiLeap.com. The instructions are put into Idea Coach (Table 1 top). Within 15 seconds or so, viz., almost immediately, AI returns with the descriptions (Table 2 bottom).

Table 1: Instructions to AI about the product and the 15 different phases describing the product in “poetic” consumer language.

Table 2: Perspectives—critical thinking of the AI regarding its own suggestion of 15 phrases.

Critical Thinking Presented by AI After the Study has Closed

As in the previous study, once the project is “closed,” the AI is instructed to review its own suggestions presented to the user (Table 1). Table 2 presents the perspectives.

Table 3 continues the critical thinking, presenting the points of view of those who are in favor of these product ideas (Interested) versus those who are against these product ideas (Opposing).

Table 3: AI simulation of audiences interested in the 15 phrases (top) versus audiences opposing the 15 phrases (bottom).

The Road to Innovation—Additional Information Needs and Alternative Viewpoints

Table 4 presents information that will be useful for product design and communication. The top of Table 4 shows the AI observation about additional information needed. The bottom of Table 4 shows alternative viewpoints, viz., a “no-holds-barred” analysis of the messages in terms of where the messages veer off-target and could be improved.

Table 4: Pre-innovation. Additional information that AI says it “needs” (top), and alternative viewpoints (bottom).

Deeper Analysis of Innovations

The final analysis in this study is a set of recommended innovations, shown in Table 5. This time, AI generated 10 innovations analyzed in depth, once again doing this work after the study has been closed. Had this iteration been repeated, e.g., 20x, a task that would have taken three minutes for the user to execute by simply pressing the right key to “repeat the effort,” the Idea Coach in BimiLeap.com would have returned 20 of these full analyses, rather than the one full analysis shown in detail in this paper. That effort, requiring just an extra few minutes “upfront,” would thus generate an entire repository of information for the user.

Table 5: Ten AI-suggested innovations, together with AI’s critical analysis of each innovation on technical as well as business dimensions.

Using AI to Consider Its Own Operations

The final step in this paper is to instruct AI to reflect on the combination of AI and Mind Genomics thinking as a potential coach, collaborator, or even an occasional “lead” in the product development process. During the course of several iterations, AI returned with a variety of questions—15 of which are shown below. These questions are generated as a standard part of the output of Idea Coach in the Mind Genomics platform, BimiLeap.com. The questions are put in to spur additional thinking about the topic. Table 6 shows 15 of these questions, along with answers and then speculation about the future.

Table 6: Fifteen questions about the contribution to consumer product development by a combination of AI and Mind Genomics thinking.

Discussion and Conclusions

AI and Mind Genomics thinking are valuable tools with which to create innovative consumer products. By analyzing consumer preferences and trends, AI can generate unique and appealing ideas, allowing for targeted product development. This approach promotes creativity and experimentation, leading to groundbreaking products. Combining human insight with AI analysis allows companies to push boundaries in product development and stay ahead of competition. However, AI may not invent as well as human creativity and may struggle to think outside predefined parameters. Despite these challenges, the value of AI and Mind Genomics in product development cannot be understated, as they create products which cater to consumers’ specific needs and preferences.

Acknowledgment

The authors gratefully acknowledge the foresight of Dr. Nenad Filipovic to bring this approach of Mind Genomics to Serbia and to encourage its use among students and professionals, as well as to publish the results of papers in the scientific, technical, and business literatures.The authors wish to thank Vanessa Marie B. Arcenas and Angela Louise C. Aton for their ongoing help in preparing this and companion papers in this series.

Developing a New Skin Cosmetic Product: Rapid, Efficient Insights from AI Coupled with Mind Genomics Thinking at the Very Earliest Stages of Ideation with Limited or Even No Knowledge

DOI: 10.31038/MGSPE.2025511

Abstract

The paper shows how to create new product ideas using a combination of AI (ChatGPT 3.5) and Mind Genomics thinking and is based on the Mind Genomics platform, BimiLeap.com (Idea Coach feature). In this paper, the request was to have AI ask and answer questions about a possible cosmetic product for skin care. AI returns with 15 questions, and answers. This question-and-answer step can be repeated. Once the user closes the BimiLeap program, the AI applies creative thinking to the 15 answers to generate a set of innovations and each innovation idea is analyzed by AI. It is from these AI-suggested innovations that the user develops the product idea, in this case a lotion with an unusual fragrance. This early stage of the process is efficient, low-cost, and rapid-requiring minutes for the iteration and a few hours for the deeper analysis by AI.

Keywords

Cosmetic development, Generative AI, Mind Genomics, Product innovation

Introduction

Creating a new product has often been a situation of hit or miss, with many people hiring “experts” in the topic area, as well as experts in ideation regarding new ideas. With the widespread adoption of generative AI, such as ChatGPT 3.5, the questions arise as to the degree to which AI can help drive the ideation process. The ultimate results, of course, would have to be acceptable to consumers and would have to bring market success.

The Mind Genomics approach enriches the development process by providing a framework for understanding consumer perceptions and preferences. By segmenting the target market into distinct groups based on their unique responses to different stimuli, companies can tailor the product offering to each segment, increasing its relevance and appeal. This approach helps companies uncover hidden opportunities, identify niche markets, and optimize product positioning for maximum impact.

This paper focuses on the use of AI, coupled with Mind Genomics thinking, to drive the development of new ideas for the proposed product. This paper is the first of three connected papers on the process, with the materials in the first two papers generated by AI, and the materials in the third paper representing the response of actual people in the UK to the idea. All AI “material” was generated using the Mind Genomics platform, BimiLeap.com (Idea Coach feature).

Mind Genomics as a Coach, Which Drives the User to Ask the “Right Questions”

We begin with the example of a “tabula rasa,” a blank slate, and how Mind Genomics and AI fill that slate. As an example, consider 15 questions and answers in Table 1 that may arise in the development of new cosmetics. These 15 questions and answers were generated by the Mind Genomics platform, BimiLeap.com. The important thing to note about Table 1 is that in just a few moments, and with the correct software accessing generative AI, such as ChatGPT 3.5, the developer can access a “coach” to help navigate issues of knowledge and can receive suggestions which have aspects of guidance attached to them.

Table 1: AI and Mind Genomics as a coach. Instructions given to AI to provide 15 questions and answers about creating and marketing a cosmetic product.

Given the foregoing ability of AI, coupled with Mind Genomics thinking, to become a “partner” in the development process, let us follow the effort through. This first of three papers shows how to develop the basic ideas, even when at the inception of the project, there is no “inkling” about what to do.

Phase 1 — Thinking About the Process and Getting General Direction From AI

Table 2 presents the initial instructions to the AI platform about the process, and what AI returns. The assumption here is that the person writing the instructions to AI knows absolutely nothing about the topic.

Table 2: Instructions to the AI about how to think about the new product idea.

Phase 2 — Requesting Direction from AI for a Specific Product, a Cosmetic Product for the Skin

Using AI, the emerging science of Mind Genomics provides a novel method that generates a large number of original ideas in response to user instructions (e.g., AI instructions and prompts). As a standard practice, Mind Genomics generates a variety of questions, answers, and even full concepts that could not have been thought of otherwise by using AI algorithms to examine data and trends. Phase 2 uses AI to create targeted questions about the product, as shown in Table 3.

Phase 3 — Teaching Critical Thinking by Having AI Analyze Its Own Suggestions

AI further analyzes the ideas that it generates. After the “iteration” is finished and the material is returned to the user (see Table 3), the study can be temporarily closed. Afterwards, when the study is closed, AI automatically reviews its own production (see Table 3), focusing on a variety of alternative aspects.

Table 3: Fifteen targeted questions about the product generated by AI.

The remainder of this paper presents the output from AI as it reviews what it created (see Table 3), applying critical thinking and innovation aspects to the effort.

Table 4 begins the critical thinking by looking at the key ideas, themes, and perspectives touched on by the material in Table 3. The objective here is to identify the basic ideas and give the user some idea of the alternatives available. If the user had run five iterations at the start of the project, the BimiLeap platform would have returned with five different types of tables. Each iteration is subject to this same analysis—making it possible to learn a great deal about the project by simply doing 5-10 iterations, obtaining different questions—which in turn serve as the raw material for the AI analyses. By running 5-10 iterations with different questions, etc., the user generates 5-10 analyses, covering a great deal of ground.

Table 4: AI’s critical analyses of the questions shown in Table 3.

Critical Analysis Continued — Looking at the Audiences

Table 5 shows the next step in critical thinking for the 15 questions generated in Table 3. The top of Table 5 shows the audiences who might be interested in the product. The bottom of Table 5 shows the audiences who might be opposed to the product.

Steps to Innovation — Alternative Viewpoints and a Search for What Might Be Missing

Table 5: Interested versus opposing audiences for the issues/products raised in the 15 questions in this iteration.

A key benefit of the AI embedded in Mind Genomics is in the ability of AI to look at alternative points of view. The top part of Table 6 moves the effort towards alternative viewpoints, suggesting neither acceptance nor rejection of the idea but rather moving in another direction. The bottom half of Table 6 shows what might be missing.

Table 6: Alternative viewpoints, which move the thinking “out of the box” (top), and the search for what might be missing (bottom).

Suggested Innovations and AI’s Deep Analysis of Each Innovation From Various Perspectives

The final AI analysis of its own ideas is shown in Table 7. In this specific study, AI emerged with four “ideas” for new products on its own. For each “idea,” AI presents an automated, fairly rigorous proposition, comprising the analysis and suggestions for further business consideration.

Table 7: AI’s own deep analysis of four innovations that the AI itself generated.

Discussion and Conclusions

AI and Mind Genomics offer a new and potentially great deal of value when it comes to creating a new cosmetic product, such as a lotion. By harnessing the power of artificial intelligence, companies can use advanced algorithms and data analysis to develop innovative and effective products that cater to the diverse needs of consumers. AI can pose relevant questions, provide insightful answers, analyze its own responses, and think “outside the box” to generate new ideas and solutions that may not have been considered otherwise.

One of the key advantages of involving AI in the product development process is its ability to become a true partner in the early stages of design. By inputting information about the physical properties of various ingredients, as described by consumers, AI can generate formulations that are tailored to specific preferences and requirements. This not only streamlines the product development process but also ensures that the final product aligns with the expectations of the target market.

Moreover, AI can play a crucial role in shaping the marketing strategies for the new cosmetic product. By analyzing consumer behavior, preferences, and trends, AI can help companies identify the most effective messaging, channels, and campaigns to promote the product and drive sales. This data-driven approach ensures that marketing efforts are targeted and relevant, maximizing the impact and reach of the product in the market.

Using AI and Mind Genomics thinking in creating a new cosmetic product may significantly enhance the ability to drive innovation, efficiency, and consumer relevance in a fast, cost-efficient, and iterative fashion. By integrating these advanced technologies into the product development process, companies can unlock new opportunities, optimize product offerings, and deliver exceptional value to consumers. Through strategic partnerships with AI as a coach that formulates questions, provides answers, and offers raw material, companies can accelerate product development, enhance marketing strategies, and ultimately achieve success in the competitive cosmetic industry [1-9].

Acknowledgments

The authors gratefully acknowledge the foresight of Dr. Nenad Filipovic to bring this approach of Mind Genomics to Serbia and to encourage its use among students and professionals, as well as to publish the results of papers in the scientific, technical, and business literatures.

The authors wish to thank Vanessa Marie B. Arcenas and Angela Louise C. Aton for their ongoing help in preparing this and companion papers in this series.

References

  1. Cooper RG, McCausland T (2024) AI and new product Res Technol Manag 67: 70-75.
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  3. Coussa A, Bellissimo N, Poulia KA, Karavetian M (2024) Use of Mind Genomics for public health and wellbeing: Lessons from COVID-19 pandemic. Adv Biomed Health Sci 3: 72-78.
  4. Davidov S, al Humaidan M, Gere A, Cooper T, Moskowitz H (2021) Sequencing the “Dairy Mind using Mind Genomics to create an “MRI of consumer ” In: Moskowitz H, Kover A, Papajorgji P, editors. New Advances in the Dairy Industry. IntechOpen.
  5. King K (2019) Using artificial intelligence in marketing: How to harness AI and maintain the competitive London: Kogan Page Publishers.
  6. Moskowitz HR, Gofman A, Beckley J, Ashman H (2006) Founding a new science: Mind J Sens Stud 21: 266-307.
  7. Ogundipe DO, Babatunde SO, Abaku EA (2024) AI and product management: A theoretical overview from idea to market. Int J Manag Entrep Res 6: 950-969.
  8. Papajorgji P (2023) Knowledge as a service: The case of Mind EuroMediterranean 19: 34-47.
  9. Verganti R, Vendraminelli L, Iansiti M (2020) Innovation and design in the age of artificial intelligence. J Prod Innov Manag 37: 212-227.

Rheumatoid Arthritis in the COVID-19 Era:Dual Frontiers of Viral Susceptibility and Immunomodulatory Therapeutics

DOI: 10.31038/MIP.2025611

Abstract

Coronavirus disease 2019 (COVID-19) is an infectious disease that caused by SARS-CoV-2. It affects multiple systems, patients with systemic lupus erythematosus (SLE) are known to be susceptible to COVID-19. Surprisingly, there is a certain correlation and similarity between these two diseases to some extent. In this study, we performed a systematic review of relevant studies published on PubMed from December 2019 to January 2023 from the aspects of the clinical features of SLE patients with COVID-19, the immunological similarities between COVID-19 and SLE, the prevention and therapeutic approach of SLE patients with COVID-19, and the impact of the COVID-19 pandemic on SLE patients. Our findings indicate that SLE patients at higher risk of COVID-19 infection than the general population, and SLE patients treated with glucocorticoids or immunosuppressants have a higher rate of hospitalization. Consequently, the use of immunosuppressants during COVID-19 infection in SLE patients is of concern and additional treatment approaches should be explored. Moreover, SLE patients with COVID-19 also face challenges in accessing healthcare, financial hardship, and psychological distress. These issues require further attention and can be addressed by providing telemedicine, ensuring adequate supplies of medicines and promoting psychological well-beings. Together, this article summarizes the correlation and similarity between SLE and COVID-19, and provides a detailed and practical guide for the prevention, treatment and nursing of SLE patients with COVID-19. Moreover, this article also discusses the fields that require further research and provide reference for the management of other autoimmune diseases in the case of viral infection.

Keywords

Systemic lupus erythematosus, COVID-19, Autoimmune disease, Systematic review

Introduction

Since its initial outbreak in December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induced coronavirus disease 2019 (COVID-19) has rapidly spread into a global pandemic, causing severe morbidity and mortality. It primarily affects the respiratory system but can also result in various extrapulmonary manifestations [1]. As of 29 January 2023, more than 753 million confirmed cases and 6.8 million deaths have been reported worldwide. It was found that COVID-19 and autoimmune diseases share many disastrous outcomes, including kidney damage, thus they interact with each other leading to more severe clinical symptoms [2,3].

Systemic Lupus Erythematosus (SLE) is a complex heterogeneous autoimmune disease caused by multiple genetic, immune, endocrine and environmental factors that can result significant morbidity and mortality. It is mainly associated with dysfunction of adaptive and innate immunity and is characterized by the production of autoantibodies, the formation of immune complex, and chronic inflammation [4]. Moreover, bacterial, viral and other opportunistic infections often lead to an increased risk of death in SLE patients [5,6]. Early reports from China, Europe, and the United States during the first wave of the pandemic suggested that the prevalence of COVID-19 in SLE patients was similar to the general population [7]. While with the deepening of research in the epidemiology of COVID-19 in SLE patients, recent evidence suggests that SLE patients may be at higher risk for severe COVID-19 infection compared with healthy controls [8]. Studies conducted in New York shows symptomatic COVID-19 prevalence of 4% in the Columbia University Lupus Cohort, which was higher than the 2% prevalence observed in the general population [9]. In a telemedicine survey of SLE patients in Italy, 12 out of 126 cases (7.5%) were confirmed or suspected cases of COVID-19, which is higher than the 2.5% incidence observed in the general population [10]. A survey in Spain reported that the incidence of confirmed and suspected COVID-19 cases among SLE patients was 7.5%, which was higher than the local population (1.9%) [11].

Lineage B coronaviruses, including SARS-CoV-2, mediate viral entry through the RBD region of the S protein through the interaction with ACE2 on cells, host proteases then cleave the S protein, releasing the spike-fusion peptide and allowing the virus to enter the cell [12]. Regarding the mechanism of higher COVID-19 incidence in SLE patients, patients with SLE tend to have higher levels of ACE2, and elevated levels of ACE2 are associated with an increased risk of developing SLE and its associated complications [13]. Oxidative stress induced by viral infection exacerbates lupus-associated DNA methylation defect, potentially leading to increased hypomethylation of ACE2 and increased viremia [14]. These findings suggest that the epigenetic dysregulation inherent in lupus may contribute to viral entry, viremia, and an exaggerated immune response to SARS-CoV-2.

In addition to the higher incidence of COVID-19 in SLE patients than that of in the general population, many investigators reported SLE patients present with mild to moderate symptoms of COVID-19. The use of immunosuppressants and steroids in SLE may be risk factors for developing severe COVID-19. Moreover, patients with other comorbidities are at increased risk of developing a severe clinical course and even mortality, thus the health management of such patients needs to be strengthened. Accordingly, the emergence and rapid global spread of the COVID-19 pandemic has raised multiple questions for rheumatologists regarding the risk of infection and the appropriate use of immunosuppressive drugs in SLE patients and other chronic Autoimmune Rheumatic Diseases (AIRD) [15].

The effect of COVID-19 on patients with SLE has been ongoing with the development of the pandemic. Understanding the relationship between SLE and COVID-19 is critical to identifying risk factors and developing strategies to reduce the risk of severe infection. On the one hand, viral infections can trigger disease flares in SLE patients, and there are concerns that COVID-19 may also contribute to disease activity in SLE patients. On the other hand, the presence of comorbidities and the use of immunosuppressive therapy may complicate the management of COVID-19 in SLE patients. The aim of this article was to provide a comprehensive overview of the current understanding of the relationship between COVID-19 and SLE, and provide insights that can guide clinical practice and highlight fields that require further research.

Methods

Search Strategy

A systematic literature search will be performed to identify studies relevant to this review. Using PubMed to retrieve relevant articles from December 2019 to February 2023. The following keywords will be used in the search: “COVID-19”, “SARS-CoV-2”, “systemic lupus erythematosus”, “autoimmune disease”, “immunomodulatory therapy”, “disease activity” and “treatment”. Our searches were limited to human studies and the language was limited to English. A two-stage search will be performed to identify relevant studies: an extensive search based on title and abstract was taken, followed by a full-text review to ensure compliance with the inclusion criteria.

Selection Criteria

The inclusion criteria for this review were as follows: studies on COVID-19 in SLE patient, including observational studies, mapping of relevant clinical data, and randomized controlled trials. The exclusion criteria for this review were as follows: studies not related to the relationship between SLE and COVID-19, studies not including SLE patients with COVID-19, and studies that were not available in English or in peer-reviewed journals, preprints, or other relevant sources.

Clinical Characteristics of COVID-19 in SLE Patients

Studies have reported that the common symptoms of COVID-19 infection in SLE patients include fever, cough, shortness of breath, anosmia and dysgeusia [11,16]. A study from New York City also noted that some patients developed gastrointestinal symptoms such as diarrhea [8]. These symptoms are not very different from those experienced by healthy people infected with COVID-19. In addition, a patient of SLE with COVID-19 could develop COVID-19–related varicelliform rashes, thrombotic events, leptomeningeal involvements and immune thrombocytopenia [17-19].

According to a nationwide study in Denmark, SLE patients are three times more likely to be hospitalized after contracting COVID-19 than the general population [20]. Two statistical studies conducted in France and the United States have demonstrated that the hospitalization rates of COVID-19 infected SLE patients were 82% and 59%, respectively, and more than half of them required oxygen therapy due to respiratory failure [8,21]. SLE patients with COVID-19 generally have mild or moderate disease, but some do require hospitalization and admission to the Intensive Care Unit (ICU). Moreover, a study from Brazil has revealed that patients with SLE had adverse outcomes twice as often as the general population without comorbidities, but had comparable risks to those with comorbidities [22]. Studies also shown that the poor outcome of COVID-19 infection in SLE patients may be attributed to the underlying features of SLE and the use of immunosuppressive medications. A cohort study by Solé et al. revealed that hypocomplementemia is a risk factor for severity, while the presence of anti-SSA/Ro52 antibodies may increase the susceptibility of SLE patients to COVID-19 [23]. Sakthiswary et al. collected case reports and found that lupus nephritis were patients more likely to experience severe to critical illness [24].

Due to their unique characteristics, both pediatric SLE and pregnant women with SLE have received extensive attention. The clinical presentation described in pediatric SLE population with COVID-19 might be similar to those in adults, characterized by increased work of breathing and low oxygen saturation [25]. In addition, case reports suggested that pediatric SLE is associated with reduced rates of hospitalization while pregnant women with SLE may experience mild symptoms such as difficulty breathing and joint pain after the infection [26-28]. However, evidence to date suggests no increased risk of severe disease in pregnant women and a low risk of vertical transmission or fetal distress [29-31].

Overall, the available evidence suggests that COVID-19 in SLE patients can exhibit a range of clinical features, with disease severity ranging from mild to severe. Given the high rate of hospitalization and disease severity among SLE patients after contracting COVID-19, better health management of this patient population is needed.

Shared Immunological Features of COVID-19 and SLE

Accumulating evidence suggests that COVID-19 and SLE share some common immunological features, which may contribute to the increased susceptibility of SLE patients to severe COVID-19. The similar immune disorders involved in SLE and COVID-19 patients were described below (Figure 1).

Figure 1: Shared immunological features of COVID-19 and SLE.

Table 1: Characteristics and outcomes of studies included in treatment and prevention.

Author

Study details

Conclusions

Martin Kolb et al., 2021

European Respiratory Society COVID-19 treatment guideline

Strong recommendations for oxygen therapy, anticoagulation and the careful use of corticosteroids.

RECOVERY Collaborative Group, et al., 2021

Controlled, open-label trial of COVID-19 patients from England

2104 patients in the study were treated with dexamethasone and 4321 patients received usual care. In hospitalized COVID-19 patients, treatment with dexamethasone resulted in reduced 28-day mortality in patients receiving invasive mechanical ventilation or oxygen alone, but not in those not receiving respiratory support.

WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group, et al., 2020

Meta-analysis of 7 randomized clinical trials totaling 1703 patients with COVID-19

Systemic corticosteroid treatment was related to lower 28-day all-cause mortality compared to conventional treatment or placebo.

Libster R, et al., 2021

Randomized, double-blind, placebo-controlled study (n=160)

COVID-19 progression is reduced by early administration of high-titer anti-SARS-CoV-2 plasma to mildly infected elderly patients.

Mason A, et al., 2021 Review

Prospective data collection and registration studies on the impact of vaccination on disease control in SLE, the prevalence of COVID-19 in SLE patients, and the severity of COVID-19 disease course would be beneficial.

Ugarte-Gil MF, et al., 2022

Multivariable ordinal logistic regression mode

Demographic factors, comorbidities, glucocorticoid use, and untreated or active SLE are significant determinants of more severe COVID-19 outcomes in patients with SLE.

Gendebien Z, et al., 2021 Systematic analysis

The dose of glucocorticoids was positively associated with hospitalization risk in SLE patients.

Tang W, et al., 2021 Review

SLE patients have a poorer immune response to SARS-CoV-2 vaccination than healthy controls, but the benefits far outweigh the risks in patients with SLE.

Furer V, et al., 2021

A multicentre study, patients with AIIRD (n=686) and general population (n=121)

The BNTb262 vaccine was found to be immunogenic in the majority of patients with AIIRD and had an acceptable safety profile. BNTb262-induced immunogenicity was significantly reduced by treatment with glucocorticoids, rituximab, MMF and abatacept.

Boekel L, et al. 2021

Patients with rheumatic diseases (n=3682) and healthy controls (n=1147)

The differences in seroconversion rates and antibody titers were similar between autoimmune diseases and the two main vaccine types, suggesting that immunosuppressive drug treatment, not underlying autoimmune disease, is the main factor affecting immunogenicity of the vaccine.

Izmirly PM, et al., 2022

Patients with SLE (n=90) and healthy controls (n=20)

In a multi-ethnic/multi-racial study of SLE patients, 29% had a poor response to COVID-19 vaccine that was associated with use of immunosuppressant therapy.

So H, et al., 2022

Single-center, prospective, observational study (n=65)

COVID-19 vaccines elicited satisfactory but impaired humoral responses in SLE patients versus controls, depending on immunosuppression and type of vaccination received.

Mehta P, et al., 2022 Review

Lupus patients are at a higher risk than the general population of becoming infected with COVID-19, resulting in hospitalization, serious illness, and death. COVID-19 vaccination is relatively safe for lupus patients, with a minimal risk of serious flare-ups.

Bartels LE, et al., 2021

Patients with RA or SLE (n=285)

The Pfizer-BioNTech BNT162b2 COVID-19 vaccine is reactogenic in patients with SLE and RA. Compared to healthy controls, reactogenicity was more frequent but not more severe in these patients.

Cherian S, et al., 2021

Follow-up visit of patients with RA (n=724)

Vaccine adverse events were no more common in AIIRDs than in non-AIIRD rheumatic and musculoskeletal conditions, and no serious side effects were observed in the overall population.

Esquivel-Valerio JA, et al., 2021

Patients with autoimmune rheumatic diseases (n=225)

The safety of various COVID-19 vaccines in patients with AIIRD has been supported by a number of results.

Moyon Q, et al., 2022 A prospective study (n=126)

Impaired BNT162b2 mRNA antibody response is independently associated with MMF, MTX and poor baseline humoral immune status, particularly low frequencies of naive B cells.

Ferri C, et al., 2021

An observational multicenter study (n=478)

Early, post-vaccination serum NAb determination may allow the identification of three main groups of patients with ASD: responders, suboptimal responders, non-responders. Patients at high risk of developing COVID-19 are those with weak/no seroconversion, who are presumed to be immune to SARS-CoV-2 infection.

Felten R, et al., 2021 Patients with SLE (n=696)

COVID-19 vaccination appears to be well tolerated in SLE patients with minimal or no risk of relapse, even after mRNA vaccination.

Immune Cell Dysfunction

Under normal circumstances, immune cells do not recognize self-antigens, but in patients with autoimmune diseases such as SLE, dysregulation of immune tolerance mechanisms or inflammatory signaling can activate auto-reactive immune cells, leading to immune malfunctions. Adaptive immune activation in patients with COVID-19 is manifested by dysregulation of T-cell numbers and function, as well as the production of antibodies, several of which are also seen in SLE patients. These are described in more detail below.

T cell dysfunction, including impaired Tregs and increased effector T cells, has been observed in both SLE and COVID-19, which may be responsible for prolonged infection and severe symptoms [32]. Th17 cells are members of the CD4+ T lymphocytes that produce pro-inflammatory cytokines, including IL-17 and IL-22. Studies have shown that increased amounts of Th17 cells and IL-17 cytokines in the blood of people with SLE are inversely correlated with the severity of this immune disease and its clinical outcomes [33]. In addition, elevated levels of IL-17A also play a role in COVID-19 patients, with elevated levels of IL-17A often predictive of more severe lung tissue damage. These results suggest immune cell dysfunction in both SLE and COVID-19 [34]. In conclusion, SLE and COVID-19 have almost the same dysfunction in immune cell function.

As one of the key elements of the innate immune system, NK cells exhibit cytotoxic activity and also play a critical role in the early response to viruses. Moreover, it acts as a proper coordinator between the adaptive and innate immune systems. NK cells were also affected in both COVID-19 and SLE patients, with decreased cytotoxicity and increased levels of CD56DIM/CD16NEG NK cells in COVID-19 patients and decreased levels of CD56DIM subpopulations in SLE patients [35,36]. The total quantity of NK cells in SLE patients is reduced, and the existing NK cells are less cytotoxic than normal NK cells [37,38]. A similar phenomenon has been demonstrated in COVID-19, where patients had reduced total NK and CD8+ T cells and exhibited an functionally exhausted phenotype [39-41]. The expression of CXCR3, a marker of CD56BRIGHT NK cells, is increased in COVID-19 [42]. In addition, a number of other innate immune cell disorders may also play an important role in COVID-19, including a decrease in eosinophils and an increase in DC and activated neutrophils in bronchoalveolar lavage fluid [12]. The present findings indicate dysregulation of immune cells, specifically natural killer cells, in COVID-19 and SLE patients. Alterations in the cells’ frequency and phenotypic ratio appear to be associated with distinct inflammatory pathways, revealing both similarities and dissimilarities in the immune mechanisms between the two diseases.

Cytokine Storm

Cytokine storm is an overproduction of cytokines with inflammatory activity caused by inflammation and is present in many infectious and non-infectious diseases. Both SLE and COVID-19 can trigger a cytokine storm, which is characterized by the excessive production of inflammatory cytokines that leads to widespread inflammation. This phenomenon typically originates locally and can spread rapidly throughout the body through the systemic circulation, which is a common feature of many infectious and non-infectious diseases [43]. In SLE, some cytokines are elevated, such as B-lymphocyte stimulator (BLyS), TNF-α, type I interferon (IFN-I), IL-17, IL-6 and IL-18, while the role of cytokine storms in the pathogenesis of SLE is much more limited than that of COVID-19 [44]. Cytokine storm is considered to be an important part of the pathogenesis of COVID-19 and is associated with severe symptoms such as acute respiratory distress syndrome (ARDS) [45]. Elevated inflammatory cytokines in COVID-19 patients include TNF-α, IFN-γ, IL-1β, IL-2, IL-6, IL-10, inducible protein 10 (IP-10), granulocyte macrophage-colony stimulating factor (GM-CSF), and monocyte chemoattractant protein-1 (MCP-1) [46,47]. In summary, although the specific cytokines involved in the inflammatory cascade are different, both SLE and COVID-19 can cause inflammatory cytokine storms.

Type-I Interferon

IFN-I has received extensive attention as one of the cytokines involved in cytokine storm. It is widely accepted that the IFN-I response plays a critical role in the development of both rheumatoid and viral infections. Upon infection with SARS-CoV-2, the immune system produces IFN-I [48]. SLE patients have been found to have a dysregulated IFN-I response, characterized by elevated IFN-α and decreased expression of IFN-stimulated genes (ISGs) [49]. In a COVID-19 cohort study, levels of IFN-α and ISGs were found to be positively correlated with both viral load and disease severity [50]. This suggests that high viral load may drive the production of these cytokines during severe infection. However, it should be noted that IFN-I do not appear to directly control viral replication or reduce viral load [51]. Individuals who are asymptomatic and negative for antibodies may exhibit a strong IFN-I response, suggesting intrinsic resistance to severe COVID-19 [52]. Studies have shown that IFN-I production is reduced in COVID-19 patients [53]. In an international cohort, loss-of-function variants in IFN-I signaling were found in 3% of life-threatening COVID-19 patients, and plasmacytoid DCs were unable to produce IFN-I in response to SARS-CoV-2 [54]. Therefore, it can be speculated that due to more efficient viral clearance, high titers of IFN-I in SLE patients may prevent the development of COVID-19 in these patients [55]. Although IFN-1 plays an important role in both SLE and COVID19, the relationship between the titer level of IFN-1 and the severity of the two diseases as well as the mechanism of IFN-1 action need to be further investigated.

Antibody Reaction

Anti-dsDNA autoantibodies are considered to be a diagnostic marker for SLE and can lead to systemic deposition of immune complexes, especially in the joints, vascular, and renal system [56,57]. Approximately 34.5% of patients with severe COVID-19 infection have been reported to have elevated levels of autoantibodies, such as Antinuclear Antibodies (ANA) [58]. Anti-phospholipid antibodies (APL), including Lupus Anticoagulant (LA), anti-cardiolipin (aCL), and anti-β2 glycoprotein (β2GPI), which are common in SLE, have also been studied in patients with COVID-19 and may be associated with thrombotic events [59-62].

Overall, these differences in immune responses may help to explain why SLE patients are at increased risk for severe COVID-19 and why the management of COVID-19 in SLE patients may require a different approach than the general population. Further research is needed to fully understand the interplay between these two conditions and their impact on the immune system.

Treatment of COVID-19 in Patients with SLE

General Treatment of COVID-19 Infection

Since the emergence of COVID-19 in Wuhan, China in December 2019, numerous treatments have been explored. To date, several therapeutic strategies have been implemented clinically and received positive feedback. The common treatments include: a) oxygen therapy, which improves the patient’s dyspnea [63]; b) symptomatic treatment, including the use of drugs such as acetaminophen or ibuprofen that relieve fever and pain; c) antiviral medication; such as molnupiravir which is an oral active RdRp inhibitor with anti-RNA polymerase activity that is being investigated for the treatment of COVID-19 patients [64,65], and remdesivir which is superior to placebo but still need various therapeutic approaches to improve its efficacy in COVID-19 patients [66]. d) corticosteroids, corticosteroids may reduce inflammation and improve respiration, especially in patients with severe disease [67]. However, it also suppresses the immune response, which may impede viral clearance [67]. Thus, the use of corticosteroids has been controversial, and ongoing clinical trials address this issue [68,69]. e) immunoglobulin therapy, which provides immediate antiviral humoral immunity [70]; f) convalescent plasma and monoclonal antibodies, which are based on immune-mediated viral clearance [71]. Convalescent plasma therapy is a promising treatment option for COVID-19 [72]. A series of cases in China demonstrates that infusions of convalescent plasma from COVID-19 worked better. The U.S. Food and Drug Administration (FDA) has also approved the use of recovery plasma as an emergency treatment for individuals with COVID-19 [73]. Only two adverse events were found in a randomized trial of 52 patients who received recovery plasma therapy [74]. Another study found that recovery plasma transfusions were safe in hospitalized COVID-19 patients [75]. These two reports confirm the safety of plasma transfusions during the recovery period. However, there are no standardization or evidence-based reasons for donor selection, recipient transfusion indications, or convalescent plasma quality control due to a lack of understanding of the exact mechanism and precise therapeutics of convalescent plasma [67]. g) monoclonal antibodies, which are based on immune-mediated viral clearance [71]. Several neutralizing SARS-CoV-2 monoclonal antibodies are currently being evaluated in clinical trials [76]. These antibodies target specific regions of the viral spike, mainly of the IgG1 subtype, and are characterized by a long half-life [76]. This suggests that these antibodies can be administered in a single infusion. However, the bioavailability of antibodies to tissues and organs affected by COVID-19 remains unknown [77]. The above described general treatment options can also be applied to patients with SLE; however, given the specificity of SLE disease and treatment, certain drugs should be used with caution during treatment.

Role of Immunosuppressive Therapy in the Outcomes of COVID-19 in SLE Patients

Immunotherapy is considered a pivotal component of the therapeutic regimen for COVID-19 infection, while careful dosing is required in patients with autoimmune disorders such as SLE when receiving immunosuppressive drugs. Numerous studies have shown that immunosuppressive drugs increase the risk of hospitalization in SLE patients. Both the Mason’s and Ugarte-Gil’s studies confirmed that SLE patients treated with corticosteroids and rituximab may experience more severe clinical symptoms after COVID-19 infection. It has also been observed that untreated and active SLE patients experience more severe COVID-19 outcomes [20,78]. Furthermore, glucocorticoid dose was positively associated with a higher risk of hospitalization in SLE patients [79].

Recently, immunosuppressants used in SLE patients have been found to increase the risk of COVID-19 by reducing COVID-19 vaccine response, but rarely develop into severe disease [80,81]. Another study found that immunosuppressants reduce the reactivity of COVID-19 vaccine by reducing the level of antibodies in humoral immunity and the number of CD8T cells in adaptive immunity in SLE patients, which further revealed the possible mechanism of immune response that immunosuppressants can increase the risk of COVID-19 infection in SLE patients [23].

Overall, the role of immunosuppressive therapy on COVID-19 outcomes in SLE patients remains unclear and require further investigation. The decision to continue or modify immunosuppressive therapy in SLE patients with COVID-19 should be individualized based on the patient’s disease activity, comorbidities, and severity of COVID-19 infection. Further research is needed to fully understand the relationship between COVID-19 and SLE, especially the long-term effects of COVID-19 on the activity and outcome of SLE.

Prevention of COVID-19 in Patients with SLE

SLE patients need to be educated about the risks of COVID-19, the importance of social distancing, and wearing a mask to reduce the risk of infection. Therefore, SLE patients should avoid unnecessary hospital visits to reduce their risk of exposure to COVID-19. Teleconsultations through telemedicine can help SLE patients receive medical care and advice without leaving their homes [10,82,83]. And SLE patients who are taking immunosuppressive therapy may require medication adjustments to balance the risk of COVID-19 infection and SLE activity.

Increase the Levels of Vitamin D in SLE Patients

SLE patients are often accompanied by varying degrees of vitamin D deficiency, so an appropriate increase in vitamin D level may be beneficial to improve the immune response level of SLE patients, thus reducing the risk of COVID-19 infection [84]. In addition, vitamin D can inhibit the release of cytokines in inflammation to reduce the risk of inflammation caused by the cytokine storm of COVID-19 [85,86], and stimulate the production of neurotrophic factors, e.g. Nerve Growth Factor (NGF) to prevent nerve sensory loss in COVID-19 [87]. The antiviral and antibacterial effects of vitamin D have been verified in a variety of other viral infections [88,89], which is beneficial for COVID-19 intervention in many ways. However, the determination of vitamin D supplementation and its dosage has not been studied and confirmed.

Vaccination Against COVID-19 in Patients with SLE

Vaccination against COVID-19 is strongly recommended for SLE patients, as they are at increased risk for severe illness and complications. However, statistics show that COVID-19 vaccination may cause severe immune thrombocytopenia [90]. Therefore, in the process of using vaccination to prevent COVID-19, it is necessary to pay close attention to the detection of some normal indicators in the body, including platelets, and to discuss the benefits and disadvantages of vaccination in SLE patients [20].

According to statistics, the vaccine has a certain protective effect on SLE patients. However, the immune response in SLE patients is not adequate [91]. In many studies, seroconversion rates were significantly reduced in SLE patients after vaccination compared with healthy controls [80,91-94]. Therapies used to treat SLE, especially prednisone and immunosuppressive drugs, including GC, methotrexate, MMF, and RTX, may be the mainstay of treatment to limit the immune responses to the SARS-CoV-2 vaccine, although the response may still be sufficient to achieve seroprotection [7,20,80,91,92]. However, studies have shown that hydroxychloroquine has no significant negative impact on post-vaccine antibody responses [20]. There is evidence that vaccines are potentially less harmful in SLE patients, with SLEDAI scores, anti-DSDNA antibodies, and C3 and C4 levels remaining similar in SLE patients before and after vaccination [20,80].

Although the vaccine provides some protection for patients with SLE and prevents the development of severe COVID-19 infection, there are still some side effects. The online survey by Bartels et al. explores the safety of the vaccine, including local side effects in the form of pain and swelling as well as common systemic side effects such as fatigue and headaches [95]. Other studies from the United States, the European Union, India, and Mexico have reported similar results [80,96-100]. Vaccines can trigger and erupt autoimmunity due to the adjuvants and viral proteins used in the manufacturing process [101]. Thus, more serious side effects include SLE onset and elevated aCL and β2GPI levels [20,102].

In conclusion, although some side effects and reduced antibody production may occur in SLE patients vaccinated against COVID-19, it is unlikely to cause an outbreak and the antibody response is likely to reach protective concentrations in the serum.

The Impact of the COVID-19 Epidemic on Patients with SLE

The COVID-19 epidemic has profoundly affected patients with SLE, who are at high risk for severe disease and associated complications due to immunocompromised state resulting from both the disease and immunosuppressive therapy [103]. IFN-I autoantibodies produced in SLE patients reduce the powerful antiviral effect of IFN-I and are thought to be a factor in severe COVID-19 pneumonia [104]. The pandemic has further disrupted the standard medical care provided to SLE patients, leading to delays in diagnosis, treatment, and monitoring [105,106]. During the early stages of the COVID-19 epidemic, hydroxychloroquine was widely considered to be therapeutically effective for the prevention and management of the disease. As a result, the drug has become scarce, leaving many SLE patients around the world in short supply [107-109]. In addition, social distancing measures have adversely affected the mental health and well-being of SLE patients, who may already be struggling with chronic disease-induced anxiety, depression, and sleep disorders [110,111]. Hence, it is critical to provide SLE patients with necessary assistance and resources during the ongoing pandemic, including telemedicine services, counseling for mental health, and the provision of personal protective equipment.

Discussion

The multifaceted relationship between COVID-19 and SLE is an ongoing study that includes investigations of immune interactions between SARS-CoV-2 and SLE hosts, as well as epidemiology, comorbidities, symptomatology, and the role of immunosuppressive therapies. This review provides several insights into clinical practice and future research directions.

Maintaining an SLE treatment regimen during the COVID-19 pandemic is critical to preventing disease flares and reducing the risk of SLE-related complications. Treatment approaches must be personalized, considering disease activity, comorbidities, and medication tolerance. Given that SLE patients are more susceptible to COVID-19, they must take additional steps to prevent infection, including maintaining social distancing, wearing a mask, and practicing thorough hand hygiene [112]. Prompt recognition and treatment of COVID-19 in SLE patients is critical to reducing the risk of severe illness and mortality [99]. Due to the unique nature of SLE, treatment of COVID-19 in SLE patients should be adjusted according to their disease severity, comorbidities, and medication use [78]. Furthermore, managing SLE and COVID-19 in these patients requires a multidisciplinary approach that should involve the expertise of rheumatologists, infectious disease specialists, and primary care physicians. Overall, effective management of concurrent SLE and COVID-19 demands meticulous consideration of the balance between SLE treatment and COVID-19 prevention. To ensure the best possible care for patients with these conditions, open communication between healthcare providers and patients is crucial.

Regarding clinical practice, managing SLE during the COVID-19 pandemic requires appropriate counseling and healthcare services, as well as promotion vaccination. In addition to precautions such as wearing a mask and maintaining social distancing, vaccinations are strongly recommended for people with SLE, although certain side effects may occur. Treatment of SLE patients, including glucocorticoids and immunosuppressants, may cause severe clinical symptoms and increase hospitalization rates after COVID-19 infection. Nevertheless, discontinuation of SLE-related medications during treatment of COVID-19 infection is not recommended as doing so may exacerbate SLE activity. In conclusion, the consensus guidelines from the European League Against Rheumatism (EULAR) and the American College of Rheumatology (ACR) recommend continuing the use of immunosuppressive drugs and minimizing corticosteroid use in SLE patients with suspected or unconfirmed COVID-19 infection.

Thus, a multidisciplinary approach should be adopted in treatment, with careful consideration of treatment options and medications. Furthermore, given the common immunological mechanisms of COVID-19 and SLE, further research is required to determine the optimal therapeutic strategies. While this article examines similarities in immune responses between SLE and COVID-19, the treatment for both diseases still primarily focuses on hormonal therapy for inflammation suppression. The dosage of hormones and other non-traditional treatment options should be evaluated on an individual basis. For SLE patients with COVID-19, polarization may occur, indicating that severe patients experience more severe symptoms, whereas mild patients have lighter lung inflammation and recover more quickly. The COVID-19 pandemic has brought many challenges, even psychological issues, to SLE patients. On the one hand, it is imperative to maintain SLE in remission to mitigate the risk of COVID-19 complications and high hospitalization rates. On the other hand, the mental health status of SLE patients during the pandemic requires further attention. Telemedicine and appropriate dissemination of health information can alleviate anxiety and depression in these patients. However, the rapid development of COVID-19 undermines the durability of the conclusions, some of which may become outdated over time. Therefore, this review has limitations.

Regarding future research directions, more high-quality studies are necessary to further explore the relationship between SLE and COVID-19, with a focus on elucidating the underlying mechanisms of the increased susceptibility to COVID-19 in SLE patients and the effect of COVID-19 on disease activity and flares in SLE patients. Longitudinal studies of large numbers of SLE patients may be required to better understand the relationship between SLE and COVID-19. Furthermore, more research is needed to evaluate the effectiveness and safety of various treatment options for COVID-19 in SLE patients, including determining the optimal timing and dosage of these treatments. In addition, it is essential to conduct further research and evaluation regarding vaccines.

Overall, the implications for clinical practice and future research directions point to the need for further investigation in this area to better understand the relationship between SLE and COVID-19 and to develop effective strategies to manage and treat these conditions simultaneously.

Authors’ Contributions

XC, CS, YG and GZ: Conceptualized, collected the data, performed the literature research and wrote the manuscript. XC, CS and YG: Prepared Figure 1 and critical revision of the manuscript. CS, BC, LX and HS: Participated in the design of the review and helped to draft the manuscript. GZ: Provided guidance and critical advice throughout the manuscript drafting, and help to revise the manuscript.

Funding

This research received no external funding.

Declarations

Ethics Approval and Consent to Participate

The manuscript does not contain clinical studies and patient data.

Consent for Publication

We confirm that this manuscript has not been published elsewhere and is also not under consideration by another journal. All authors have approved the manuscript and agree with the submission.

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Preparation and Clinical Analysis of Homemade Traditional Chinese Medicine Ointment

DOI: 10.31038/IMROJ.20251012

Formulation of Prescription

A relative’s heel pain was considered for treatment with traditional Chinese medicine, so this prescription was drafted. The pain lasted for about a month. X-ray shows bone spur formation. The degree of pain is relatively mild. Main prescription: 10 g Weilingxian, 10 g Chicken Blood Vine, 10 g Raw Paeonia lactiflora, 10 g Red Paeonia lactiflora, 10 g Bai Zhi, 10 g Red Flower, 10 g Salt Psoralea, 10 g Bone penetrating Grass, 10 g Dan Shen, 10g Vinegar Yanhusuo, 15g Wu Yao. Fang Yi: Weiling Xian and Bone penetrating Grass dispel wind and dampness, activate meridians and collaterals, and eliminate bone spurs; Red flowers, Danshen, and Chicken Blood Vine promote blood circulation, remove blood stasis, and activate meridians and collaterals; Raw Paeonia lactiflora,Red Paeonia lactiflora, and Bai Zhi: the liver governs tendons. Nourish blood and soften the liver, activate meridians and collaterals, strengthen the spleen and dry dampness, promote blood circulation and nourish tendons; Salt Psoralea, Wuyao, Vinegar Yanhusuo: Tonifying Liver and Kidney, strengthening muscles and bones, promoting qi and relieving pain. Overall prescription: liver and kidney are in harmony, nourishing the liver and kidney to strengthen muscles and bones; Qi and blood are in harmony.

Methods for Making Homemade Chinese Herbal Ointment

Material Preparation

  • Obtain 4 doses of the above prescription from Tongrentang Pharmacy in Hangzhou, and bean grinder (Little Bear brand) is used for the full formula powder
  • 500 ml white Vaseline, 200 ml aicao shengjiang essential oil, 9 ml peppermint oil, 30 ml eucalyptus

Production Steps

  • After soaking 3 doses of Chinese medicine powder for 3 days, fully decoct. After removing the residue, take about 300 ml of traditional Chinese medicine solution. Add about 200ml of aicao shengjiang essential oil to the traditional Chinese medicine solution, add 1 dose of traditional Chinese medicine powder and soak for one week, and then decoct again. After removing the residue, finally take about 400 ml of traditional Chinese medicine solution.
  • Add 500 ml Vaseline, 9 ml peppermint oil, and 30 ml eucalyptus oil to the traditional Chinese medicine solution, and mix Obtain a light yellow ointment preparation (Figure 1).
  • After the ointment is packaged, it can be stored at room temperature or

Figure 1: Light yellow ointment preparation.

Application Analysis

Removing Bone Spurs

Patients with bone spurs should first apply ointment and massage it 1-2 times a day; Secondly, soak feet in the same prescription of traditional Chinese medicine solution, about once every other day. The treatment has been ongoing for over a month, and it is tentatively determined that bone spurs are clinically ineffective.

Venous Inflammation

After the patient underwent a physical examination and had their blood drawn, there was a small bump in the area where the blood was drawn. In order to accelerate the rate of regression, the patient forcefully rubbed and kneaded it, but the result was severe redness, swelling, and pain, indicating local phlebitis. After trying to use homemade ointment for 2 hours, the pain disappeared and the redness and swelling area decreased by about 1/3. After applying the ointment again for 12 hours, the redness and swelling area basically disappeared (Figure 2).

Figure 2: A. Before applying the medicine; B. Applying the medicine; C. Two hours after applying the medicine; C Twelve hours after applying the medicine.

Heat Sores

Insufficient drinking water, dry weather, or excessive consumption of spicy foods can easily lead to heat sores on the lips or around the lips. After the patient develops hot sores on the lips, priority can be given to self-healing in order to avoid trouble. Persist for 3-5 days, with repeated pain\cracking\bleeding when he is chewing. After overnight treatment with homemade ointment, the pain disappears in the morning, the ulcer surface shrinks, and there is a tendency for healing. Then the patient recovered from the illness in 2 days, the treatment is effective (Figure 3).

Figure 3: A. Before applying the medicine; B. After applying the medicine.

Summary

This is made by the author out of interest in my spare time, with the main intention of exploring the methods of making ointment and observing their clinical efficacy. Both the methods of making ointment and the use of ointment for treating diseases still require continuous exploration. The production methods of ointment needs to be continuously improved to enhance its quality and efficacy. According to the prescription, the ointment can also be used for various diseases such as eczema, hemorrhoids, and frostbite, and its effectiveness still needs to be continuously verified clinically.

Author Contributions

CCY/LLC/XLZ: designed this work of article; YL/YLC: wrote the manuscript of this paper; QNY, and CCY: revised the manuscript; All authors approved the paper for publication.

Funding

Shanghai University of Traditional Chinese Medicine research project (No. Y2021085).

Acknowledgments

The authors gratefully acknowledge funding support.

The Evolution of Endogenous Uranium Ore Formation in Western Uzbekistan (Central Kyzylkum)

DOI: 10.31038/GEMS.2025731

Annotation

The article substantiates and schematically shows the vertical zonality in the structure of uranium deposits, as well as the mechanism of “overflow” of basement fractured waters into the aquifers of the platform cover. A geochemical model has been developed for the distribution and concentration of the main useful metals in the earth’s crust and the conditions for the formation of various types of endogenous uranium deposits in the Central Asian region.

Keywords

Central Kyzylkum, Uranium deposits, Ore Zonality, Postmagmatic processes, Geochemical model

Introduction

A large number of works are devoted to the problem of the geology of endogenous mineral deposits, at the same time, issues related to the patterns of formation of uranium deposits, in connection with the geochemical evolution of the earth’s crust, the development and restructuring of geological structures from the Precambrian to the Cenozoic, are considered in the works of only a number of scientists. Among them, the works of [1-16] who devoted their scientific works to the issues of metallogeny, geochemistry of black shales and the study of hydrothermal uranium deposits.

Metodology

An important, if not decisive, place in uranium ore genesis is given to the last stage of metamorphism, the processes of dynamohydrothermal metamorphism-metasomatosis. According to the time of manifestation, this is the stage of the latest Hercynian processes, in which they are distinguished according to the type of aqueous (hydrothermal) solution – hydrothermal and hydrothermal-metasomatic. The 1st type is characterized by a wide manifestation of postmagmatic processes with the formation of a range of near-ore alterations – greisenization, silicification, albitization with the appearance of brannerite-nasturan and quartz-tourmaline formations. 2nd type – hydrothermal-metasomatic, in which mineral parageneses are also distinguished according to the temperature interval. At the same time, as the temperature of hydrothermal solutions decreases, high-temperature mineral associations of uranium change and separation from magmatic satellites – lanthanides, Ta, Nb, Zr, and rare earths occurs. At the stage of hydrothermal ore formation, the separation of uranium and thorium also occurs. For medium- and low-temperature deposits, ore minerals of uranium are represented by oxides (nasturan, uraninite) and silicates (coffinite) of uranium. The average temperature of hydrothermal-metasomatic solutions forming pitchblende vein deposits is 1500C, and generally does not go beyond 200°C. The formation temperature of hydrothermal ores with uraninite is higher: 250-300°C [17,18]. Having carried out a number of calculations on the temperature and pressure of the formation of mineral paragenesis, taking into account the fact that in hydrothermal solutions the most common form of uranium migration is uranyl-carbonate complex compounds as Me4[UO2(CO3)3] or [Me2UO2(CO3)2 (H2O)2] – the main temperature intervals of migration of uranyl-organometallic complexes in solutions are given below (Table 1). The boundary between these types of solutions is accepted conditionally. The table indicates the most “developed” forms, which depending on the acid-base balance have one or another degree of migration.

Table 1: Distribution and Migration of Uranium in Solutions at Uranium Deposits of Central Kyzylkum.

Type  of aqueous solution

Temperature Ore Formation Migration Forms Stages of mineral formation Mineral parageneses Ore changes
Acid Leaching Carbonate Leaching
Acidic

рН≤4

Slightly Acidic

рН=4-5,5

Subalkaline

рН=5,5-6,5

Alkaline

рН>6,5

 

Hydrothermal

200-3000С

Brannerite- Pitchblende

Quartz-Tourmaline

Uranyl-Phosphate Uranyl-Hydroxyl

+ + + +

+ + + + +

+

crb+ep+amp±gr

qz+mu+fl+turm

qz+crb+sulf

qz+ab+mu

Silicification

Skarning

Greisenization

Albitization

Pyritization

Hydrothermal

Metasomatic

100-2000С

Fluorite – Pitchblende-Carbonate

Sulfide-Nasturan-

Coffinite

Uranyl-Carbonate Uranyl-Fluoride

+ +

+ + + + + + +

+ + + +

qz+ser+nast+mo

qz+ap+mu+chl

ab+qz+mu+bi+ank

Carbonatization

Silicification

Beresitization

Albitization

≤1000С

 

Quartz-Pyrite-Lamprophyr

Quartz-Carbonate-

Gold-Uranium

Uranyl-Carbonate

UranylSulfate

+

+ + + + +

+ + + +

crb+ser+qz+kaol

qz+pyr+act+chl

qz+crb+chl+ser

aln+qz+pyr+kaol

Carbonatization

Hematitization

Sericitization

Chloritization

Alunitization

Argillization

Symbols: The degree of dominance in the solution of certain uranium-containing complexes – ++++ wide, +++ significant, + + in some cases, + rare. Parageneses: qz: Quartz, crb: Carbonate, ep: Epidote, amp: Amphibole, gr: Garnet, mu: Muscovite, ser: Sericite, turm: Tourmaline, sulf: Sulfide, chl: Chlorite, pyr: Pyrite, aln: Alunite, bi: Biotite, nast: Pitchblende, mo: Molybdenite, ap: Apatite, ab: Albite, ank: Ankerite, act: Actinolite, kaol: Kaolin.

Marakushev [7,9] emphasized that the acid-base differentiation of metals is the main factor in ore zoning. During cation transport by acid solutions, metals with more alkaline properties migrate further than acidic ones and ore zoning is formed in the order of increasing alkaline properties of metals: Sn+W–Mo+Cu+Bi–Zn+Pb+Cd–Ca+Ba (cationic migration zoning). During anionic transfer, parageneses of ore metals are located in the reverse order – there is an increase in acidic properties (zoning of anionic migration). At the same time, the anionic form of migration in alkaline or hydrogen sulfide solutions is of primary importance for the transfer of metals over long distances. In particular, at the Dzhantuar deposit in carbonaceous-siliceous shales, we noted the following vertical zonality (Figure 1): the lowest – a zone of oxide pitchblende ores in association with sulfides (pyrite, sphalerite, molybdenite) is replaced upward by a zone of uranyl-vanadate with goethite and molybdenum and further uranyl-phosphate ores with alunite. The appearance of alunite indicates the maximum acidity of hydrothermal solutions. And finally, in the uppermost part of the ore zone, located in the aeration zone, secondary uranium minerals are localized – carnotite, otenite, thuyamunite. Such successive change from bottom to top of earlier mineral associations by later ones indicates the formation of uranium ores from ascending solutions (Figure 1).

Figure 1: Formation of Ore Zonality at the Jantuar Uranium Deposit.
Legend: Ores – 1. Sulfide, 2. Uranium-phosphate, 3. Uranium-Vanadate. 4. Folding. 5. Faults and direction of solutions. 6. Uranium deposit in the platform cover (Sandstone Type). 7. Ore Zoning: I-Oxide Zone, II-Zone of Oxidized Ores. Minerals of Aeration Zone: Carnotite, Otenite, Thuyamunite, Malachite, Calcite, Barite.

Results and Discussion

The mineralogical composition of uranium ores, paragenetic and mineral associations are always closely related to the nature of hydrothermal solutions and the lithological composition of host rocks. For the most common form of uranium migration, uranyl-carbonate, the temperature of the solution should not exceed 2000C, since its further increase leads to a decrease in the dissociation of carbon dioxide and a decrease in the chemical activity of the latter, which is fixed by the formation of carbonates (primarily ankerite). At temperatures above 2000C (250-3000C) hydrothermal uranium deposits with a high-temperature association – brannerite-nasturan or uraninite-pyrite can be formed. Often, brannerite mineralization is confined to exocontact hydrothermal-metasomatic halos (Kvartsevoe ore occurrence), and sulfide-nasturan mineralization is confined to similar halos located at a distance of up to 1 km from uranium-bearing sources (Madanli and Khodzhaakhmet deposits). An important problem is the vertical migration of ore matter from the depths of the Earth towards the surface, where the gas transport of ore metals is of great importance. In the deep parts, the fluids are strongly reduced, they are dominated by hydrogen and its compounds, but as they rise, the role of oxygen and oxygen compounds increases. [8]. Hydrothermal solutions or fluids migrating to the upper horizons from deeper geospheres are initially rich in halogens, especially chlorine and alkali metals, mainly sodium, copper, nickel and cobalt, silver and gold, platinoids, chromium (metals of the first group). The oxidation of fluids leads to the dispersion of these metals and the concentration of lead and zinc, with an intermediate stage of complex copper-lead-zinc mineralization, molybdenum, tin, beryllium, lanthanides, yttrium, uranium and other metals of the second group. It is these ratios, according to A.A. Marakushev, that determine the differences between the metallogenic features of the femic and sialic zones. A further increase in the oxidizing power of fluids leads to the formation of such metals as vanadium, titanium, yttrium, scandium, lanthanides, actinium, thorium, uranium and others (Figure 2).

Figure 2: Geochemical model of the distribution and concentration of ore elements and compounds in endogenous uranium deposits.
Legend: 1. Interfaces of the zone of concentration of elements of the 1st (I) and 2nd (II) groups. 2. Near-ore alterations – yellow skarning, blue pyritization. 3. Black Shale Strata, 4. Limestones, Dolomites. 5. Faults and directions of ascending fluids. 6. Granitoids. 7. Direction of growth of the oxidizing abilities of fluids. 8. A – Sulfide-Pitchblende Ores, B – Uranium-Rare Earth Ores.

At the end of the final stage of tectonomagmatic processes (post-folding stage), hydrothermal solutions, possibly genetically related to already intruded igneous rocks, moving along faults, interact with host rocks, creating fields of wall-rock alterations in them. By the time of formation, these solutions are postmetamorphic and appear locally. At the same time, if the solution does not absorb components that contribute to its dissolution and migration (alkalis, CO2, O2, SO42-), then uranium migrates in one or another mineral form, otherwise, fields of secondary changes appear in the enclosing regionally metamorphosed rocks , along which hydrothermal-metasomatic uranium mineralization develops. These superimposed processes include beresitization, carbonatization, albitization, sulfidization and silicification. Albitization produces well-known Rare-metal albitites containing Thorium and Uranium. As a rule, the intensity of uranium accumulation increases towards the end of the albitization process. At higher temperature processes, a concentration of uranium mineralization is also observed. During skarning, the forms of uranium occurrence depend on the presence of concentrating minerals, in which it is able to enter as an isomorphic impurity. In the case of high concentrations of rare-earth elements, uranium-rare-earth skarn deposits can even arise at the contact of alkaline rocks with limestones, where ore minerals are represented by accessory ones. At low concentrations of rare earth elements, with which uranium isomorphism is possible, uranium concentrations in skarns are low, and its localization occurs in cracks and intergranular space. Such a close relationship between uranium mineralization and skarnization is widely observed in the Zirabulak-Ziaetda SVK and, in part, in Auminzinsky and Vostochno-Bukantausky. In the processes of greisenization, an increased content of uranium in greisens is noted. Its main mass is deposited at the late stages of the greisen process in intergranular seams and microcracks. High concentrations of uranium (up to hundredths of a percent) were noted in gas-liquid inclusions [19]. This may indicate the enrichment of greisenizing solutions with uranium, as is observed at the Khodzhaakhmet ore occurrence in the Bukantau mountains.

Apparently, the first reason for this is the high temperatures of hydrothermal solutions (above 2000C), which makes uranyl-carbonate complexes easily soluble, although as the temperature decreases and carbon dioxide is simultaneously consumed for the formation of carbonates, supersaturation of solutions with uranium may occur with the formation of uranium-bearing carbonate metasomatites. The second reason is the blockage of porous permeable spaces when solutions move through them and an increase in the partial pressure of carbon dioxide, which also leads to an increase in the solubility of carbonate complexes. On the other hand, at high temperatures, the most common complexes will be uranyl-phosphate and uranyl-hydroxyl, creating the corresponding mineral paragenesis and ore formations. In the hydrothermal-metasomatic type of solutions, medium-temperature (fluorite-nasturanium-carbonate and sulfide-nasturanium-coffinite) and low-temperature (quartz-pyrite-lamprophyre and quartz-carbonate-gold-uranium) ore formations are formed with the corresponding parageneses and large-scale near-ore changes in host rocks. We note the almost complete prevalence of uranyl-carbonate complexes in this type of solution under neutral and subalkaline conditions. When hydrothermal solutions are separated from a magmatogenic source containing uranium, the latter can be carried out in the form of UF6 and form the UO2F2 compound, from which fluorite is formed, and part of the uranium in the composition of the uranyl-carbonate complex migrates to other favorable conditions for precipitation. The isolation of the quartz-pyrite-lamprophyre formation in endogenous uranium deposits is explained by the paragenetic relationship of uranium and the quartz-pyrite association in lamprophyre dikes, which often contain uranium mineralization (Dzhantuar, Kaskyr, Ingichke, etc.). H.M. Abdullaev noted that diabase and lamprophyre dikes can contain such syngenetic ore and accessory minerals as magnetite, pyrite, chalcopyrite, sphene, apatite, etc., paying attention to the nature of low-temperature hydrothermal alterations in dikes – epidotization and chloritization. The reason for this, apparently, is volatile lamprophyres in the dikes themselves, as pointed out by [1]. We noted that in the contact zone with alkaline lamprophyre dikes, uranium mineralization becomes more intense, and the thickness of the ore deposit increases.

Сonclusion

  1. The petrological and geochemical study of the pre-Mesozoic basement rocks of Western Uzbekistan showed the evolution of metamorphic processes in stages with the manifestation of progressive and regressive stages. An analysis of the development of epigenetic processes indicates that the most favorable criteria for the formation of endogenous uranium ore concentrations is a sharp change in the physicochemical and structural conditions for the formation of basement rocks in the final stages of the Hercynian tectonic-magmatic activation stage with the manifestation of regional and local metamorphism processes. The latter plays an important role in the formation of industrial gold and uranium mineralization.
  2. The evolution of uranium ore genesis in the parent rocks of the basement has been studied in detail. Acid-alkaline differentiation is the main factor in ore zoning, which is determined by the change of reducing solutions with Ni, Co, Cu, Cr, Pt, Ag, Au, and other conditions of dominance of oxygen fluids with Pb, Zn, Mo, V, Sc, Be, La , It, U etc. The successive change from bottom to top of earlier (uraninite, coffinite, pyrite, sphalerite) mineral associations by later ones (carnotite, otenite, tuyamunite) indicates the formation of uranium ores from ascending solutions, as is traced in carbonaceous-siliceous shales at the Jantuar deposit.
  3. Endogenous migration and localization of uranium occurred in the process of formation of zones of near-ore changes such as beresitization, sulfidization, silicification and others at relatively low temperatures of hydrothermal transformations (150 – 2500). Uranium in solutions migrated predominantly in the hexavalent form.
  4. The mineral forms of localization of basic metals – uranium, vanadium, selenium, rare earths, polymetals, etc. were studied. The ores of the deposits are very highly complex, which are characterized by the presence of colloidal, amorphous and amorphous minerals, which are excellent sorbents. Therefore, the latter contain significant amounts of metals that can be valuable for their industrial development.

References

  1. Abdullaev HM (1954) Genetic connection of mineralization with granitoid intrusions. Gosgeoltekhizdat.
  2. Betekhtin A.G. (1955). On the causes of the movement of hydrothermal solutions, their nature and processes of ore formation. In: Main problems in the theory of magmatogenic ore deposits. Publishing House of the Academy of Sciences.
  3. Domarev VS (1973) The role of metamorphism in the distribution of ore deposits. Problems of regional geology – Leningrad. VSEGEI. 191: 136-151.
  4. Rundqvist DV (1968) The pulsation hypothesis of S.S. Smirnov in the light of new data on the processes of ore formation – L. VSEGEI. 55: 46-66.
  5. Smirnov VI (1982) Geology of minerals. Nedra.
  6. Smirnov SS (1955) On the issue of zoning of ore deposits. Selected works. Publishing House of the Academy of Sciences.
  7. Marakushev AA (2005) Metamorphic petrology. Publishing house of Moscow State University. Pg: 256.
  8. Marakushev AA (2004) New model of formation of platform depressions // Problems of Ore Geology, Petrology. Mineralogy and Geochemistry – M. IGEM RAN.
  9. Marakushev AA (1979) Petrogenesis and ore formation. Nedra.
  10. Tugarinov AI (1983) Evolution of the earth’s crust and processes of ore formation. Nauka.
  11. Laverov NL (1986) Fundamentals of forecasting uranium ore provinces. Nedra.
  12. Lindgren W (1925) The Gel-Replacement – a new aspect of metasomatism. Nat. Acad. Sci. USA. 11.
  13. Bowie SHU, Some geological concepts for consideration in the search for uranium provinces and major uranium deposits. In uranium exploration geology (Vienna: IAEA, 1970). Pg: 285-300.
  14. Rich RA, Holland HD, Peterson U (1977) Hydrotermal uranium deposits. (Amsterdam: Elsevier).
  15. Routhier Р. Les disements metalliferes, volume 2 (Paris: Masson, 1963).
  16. Swanson VE (1961) Geology and geochemistry of uranium in marine black shales, a review. Pap. U.S. geol. Surv. 356-C: 67-112.
  17. Kotov EI, Timofeev AV, Khoteev AD (1970) Formation temperature of some hydrothermal uranium deposits. In: “Essays on geology and geochemistry of ore deposits”. Nauka.
  18. Naumov GB (1978) Fundamentals of the physical and chemical model of uranium ore formation. Atomizdat.
  19. Omelyanenko BI, Kozlova PS, Eliseeva OP, Simonova LI (1983) Local distribution of uranium in rocks and minerals as an indicator of its geochemical history. Nauka. 140-163.

A Comprehensive Review of Allergenic Proteins in Mycobacterium bovis and Their Role at the Human–Livestock Interface of Tuberculosis

DOI: 10.31038/IJVB.2025914

Abstract

Bovine tuberculosis (BTB) is endemic in cattle. BTB is caused by Mycobacterium bovis (M. bovis) Allergenic Proteins and has economic and public health significance. which has significant impact on the health of livestock and human. It has been significantly a cause for great economic loss in animal production. Associated risk factors contributed to the prevalence of the disease in cattle and its transmission. Moreover, the majority of cattle owners lack awareness about the disease and its public health significance. The presence of multiple hosts including wild animals, inefficient diagnostic techniques, absence of defined national controls and eradication programs could impede the control of bovine TB. Awareness rising about the disease, its transmission and zoonotic implication however, Bovine Tuberculosis in Human-Livestock-Wildlife Interface is not well studied in the country and there were no studies concerning the burden of the disease between human ,animal and wild life which is of great importance for reduction and control measures. This paper aims to review the potential health and economic impact of bovine tuberculosis control in order to safeguard human and animal population.

Keywords

Bovine tuberculosis, Human, Interface, Livestock, Wildlife

Introduction

The current information system does not provide the government with sufficient information on the incidence, prevalence and impact of zoonoses on society, thereby making it challenging to measure the returns on investments aimed at their prevention, management and control (ASL2020) There is a growing recognition of the importance of multi-species interaction for the emergence allergetic proteins and re-emergence of pathogens in wildlife, livestock and humans [1].

Human diseases being multi-host pathogens [2] and three-quarter of emerging human diseases being zoonotic [3], there is a strong public health interest in better understanding the dynamics of multi-species pathogens [4]. In other cases, the spill-over of domestic animal pathogens to wildlife caused severe outbreaks with great concerns for conservation, such as pasturellosis and Sierra Nevada outbreak in Bighorn sheep [5], rabies in wolves, and bovine brucellosis and tuberculosis in bison [6].

Bovine tuberculosis is one of the chronic bacterial diseases of animals that can take a variable amount of time (from a few weeks to a lifetime) to develop from infection to clinical disease and to become infectious to other animals [7]. The disease mostly affects cattle and rarely other species of domestic animals [8].

Mycobaterium bovis has an exceptionally wide range of mammalian hosts and affects all age groups of susceptible hosts of domestic, wild animals and human [9]. Cattle are the most common maintenance host for M. bovis infection from which transmission can occur to wildlife, or people from animals. Opossums, badgers and bison are known maintenance hosts in different European countries and American buffalo, Kudu, deer, lechwe and wild boar have been classified as maintenance hosts for M. bovis in Africa Many susceptible animals and wildlife species, including man are spillover hosts in which infection is not self- maintaining.

Moreover, the information on the epidemiology of the disease in wildlife-livestock- human interface is scarce and not well established at a national level.

Therefore, objectives of this paper is:

  • To review the epidemiological features of bovis in wildlife-livestock-human interface,
  • To highlight risk factors considered in studies conducted so far in wildlife.
  • To over view the diseases economic losses.

Epidemiology of Bovine Tuberculosis

Risk Factors in Cattle Allergenic Proteins

In overall prevalence of bovine tuberculosis the national estimate of 5.8 percent though available estimates vary widely. In the urban/peri-urban dairy systems, prevalence level ranging from 8.14 to 30 percent was reported. Bovine tuberculosis is also widely prevalent in the traditional production systems of mixed crop-livestock with values ranging between 1.6 percent and 22.2 percent and pastoral/agropastoral with values from 0.6 to 4.4 percent. In cattle, risk factors for bovine TB can be classified as animal level and herd level.

A. Animal Level Risk Factors

Bovine tuberculosis has been frequently reported in the from small-scale studies. Prevalence varies depending on the geographical areas, the breeds and the husbandry practices. Yet large areas in the country remain un-investigated and as data is lacking across the different geographical areas, breed and host species, husbandry practices and wildlife reservoir, it is not ease to make association with these risk factors [10].

Different authors reported ranges of prevalence rate based on abattoir based study. For instance reported 1.1% prevalence at Hawassa, reported 5.9% at Nekemte Municipality abattoir, reported 3.46% in Addis Ababa, reported 4.53% at Hossana, abattoirs and reported 5% prevalence of gross tuberculous lesion in camels slaughtered at Dire Dawa abattoir. Hiko and Agga, (2011) reported 4.2% abattoir prevalence of BTB in Mojo export abattoir base on gross lesions.

Prevalence in dairy farms with cross-breeds varying between 3.5% and 50%. Skin test prevalence in traditionally kept zebu cattle varies between 0.9-4% based on international used cut of value. Kiros, (1998) found that in Eastern Shoa of central local breeds had much lower prevalence rate 5.6% than exotic breeds (Holstein, 86.4%). found an individual animal prevalence of 7.9% using comparative intradermal tuberculin test (CIDT). Large scale study involving 5424 cattle carried out showed that the overall prevalence in cattle was 13.5%, with higher prevalence found in Holstein (22.2%) compared to local zebus (11.6%).

According to the study reports, higher bovine tuberculin reactivity was observed in animals with poor body condition as compared to those with good BCS. However, in cross-sectional studies, it is difficult to know the initial status of animals and this challenge to decide whether BTB has caused poor body condition in animals or animals with poor BCS are more susceptible to the disease. The real impact of BCS should be the subject of directed studies dealing with diet restriction.

In contrast to the above results, were found higher prevalence of the disease in animals with good body condition than poor body conditioned animals. On the other hand, during abattoir meat inspection animals, were found that animals with medium and good body condition were less likely to have tubeculous lesions than those with poor body conditions. Although it is not commonly reported in our country, physiological state of the animal is also considered as one of the animal risk factor this agree with Ameni & Erkuhin, (2007) were found significant variation in relation to reproductive status. This could be because animals lose sensitivity to tuberculin shortly before and after calving.

B. Herd Level Risk Factors

Risk factors at herd level are: herd size, types of farming practice and housing of cattle, geographical origin, history of bovine TB in the herd and human antecedent of tuberculosis in the household. in addition to this contact between animals and with wildlife reservoirs, introduction of cattle in a herd, herd movements and trading, lack of performance of diagnostic tests, the use of hired/shared bulls, manure and environmental persistence of M. bovis.

In were observed prevalence of M. bovis where both individual animal and herd prevalence were found higher in large and medium herd size as compared to small herds. According to literature, in some intensive dairy farms of our country, particularly in those having large herd size, the prevalence of the disease in individual animal and herd level could be rises up to (89.9%) and (100%) respectively.

Risk Factors in Wild Life Allergenic Proteins

Although no M. bovis infections have been reported in wildlife population so far, reports from different parts of the world have demonstrated several risk factors for the presence of the disease in wildlife. Direct contact or sharing of environment with domestic cattle, the extent of the disease prevalence within the region/country or domestic animal reservoir host, herd size (wildlife densities) and previous history of M. bovis in the wildlife populations are among the potential risk factors. The presence of the aforementioned animals in different wildlife reserves may have an epidemiological role in the spread of the disease among other wild and domestic animal [11].

On the other hand, as wildlife habitats are not fenced, there is intensive interaction between a fast-growing human population and livestock and wildlife competing for scarce grazing land. Wildlife and, in particular, herbivores sharing pastures with cattle might therefore be at risk for bovine TB transmission have reported that, in Amibara district of Afar pastoral region, domestic animal were sharing grazing land in close proximity with wildlife in the area where wild animals lives (in and around Awash National Park). This suggests that there is a possible exposure for potential risk of disease transmission to wildlife populations.

Risk Factors in Human

In prevalence rates for bovine tuberculosis in humans are lower than those reported in the literature. For both cattle keepers and consumers, prevalence is 0.006 percent in this study. The findings of the literature are varying between 0.41 and 24 percent, but are again based on different reference periods and small samples.The proportion of BTB to the total of TB cases in humans depends on the prevalence of the disease in cattle, socioeconomic conditions, consumer habits, practiced food hygiene and medical prophylaxis measures [12].

The main risk factors which contribute to the acquisition M. bovis infections in both urban and rural human populations are poverty, malnutrition, HIV infection, illiteracy, the consumption of raw milk (unpasteurized milk), uncooked or poorly cooked meat, work condition and close contact to livestock and using cow dung for plastering wall or floor.

Diagnosis

TB can be diagnosed clinically, but usually only in the later stages of the disease. The tuberculin skin test is universally recognized and is generally used for preliminary diagnosis in BTB control programs. However, in countries with low disease prevalence or disease free status, meat inspection is used for diagnosis and surveillance. Other tests, such as an antibody enzyme -linked immunoassay (ELISA) and the gamma interferon assay, have been used as supplementary tests in eradication and control [13]. Classical mycobacteria l culture remains the routine method for confirmation of infection.

Control of Tuberculosis

Control and eradication programs for BTB, human TB and zoonotic TB of humans due to M. bovis are based on early accurate detection and removal of infected animals, chemotherapy of infected humans and vaccination of target populations to attenuate or prevent the manifestation of the disease.

The test and slaughter policy is the basis for international BTB control and eradication programs using the TST to detect affected herds (and re – test) periodically and removing reacting cattle that may shed the infective organism. In many industrialized countries there are effective compulsory reporting of M.bovis infection of all animals, quarantine of infected herds, tracing and re- testing of animals in contact with BTB skin positive reactors. as well as movement restrictions of cattle herds not yet tested for TB as well as controlled animal movement out of known TB infected herds and endemic areas.

However, the test- and segregation program, a modified form of the test- and- slaughter policy, may be more useful for developing countries, where the test- and- slaughter policy cannot be practicable for the whole cattle population.Thus, interim measures to segregate infected herds and phased slaughter of reactors are done. In most countries with strict TB eradication programmers, the test- and segregation strategy made up the early stages followed by the test- and slaughter methods in the final stage (CFSPH, 2009) and infected slaughter /meat cases during inspection are traced back to the originating farms. Informed farm management decisions such as proper sanitation and disinfection are also important to reduce the spread of Mycobacterium, within and between herds as well as the risks of exposure and transmission of BTB infection to humans [14].

The occurrence of M. bovis in wildlife reservoir hosts complicates eradication efforts. Culling to reduce population density can decrease animal TB transmission but the situation must be assessed carefully to avoid unanticipated effects such as the economic benefit and increase scattering members of the infected species. The development of TB vaccines for wildlife reservoirs and use in situations where the test and slaughter policy is totally impracticable is also being considered as an alternative. Also, human TB due to M. bovis is rare in countries where raw and poorly cooked meat are not consumed and pasteurization of milk and milk products are components of BTB eradication programs. 

Allergenic Proteins Economic Importance of Tuberculosis

Mycobaterium bovis has been widely distributed throughout the world and it represents a very significant economic and public health problem in numerous countries in both developed and the developing world. Consequently, most developed nations have embarked on campaigns to eradicate M. bovis from the cattle population or at least to control the spread of the infection. In developed countries, although tuberculosis is eliminated in cattle, the disease still has a major economic impact, mainly due to the existence of a permanent wildlife reservoir that reduces the efficiency of control strategies. For instance, in the United Kingdom, where badger and other wildlife such as deer remain an important source of infection for livestock, approximately £100 million is spent annually in efforts to control the disease [15,16]. Republic of Ireland and New Zealand also spent approximately 35 and 13 million US $ annually for disease control. In Argentina, the annual loss due to bovine TB is approximately US$63 million. Although the disease has zoonotic threat, economic and financial burden to society, its cost has rarely been assessed and is largely unknown for Europe.

Animal tuberculosis is a disease of high economic relevance within the context of livestock farming as it directly affects animal productivity. The disease considerably reduces milk and meat production of infected animal and affect animal reproduction as well as it reduce pulling power in traditional farming system. Infected animal loses 10 to 25% of their productive efficiency. Direct losses due to the infection become evident by decrease in 10 to 18% milk and 15% reduction in meat production [17]. The culling loss is estimated to be 30–50% of the difference between the values of a dairy or beef breeding cow and its value at slaughter.

Moreover, national and international trade (market restrictions) and other economic sectors maybe indirectly affected by the disease. Tuberculosis has also an economical and financial burden to society human health costs. The disease become is an obstacle to socio-economic development: 75% of people affected by TB are within the economically productive age group of 15-54years. This may have a negative influence on the national economy [18,19].

The public health cost of bovine tuberculosis. The estimated total public health costs (USD PPP) of the disease among livestock keepers in all production systems and consumers are USD 74 740 696 and 12 781 597, respectively. This amounts to 0.05 percent of total GDP(ASL,2020) [20] (Table 1).

Table 1: Estimates of the annual public health costs of bovine tuberculosis.

The costs of bovine tuberculosis in livestock keepers to costs for the cattle sector by production system. Urban/peri-urban and commercial dairy sectors suffer the most in terms of loss incurred due to death of animals, reduced and foregone production amounting to USD 1 500 876 724 and 1 223 364 444 (PPP), respectively. The public health costs are higher in mixed croplivestock and pastoral/agro-pastoral cattle production systems, largely due to their sheer sizes. The estimated monetary cost of the disease in animals accounts for 98 percent of the total loss caused by the disease (FAO,2017a) (Table 2).

Table 2: Annual costs of bovine tuberculosis in humans and cattle in different production systems.

Although the economic importance and public health significance of tuberculosis has been established in many countries, the economic impact of M. bovis on cattle productivity, bovine TB control programmes and other related economic effects of the disease are not yet well documented or studied.

Only few meat inspection surveillances in the abattoirs have shown the economic loss due to condemnation of total or partial carcass and organs. According to Gezahegne, (1991) a report from eight export abattoirs showed a prevalence of 0.8% (978/144 487) of slaughtered animals, in which the whole carcasses of the infected animals were condemned. Asseged also demonstrated that, based on the ten years retrospective allergetic proteins analysis of the detection of tuberculous lesions in the Addis Ababa abattoir, there was a cause of 0.028% for whole carcass condemnation. Furthermore, study results of Shitaye conducted in Addis Ababa and Debre-Zeit abattoirs35indicated that causes condemnation of carcasses and/or organs due to tuberculous lesions found to be highly significant economically.

According to the study reports, a prevalence of 0.052% and 0.001% was observed in cattle and shoats respectively, and causes the whole animal’s carcass condemnation. Mycobacterium bovis infections in wildlife can affect the ecosystem: moreover, the disease constitutes a threat to endangered species and can hamper BTB eradication and control schemes in domestic cattle.

Tuberculosis at the Human-Livestock-Wildlife Interface

Diseases transmitted between humans, domestic animals, and wildlife are increasingly challenging public and veterinary health systems. Three -fourths of all emerging infectious diseases (EIDs) of humans are zoonotic with most originating from wildlife reservoirs. Therefore, diseases that arise from the livestock–wildlife interface are of paramount importance and must be an area of focus for public and veterinary health systems. Despite this importance, cross-species transmission is one of the least studied aspects of disease ecology.

BTB infections may be maintained (independently or not) within livestock populations and within wildlife populations, whereas human infections allergetic proteins result from pathogen spillover from animals , and very rarely from human-to-human transmission.

Factors associated with BTB spillover from livestock to wildlife should also influence BTB spillback from wildlife to livestock. The main risk factors are thus linked with allergetic proteins: (i) the type of interface (fence, herding practices) and the distribution of resources (water and grazing), which directly influence contact patterns between livestock and wildlife the environmental conditions, which directly influence the persistence of BTB in the environment. In this wildlife–livestock–human interfaces husbandry practices (housing, mixing cattle with small ruminants), food preferences (consumption of raw milk) and overall health and hygienic conditions are identified as the main BTB risks of transmission between livestock and humans. The complex and dynamic interactions involving domestic animals, wildlife, and humans create environments favorable for the transmission of infectious diseases across different species (Figure 1).

Figure 1: Interspecific transmission of BTB at wildlife–livestock–human interfaces.

Mycobacterium bovis is an example of a pathogen shared at the human–livestock–wildlife interface. In East Europe humans encroach into allergetic proteins wildlife habitats with their livestock in search of grazing areas and water, particularly during the dry season. Wildlife species that share resources with pastoralist livestock may influence the prevalence of bTB in cattle by having direct or indirect contact (i.e., ingestion of contaminated pastures) with cattle. More studies are required to better understand the effects of interactions between ecological and animal management risk factors in multi-host communities.

The list of wildlife species around the world from which M. bovis has been isolated is long and reports in the literature of new susceptible species have increased in recent years. Some wildlife species have long been known to be maintenance hosts (i.e., wildlife species that can maintain the disease in the absence of infected cattle). The maintenance hosts are a source of infection for livestock and can also be described as a source for BTB in humans that have close contact with infected animals, such as hunters and game farmers.

However, intermediate species such as impala, kudu and warthog (Phacochoerus africanus), which are less affected by livestock presence, could play a role as disease ‘vector’ by having close physical contact with BTB buffalo reactors, that stay within the park, and with livestock in the agricultural land outside the park.

Common use of pastureland is another potential risk for BTB transmission between wildlife and livestock. Mainly wildlife grazer species (as opposed to browser species) are likely to compete with cattle. There seems to be a species-specific tolerance level for cattle presence. Many grazer species favor grazing in old pastoral places where grass cover is rich due to the cattle manure.

Conclusion and Recommendations

The prevalence of BTB is reported to be high similar to other developing countries. However, no studies concerning the burden of the disease in wildlife and human beings were undertaken and this indicates that BTB is not well studied in the country. Human-livestock-wildlife interaction is dynamic. There are no sufficient studies clearly indicating the role of humans, livestock, wildlife and their environment with respect to the transmission dynamics of Mycobacterium bovis in the pastoral areas. Widespread evidence of M. bovis infection in animals and humans should be an alarm sign for medical and veterinary health professionals and government bodies allergetic proteins. This illustrates the importance of the ‘One Health Concept’ that can bring together medical and veterinary practitioners as an important tool to fight diseases of public health and economic importance. Therefore, from above conclusion, the following recommendations forwarded;

  • Detail studies concerning the burden of the diseases in wildlife, livestock and human beings should be undertaken.
  • Further studies investigation the epidemiology of NTMs circulating between humans, livestock and wildlife in order to point out and address the possible measures in diseases.
  • More research in identifying the role played by Mycobacterium. Tuberculosis transmission in animals, humans and wild life.

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