Different vitiligo characteristics as predictors of increased risk of metabolic syndrome and insulin resistance: A case-control study

Risk factors for cardiovascular diseases in patients with vitiligo: an analysis of current evidence

OBJECTIVE

The relationship between vitiligo and cardiovascular diseases remains controversial. This study aimed to systematically review the evidence comparing cardiovascular disease risk factors between patients with vitiligo and controls and to perform a meta-analysis of the results.

DATA SOURCES

A comprehensive database search was performed for all studies in PubMed, EMBASE, and Cochrane Central Register databases from inception to November, 2023. The main keywords used were vitiligo, hypertension, diabetes, hyperlipidemia, metabolic syndrome, obesity, smoking, alcohol consumption, C-reactive protein, and homocysteine.

STUDY SELECTION

Only observational studies and no randomized controlled trials were included. Of the 1269 studies initially selected, the full texts of 108 were assessed for eligibility, and 74 were ultimately included in the analysis.

DATA EXTRACTION AND SYNTHESIS

Three reviewers independently extracted the following data: study design, number and characteristics of participants, inclusion indicators, and disease duration. A meta-analysis of the single-group rates was performed for the diabetes, hypertension, hyperlipidemia, and obesity groups. Random-effects or fixed-effects models were used to calculate the sample-size weighted averages for the indicators included in the studies.

MAIN OUTCOMES AND MEASURES

The primary outcomes were co-morbidity analysis and co-morbidity rates of vitiligo with metabolic syndrome, obesity, hyperlipidemia, hypertension, and diabetes mellitus. Secondary outcomes were factors associated with vitiligo and cardiovascular disease.

RESULTS

This meta-analysis concluded that comorbidities in patients with vitiligo included metabolic syndrome, diabetes, obesity, hyperlipidemia, and hypertension, with comorbidity rates of 28.3%, 6.0%, 38.5%, 43.0%, and 15.8%, respectively. Simultaneously, we showed that the vitiligo group differed significantly from the control group in the following aspects: fasting blood glucose, insulin, systolic and diastolic blood pressure, total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein, homocysteine, C-reactive protein, smoking, and alcohol consumption. However, no significant differences were observed between the vitiligo and control groups in terms of waist circumference, body mass index, or phospholipid levels.

LIMITATIONS

The vast majority of the studies were from Eastern countries; therefore, extrapolation of these results to Western populations is questionable. The significant heterogeneity may be due to different protocols, doses, durations, center settings, population registries, etc., which severely compromise the validity of the results.

CONCLUSION

This study summarized not only the factors associated with, but also those not associated with, cardiovascular disease in patients with vitiligo. This study provides a foundation for the prevention and treatment of cardiovascular disease in patients with vitiligo.

Exploring the Role of Adipose Tissue Dysregulation in Vitiligo Pathogenesis: A Body Composition Analysis

Vitiligo is a commonly acquired pigmentary disease characterized by the progressive destruction of melanocytes. The role of adipose tissue in vitiligo remains unclear. To investigate the role of adipose tissue in the pathogenesis of vitiligo, 50 patients newly diagnosed with vitiligo and 40 age- and sex-matched healthy controls were enrolled, and fat mass and distribution using dual-energy X-ray absorptiometry (DXA) and serum adipokine levels using enzyme-linked immunosorbent assay were assessed. The trunk and whole-body fat mass and the trunk/limb fat mass ratio were significantly higher in patients with vitiligo. Higher leptin and resistin levels and lower adiponectin levels were observed. Positive correlation of the trunk fat mass index with vitiligo area scoring index scores (r = 0.38, p = 0.0071) was found. Additionally, plasma adiponectin levels were negatively correlated with vitiligo disease activity scores (r = -0.307, p < 0.05). Receiver operating characteristic curve analysis showed that the percentage of limb lean tissue mass, trunk/limb fat mass ratio, and serum adipokine levels achieved a high area under the curve score for distinguishing patients with vitiligo from healthy controls. In conclusion, the incidence of central obesity and adipokine dysregulation was higher in patients with vitiligo. The potential role of adipose tissue in the pathogenesis of vitiligo should be emphasized.

Prevalence of co-existing autoimmune and autoinflammatory diseases in vitiligo: a survey-based study from Egypt

BACKGROUND

The exact cause of vitiligo is still unknown. Genetic factors, self-destruction of melanocytes, the autoimmune process, and oxidative stress all can contribute to the pathogenesis of vitiligo.

OBJECTIVES

The aim of this study was to figure out the frequency of coexisting autoimmune and autoinflammatory diseases (AIIDs) in Egyptian patients with vitiligo and identify the associated risk factors.

MATERIALS AND METHODS

Egyptian children and adults with vitiligo and their parents were asked to answer a web-based survey. The survey consisted of multiple questions centered around demographic, clinical, and therapeutic data. The vitiligo disease activity (VIDA) score was evaluated for all the patients. Patients were also asked about the presence of co-existing AIIDs.

RESULTS

There was a total of 294 participants, mostly females (54.8%), with a median age of 35 years and a median disease duration of 9 years. Nearly 27% had at least one AIID. The most common associated AIIDs were autoimmune thyroid disease (47 patients, 16%), followed by alopecia areata (14 patients,4.8%), then psoriasis and rheumatoid arthritis (11 patients, 3.7%). Univariate regression analysis revealed that age (OR 1.02, P = 0.036), female gender (OR 2.2, P = 0.004), disease duration (OR 1.04, P < 0.001), affected body surface area (OR 1.7, P = 0.048), and family history of AIIDs (OR 2.7, P < 0.001) were predictors for the presence of AIIDs in patients with vitiligo.

CONCLUSION

AIIDs are prevalent among vitiligo patients. Age, female gender, and family history of AIIDs are the main predictors of the presence of AIIDs in vitiligo patients.

Diabetes, glycemic profile and risk of vitiligo: A Mendelian randomization study

BACKGROUD

Previous observational studies have shown that vitiligo usually co-manifests with a variety of dysglycemic diseases, such as Type 1 diabetes mellitus (T1DM) and Type 2 diabetes mellitus (T2DM). Mendelian randomization (MR) analysis was performed to further evaluate the causal association between fasting plasma glucose, glycosylated hemoglobin (HbA1c), T1DM, T2DM and vitiligo.

MATERIALS AND METHODS

We used aggregated genome-wide association data from the Integrative Epidemiology Unit (IEU) online database of European adults vitiligo; HbA1c data were from IEU. Fasting blood glucose data were obtained from the European Bioinformatics Institute (EBI). T1DM and T2DM data were from FinnGen. We used bidirectional two-sample and multivariate MR analyses to test whether dysglycemic measures (fasting blood glucose, HbA1c), diabetes-related measures (T1DM, T2DM) are causatively associated with vitiligo. Inverse variance weighting (IVW) method was used as the main test method, MR-Egger, Weighted mode and Weighted median were used as supplementary methods.

RESULTS

We found no statistically significant evidence to support a causal association between dysglycemic traits and vitiligo, but in the correlation analysis of diabetic traits, our data supported a positive causal association between T1DM and vitiligo (p = 0.018). In the follow-up multivariate MR analysis, our results still supported this conclusion (p = 0.016), and suggested that HbA1c was not a mediator of T1DM affecting the pathogenesis of vitiligo. No reverse causality was found in any of the reverse MR Analyses of dysglycemic traits and diabetic traits.

CONCLUSIONS

Our findings support that T1DM is a risk factor for the development of vitiligo, and this conclusion may explain why the co-presentation of T1DM and vitiligo is often seen in observational studies. Clinical use of measures related to T1DM may be a new idea for the prevention or treatment of vitiligo.

Potential implication of serum lipid levels as predictive indicators for monitoring oral lichen planus

Compelling evidence indicates that dyslipidemia is positively associated with oral lichen planus (OLP). The types and magnitude of lipid metabolism disturbance in peripheral blood of OLP patients have been investigated in different studies. Yet, consensus on how these different lipid components varied in levels for the development of OLP lesions has not been reached so far. Herein, a total of 8 eligible studies were recognized, which enrolled 533 cases of OLP and 499 healthy controls. The analysis showed that the average total triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) levels were considerably higher, and high-density lipoprotein cholesterol (HDL-C) levels were significantly lower in OLP patients compared to healthy controls. Collectively, the lipid profile panel maybe serve as the potential predictive indicator for screening OLP.

Dietary habits in adult Japanese patients with vitiligo

Vitiligo is an autoimmune skin disease with acquired depigmentation. Dietary habits may modulate the pathogenesis of vitiligo. We evaluated dietary habits in adult Japanese patients with nonsegmental vitiligo, and compared their results with those of age- and sex-matched controls. We also examined the relationship between dietary habits and Vitiligo Area Scoring Index (VASI), or vitiligo on different anatomical sites. The intakes of energy, nutrients, and foods in the participants were analyzed using a brief-type self-administered diet history questionnaire. Patients with vitiligo showed higher body mass index (BMI) and lower intakes of manganese, vitamin D, pulses, and confection, compared with controls. Multivariate logistic regression analysis showed that vitiligo was associated with high BMI. VASI was higher in males than in females, and negatively correlated with age or intakes of potatoes and vegetables other than green/yellow vegetables. Linear multivariate regression analysis showed that high VASI was associated with younger age. Multivariate logistic regression analysis showed that moderate to severe vitiligo (VASI ≥ 4.25) was associated with male sex and longer disease duration. Multivariate logistic regression analyses showed the following association with vitiligo on respective anatomical sites: high intake of eggs and dairy products and high VASI on the head or neck, high intake of oils and fats and high VASI on the trunk, high intake of cereals and high VASI on the upper limbs, male sex and high VASI on the lower limbs, and high BMI and high VASI on the hands or feet. In conclusion, the control of obesity might have prophylactic or therapeutic effects on vitiligo.

Circadian clock gene expression and polymorphism in non-segmental vitiligo

BACKGROUND

Vitiligo is an acquired and progressive mucocutaneous disease with the damage of functioning epidermal melanocytes. Metabolic syndrome is associated with inflammatory skin diseases incorporating vitiligo. The circadian dysfunction triggers the pathogenesis of metabolic diseases, so our study aimed to determine the relationship between aryl hydrocarbon receptor nuclear translocator-like gene, a ligand-activated transcription factor and sensor of environmental chemicals, expression and polymorphism with non-segmental vitiligo, as well as its effect on lipid profile.

METHODS

This case-control study was handled on 50 non-segmental vitiligo patients (generalized (12) and localized type (focal; 24 and acrofacial; 14)) and 50 matched controls. Each subject was proposed for full history taking, clinical examinations, serum lipid profile, and measurement of BMAL1 gene expression in the blood, and BMAL1 rs2279287 polymorphism of DNA extract from whole blood by real time-PCR.

RESULTS

We identified that total cholesterol, triglyceride, and low-density lipoprotein were significantly higher, but high-density lipoprotein was significantly lower in non-segmental vitiligo patients than in the control group. A significant increase in circadian gene expression in non-segmental vitiligo patients was observed, with more detection of the BMAL1 T/C genotype (92%) than the T/T genotype. There was a significant positive relationship between the level of the circadian gene and the vitiligo patient's age, age of onset, and VIDA Score. The level of the circadian gene at Cutoff  ≥ 1.16 can predict the prognosis of vitiligo with a sensitivity of 78%, specificity of 84%, and accuracy of 81%.

CONCLUSION

The circadian gene has an active role in the progress of non-segmental vitiligo and targeting this gene could have a significant impact on its management.