A survey study of self‐reported comorbidities among adults with vitiligo in the United States

Ezzedine, Khaled; Anastassopoulos, Kathryn; Gandhi, Kavita; Daniel, S.; Yamaguchi, Yuji; Sikirica, Vanja; Pandya, Amit G.

doi:10.1002/jvc2.111

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…A recent prospective cross-sectional survey found that those with vitiligo were 2.6 times more likely to have at least one autoinflammatory/autoimmune comorbidity when compared to non-vitiligo groups. 25 Physicians must be aware of, identify, and treat additional complications in vitiligo patients to improve patient QoL. Herein, we review evidence and insight for the most frequent comorbidities associated with vitiligo.…”

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confidence: 99%

Shining a Light on Vitiligo and Associated Comorbidities: What Is the Evidence?

Desai¹,

McCormick²,

Sodha³

et al. 2023

JDD

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confidence: 99%

Shining a Light on Vitiligo and Associated Comorbidities: What Is the Evidence?

Desai¹,

McCormick²,

Sodha³

et al. 2023

JDD

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“…Research has demonstrated that AD is an independent risk factor contributing to the onset of MDD, indicating a correlation between the occurrence of AD and MDD (Vinh et al, 2023). Considerable research has been devoted to elucidating the interplay between the immune system and conditions such as MDD and AD (Ezzedine, Soliman, Li, Camp, & Pandya, 2023;Park, Jang, An, Choo, & Kim, 2020;van der Leek et al, 2020). Researchers have uncovered compelling links between MDD and the immune system.…”

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confidence: 99%

The role of immune inflammatory response and inflammatory infiltrates in major depression disorder and atopic dermatitis: new insights from machine learning

Jiang,

Gong,

Yao

et al. 2023

Preprint

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Background: Major depression disorder (MDD) and atopic dermatitis (AD) are distinct disorders involving immune inflammatory responses. This study aimed to investigate the comorbid relationship between AD and MDD and to identify possible common mechanisms. Methods: We obtained AD and MDD data from the Gene Expression Omnibus (GEO) database. Differential expression analysis and the Genecard database were employed to identify shared genes associated with inflammatory diseases. These shared genes were then subjected to gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Hub genes were selected based on the protein-protein interactions using CytoHubba, and key regulatory genes were identified through enrichment analysis. Subsequently, we conducted immune infiltration and correlation analyses of the shared genes in AD. Finally, we employed three machine learning models to predict the significance of shared genes. Results: A total of 17 shared genes were identified in the AD_Inflammatory_MDD dataset (S100A9, PTGER2, PI3, SNCA, DAB2, PDGFA, FSTL1, CALD1, XK, UTS2, DHRS9, PARD3, NFIB, TMEM158, LIPH, RAB27B, and SH3BRL2). These genes were associated with biological processes such as the regulation of mesenchymal cell proliferation, mesenchymal cell proliferation, and glial cell differentiation. The neuroactive ligand-receptor interaction, IL-17 signaling, and Rap1 signaling pathways were significantly enriched in KEGG analysis. SNCA, S100A9, SH3BGRL2, RAB27B, TMEM158, DAB2, FSTL1, CALD1, and XK were identified as hub genes contributing to comorbid AD and MDD development. The three machine learning models consistently identified SNCA and PARD3 as important biomarkers. Conclusion: SNCA, S100A9, SH3BGRL2, RAB27B, TMEM158, DAB2, FSTL1, CALD1, and XK were identified as significant genes contributing to the development of AD and MDD comorbidities. Immune infiltration analysis showed a notable increase in the infiltration of various subtypes of CD4+ T cells, suggesting a potential association between the development of skin inflammation and the immune response. Across different machine learning models, SNCA and PARD3 consistently emerged as important biomarkers.

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Vitiligo – a disease: A position paper on stigmatization, life quality impairment and psychosocial comorbidity

Böhm,

Sommer,

Gieler

et al. 2024

J Deutsche Derma Gesell

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SummaryVitiligo is a common disorder characterized by the visible loss of skin pigmentation. Non‐segmental vitiligo (NSV) is the major subtype. The disease is caused by autoimmune‐mediated destruction of melanocytes. Vitiligo leads to stigmatization and a significant reduction in quality of life. Disregarding the psychosocial burden, vitiligo is sometimes viewed solely as a cosmetic problem and, according to a global survey, is diagnosed on average only after 2.4 years. This delay contributes to a considerable burden of disease, including suicidal ideation. Stigmatization promotes the development of psychological comorbidities such as anxiety and depressive disorders, with prevalence rates varying by country and study (0.1%–67.9%). Data for Germany are heterogeneous and largely based on estimates. Due to psychosocial factors, the inflammatory component, and a higher incidence of somatic comorbidities, NSV may be regarded as an inflammatory systemic disease. We recommend optimizing care by incorporating the assessment of quality of life as a standard in routine care, in addition to monitoring disease activity. Moreover, early screening for psychological comorbidities is crucial to initiate appropriate treatment before the condition becomes chronic and cumulative (irreversible) impairments occur. The goal is a personalized and patient‐centered integrated care approach that sustainably improves the health status of those affected.

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A survey study of self‐reported comorbidities among adults with vitiligo in the United States

Cited by 4 publications

References 5 publications

Shining a Light on Vitiligo and Associated Comorbidities: What Is the Evidence?

Shining a Light on Vitiligo and Associated Comorbidities: What Is the Evidence?

The role of immune inflammatory response and inflammatory infiltrates in major depression disorder and atopic dermatitis: new insights from machine learning

Vitiligo – a disease: A position paper on stigmatization, life quality impairment and psychosocial comorbidity

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