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Diabetes, glycemic profile and risk of vitiligo: A Mendelian randomization study.
Hu, Shucheng; Che, Yuhui; Cai, Jiaying; Chen, Siyan; Gao, Ruifan; Huang, Xiaopeng.
Affiliation
  • Hu S; Clinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Che Y; Department of Dermatology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Cai J; Clinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Chen S; Department of Dermatology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Gao R; Clinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Huang X; Department of Dermatology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Skin Res Technol ; 30(7): e13787, 2024 Jul.
Article in En | MEDLINE | ID: mdl-38992866
ABSTRACT
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.
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Full text: 1 Database: MEDLINE Main subject: Vitiligo / Blood Glucose / Glycated Hemoglobin / Diabetes Mellitus, Type 1 / Diabetes Mellitus, Type 2 / Genome-Wide Association Study / Mendelian Randomization Analysis Limits: Adult / Female / Humans / Male Language: En Journal: Skin Res Technol / Skin res. technol / Skin research and technology Journal subject: DERMATOLOGIA Year: 2024 Type: Article Affiliation country: China

Full text: 1 Database: MEDLINE Main subject: Vitiligo / Blood Glucose / Glycated Hemoglobin / Diabetes Mellitus, Type 1 / Diabetes Mellitus, Type 2 / Genome-Wide Association Study / Mendelian Randomization Analysis Limits: Adult / Female / Humans / Male Language: En Journal: Skin Res Technol / Skin res. technol / Skin research and technology Journal subject: DERMATOLOGIA Year: 2024 Type: Article Affiliation country: China