Association of Genetically Predicted Serum Metabolites with the Risk of Androgenic Alopecia: A Mendelian Randomization Study

Androgenetic alopecia (AGA), or male/female pattern hair loss, is a prevalent chronic issue in dermatology clinics. Despite its high prevalence, AGA is challenging to treat due to its chronic nature and the complex interplay of genetic and environmental factors. Nowadays, extensive metabolomics research on AGA patients has revealed significant changes in hormones, amino acids, lipids, and other metabolites.
In this study, we employed a two sample MR analysis to assess the association between 1,400 serum metabolites and AGA risk, supplemented by meta-analysis and metabolic pathway enrichment analysis. Our study may provide insight into the genetic perspective of AGA.
Supplementary material for research, including 6 supplementary figures and 4 supplementary tables.
Supplemental table or figure files are for the benefit of the reviewers only.

雄激素性脱发（Androgenetic alopecia, AGA），亦称男女型脱发，是皮肤科门诊中极为常见的慢性病症。尽管该病患病率居高不下，但由于其慢性病程以及遗传与环境因素间的复杂相互作用，临床治疗颇具挑战。当前，针对AGA患者开展的大规模代谢组学研究已证实，患者体内的激素、氨基酸、脂质及其他代谢物均存在显著变化。
本研究采用两样本孟德尔随机化（two sample MR）分析，并辅以荟萃分析与代谢通路富集分析，对1400种血清代谢物与AGA患病风险之间的关联进行了评估。本研究或可为AGA的遗传机制探究提供全新视角。
本研究附带补充材料，包含6张补充图与4份补充表格。上述补充表格及补充图文件仅用于供审稿人审阅使用。