ArticleClinical, cosmetic and investigational dermatology2025
Exploring the Causal Relationship and Molecular Mechanisms Between Fasting Insulin and Androgenetic Alopecia: A Mendelian Randomization Study with Bioinformatics Analysis.
Article in Clinical, cosmetic and investigational dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Androgenetic alopecia in polycystic ovary syndrome: a cutaneous marker of systemic metabo-inflammatory and endocrine dysfunction.Endocrine connections · 2026Review
- A Bidirectional Mendelian Randomization Study of Androgenetic Alopecia and Obesity.Clinical, cosmetic and investigational dermatology · 2026Article
- Increased Prevalence of Insulin Resistance and Metabolic Syndrome in Men With Early-Onset Androgenetic Alopecia: A Case-Control Study.Journal of cosmetic dermatology · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Prior studies have suggested a significant connection between fasting insulin (FI) and androgenetic alopecia (AGA), but the exact cause of this connection and underlying molecular mechanism has not been clarified. In this study, a Mendelian randomization (MR) analysis was utilized to discover the causal associations between FI and AGA. Methods: Genome-wide association study (GWAS) data for FI and AGA were retrieved, and bidirectional MR analysis was conducted. FI-associated genes were identified through expression quantitative trait loci (eQTL) analysis, with enrichment analysis and a protein-protein interaction (PPI) network used to explore potential pathways and core genes. Results: Forward MR analysis revealed a significant causal relationship between elevated FI levels and AGA (P=0.027, OR=43.944). Reverse MR analysis found no causal effect of AGA on FI (P=0.808, OR=1.0001). A total of 92 FI-associated genes were analyzed, with enrichment results indicating involvement in glycine, serine, and threonine metabolic pathways. EIF2B4 and NRBP1 were identified as potential core genes linking FI and AGA. Conclusion: By using MR analysis, this study verified the possible causative connection between FIns and AGA by MR analysis. The core genes EIF2B4 and NRBP1, along with biological processes such as glycosylation and amino acid metabolism, may serve as crucial links.
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