{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T19:11:11Z","timestamp":1790104271347,"version":"4.0.1"},"reference-count":63,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T00:00:00Z","timestamp":1712016000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Microbiol."],"abstract":"Background<\/jats:title>Androgenetic alopecia (AGA) is the most common type of androgen-associated hair loss. Previous studies have indicated an association between the gut microbiota and AGA. To delve deeper, we executed a two-sample Mendelian randomization (MR) analysis to investigate the potential causal relationship between the gut microbiota and AGA.<\/jats:p><\/jats:sec>Methods<\/jats:title>A two-sample MR investigation was utilized to delve into the intricate interplay between gut microbiota and AGA. Information regarding 211 gut microbial taxa was sourced from the MiBioGen consortium. The summary statistics of the genome-wide association studies (GWAS) for AGA were obtained from the FinnGen biobank, which included 195 cases and 201,019 controls. Various analytical approaches, including Inverse Variance Weighting (IVW), Weighted Median, MR-Egger, Weighted Mode, and Simple Mode were employed to evaluate the causal impact of gut microbiota on AGA. Sensitivity analyses were subsequently conducted to affirm the robustness of the findings.<\/jats:p><\/jats:sec>Results<\/jats:title>A two-sample MR investigation unveiled the genus Olsenella<\/jats:italic>, genus Ruminococcaceae UCG-004<\/jats:italic>, and genus Ruminococcaceae UCG-010<\/jats:italic> were identified as risk factors associated with AGA. In contrast, the family Acidaminococcaceae<\/jats:italic> and genus Anaerofilum<\/jats:italic>, along with the genus Ruminiclostridium<\/jats:italic> 9, demonstrated a protective effect. The sensitivity analyses provided additional assurance that the findings of the current study were less susceptible to the influence of confounding variables and biases.<\/jats:p><\/jats:sec>Conclusion<\/jats:title>The MR study has established a link between specific gut microbiota and AGA, offering evidence for the identification of more precisely targeted probiotics. This discovery has the potential to aid in the prevention, control, and reversal of AGA progression.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fmicb.2024.1360445","type":"journal-article","created":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T04:30:52Z","timestamp":1712032252000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Roles of gut microbiota in androgenetic alopecia: insights from Mendelian randomization analysis"],"prefix":"10.3389","volume":"15","author":[{"given":"Haijing","family":"Fu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyi","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wumei","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leiwei","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shijun","family":"Shan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,4,2]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1007\/s00018-018-2943-4","article-title":"An insight into gut microbiota and its functionalities.","volume":"76","author":"Adak","year":"2019","journal-title":"Cell Mol. 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