{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T12:03:58Z","timestamp":1768565038650,"version":"3.49.0"},"reference-count":33,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T00:00:00Z","timestamp":1712188800000},"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. Cell. Infect. Microbiol."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Previous studies have suggested a link between gut microbiota and skin diseases, including erysipelas, an inflammatory skin condition. Despite this, the precise nature of the relationship between erysipelas and gut microbiota remains unclear and subject to debate.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We conducted a Mendelian Randomization (MR) analysis using publicly available summary data from genome-wide association studies (GWAS) to explore the potential causal relationship between gut microbiota and erysipelas. Instrumental variables (IVs) were identified using a comprehensive set of screening methods. We then performed MR analyses primarily using the Inverse Variance Weighted (IVW) method, complemented by alternative approaches such as MR Egger, weighted median, simple mode, and weighted mode. A series of sensitivity analyses, including Cochran\u2019s Q test, MR-Egger intercept test, Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test, and a leave-one-out test, were executed to ensure the robustness and validity of our findings.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We identified potential associations between erysipelas and various gut microbiota, including <jats:italic>Alcaligenaceae<\/jats:italic> (OR 1.23; 95% CI 1.06-1.43; p=0.006), <jats:italic>Rikenellaceae<\/jats:italic> (OR 0.77; 95% CI 0.67-0.90; p=0.001), and others. Notably, associations with <jats:italic>Actinomyces<\/jats:italic>, <jats:italic>Lachnospiraceae NC2004 group<\/jats:italic>, <jats:italic>Ruminiclostridium 9<\/jats:italic>, <jats:italic>Ruminococcaceae UCG014<\/jats:italic>, <jats:italic>Odoribacter<\/jats:italic>, and <jats:italic>Actinobacteria<\/jats:italic> were also observed. Sensitivity analyses confirmed the robustness of these associations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Our MR analysis suggests both potentially beneficial and harmful causal relationships between various gut microbiota and the incidence of erysipelas. This study provides new theoretical and empirical insights into the pathogenesis of erysipelas and underscores the potential for innovative preventive and therapeutic approaches.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fcimb.2024.1371591","type":"journal-article","created":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T05:04:35Z","timestamp":1712207075000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Gut microbiota\u2019s influence on erysipelas: evidence from a two-sample Mendelian randomization analysis"],"prefix":"10.3389","volume":"14","author":[{"given":"Lijie","family":"Bao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zehui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lidong","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yibing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2024,4,4]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1334","DOI":"10.1093\/bioinformatics\/btu779","article-title":"Snipa: an interactive, genetic variant-centered annotation browser","volume":"31","author":"Arnold","year":"2015","journal-title":"Bioinformatics"},{"key":"B2","doi-asserted-by":"publisher","first-page":"1915","DOI":"10.1126\/science.1104816","article-title":"Host-bacterial mutualism in the human intestine","volume":"307","author":"Backhed","year":"2005","journal-title":"Science"},{"key":"B3","doi-asserted-by":"publisher","first-page":"2020","DOI":"10.1101\/2020.08.10.244293","article-title":"The mrc ieu opengwas data infrastructure","author":"Ben","year":"2020","journal-title":"Biorxiv"},{"key":"B4","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1056\/NEJM199601253340407","article-title":"Streptococcal infections of skin and soft tissues","volume":"334","author":"Bisno","year":"1996","journal-title":"N Engl. 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