{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T22:46:57Z","timestamp":1785192417381,"version":"3.55.0"},"reference-count":30,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T00:00:00Z","timestamp":1720742400000},"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":"<jats:sec><jats:title>Background<\/jats:title><jats:p>The correlation between gut microbiota and interstitial cystitis has garnered significant attention in previous studies. Nevertheless, the causal relationship between them remains to be clarified.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Genetic variation serves as a tool in Mendelian randomization analyses, facilitating the inference of causal relationships between exposure factors and disease outcomes. In this study, summary statistics derived from a comprehensive genome-wide association study conducted by the MiBioGen consortium were utilized as exposure factors, while interstitial cystitis data sourced from the GWAS Catalog served as the disease outcome. Then, a two-sample Mendelian randomization analysis was performed by applying inverse variance-weighted, MR-Egger, Weighted Median, Simple Mode, and Weighted Mode. In addition, heterogeneity and horizontal pleiotropy were excluded by sensitivity analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>IVW results confirmed that genus <jats:italic>Haemophilus<\/jats:italic> (OR\u2009=\u20092.20, 95% CI: 1.16\u20134.15, <jats:italic>p<\/jats:italic>\u2009=\u20090.015), genus <jats:italic>Butyricimonas<\/jats:italic> (OR\u2009=\u20092.26, 95% CI: 1.15\u20134.45, <jats:italic>p<\/jats:italic>\u2009=\u20090.018), genus <jats:italic>Bacteroides<\/jats:italic> (OR\u2009=\u20094.27, 95% CI: 1.36\u201313.4, <jats:italic>p<\/jats:italic>\u2009=\u20090.013) and <jats:italic>Coprococcus1<\/jats:italic> (OR\u2009=\u20093.39, 95% CI: 1.28\u20138.99, <jats:italic>p<\/jats:italic>\u2009=\u20090.014) had a risk effect on interstitial cystitis. Sensitivity analysis did not find outlier SNPs.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Our analysis has identified a causal relationship between specific genera and interstitial cystitis. However, further validation through randomized controlled trials is essential to substantiate these findings.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fmicb.2024.1434117","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T04:59:28Z","timestamp":1720760368000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Causal effects of gut microbiota on risk of interstitial cystitis: a two-sample Mendelian randomization study"],"prefix":"10.3389","volume":"15","author":[{"given":"Jianguo","family":"Gao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sihai","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuefan","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,7,12]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1111\/iju.14229","article-title":"Interstitial cystitis\/bladder pain syndrome: the evolving landscape, animal models and future perspectives","volume":"27","author":"Akiyama","year":"2020","journal-title":"Int. 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