Niu Yanna, Zhang Yaochen, Fan Keyi, Hou Jialin, Liu Liu, Zhang Heyi, Geng Xinlei, Ma Xiyue, Lin Shilei, Guo Meilin, Li Xiaofeng, Zhang Shengxiao
Department of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China.
Front Microbiol. 2024 Aug 21;15:1409497. doi: 10.3389/fmicb.2024.1409497. eCollection 2024.
Observational studies suggest associations between gut microbiota and polymyositis (PM) and dermatomyositis (DM), but causal relationships are unclear. We investigate the causal effects of gut microbiota on PM and DM, providing insights hoping to provide insights for future treatment and prevention.
Summary statistics of gut microbiota were obtained from a multi-ethnic Genome Wide Association Studies (GWAS) meta-analysis, including 119 taxa from 18,340 Europeans. PM/DM statistics were extracted from GWAS analyses. Mendelian randomization (MR) with IVW, MR-Egger, and weighted median methods was performed. Sensitivity analyses addressed heterogeneity and pleiotropy. Of the 119 bacterial genera studied, six showed causal links.
(OR: 3.075, 95% CI: 1.127-8.386, = 0.028), UCG003 (OR: 4.219, 95% CI: 1.227-14.511, = 0.022), (OR: 0.273, 95% CI: 0.077-0.974, = 0.045) were associated with PM. (OR: 0.314, 95% CI: 0.112-0.882, = 0.028), UCG002 (OR: 2.439, 95% CI: 1.173-5.071, = 0.017), (OR: 3.392, 95% CI: 1.302-8.839, = 0.012) were related to DM. Sensitivity analyses validated these associations.
We establish causal relationships between , , with DM, , UCG003, and with PM. Common microbiota, like , have significant clinical implications. These findings open up greater possibilities for the gut microbiota to contribute to the development of PM/DM and for future monitoring of the gut microbiota in patients with PM/DM.
观察性研究表明肠道微生物群与多发性肌炎（PM）和皮肌炎（DM）之间存在关联，但因果关系尚不清楚。我们调查肠道微生物群对PM和DM的因果影响，希望能为未来的治疗和预防提供见解。
肠道微生物群的汇总统计数据来自一项多民族全基因组关联研究（GWAS）荟萃分析，包括来自18340名欧洲人的119个分类单元。PM/DM统计数据从GWAS分析中提取。采用逆方差加权法（IVW）、MR-Egger法和加权中位数法进行孟德尔随机化（MR）分析。敏感性分析探讨了异质性和多效性。在研究的119个细菌属中，有6个显示出因果联系。
[具体菌属1]（比值比：3.075，95%置信区间：1.127 - 8.386，P = 0.028）、UCG003（比值比：4.219，95%置信区间：1.227 - 14.511，P = 0.022）、[具体菌属2]（比值比：0.273，95%置信区间：0.077 - 0.974，P = 0.045）与PM相关。[具体菌属3]（比值比：0.314，95%置信区间：0.112 - 0.882，P = 0.028）、UCG002（比值比：2.439，95%置信区间：1.173 - 5.071，P = 0.017）、[具体菌属4]（比值比：3.392，95%置信区间：1.302 - 8.839，P = 0.012）与DM相关。敏感性分析验证了这些关联。
我们确立了[具体菌属3]、[具体菌属4]与DM，[具体菌属1]、[具体菌属2]、UCG003与PM之间的因果关系。常见的微生物群，如[具体菌属5]，具有重要的临床意义。这些发现为肠道微生物群在PM/DM发病机制中的作用以及未来对PM/DM患者肠道微生物群的监测开辟了更大的可能性。
