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Genetic association between gut microbiota and the risk of Guillain-Barré syndrome

瘤胃球菌 孟德尔随机化 毛螺菌科 格林-巴利综合征 医学 内科学 全基因组关联研究 肠道菌群 生物 胃肠病学 遗传学 单核苷酸多态性 免疫学 基因型 基因 16S核糖体RNA 遗传变异 细菌 厚壁菌
作者
Fangzheng Cao,Houwen Zhang,Bin Xu,Chunrong Li
出处
期刊:Journal of Affective Disorders [Elsevier]
标识
DOI:10.1016/j.jad.2024.05.011
摘要

Guillain-Barré Syndrome (GBS) is an autoimmune disease that typically develops after a previous gastrointestinal (GI) infection. However, the exact association between Gut Microbiota (GM) and GBS still remains unknown due to various challenges. This study aimed to investigate the potential causal association between GM and GBS by using a two-sample Mendelian Randomization (TSMR) analysis. Utilizing the largest available genome-wide association study (GWAS) meta-analysis from the MiBioGen consortium (n = 13,266) as a foundation, we conducted a TSMR to decipher the causal relationship between GM and GBS. Various analytical methods were employed, including the inverse variance weighted (IVW), MR-PRESSO, MR-Egger, and weighted median. The heterogeneity of instrumental variables (IVs) was assessed using Cochran's Q statistics. The analysis identified three microbial taxa with a significantly increased risk association for GBS, including Ruminococcus gnavus group (OR = 1.40, 95 % CI: 1.07–1.83), Ruminococcus gauvreauii group (OR = 1.51, 95 % CI: 1.02–2.25), and Ruminococcaceae UCG009 (OR = 1.42, 95 % CI: 1.02–1.97), while Eubacterium brachy group (OR = 1.44, 95 % CI: 1.10–1.87) and Romboutsia (OR = 1.67, 95 % CI: 1.12–2.47) showed a suggestively causal association. On the other hand, Ruminococcaceae UCG004 (OR = 0.61, 95 % CI: 0.41–0.91) had a protective effect on GBS, while Bacilli (OR = 0.60, 95 % CI: 0.38–0.96), Gamma proteobacteria (OR = 0.63, 95 % CI: 0.41–0.98) and Lachnospiraceae UCG001 (OR = 0.69, 95 % CI: 0.49–0.96) showed a suggestively protective association for GBS. The MR analysis suggests a potential causal relationship between specific GM taxa and the risk of GBS. However, further extensive research involving diversified populations is imperative to validate these findings.
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