Abstract：
BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
摘要：
背景：格林-巴利综合征（GBS）是一种自身免疫性疾病，通常在先前的胃肠道（GI）感染后发展。然而,由于各种挑战,肠道菌群(GM)和GBS之间的确切关联仍然未知.本研究旨在通过双样本孟德尔随机化（TSMR）分析来调查GM和GBS之间的潜在因果关系。
方法：利用MiBioGen联盟（n=13,266）提供的最大的全基因组关联研究（GWAS）荟萃分析作为基础，我们进行了TSMR来破译GM和GBS之间的因果关系。采用了各种分析方法，包括逆方差加权(IVW)，MR-PRESSO,MR-Egger,和加权中位数。工具变量(IVs)的异质性使用Cochran的Q统计进行评估。
结果：分析确定了三个微生物类群与GBS的风险关联显著增加，包括牙本质反乳球菌组（OR=1.40，95%CI：1.07-1.83），ruminococusgaovreauii组（OR=1.51，95%CI：1.02-2.25），和反刍动物科UCG009（OR=1.42，95%CI：1.02-1.97），而Eubacteriumbrachy组（OR=1.44，95％CI：1.10-1.87）和Romboutsia（OR=1.67，95％CI：1.12-2.47）显示出暗示性因果关系。另一方面,RuminocycaceaeUCG004（OR=0.61，95％CI：0.41-0.91）对GBS具有保护作用，而芽孢杆菌(OR=0.60，95%CI：0.38-0.96)，γ蛋白细菌（OR=0.63，95％CI：0.41-0.98）和LachnoshispileaceaeUCG001（OR=0.69，95％CI：0.49-0.96）显示出对GBS的暗示性保护性关联。
结论：MR分析表明特定GM分类群与GBS风险之间存在潜在的因果关系。然而,为了验证这些发现，必须进行涉及多元化人群的进一步广泛研究。
方法：利用MiBioGen联盟（n=13,266）提供的最大的全基因组关联研究（GWAS）荟萃分析作为基础，我们进行了TSMR来破译GM和GBS之间的因果关系。采用了各种分析方法，包括逆方差加权(IVW)，MR-PRESSO,MR-Egger,和加权中位数。工具变量(IVs)的异质性使用Cochran的Q统计进行评估。
结果：分析确定了三个微生物类群与GBS的风险关联显著增加，包括牙本质反乳球菌组（OR=1.40，95%CI：1.07-1.83），ruminococusgaovreauii组（OR=1.51，95%CI：1.02-2.25），和反刍动物科UCG009（OR=1.42，95%CI：1.02-1.97），而Eubacteriumbrachy组（OR=1.44，95％CI：1.10-1.87）和Romboutsia（OR=1.67，95％CI：1.12-2.47）显示出暗示性因果关系。另一方面,RuminocycaceaeUCG004（OR=0.61，95％CI：0.41-0.91）对GBS具有保护作用，而芽孢杆菌(OR=0.60，95%CI：0.38-0.96)，γ蛋白细菌（OR=0.63，95％CI：0.41-0.98）和LachnoshispileaceaeUCG001（OR=0.69，95％CI：0.49-0.96）显示出对GBS的暗示性保护性关联。
结论：MR分析表明特定GM分类群与GBS风险之间存在潜在的因果关系。然而,为了验证这些发现，必须进行涉及多元化人群的进一步广泛研究。
