肠道微生物群对双相情感障碍风险的因果影响:一项孟德尔随机研究

Ran Xu, Shuo Liu, Lu-yi Li, Ying Zhang, Guang-cheng Luo, Bo-qin Fang, Xin-jun Wang
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摘要

最近的研究表明肠道微生物群与双相情感障碍(BD)之间可能存在关联。然而,观察性研究是有限的,并且在不同的研究中发现的肠道微生物群之间存在差异。因此,我们旨在探讨肠道微生物群与双相情感障碍之间是否存在遗传水平的因果关系,并揭示肠道微生物群对双相情感障碍发展的影响趋势。方法:我们对肠道微生物群与双相情感障碍的全基因组关联研究(GWAS)的汇总统计数据进行了孟德尔随机化(MR)研究。采用方差反加权(IVW)作为统计分析的主要方法,同时使用MR- egger方法、加权中位数、加权模式和MR多重残差和异常值(MR- presso)检验的结果进行额外验证。采用Cochrane’s Q检验、MR- egger截距检验和MR- presso全局检验对MR结果的稳定性和可靠性进行检验。结果我们确定了13个与双相情感障碍有因果关系的肠道微生物类群。Betaproteobacteria、Acidaminococcaceae、Eubacterium xylanophilum group、Butyricimonas、Peptococcus、Prevotella 7、Roseburia、Terrisporobacter、Burkholderiales和Desulfovibrionales增加了BD的风险,而Candidatus Soleaferrea、Ruminiclostridium 5和Victivallis降低了BD的风险。MR分析结果在敏感性分析中是可靠的。通过MR研究,我们分析了196个肠道微生物分类群与双相情感障碍之间的因果关系,并确定了与患双相情感障碍风险相关的肠道微生物群。我们的发现为双相障碍的预防和治疗提供了新的生物标志物和潜在的治疗靶点。
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Causal effects of gut microbiota on the risk of bipolar disorder: a Mendelian randomization study
Background Recent studies have suggested a possible association between gut microbiota and bipolar disorder (BD). However, observational studies are limited and there are variations between the gut microbiota taxa found in different studies. Therefore, we aimed to explore whether there is a causal relationship between gut microbiota and bipolar disorder at the genetic level and to reveal trends in the effect of influential gut microbiota on the development of bipolar disorder. Methods We conducted a Mendelian randomisation (MR) study of summary statistics from a genome-wide association study (GWAS) of gut microbiota and bipolar disorder. Inverse variance weighting (IVW) was used as the primary method of statistical analysis, while results from the MR-Egger method, weighted median, weighted mode, and MR multiplicity residuals and outliers (MR-PRESSO) tests were used for additional validation.Cochrane’s Q test, MR-Egger intercept test, and MR-PRESSO global test were used to test MR results for stability and reliability. Result We identified 13 gut microbial taxa causally associated with bipolar disorder. Betaproteobacteria, Acidaminococcaceae, Eubacterium xylanophilum group, Butyricimonas, Peptococcus, Prevotella 7, Roseburia, Terrisporobacter, Burkholderiales and Desulfovibrionales increased the risk of BD, whereas Candidatus Soleaferrea, Ruminiclostridium 5 and Victivallis decreased the risk of BD. The results of the MR analysis were shown to be reliable in the sensitivity analysis. Conclusion With the MR study, we analysed the causal relationship between 196 gut microbial taxa and bipolar disorder and also identified gut microbiota associated with the risk of developing bipolar disorder. Our findings provide new biomarkers and potential therapeutic targets for the prevention and treatment of BD.
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