Xu Ming-Min, Qiu Wen-Hui, Ma Qing-Yu, Yu Zhi-Yun, Yang Wen-Miao, Hu Tian-Nuo, Guo Yu, Chen Xiao-Yin
School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Front Microbiol. 2024 Apr 9;15:1380912. doi: 10.3389/fmicb.2024.1380912. eCollection 2024.
There is growing evidence of associations between the gut microbiota and anxiety disorders, where changes in gut microbiotas may affect brain function and behavior via the microbiota-gut-brain axis. However, population-level studies offering a higher level of evidence for causality are lacking. Our aim was to investigate the specific gut microbiota and associated metabolites that are closely related to anxiety disorders to provide mechanistic insights and novel management perspectives for anxiety disorders.
This study used summary-level data from publicly available Genome-Wide Association Studies (GWAS) for 119 bacterial genera and the phenotype "All anxiety disorders" to reveal the causal effects of gut microbiota on anxiety disorders and identify specific bacterial genera associated with anxiety disorders. A two-sample, bidirectional Mendelian randomization (MR) design was deployed, followed by comprehensive sensitivity analyses to validate the robustness of results. We further conducted multivariable MR (MVMR) analysis to investigate the potential impact of neurotransmitter-associated metabolites, bacteria-associated dietary patterns, drug use or alcohol consumption, and lifestyle factors such as smoking and physical activity on the observed associations.
Bidirectional MR analysis identified three bacterial genera causally related to anxiety disorders: the genus and genus were protective, while the genus was associated with an increased risk of anxiety disorders. Further MVMR suggested that a metabolite-dependent mechanism, primarily driven by tryptophan, tyrosine, phenylalanine, glycine and cortisol, which is consistent with previous research findings, probably played a significant role in mediating the effects of these bacterial genera to anxiety disorders. Furthermore, modifying dietary pattern such as salt, sugar and processed meat intake, and adjusting smoking state and physical activity levels, appears to be the effective approaches for targeting specific gut microbiota to manage anxiety disorders.
Our findings offer potential avenues for developing precise and effective management approaches for anxiety disorders by targeting specific gut microbiota and associated metabolites.
越来越多的证据表明肠道微生物群与焦虑症之间存在关联,肠道微生物群的变化可能通过微生物-肠-脑轴影响大脑功能和行为。然而,缺乏能提供更高因果关系证据水平的人群水平研究。我们的目的是研究与焦虑症密切相关的特定肠道微生物群及其相关代谢产物,为焦虑症提供机制性见解和新的管理视角。
本研究使用了公开可用的全基因组关联研究(GWAS)中119个细菌属的汇总水平数据以及“所有焦虑症”这一表型,以揭示肠道微生物群对焦虑症的因果影响,并确定与焦虑症相关的特定细菌属。采用两样本双向孟德尔随机化(MR)设计,随后进行全面的敏感性分析以验证结果的稳健性。我们进一步进行了多变量MR(MVMR)分析,以研究神经递质相关代谢产物、细菌相关饮食模式、药物使用或酒精消费以及吸烟和体育活动等生活方式因素对观察到的关联的潜在影响。
双向MR分析确定了三个与焦虑症有因果关系的细菌属:属 和属 具有保护作用,而属 与焦虑症风险增加有关。进一步的MVMR表明,一种主要由色氨酸、酪氨酸、苯丙氨酸、甘氨酸和皮质醇驱动的代谢物依赖性机制,这与先前的研究结果一致,可能在介导这些细菌属对焦虑症的影响中起重要作用。此外,改变饮食模式,如盐、糖和加工肉类的摄入量,以及调整吸烟状态和体育活动水平,似乎是针对特定肠道微生物群来管理焦虑症的有效方法。
我们的研究结果为通过靶向特定肠道微生物群及其相关代谢产物开发精确有效的焦虑症管理方法提供了潜在途径。