Gut microbiotas, inflammatory factors, and mental-behavioral disorders: A mendelian randomization study.

IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY
Zhen Ma, Huanghong Zhao, Min Zhao, Jie Zhang, Nan Qu
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引用次数: 0

Abstract

Background: The Mendelian randomization approach has emerged as a powerful tool, leveraging genetic variations as natural random experiments to minimize confounding and infer causality with unique advantages. Previous research has highlighted the crucial roles of gut microbiotas and inflammatory factors in mental-behavioral disorders, albeit to varying degrees. However, the precise causal relationship between gut microbiotas and mental-behavioral disorders remains elusive, and the potential role of inflammatory factors as mediators in this process is unclear.

Methods: To investigate the associations between gut microbiotas, inflammatory factors, and mental-behavioral disorders, we pooled data from large-scale genome-wide association studies (GWAS). Our study screened 27 diseases, encompassing nine subtypes of mental-behavioral disorders: neurodevelopmental disorders, eating disorders, sleep disorders, schizophrenia spectrum disorders, stress- and trauma-related disorders, mood and affective disorders, cognitive and executive function disorders, personality and somatization disorders, and addiction disorders. Mendelian randomization(MR) was employed to assess causal relationships between gut microbiotas, inflammatory factors, and these mental-behavioral disorders, with inverse variance weighting (IVW) as the primary statistical method. Furthermore, we explored whether inflammatory factors mediate the relationship between gut microbiotas and mental-behavioral disorders.

Results: Having investigated the intricate interplay among gut microbiota, inflammatory factors, and mental-behavioral disorders, we have identified nine pivotal inflammatory factors that intricately regulate the progression of eight distinct disease subtypes. Noteworthy among these findings, levels of CC motif chemokine ligand 28 (CCL28) and CC motif chemokine ligand 25 (CCL25) are associated with the progression of attention-deficit/hyperactivity disorder (ADHD), interleukin-18 (IL-18) levels are linked to anorexia, IL-12β levels are related to schizophrenia (SZ) progression, IL-8 levels are associated with manic episodes, and IL-10 and monocyte chemoattractant protein-2 (MCP-2) levels are closely related to enduring personality changes(EPC). Additionally, fibroblast growth factor 19 (FGF19) levels are associated with cognitive disorders, while C-X-C motif chemokine ligand 1 (CXCL1) levels are related to executive functioning.

Conclusion: Gut microbiotas and mental-behavioral disorders have causal relationships, with inflammatory factors mediating the pathway from gut microbiotas to these disorders.

肠道微生物群、炎症因子与精神行为障碍:泯灭随机化研究
背景:孟德尔随机方法已成为一种强大的工具,它利用遗传变异作为自然随机实验,以独特的优势最大限度地减少混杂因素并推断因果关系。以往的研究强调了肠道微生物和炎症因子在精神行为障碍中的关键作用,尽管程度各不相同。然而,肠道微生物与精神行为障碍之间的确切因果关系仍然难以捉摸,炎症因子在这一过程中作为介质的潜在作用也不清楚:为了研究肠道微生物群、炎症因子和精神行为障碍之间的关联,我们汇集了大规模全基因组关联研究(GWAS)的数据。我们的研究筛选了27种疾病,包括精神行为障碍的9个亚型:神经发育障碍、进食障碍、睡眠障碍、精神分裂症谱系障碍、压力和创伤相关障碍、情绪和情感障碍、认知和执行功能障碍、人格和躯体化障碍以及成瘾障碍。我们采用孟德尔随机法(MR)评估肠道微生物、炎症因子和这些精神行为障碍之间的因果关系,并以反方差加权法(IVW)作为主要统计方法。此外,我们还探讨了炎症因素是否介导了肠道微生物群与精神行为障碍之间的关系:通过研究肠道微生物群、炎症因子和精神行为障碍之间错综复杂的相互作用,我们发现了九种关键的炎症因子,它们错综复杂地调节着八种不同疾病亚型的发展。其中值得注意的是,CC motif趋化因子配体28(CCL28)和CC motif趋化因子配体25(CCL25)的水平与注意力缺陷/多动症(ADHD)的进展有关,白细胞介素-18(IL-18)的水平与厌食症有关、IL-12β水平与精神分裂症(SZ)的进展有关,IL-8水平与躁狂发作有关,IL-10和单核细胞趋化蛋白-2(MCP-2)水平与持久性人格改变(EPC)密切相关。此外,成纤维细胞生长因子19(FGF19)水平与认知障碍有关,而C-X-C motif趋化因子配体1(CXCL1)水平与执行功能有关:结论:肠道微生物群与精神行为障碍有因果关系,炎症因子介导了从肠道微生物群到这些障碍的途径。
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来源期刊
Journal of affective disorders
Journal of affective disorders 医学-精神病学
CiteScore
10.90
自引率
6.10%
发文量
1319
审稿时长
9.3 weeks
期刊介绍: The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.
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