Integrated Analysis of Gut Microbiome, Inflammation, and Neuroimaging Features Supports the Role of Microbiome-Gut-Brain Crosstalk in Schizophrenia.

Schizophrenia bulletin open Pub Date : 2024-10-28 eCollection Date: 2024-01-01 DOI:10.1093/schizbullopen/sgae026
Hui Wu, Yaxi Liu, Yunwu Han, Bingdong Liu, Shengyun Chen, Zhiye Ye, Jianbo Li, Liwei Xie, Xiaoli Wu
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Abstract

Background and hypothesis: Gut microbiota has been implicated in the pathogenesis of schizophrenia (SZ) and relevant changes in the brain, but the underlying mechanism remains elusive. This study aims to investigate the microbiota-gut-brain crosstalk centered on peripheral inflammation in SZ patients.

Study design: We recruited a cohort of 182 SZ patients and 120 healthy controls (HC). Multi-omics data, including fecal 16S rRNA, cytokine data, and neuroimaging data, were collected and synthesized for analysis. Multi-omics correlations and mediation analyses were utilized to determine the associations of gut microbiome with inflammatory cytokines and neuroimaging characteristics. Additionally, machine learning models for effective SZ diagnosis were separately generated based on gut microbial and neuroimaging data.

Study results: Gut microbial dysbiosis, characterized by a decrease in butyrate-producing bacteria and an increase in proinflammatory bacteria, has been identified in SZ patients. These key microbial taxa were associated with increased inflammatory cytokines, potentially through mediating lipid metabolic pathways such as steroid biosynthesis and linoleic acid metabolism. Further analysis revealed altered microbial genera to be correlated with disrupted gray matter volume and regional homogeneity in SZ patients. Importantly, certain inflammatory cytokines mediated the relationship between the SZ-enriched genus Succinivibrio and aberrant activity of anterior cingulate cortex and left inferior temporal gyrus in the SZ group. Moreover, the classification model based on gut microbial data showed comparable efficacy to the model based on brain functional signatures in SZ diagnosis.

Conclusions: This study presents evidence for the dysregulated microbiota-gut-brain axis in SZ and emphasizes the central role of peripheral inflammation.

肠道微生物组、炎症和神经影像学特征的综合分析支持微生物组-肠-脑串扰在精神分裂症中的作用。
背景与假设:肠道微生物群与精神分裂症(SZ)的发病机制和大脑的相关变化有关,但其潜在机制尚不清楚。本研究旨在探讨SZ患者以外周炎症为中心的微生物-肠-脑串扰。研究设计:我们招募了182名SZ患者和120名健康对照(HC)。收集并合成多组学数据,包括粪便16S rRNA、细胞因子数据和神经影像学数据进行分析。利用多组学相关性和中介分析来确定肠道微生物组与炎症细胞因子和神经影像学特征的关联。此外,基于肠道微生物和神经影像学数据,分别生成了有效诊断SZ的机器学习模型。研究结果:在SZ患者中发现了肠道微生物生态失调,其特征是产生丁酸盐的细菌减少,促炎细菌增加。这些关键的微生物类群与炎症细胞因子的增加有关,可能通过介导脂质代谢途径,如类固醇生物合成和亚油酸代谢。进一步分析显示,SZ患者的微生物属的改变与灰质体积的破坏和区域均匀性相关。重要的是,某些炎症因子介导了SZ组富含SZ的琥珀弧菌属与前扣带皮层和左颞下回异常活动之间的关系。此外,基于肠道微生物数据的分类模型与基于脑功能特征的模型在SZ诊断中的疗效相当。结论:本研究提供了SZ中微生物-肠-脑轴失调的证据,并强调了外周炎症的核心作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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