Integrated multi-omics analysis reveals gut microbiota dysbiosis and systemic disturbance in major depressive disorder

失调 代谢组学 肠道菌群 免疫系统 生物 重性抑郁障碍 免疫学 生物信息学 内分泌学 扁桃形结构
作者
Zuoquan Xie,Jingjing Huang,Guangqiang Sun,Shen He,Zhiyu Luo,Linna Zhang,Liang Li,Min Yao,Chen Du,Wenjuan Yu,Yuan Feng,Dabing Yang,Jing Zhang,Changrong Ge,Huafang Li,Meiyu Geng
出处
期刊:Psychiatry Research-neuroimaging [Elsevier]
卷期号:334: 115804-115804 被引量:16
标识
DOI:10.1016/j.psychres.2024.115804
摘要

• MDD has substantial changes in the structure and function of gut microbiota. • MDD exhibited decreased amino acids and bile acids and increased lipids in blood. • The changes of blood immune cell subtypes of MDD tend to promote inflammation. • MDD could be divided into two immune subtypes, and one is correlated with relapse. • We revealed integrative discriminative signatures for distinguishing MDD from HC. Major depressive disorder (MDD) involves systemic changes in peripheral blood and gut microbiota, but the current understanding is incomplete. Herein, we conducted a multi-omics analysis of fecal and blood samples obtained from an observational cohort including MDD patients (n = 99) and healthy control (HC, n = 50). 16S rRNA sequencing of gut microbiota showed structural alterations in MDD, as characterized by increased Enterococcus . Metagenomics sequencing of gut microbiota showed substantial functional alterations including upregulation in the superpathway of the glyoxylate cycle and fatty acid degradation and downregulation in various metabolic pathways in MDD. Plasma metabolomics revealed decreased amino acids and bile acids, together with increased sphingolipids and cholesterol esters in MDD. Notably, metabolites involved in arginine and proline metabolism were decreased while sphingolipid metabolic pathway were increased. Mass cytometry analysis of blood immune cell subtypes showed rises in proinflammatory immune subsets and declines in anti-inflammatory immune subsets in MDD. Furthermore, our findings revealed disease severity-related factors of MDD. Interestingly, we classified MDD into two immune subtypes that were highly correlated with disease relapse. Moreover, we established discriminative signatures that differentiate MDD from HC. These findings contribute to a comprehensive understanding of the MDD pathogenesis and provide valuable resources for the discovery of biomarkers.
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