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肠道微生物群:预测重度抑郁症治疗结果的潜在指标。

Gut microbiome: A potential indicator for predicting treatment outcomes in major depressive disorder.

作者信息

Dong Zaiquan, Shen Xiaoling, Hao Yanni, Li Jin, Xu Haizhen, Yin Li, Kuang Weihong

机构信息

Mental Health Center of West China Hospital, Sichuan University, Chengdu, China.

Department of Psychiatry, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.

出版信息

Front Neurosci. 2022 Jul 22;16:813075. doi: 10.3389/fnins.2022.813075. eCollection 2022.

Abstract

The therapeutic outcomes in major depressive disorder (MDD), one of the most common and heterogeneous mental illnesses, are affected by factors that remain unclear and often yield unsatisfactory results. Herein, we characterized the composition and metabolic function of the gut microbiota of patients with MDD during antidepressant treatment, based on 16S rRNA sequencing and metabolomics. The microbial signatures at baseline differed significantly between responder and non-responder groups. The gut microbiota of the non-responder group was mainly characterized by increased relative abundances of the phylum Actinobacteria, families Christensenellaceae and Eggerthellaceae, and genera and compared to that of the responder group. Additionally, the gut microbiota composition of the responder and non-responder groups differed significantly before and after treatment, especially at the genus level. Moreover, 20 differential metabolites between the responder and non-responder groups were identified that were mainly involved in lipid metabolism (cholestane steroids and steroid esters). Eggerthellaceae and displayed strong co-occurrence relationships with certain metabolites, suggesting alternations in the gut microbiome, and associated metabolites may be potential mediators of successful antidepressant treatment. Overall, our study demonstrates that alterations in gut microbiota composition and metabolic function might be relevant to the response to antidepressants, thereby providing insight into mechanisms responsible for their efficacy.

摘要

重度抑郁症(MDD)是最常见且异质性的精神疾病之一,其治疗结果受到一些尚不清楚的因素影响,且往往产生不尽人意的结果。在此,我们基于16S rRNA测序和代谢组学,对MDD患者在抗抑郁治疗期间肠道微生物群的组成和代谢功能进行了表征。应答者和无应答者组在基线时的微生物特征存在显著差异。与应答者组相比,无应答者组的肠道微生物群主要特征为放线菌门、克里斯滕森菌科和埃格特菌科的相对丰度增加,以及属和属的相对丰度增加。此外,应答者和无应答者组的肠道微生物群组成在治疗前后存在显著差异,尤其是在属水平上。此外,还鉴定出应答者和无应答者组之间的20种差异代谢物,它们主要参与脂质代谢(胆甾烷类固醇和类固醇酯)。埃格特菌科和与某些代谢物表现出强烈的共现关系,表明肠道微生物群的改变以及相关代谢物可能是成功抗抑郁治疗的潜在介质。总体而言,我们的研究表明肠道微生物群组成和代谢功能的改变可能与对抗抑郁药的反应有关,从而为其疗效的作用机制提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619c/9354493/279c038c3947/fnins-16-813075-g001.jpg

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