Comparative analysis of gut microbiota and fecal metabolome features among multiple depressive animal models

作者全名："Liu, Xueer; Li, Xuemei; Teng, Teng; Jiang, Yuanliang; Xiang, Yajie; Fan, Li; Yu, Ying; Zhou, Xinyu; Xie, Peng"

作者地址："[Liu, Xueer; Teng, Teng; Xiang, Yajie; Fan, Li; Yu, Ying; Xie, Peng] Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing, Peoples R China; [Liu, Xueer; Li, Xuemei; Teng, Teng; Jiang, Yuanliang; Xiang, Yajie; Fan, Li; Yu, Ying; Zhou, Xinyu; Xie, Peng] Chongqing Med Univ, Affiliated Hosp 1, Natl Hlth Commiss, Key Lab Diag & Treatment Brain Funct Dis, Chongqing, Peoples R China; [Li, Xuemei; Jiang, Yuanliang; Zhou, Xinyu] Chongqing Med Univ, Affiliated Hosp 1, Dept Psychiat, Chongqing, Peoples R China"

通信作者："Xie, P (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing, Peoples R China.; Zhou, XY (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Natl Hlth Commiss, Key Lab Diag & Treatment Brain Funct Dis, Chongqing, Peoples R China."

来源：JOURNAL OF AFFECTIVE DISORDERS

ESI学科分类：PSYCHIATRY/PSYCHOLOGY

WOS号：WOS:000910864800012

JCR分区：Q1

影响因子：6.6

年份：2022

卷号：314

期号：　

开始页：103

结束页：111

文献类型：Article

关键词：Depression; Multiple rat models; Gut microbiota; Fecal metabolite

摘要："Backgrounds: Emerging studies reported that gut microbiota and fecal metabolites take part in major depressive disorder (MDD) pathogenesis. However, the conclusions based on a single depressive animal model seem inconsistent or even controversial. Methods: Multiple depression rat models, including chronic unpredictable mild stress, chronic restraint stress, social defeat, and learned helplessness, were used. Then, the 16S ribosomal RNA gene sequencing and liquid chromatography-mass spectrometry analysis determined the alteration of gut microbiota and fecal metabolites. Results: The results of sucrose preference test and forced swimming test suggested that each model successfully established depression-like behavior. A total of 179 discriminative amplicon sequence variants (ASVs) were identified among four models. The overall discriminative ASVs mainly belonged to the family Lachnospiraceae, Muribaculaceae, and Oscillospiraceae. Moreover, the fecal metabolomic analysis identified 468 differential expressed metabolites. Among all the differential metabolites, 11 specific pathways significantly altered, which were mainly belonged to lipid and amino acid metabolism. Finally, co-occurrence network analysis suggested that target differential metabolites were associated with discriminative ASVs mainly assigned to family taxon Lachnospiraceae, Muribaculaceae, and Oscillospiraceae. Limitations: The heterogeneity of MDD in humans cannot be totally imitated by animal models. Conclusions: In multiple depression models, the alterations of family Lachnospiraceae, Muribaculaceae, and Oscillospiraceae with the dysbiosis of lipid and amino acid metabolism were gut microbiota and fecal metabolome features. The findings of our research may help us to have a comprehensive understanding of gut microbiota and fecal metabolome in depression."

基金机构：National Basic Research Program of China [2017YFA0505700]; Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences [2019PT320002]; projects of International Cooperation and Exchanges NSFC [81820108015]; National Natural Science Foundation of China [81873800 290]; Chongqing Science and Technology Commission [cstc2020jcyj-jqX0024]; Chongqing Postdoctoral Special Foundation [2010010006132663]

基金资助正文："This work was financially supported by the National Basic Research Program of China (Grant No. 2017YFA0505700 to P.X.), the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences (Grant No. 2019PT320002 to P.X.), the projects of International Cooperation and Exchanges NSFC (Grant No. 81820108015 to P.X.), the National Natural Science Foundation of China (Grant No. 81873800 290 to X.Z.), the institutional funds from the Chongqing Science and Technology Commission (Grant No. cstc2020jcyj-jqX0024 to X.Z.), and Chongqing Postdoctoral Special Foundation (Grant No. 2010010006132663 to X.Z.)."