Article(id=1208491485947871328, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1208491481367687341, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2021-0182, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1612454400000, receivedDateStr=2021-02-05, revisedDate=1614787200000, revisedDateStr=2021-03-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1766056422935, onlineDateStr=2025-12-18, pubDate=1626019200000, pubDateStr=2021-07-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1766056422935, onlineIssueDateStr=2025-12-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1766056422935, creator=13701087609, updateTime=1766056422935, updator=13701087609, issue=Issue{id=1208491481367687341, tenantId=1146029695717560320, journalId=1189982191388893191, year='2021', volume='56', issue='7', pageStart='1749', pageEnd='2038', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1766056421844, creator=13701087609, updateTime=1766137126496, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1208829981292106015, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1208491481367687341, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1208829981292106016, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1208491481367687341, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1865, endPage=1871, ext={EN=ArticleExt(id=1208491487566872728, articleId=1208491485947871328, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Application progress of experimental animal model of humanized fecal microbiota transplantation in depression research, columnId=1190335348648547107, journalTitle=Acta Pharmaceutica Sinica, columnName=Reviews, runingTitle=null, highlight=null, articleAbstract=
The incidence rate of depression is increasing, but its pathological mechanism is still unknown. More evidence shows that the occurrence and development of depression is closely related to the changes of gut microbiome. However, due to the huge differences in bacterial composition among individuals caused by different environmental factors, researchers usually need a large number of samples to get reliable results. Experimental animal models play an important role in the pathogenesis of diseases and the mechanism of drug action because of their highly consistent background, controllable experimental environment, and the characteristics of artificial intervention. Therefore, the selection of appropriate experimental animal models can not only simulate the clinical symptoms of human depression, but also reveal the causal relationship between clinical characteristics and gut microbiome changes. In this review, the development and application of fecal microbiota transplantation technology, the close relationship between flora and depression, the application of humanized fecal microbiota transplantation experimental animal model in the study of depression, as well as the preparation methods and key technologies of humanized fecal microbiota were summarized, which provided a reference for the research on the pathogenesis of depression and the mechanism of antidepressant drugs of humanized fecal microbiota transplantation experimental animal model. This review provides a reference for the reasonable application of this aspect.
, correspAuthors=Jun-sheng TIAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2021 Acta Pharmaceutica Sinica. All rights reserved., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Hui-liang ZHAO, Chen YANG, Qi WANG, Huan XIANG, Xue-mei QIN, Jun-sheng TIAN), CN=ArticleExt(id=1208491488753860890, articleId=1208491485947871328, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=人源化粪菌移植实验动物模型在抑郁症研究中的应用进展, columnId=1190335349655180086, journalTitle=药学学报, columnName=综述, runingTitle=null, highlight=null, articleAbstract=
抑郁症的发病率不断上升,但其病理机制仍有许多未知之处。越来越多的证据表明,抑郁症的发生发展与肠道菌群的变化存在密切关系。然而,由于不同环境因素造成个体间菌群组成的巨大差异,研究者通常需要较大量的样本才能得到可靠结果。而实验动物模型因其具有高度一致性的背景、可控的实验环境及可人工干预的特点,在疾病发生机制及药物作用机制研究中发挥着重要作用。选择合适的实验动物模型不仅可用于模拟人类抑郁症疾病的临床症状表现,还可揭示临床特征与肠道菌群改变的因果关系。本文对粪菌移植技术的发展历程及其应用、菌群与抑郁症之间的密切联系、人源化粪菌移植实验动物模型在抑郁症研究中的应用,以及人源化菌群制备的方法和关键技术进行综述,为人源化粪菌移植实验动物模型在抑郁症发病机制研究及抗抑郁药物作用机制研究方面的合理应用提供参考依据。
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