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1999年至2019年肠道微生物群与抑郁症之间联系的研究的文献计量学和可视化分析

Bibliometric and Visual Analysis of Research on the Links Between the Gut Microbiota and Depression From 1999 to 2019.

作者信息

Zhu Xiuqing, Hu Jinqing, Deng Shuhua, Tan Yaqian, Qiu Chang, Zhang Ming, Ni Xiaojia, Lu Haoyang, Wang Zhanzhang, Li Lu, Chen Hongzhen, Huang Shanqing, Xiao Tao, Shang Dewei, Wen Yuguan

机构信息

Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.

Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.

出版信息

Front Psychiatry. 2021 Jan 8;11:587670. doi: 10.3389/fpsyt.2020.587670. eCollection 2020.

DOI:10.3389/fpsyt.2020.587670
PMID:33488420
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7819979/
Abstract

There is a crucial link between the gut microbiota and the host central nervous system, and the communication between them occurs a bidirectional pathway termed the "microbiota-gut-brain axis." The gut microbiome in the modern environment has markedly changed in response to environmental factors. These changes may affect a broad range of host psychiatric disorders, such as depression, by interacting with the host through metabolic, immune, neural, and endocrine pathways. Nevertheless, the general aspects of the links between the gut microbiota and depression have not been systematically investigated through bibliometric analysis. This study aimed to analyze the current status and developing trends in gut microbiota research in the depression field through bibliometric and visual analysis. A total of 1,962 publications published between 1999 and 2019 were retrieved from the Web of Science Core Collection. CiteSpace (5.6 R5) was used to perform collaboration network analysis, co-citation analysis, co-occurrence analysis, and citation burst detection. The number of publications has been rapidly growing since 2010. The collaboration network analysis revealed that the USA, University College Cork, and John F. Cryan were the most influential country, institute, and scholar, respectively. The most productive and co-cited journals were and , respectively. The co-citation analysis of references revealed that the most recent research focus was in the largest theme cluster, "cytokines," thus reflecting the important research foundation in this field. The co-occurrence analysis of keywords revealed that "fecal microbiota" and "microbiome" have become the top two research hotspots since 2013. The citation burst detection for keywords identified several keywords, including "Parkinson's disease," "microbiota-gut-brain axis," "microbiome," "dysbiosis," "bipolar disorder," "impact," "C reactive protein," and "immune system," as new research frontiers, which have currently ongoing bursts. These results provide an instructive perspective on the current research and future directions in the study of the links between the gut microbiota and depression, which may help researchers choose suitable cooperators or journals, and promote their research illustrating the underlying molecular mechanisms of depression, including its etiology, prevention, and treatment.

摘要

肠道微生物群与宿主中枢神经系统之间存在关键联系,它们之间的交流通过一条双向途径进行,即所谓的“微生物群-肠道-脑轴”。现代环境中的肠道微生物组因环境因素而发生了显著变化。这些变化可能通过代谢、免疫、神经和内分泌途径与宿主相互作用,从而影响广泛的宿主精神疾病,如抑郁症。然而,尚未通过文献计量分析对肠道微生物群与抑郁症之间联系的总体情况进行系统研究。本研究旨在通过文献计量和可视化分析,剖析抑郁症领域肠道微生物群研究的现状和发展趋势。从科学引文索引核心合集中检索了1999年至2019年间发表的1962篇出版物。使用CiteSpace(5.6 R5)进行合作网络分析、共被引分析、共现分析和引文突发检测。自2010年以来,出版物数量一直在迅速增长。合作网络分析表明,美国、科克大学学院和约翰·F·克莱恩分别是最具影响力的国家、机构和学者。发文量最多和被引频次最高的期刊分别是《》和《》。参考文献的共被引分析表明,最新的研究重点集中在最大的主题聚类“细胞因子”中,这反映了该领域重要的研究基础。关键词共现分析表明,自2013年以来,“粪便微生物群”和“微生物组”已成为前两大研究热点。关键词的引文突发检测确定了几个关键词,包括“帕金森病”、“微生物群-肠道-脑轴”、“微生物组”、“生态失调”、“双相情感障碍”、“影响”、“C反应蛋白”和“免疫系统”,作为当前正在出现突发情况的新研究前沿。这些结果为肠道微生物群与抑郁症之间联系的当前研究和未来方向提供了具有指导意义的视角,这可能有助于研究人员选择合适的合作者或期刊,并推动他们对抑郁症潜在分子机制的研究,包括其病因、预防和治疗。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f253/7819979/54bccfca15c1/fpsyt-11-587670-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f253/7819979/18a81b9a28da/fpsyt-11-587670-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f253/7819979/92e87351672a/fpsyt-11-587670-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f253/7819979/64480f566461/fpsyt-11-587670-g0008.jpg

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