PsycGM: a comprehensive database for associations between gut microbiota and psychiatric disorders

IF 9.6 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Dongfang Wang, Siwen Gui, Juncai Pu, Xiaogang Zhong, Li Yan, Zhuocan Li, Xiangkun Tao, Dan Yang, Haipeng Zhou, Renjie Qiao, Hanping Zhang, Xiangyu Cheng, Yi Ren, Weiyi Chen, Xiaopeng Chen, Wei Tao, Yue Chen, Xiang Chen, Yiyun Liu, Peng Xie
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引用次数: 0

Abstract

Psychiatric disorders pose substantial global burdens on public health, yet therapeutic options remain limited. Recently, gut microbiota is in the spotlight of new research on psychiatric disorders, as emerging discoveries have highlighted the importance of gut microbiome in the regulation of central nervous system via mediating the gut-brain-axis bidirectional communication. While metagenomics studies have accumulated for psychiatric disorders, few systematic efforts were dedicated to integrating these high-throughput data across diverse phenotypes, interventions, geographical regions, and biological species. To present a panoramic view of global data and provide a comprehensive resource for investigating the gut microbiota dysbiosis in psychiatric disorders, we developed the PsycGM, a manually curated and well-annotated database that provides the literature-supported associations between gut microbiota and psychiatric disorders or intervention measures. In total, PsycGM incorporated 559 studies from 31 countries worldwide, encompassing research involving humans, rats, mice, and non-human primates. PsycGM documented 8907 curated associations between 1514 gut microbial taxa and 11 psychiatric disorders, as well as 4050 associations between 869 taxa and 232 microbiota-based and non-microbiota-based interventions. Moreover, PsycGM provided a user-friendly web interface with comprehensive information, enabling browsing, retrieving and downloading of all entries. In the application of PsycGM, we panoramically depicted the intestinal microecological imbalance in depression. Additionally, we identified 9 microbial taxa consistently altered in patients with depression, with the most common dysregulations observed for Parabacteroides, Alistipes, and Faecalibacterium; in animal models of depression, consistent changes were observed in 21 microbial taxa, most frequently reported as Helicobacter, Lactobacillus, Roseburia, and the ratio of Firmicutes/Bacteroidetes. PsycGM is a comprehensive resource for future investigations on the role of gut microbiota in mental and brain health, and for therapeutic target innovations based on modifications of gut microbiota. PsycGM is freely accessed at http://psycgmomics.info.

Abstract Image

psygm:肠道微生物群与精神疾病之间关联的综合数据库
精神疾病对全球公共卫生造成巨大负担,但治疗选择仍然有限。近年来,肠道微生物群成为精神疾病新研究的焦点,因为新发现强调了肠道微生物群通过介导肠-脑-轴双向通讯调节中枢神经系统的重要性。虽然对精神疾病的宏基因组学研究已经积累起来,但很少有系统的努力致力于整合这些跨不同表型、干预、地理区域和生物物种的高通量数据。为了呈现全球数据的全景视图,并为研究精神疾病中的肠道微生物群失调提供全面的资源,我们开发了psygm,这是一个人工管理和注释良好的数据库,提供了文献支持的肠道微生物群与精神疾病或干预措施之间的关联。psygm总共纳入了来自全球31个国家的559项研究,包括人类、大鼠、小鼠和非人类灵长类动物的研究。psygm记录了1514种肠道微生物类群与11种精神疾病之间的8907种关联,以及869种类群与232种基于微生物群和非微生物群的干预措施之间的4050种关联。此外,psygm提供了一个用户友好的网络界面,提供全面的信息,使浏览,检索和下载所有条目。在psygm的应用中,我们全景地描绘了抑郁症患者肠道微生态失衡的情况。此外,我们确定了9个微生物类群在抑郁症患者中持续改变,其中最常见的失调是Parabacteroides, Alistipes和Faecalibacterium;在抑郁症动物模型中,21个微生物类群发生了一致的变化,其中最常见的是幽门螺杆菌、乳酸杆菌、玫瑰杆菌和厚壁菌门/拟杆菌门的比例。psygm是未来研究肠道微生物群在精神和大脑健康中的作用以及基于肠道微生物群修饰的治疗靶点创新的综合资源。psygm可在http://psycgmomics.info免费访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular Psychiatry
Molecular Psychiatry 医学-精神病学
CiteScore
20.50
自引率
4.50%
发文量
459
审稿时长
4-8 weeks
期刊介绍: Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.
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