BGMDB: A curated database linking gut microbiota dysbiosis to brain disorders

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Kai Shi , Qisheng He , Pengyang Zhao , Lin Li , Qiaohui Liu , Zhengxia Wu , Yanjun Wang , Huachen Dong , Juehua Yu
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引用次数: 0

Abstract

The gut microbiota is a fundamental component of human health and has been increasingly implicated in the etiology of neurological disorders. Neurotransmitters, acting as key mediators of gut-brain communication, are closely associated with both the progression and therapeutic modulation of brain diseases. Despite significant advancements in microbiome research, the complex interplay between gut microbiota and neurological disorders remains poorly understood, and a comprehensive resource integrating these associations is lacking. To bridge this gap, we developed the Brain Disease Gut Microbiota Database (BGMDB), a rigorously curated repository documenting experimentally validated relationships between gut microbiota and brain diseases. BGMDB encompasses 1419 associations involving 609 gut microbiota taxa and 43 brain disorders, along with 184 tripartite interactions linking brain diseases, neurotransmitters, and microbiota across six neurotransmitter systems. Additionally, BGMDB integrates genetic data from the gutMGene database, allowing users to explore microbiota-mediated genetic associations with brain disease pathology and neuroanatomical alterations. A user-friendly interface enables researchers to navigate relevant information through graphical query tools, comprehensive browsing functionalities, and data retrieval options. Our BGMDB provides an unparalleled resource for advancing mechanistic insights into gut-brain interactions, facilitating novel microbiota-targeted therapeutic strategies for neurological disorders. BGMDB is freely available at: http://bgmdb.online/bgmdb.
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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