Ontology type: schema:ScholarlyArticle Open Access: True
2021-06-02
AUTHORSQiyun Zhu, Qiangchuan Hou, Shi Huang, Qianying Ou, Dongxue Huo, Yoshiki Vázquez-Baeza, Chaoping Cen, Victor Cantu, Mehrbod Estaki, Haibo Chang, Pedro Belda-Ferre, Ho-Cheol Kim, Kaining Chen, Rob Knight, Jiachao Zhang
ABSTRACTGraves’ Disease is the most common organ-specific autoimmune disease and has been linked in small pilot studies to taxonomic markers within the gut microbiome. Important limitations of this work include small sample sizes and low-resolution taxonomic markers. Accordingly, we studied 162 gut microbiomes of mild and severe Graves’ disease (GD) patients and healthy controls. Taxonomic and functional analyses based on metagenome-assembled genomes (MAGs) and MAG-annotated genes, together with predicted metabolic functions and metabolite profiles, revealed a well-defined network of MAGs, genes and clinical indexes separating healthy from GD subjects. A supervised classification model identified a combination of biomarkers including microbial species, MAGs, genes and SNPs, with predictive power superior to models from any single biomarker type (AUC = 0.98). Global, cross-disease multi-cohort analysis of gut microbiomes revealed high specificity of these GD biomarkers, notably discriminating against Parkinson’s Disease, and suggesting that non-invasive stool-based diagnostics will be useful for these diseases. More... »
PAGES3399-3411
http://scigraph.springernature.com/pub.10.1038/s41396-021-01016-7
DOIhttp://dx.doi.org/10.1038/s41396-021-01016-7
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/34079079
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