Combing fecal microbial community data to identify consistent obesity-specific microbial signatures and shared metabolic pathways.

Autor:	Lin Y; Microbiota I-Center (MagIC), Hong Kong SAR, China.; Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.; Department of Medicine and Therapeutics, Institute of Digestive Disease, Li Ka Shing Institute of Health Sciences, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China., Xu Z; Microbiota I-Center (MagIC), Hong Kong SAR, China.; Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.; Department of Medicine and Therapeutics, Institute of Digestive Disease, Li Ka Shing Institute of Health Sciences, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China., Yeoh YK; Microbiota I-Center (MagIC), Hong Kong SAR, China.; Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.; Department of Microbiology, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China., Tun HM; Microbiota I-Center (MagIC), Hong Kong SAR, China.; Jockey Club School of Public Health and Primary Care, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China., Huang W; Microbiota I-Center (MagIC), Hong Kong SAR, China.; Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.; Department of Medicine and Therapeutics, Institute of Digestive Disease, Li Ka Shing Institute of Health Sciences, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China., Jiang W; Microbiota I-Center (MagIC), Hong Kong SAR, China.; Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.; Department of Medicine and Therapeutics, Institute of Digestive Disease, Li Ka Shing Institute of Health Sciences, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China., Chan FKL; Microbiota I-Center (MagIC), Hong Kong SAR, China.; Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.; Department of Medicine and Therapeutics, Institute of Digestive Disease, Li Ka Shing Institute of Health Sciences, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China., Ng SC; Microbiota I-Center (MagIC), Hong Kong SAR, China.; Center for Gut Microbiota Research, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.; Department of Medicine and Therapeutics, Institute of Digestive Disease, Li Ka Shing Institute of Health Sciences, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.
Jazyk:	angličtina
Zdroj:	IScience [iScience] 2023 Mar 22; Vol. 26 (4), pp. 106476. Date of Electronic Publication: 2023 Mar 22 (Print Publication: 2023).
DOI:	10.1016/j.isci.2023.106476
Abstrakt:	Obesity is associated with altered gut microbiome composition but data across different populations remain inconsistent. We meta-analyzed publicly available 16S-rRNA sequence datasets from 18 different studies and identified differentially abundant taxa and functional pathways of the obese gut microbiome. Most differentially abundant genera ( Odoribacter , Oscillospira , Akkermansia, Alistipes , and Bacteroides ) were depleted in obesity, indicating a deficiency of commensal microbes in the obese gut microbiome. From microbiome functional pathways, elevated lipid biosynthesis and depleted carbohydrate and protein degradation suggested metabolic adaptation to high-fat, low-carbohydrate, and low-protein diets in obese individuals. Machine learning models trained on the 18 studies were modest in predicting obesity with a median AUC of 0.608 using 10-fold cross-validation. The median AUC increased to 0.771 when models were trained in eight studies designed for investigating obesity-microbiome association. By meta-analyzing obesity-associated microbiota signatures, we identified obesity-associated depleted taxa that may be exploited to mitigate obesity and related metabolic diseases. Competing Interests: F.K.L.C. is the co-founder, non-executive Board Chairman and shareholder of GenieBiome Ltd. F.K.L.C. is Board Member of CUHK Medical Center. F.K.L.C. has received fees as an advisor and honoraria as a speaker for Eisai Co. Ltd., AstraZeneca, Pfizer Inc., Takeda Pharmaceutical Co., and Takeda (China) Holdings Co. Ltd. F.K.L.C. receives patent royalties through his affiliated institutions in the applications of microbiome. S.C.N. is a scientific co-founder and shareholder of GenieBiome Ltd. S.C.N. has served as an advisory board member for Pfizer, Ferring, Janssen, and Abbvie and received honoraria as a speaker for Ferring, Tillotts, Menarini, Janssen, Abbvie, and Takeda. S.C.N. has received research grants through her affiliated institutions from Olympus, Ferring, and Abbvie. S.C.N. receives patent royalties through her affiliated institutions in the applications of microbiome. Z.X. is part-time employee of GenieBiome Ltd. S.C.N., F.K.L.C., and Z.X. are named inventors of patent applications held by the CUHK and MagIC that covers the therapeutic and diagnostic use of microbiome related to obesity. All other co-authors declare no competing interests. (© 2023 The Authors.)
Databáze:	MEDLINE
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