微生物群
运动员
肠道微生物群
人体生理学
生物信息学
生物
计算生物学
生理学
计算机科学
数据科学
医学
心理学
物理疗法
内分泌学
作者
Laura Mancin,Ian Rollo,João Felipe Mota,Fabio Piccini,Mattia Carletti,Gian Antonio Susto,Giorgio Valle,Antonio Paoli
出处
期刊:Exercise and Sport Sciences Reviews
日期:2020-10-12
卷期号:49 (1): 42-49
被引量:12
标识
DOI:10.1249/jes.0000000000000236
摘要
Gut microbiome influences athletes' physiology, but because of the complexity of sport performance and the great intervariability of microbiome features, it is not reasonable to define a single healthy microbiota profile for athletes. We suggest the use of specific meta-omics analysis coupled with innovative computational systems to uncover the hidden association between microbes and athlete's physiology and predict personalized recommendation.
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