Han Maozhen, Yang Kun, Yang Pengshuo, Zhong Chaofang, Chen Chaoyun, Wang Song, Lu Qunwei, Ning Kang
Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology , Wuhan, Hubei, China.
School of Life Sciences, Anhui Medical University , Hefei, Anhui, China.
Gut Microbes. 2020 Nov 9;12(1):1-18. doi: 10.1080/19490976.2020.1842991.
Gut microbial communities of athletes differ from that of sedentary persons in both diversity and the presence of certain taxa. However, it is unclear to what degree elite athletes and non-elite athletes harbor different gut microbial community patterns and if we can effectively monitor the potential of athletes based on microbiota. A team of professional female rowing athletes in China was recruited and 306 fecal samples were collected from 19 individuals, which were separated into three cohorts: adult elite athlete's (AE), youth elite athlete's (YE), and youth non-elite athlete's (YN). The differences in gut microbiome among different cohorts were compared, and their associations with dietary factors, physical characteristics, and athletic performance were investigated. The microbial diversities of elite athletes were higher than those of youth non-elite athletes. The taxonomical, functional, and phenotypic compositions of AE, YE and YN were significantly different. Additionally, three enterotypes with clear separation were identified in athlete's fecal samples, with majority of elite athletes stratified into enterotype 3. And this enterotype-dependent gut microbiome is strongly associated with athlete performances. These differences in athlete gut microbiota lead to establishment of a random forest classifier based on taxonomical and functional biomarkers, capable of differentiating elite athletes and non-elite athletes with high accuracy. Finally, these versatilities of athlete microbial communities of athletes were found to be associated with dietary factors and physical characteristics, which can in concert explain 41% of the variability in gut microbiome.
运动员的肠道微生物群落与久坐不动的人的肠道微生物群落在多样性和某些分类群的存在方面存在差异。然而,目前尚不清楚精英运动员和非精英运动员在多大程度上拥有不同的肠道微生物群落模式,以及我们是否可以基于微生物群有效地监测运动员的潜力。招募了一组中国职业女子赛艇运动员,并从19名个体中收集了306份粪便样本,这些样本被分为三个队列:成年精英运动员(AE)、青年精英运动员(YE)和青年非精英运动员(YN)。比较了不同队列之间肠道微生物组的差异,并研究了它们与饮食因素、身体特征和运动表现的关联。精英运动员的微生物多样性高于青年非精英运动员。AE、YE和YN的分类、功能和表型组成存在显著差异。此外,在运动员的粪便样本中鉴定出三种明显分离的肠型,大多数精英运动员被分层为肠型3。这种依赖肠型的肠道微生物群与运动员的表现密切相关。运动员肠道微生物群的这些差异导致基于分类和功能生物标志物建立随机森林分类器,能够高精度地区分精英运动员和非精英运动员。最后,发现运动员微生物群落的这些多样性与饮食因素和身体特征有关,它们共同可以解释肠道微生物组中41%的变异性。