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健康中国人肠道微生物群落特征及与疾病相关的微生物模式。

Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people.

机构信息

State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.

Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310003, China.

出版信息

Sci Rep. 2019 Feb 7;9(1):1594. doi: 10.1038/s41598-018-36318-y.

Abstract

China's population accounts for about 1/5 of the world's total population. Owing to differences in environment, race, living habits, and other factors, the structure of the intestinal flora of Chinese individuals is expected to have unique features; however, this has not been thoroughly examined. Here, we collected faecal samples from healthy adults living in three cities of China and investigated their gut microbiome using metagenomics and bioinformatics technology. We found that 11 core bacterial genera were present in all of the Chinese faecal samples; moreover, several patient characteristics (age, region, body mass index, physical exercise, smoking habits, and alcoholic drink, and yogurt consumption) were found to have different effects on the gut microbiome of healthy Chinese people. We also examined the distribution patterns of disease-related microorganisms (DRMs), revealing which DRMs can potentially be used as markers for assessment of health risk. We also developed a program called "Guthealthy" for evaluating the health status associated with the microbiome and DRM pattern in the faecal samples. The microbiota data obtained in this study will provide a basis for a healthy gut microbiome composition in the Chinese population.

摘要

中国的人口占世界总人口的约 1/5。由于环境、种族、生活习惯等因素的差异,中国人的肠道菌群结构预计具有独特的特征;然而,这尚未得到彻底研究。在这里,我们收集了来自中国三个城市的健康成年人的粪便样本,并使用宏基因组学和生物信息学技术研究了他们的肠道微生物组。我们发现 11 个核心细菌属存在于所有中国粪便样本中;此外,一些患者特征(年龄、地区、体重指数、体育锻炼、吸烟习惯、饮酒和酸奶消费)被发现对健康中国人的肠道微生物组有不同的影响。我们还检查了与疾病相关的微生物(DRM)的分布模式,揭示了哪些 DRM 可以潜在地用作评估健康风险的标志物。我们还开发了一个名为“Guthealthy”的程序,用于评估粪便样本中与微生物组和 DRM 模式相关的健康状况。本研究获得的微生物组数据将为中国人健康肠道微生物组组成提供基础。

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