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

China’s population accounts for about 1/5 th 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....

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Veröffentlicht in:Scientific reports 2019-02, Vol.9 (1), p.1594, Article 1594
Hauptverfasser: Zhang, Wen, Li, Juan, Lu, Shan, Han, Na, Miao, Jiaojiao, Zhang, Tingting, Qiang, Yujun, Kong, Yanhua, Wang, Hong, Gao, Tongxin, Liu, Yuqing, Li, Xiuwen, Peng, Xianhui, Chen, Xia, Zhao, Xiaofei, Che, Jie, Zhang, Ling, Chen, Xi, Zhang, Qing, Hu, Ming, Li, Qun, Kan, Biao
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container_issue 1
container_start_page 1594
container_title Scientific reports
container_volume 9
creator Zhang, Wen
Li, Juan
Lu, Shan
Han, Na
Miao, Jiaojiao
Zhang, Tingting
Qiang, Yujun
Kong, Yanhua
Wang, Hong
Gao, Tongxin
Liu, Yuqing
Li, Xiuwen
Peng, Xianhui
Chen, Xia
Zhao, Xiaofei
Che, Jie
Zhang, Ling
Chen, Xi
Zhang, Qing
Hu, Ming
Li, Qun
Kan, Biao
description China’s population accounts for about 1/5 th 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.
doi_str_mv 10.1038/s41598-018-36318-y
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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. 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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. 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subjects 45/77
631/326/107
631/326/2565/2134
Adolescent
Bioinformatics
Body mass index
China
Digestive system
Disease
Feces - microbiology
Female
Flora
Gastrointestinal Microbiome
Gastrointestinal tract
Health risks
Healthy Volunteers
Humanities and Social Sciences
Humans
Intestinal microflora
Intestine
Male
Microbiomes
Microbiota
Microorganisms
Middle Aged
multidisciplinary
Population
Science
Science (multidisciplinary)
Smoking
Yogurt
Young Adult
title Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people
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