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Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people.
Sci Rep 2019; 9(1):1594SR

Abstract

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

Authors+Show Affiliations

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.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.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.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.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.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.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.The 2nd Department of Pulmonary Disease in TCM, The Key Unit of SATCM Pneumonopathy Chronic Cough and Dyspnea, Beijing Key Laboratory of Prevention and Treatment of Allergic Diseases with TCM (No. BZ0321), Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital; National Clinical Research Center for Respiratory Diseases; No. 2, East Yinghua Road, Chaoyang District, Beijing, China, 100029.Zigong Center for Disease Control and Prevention, Zigong, China.Nephrology Department, Aviation General Hospital of China Medical University, Beijing, 100012, China.Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agriculture Science, Beijing, China.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.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.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.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.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.Zigong Center for Disease Control and Prevention, Zigong, China.Zigong Center for Disease Control and Prevention, Zigong, China.Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agriculture Science, Beijing, China.Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agriculture Science, Beijing, China.Zigong Center for Disease Control and Prevention, Zigong, China.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. kanbiao@icdc.cn. Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310003, China. kanbiao@icdc.cn.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

30733472

Citation

Zhang, Wen, et al. "Gut Microbiota Community Characteristics and Disease-related Microorganism Pattern in a Population of Healthy Chinese People." Scientific Reports, vol. 9, no. 1, 2019, p. 1594.
Zhang W, Li J, Lu S, et al. Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people. Sci Rep. 2019;9(1):1594.
Zhang, W., Li, J., Lu, S., Han, N., Miao, J., Zhang, T., ... Kan, B. (2019). Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people. Scientific Reports, 9(1), p. 1594. doi:10.1038/s41598-018-36318-y.
Zhang W, et al. Gut Microbiota Community Characteristics and Disease-related Microorganism Pattern in a Population of Healthy Chinese People. Sci Rep. 2019 Feb 7;9(1):1594. PubMed PMID: 30733472.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people. AU - Zhang,Wen, AU - Li,Juan, AU - Lu,Shan, AU - Han,Na, AU - Miao,Jiaojiao, AU - Zhang,Tingting, AU - Qiang,Yujun, AU - Kong,Yanhua, AU - Wang,Hong, AU - Gao,Tongxin, AU - Liu,Yuqing, AU - Li,Xiuwen, AU - Peng,Xianhui, AU - Chen,Xia, AU - Zhao,Xiaofei, AU - Che,Jie, AU - Zhang,Ling, AU - Chen,Xi, AU - Zhang,Qing, AU - Hu,Ming, AU - Li,Qun, AU - Kan,Biao, Y1 - 2019/02/07/ PY - 2018/06/05/received PY - 2018/11/14/accepted PY - 2019/2/9/entrez PY - 2019/2/9/pubmed PY - 2019/2/9/medline SP - 1594 EP - 1594 JF - Scientific reports JO - Sci Rep VL - 9 IS - 1 N2 - China's population accounts for about 1/5th 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. SN - 2045-2322 UR - https://www.unboundmedicine.com/medline/citation/30733472/Gut_microbiota_community_characteristics_and_disease-related_microorganism_pattern_in_a_population_of_healthy_Chinese_people L2 - http://dx.doi.org/10.1038/s41598-018-36318-y DB - PRIME DP - Unbound Medicine ER -