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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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 |
format | Article |
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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.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-018-36318-y</identifier><identifier>PMID: 30733472</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>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</subject><ispartof>Scientific reports, 2019-02, Vol.9 (1), p.1594, Article 1594</ispartof><rights>The Author(s) 2019</rights><rights>This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c598t-1dc886a413b7b1ca8e40215eb517f2bba78070d19a85900aaa6e720315c7d00d3</citedby><cites>FETCH-LOGICAL-c598t-1dc886a413b7b1ca8e40215eb517f2bba78070d19a85900aaa6e720315c7d00d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367356/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367356/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30733472$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Wen</creatorcontrib><creatorcontrib>Li, Juan</creatorcontrib><creatorcontrib>Lu, Shan</creatorcontrib><creatorcontrib>Han, Na</creatorcontrib><creatorcontrib>Miao, Jiaojiao</creatorcontrib><creatorcontrib>Zhang, Tingting</creatorcontrib><creatorcontrib>Qiang, Yujun</creatorcontrib><creatorcontrib>Kong, Yanhua</creatorcontrib><creatorcontrib>Wang, Hong</creatorcontrib><creatorcontrib>Gao, Tongxin</creatorcontrib><creatorcontrib>Liu, Yuqing</creatorcontrib><creatorcontrib>Li, Xiuwen</creatorcontrib><creatorcontrib>Peng, Xianhui</creatorcontrib><creatorcontrib>Chen, Xia</creatorcontrib><creatorcontrib>Zhao, Xiaofei</creatorcontrib><creatorcontrib>Che, Jie</creatorcontrib><creatorcontrib>Zhang, Ling</creatorcontrib><creatorcontrib>Chen, Xi</creatorcontrib><creatorcontrib>Zhang, Qing</creatorcontrib><creatorcontrib>Hu, Ming</creatorcontrib><creatorcontrib>Li, Qun</creatorcontrib><creatorcontrib>Kan, Biao</creatorcontrib><title>Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><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.</description><subject>45/77</subject><subject>631/326/107</subject><subject>631/326/2565/2134</subject><subject>Adolescent</subject><subject>Bioinformatics</subject><subject>Body mass index</subject><subject>China</subject><subject>Digestive system</subject><subject>Disease</subject><subject>Feces - microbiology</subject><subject>Female</subject><subject>Flora</subject><subject>Gastrointestinal Microbiome</subject><subject>Gastrointestinal tract</subject><subject>Health risks</subject><subject>Healthy Volunteers</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Intestinal microflora</subject><subject>Intestine</subject><subject>Male</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Population</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Smoking</subject><subject>Yogurt</subject><subject>Young Adult</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU-L1TAUxYMozjDOF3AhATduqvnTNO1GkIeOwoAbXYfb9L7XDG1Sk1QozIc32nEcXZhFEri_e25ODiHPOXvNmWzfpJqrrq0YbyvZyLJvj8i5YLWqhBTi8YP7GblM6YaVpURX8-4pOZNMS1lrcU5ur9ZMZ2dj6F3IQG2Y59W7vFE7QgSbMbqUnU0U_EAHlxASVhEnyDjsjSGewLs00wVywT11ngJdwrIWyAVPw5GOCFMeN3oYnceEdMGwTPiMPDnClPDy7rwgXz-8_3L4WF1_vvp0eHdd2WIxV3ywbdtAzWWve26hxZoJrrBXXB9F34NumWYD76BVHWMA0KAWTHJl9cDYIC_I2113WfsZB4s-R5jMEt0McTMBnPm74t1oTuG7aWSjpWqKwKs7gRi-rZiymV2yOE3gMazJCCE61skSREFf_oPehDX6Ys8IrhvNuqZThRI7Vf4vpYjH-8dwZn7ma_Z8TcnX_MrXbKXpxUMb9y2_0yyA3IFUSv6E8c_s_8j-ADHztE4</recordid><startdate>20190207</startdate><enddate>20190207</enddate><creator>Zhang, Wen</creator><creator>Li, Juan</creator><creator>Lu, Shan</creator><creator>Han, Na</creator><creator>Miao, Jiaojiao</creator><creator>Zhang, Tingting</creator><creator>Qiang, Yujun</creator><creator>Kong, Yanhua</creator><creator>Wang, Hong</creator><creator>Gao, Tongxin</creator><creator>Liu, Yuqing</creator><creator>Li, Xiuwen</creator><creator>Peng, Xianhui</creator><creator>Chen, Xia</creator><creator>Zhao, Xiaofei</creator><creator>Che, Jie</creator><creator>Zhang, Ling</creator><creator>Chen, Xi</creator><creator>Zhang, Qing</creator><creator>Hu, Ming</creator><creator>Li, Qun</creator><creator>Kan, Biao</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190207</creationdate><title>Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c598t-1dc886a413b7b1ca8e40215eb517f2bba78070d19a85900aaa6e720315c7d00d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>45/77</topic><topic>631/326/107</topic><topic>631/326/2565/2134</topic><topic>Adolescent</topic><topic>Bioinformatics</topic><topic>Body mass index</topic><topic>China</topic><topic>Digestive system</topic><topic>Disease</topic><topic>Feces - microbiology</topic><topic>Female</topic><topic>Flora</topic><topic>Gastrointestinal Microbiome</topic><topic>Gastrointestinal tract</topic><topic>Health risks</topic><topic>Healthy Volunteers</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Intestinal microflora</topic><topic>Intestine</topic><topic>Male</topic><topic>Microbiomes</topic><topic>Microbiota</topic><topic>Microorganisms</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Population</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Smoking</topic><topic>Yogurt</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Wen</creatorcontrib><creatorcontrib>Li, Juan</creatorcontrib><creatorcontrib>Lu, Shan</creatorcontrib><creatorcontrib>Han, Na</creatorcontrib><creatorcontrib>Miao, Jiaojiao</creatorcontrib><creatorcontrib>Zhang, Tingting</creatorcontrib><creatorcontrib>Qiang, Yujun</creatorcontrib><creatorcontrib>Kong, Yanhua</creatorcontrib><creatorcontrib>Wang, Hong</creatorcontrib><creatorcontrib>Gao, Tongxin</creatorcontrib><creatorcontrib>Liu, Yuqing</creatorcontrib><creatorcontrib>Li, Xiuwen</creatorcontrib><creatorcontrib>Peng, Xianhui</creatorcontrib><creatorcontrib>Chen, Xia</creatorcontrib><creatorcontrib>Zhao, Xiaofei</creatorcontrib><creatorcontrib>Che, Jie</creatorcontrib><creatorcontrib>Zhang, Ling</creatorcontrib><creatorcontrib>Chen, Xi</creatorcontrib><creatorcontrib>Zhang, Qing</creatorcontrib><creatorcontrib>Hu, Ming</creatorcontrib><creatorcontrib>Li, Qun</creatorcontrib><creatorcontrib>Kan, Biao</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Wen</au><au>Li, Juan</au><au>Lu, Shan</au><au>Han, Na</au><au>Miao, Jiaojiao</au><au>Zhang, Tingting</au><au>Qiang, Yujun</au><au>Kong, Yanhua</au><au>Wang, Hong</au><au>Gao, Tongxin</au><au>Liu, Yuqing</au><au>Li, Xiuwen</au><au>Peng, Xianhui</au><au>Chen, Xia</au><au>Zhao, Xiaofei</au><au>Che, Jie</au><au>Zhang, Ling</au><au>Chen, Xi</au><au>Zhang, Qing</au><au>Hu, Ming</au><au>Li, Qun</au><au>Kan, Biao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2019-02-07</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>1594</spage><pages>1594-</pages><artnum>1594</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>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.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30733472</pmid><doi>10.1038/s41598-018-36318-y</doi><oa>free_for_read</oa></addata></record> |
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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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