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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Wen Zhang, Juan Li, Shan Lu, Na Han, Jiaojiao Miao, Tingting Zhang, Yujun Qiang, Yanhua Kong, Hong Wang, Tongxin Gao, Yuqing Liu, Xiuwen Li, Xianhui Peng, Xia Chen, Xiaofei Zhao, Jie Che, Ling Zhang, Xi Chen, Qing Zhang, Ming Hu, Qun Li, Biao Kan

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. More... »

PAGES

1594

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-36318-y

DOI

http://dx.doi.org/10.1038/s41598-018-36318-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111979842

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30733472


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36318-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36318-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36318-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36318-y'


 

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