Symbiotic gut microbes modulate human metabolic phenotypes

被引：870

作者：

Li, Min ^{[1
]}

Wang, Baohong ^{[2
]}

Zhang, Menghui ^{[1
]}

Rantalainen, Mattias ^{[6
]}

Wang, Shengyue ^{[5
]}

Zhou, Haokui ^{[1
]}

Zhang, Yan ^{[1
]}

Shen, Jian ^{[1
]}

Pang, Xiaoyan ^{[1
]}

Zhang, Meiling ^{[1
]}

Wei, Hua ^{[1
]}

Chen, Yu ^{[2
]}

Lu, Haifeng ^{[2
]}

Zuo, Jian ^{[2
]}

Su, Mingming ^{[1
]}

Qiu, Yunping ^{[1
]}

Jia, Wei ^{[1
]}

Xiao, Chaoni ^{[3
,4
]}

Smith, Leon M. ^{[6
]}

Yang, Shengli ^{[1
]}

Holmes, Elaine ^{[6
]}

Tang, Huiru ^{[3
]}

Zhao, Guoping ^{[5
]}

Nicholson, Jeremy K. ^{[6
]}

Li, Lanjuan ^{[2
]}

Zhao, Liping ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Shanghai Ctr Syst Biomed, Minist Educ Key Lab Syst Biomed, Shanghai 200240, Peoples R China

[2] Zhejiang Univ, Affiliated Hosp 1, State Key Lab Diagnosis & Treatment Infect Dis, Hangzhou 310003, Peoples R China

[3] Chinese Acad Sci, Wuhan Inst Phys & Math, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan 430071, Peoples R China

[4] Grad Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[5] Chinese Natl Human Genome Ctr, Shanghai MOST Key Lab Dis & Hlth Gen, Shanghai 201203, Peoples R China

[6] Univ London Imperial Coll Sci Technol & Med, Fac Med, Dept Biomol & Med, London SW7 2AZ, England

来源：

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA | 2008年 / 105卷 / 06期

关键词：

covariation analysis; gut microbiota; metabonomics; metabotype; metagenomics;

D O I：

10.1073/pnas.0712038105

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Humans have evolved intimate symbiotic relationships with a consortium of gut microbes (microbiome) and individual variations in the microbiome influence host health, may be implicated in disease etiology, and affect drug metabolism, toxicity, and efficacy. However, the molecular basis of these microbe-host interactions and the roles of individual bacterial species are obscure. We now demonstrate a "transgenomic" approach to link gut microbiome and metabolic phenotype (metabotype) variation. We have used a combination of spectroscopic, microbiomic, and multivariate statistical tools to analyze fecal and urinary samples from seven Chinese individuals (sampled twice) and to model the microbial-host metabolic connectivities. At the species level, we found structural differences in the Chinese family gut microbiomes and those reported for American volunteers, which is consistent with population microbial cometabolic differences reported in epidemiological studies. We also introduce the concept of functional metagenomics, defined as "the characterization of key functional members of the microbiome that most influence host metabolism and hence health." For example, Faecalibacterium prausnitzii population variation is associated with modulation of eight urinary metabolites of diverse structure, indicating that this species is a highly functionally active member of the microbiome, influencing numerous host pathways. Other species were identified showing different and varied metabolic interactions. Our approach for understanding the dynamic basis of host-microbiome symbiosis provides a foundation for the development of functional metagenomics as a probe of systemic effects of drugs and diet that are of relevance to personal and public health care solutions.

引用

页码：2117 / 2122

页数：6

共 38 条

[1] PCR-induced sequence artifacts and bias: Insights from comparison of two 16S rRNA clone libraries constructed from the same sample [J].