Symbiotic gut microbes modulate human metabolic phenotypes

Min Li(Shanghai Jiao Tong University), Baohong Wang(First Affiliated Hospital Zhejiang University), Menghui Zhang(Shanghai Jiao Tong University), Mattias Rantalainen(Imperial College London), Shengyue Wang(Chinese National Human Genome Center), Haokui Zhou(Shanghai Jiao Tong University), Yan Zhang(Shanghai Jiao Tong University), Jian Shen(Shanghai Jiao Tong University), Xiaoyan Pang(Shanghai Jiao Tong University), Meiling Zhang(Shanghai Jiao Tong University), Hua Wei(Shanghai Jiao Tong University), Yu Chen(First Affiliated Hospital Zhejiang University), Hai‐Feng Lü(First Affiliated Hospital Zhejiang University), Jianping Zuo(First Affiliated Hospital Zhejiang University), Mingming Su(Shanghai Jiao Tong University), Yunping Qiu(Shanghai Jiao Tong University), Wei Jia(Shanghai Jiao Tong University), Chaoni Xiao(Chinese Academy of Sciences), Leon M. Smith(Imperial College London), Shengli Yang(Shanghai Jiao Tong University), Elaine Holmes(Imperial College London), Huiru Tang(Chinese Academy of Sciences), Guoping Zhao(Chinese National Human Genome Center), Jeremy K. Nicholson(Imperial College London), Lanjuan Li(First Affiliated Hospital Zhejiang University), Liping Zhao(Shanghai Jiao Tong University)
Proceedings of the National Academy of Sciences
February 6, 2008
Cited by 1,143Open Access
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Abstract

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.


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