TY - JOUR
T1 - Symbiotic gut microbes modulate human metabolic phenotypes
AU - Li, Min
AU - Wang, Baohong
AU - Zhang, Menghui
AU - Rantalainen, Mattias
AU - Wang, Shengyue
AU - Zhou, Haokui
AU - Zhang, Yan
AU - Shen, Jian
AU - Pang, Xiaoyan
AU - Zhang, Meiling
AU - Wei, Hua
AU - Chen, Yu
AU - Lu, Haifeng
AU - Zuo, Jian
AU - Su, Mingming
AU - Qiu, Yunping
AU - Jia, Wei
AU - Xiao, Chaoni
AU - Smith, Leon M.
AU - Yang, Shengli
AU - Holmes, Elaine
AU - Tang, Huiru
AU - Zhao, Guoping
AU - Nicholson, Jeremy K.
AU - Li, Lanjuan
AU - Zhao, Liping
PY - 2008/2/12
Y1 - 2008/2/12
N2 - 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.
AB - 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.
KW - Covariation analysis
KW - Gut microbiota
KW - Metabonomics
KW - Metabotype
KW - Metagenomics
UR - http://www.scopus.com/inward/record.url?scp=41149099000&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=41149099000&partnerID=8YFLogxK
U2 - 10.1073/pnas.0712038105
DO - 10.1073/pnas.0712038105
M3 - Article
C2 - 18252821
AN - SCOPUS:41149099000
SN - 0027-8424
VL - 105
SP - 2117
EP - 2122
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 6
ER -