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Multi-Omic Analysis of the Microbiome and Metabolome in Healthy Subjects Reveals Microbiome-Dependent Relationships Between Diet and Metabolites

Open access
Tang, Zheng-Zheng, Chen, Guanhua, Hong, Qilin, Huang, Shi, Smith, Holly M., Shah, Rachana D., Scholz, Matthew, Ferguson, Jane F.·2019·Frontiers in Genetics

Abstract

The human microbiome has been associated with health status, and risk of disease development. While the etiology of microbiome-mediated disease remains to be fully elucidated, one mechanism may be through microbial metabolism. Metabolites produced by commensal organisms, including in response to host diet, may affect host metabolic processes, with potentially protective or pathogenic consequences. We conducted multi-omic phenotyping of healthy subjects (N=136), in order to investigate the interaction between diet, the microbiome, and the metabolome in a cross-sectional sample. We analyzed the nutrient composition of self-reported diet (3-day food records and food frequency questionnaires). We profiled the gut and oral microbiome (16S rRNA) from stool and saliva, and applied metabolomic profiling to plasma and stool samples in a subset of individuals (N=75). We analyzed these multi-omic data to investigate the relationship between diet, the microbiome, and the gut and circulating metabolome. On a global level, we observed significant relationships, particularly between long-term diet, the gut microbiome and the metabolome. Intake of plant-derived nutrients as well as consumption of artificial sweeteners were associated with significant differences in circulating metabolites, particularly bile acids, which were dependent on gut enterotype, indicating that microbiome composition mediates the effect of diet on host physiology. Our analysis identifies dietary compounds and phytochemicals that may modulate bacterial abundance within the gut and interact with microbiome composition to alter host metabolism.

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Metadata

Authors
Tang, Z.-Z., Chen, G., Hong, Q., Huang, S., Smith, H. M., Shah, R. D., Scholz, M., & Ferguson, J. F.
Venue
Frontiers in Genetics
Published
2019-05-17
Volume
10
Pages
454-454
ISSN
1664-8021 (ISSN-L)
OpenAlex
W2945425561
Cited by
169
References
28
FWCI
7.16
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Multi-Omic Analysis of the Microbiome and Metabolome in Healthy Subjects Reveals Microbiome-Dependent Relationships Between Diet and Metabolites. https://app.cochat.ai/papers/10.3389/fgene.2019.00454
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Tang, Z.-Z., Chen, G., Hong, Q., Huang, S., Smith, H. M., Shah, R. D., Scholz, M., & Ferguson, J. F. (2019). Multi-Omic Analysis of the Microbiome and Metabolome in Healthy Subjects Reveals Microbiome-Dependent Relationships Between Diet and Metabolites. Frontiers in Genetics. https://doi.org/10.3389/fgene.2019.00454

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