Effect of diet and intestinal AhR expression on fecal microbiome and metabolomic profiles.

Autor: Yang F; Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA., DeLuca JAA; Department of Nutrition, Texas A&M University, College Station, TX, USA., Menon R; Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA., Garcia-Vilarato E; Department of Nutrition, Texas A&M University, College Station, TX, USA., Callaway E; Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA., Landrock KK; Department of Nutrition, Texas A&M University, College Station, TX, USA., Lee K; Department of Chemical and Biological Engineering, Tufts University, Medford, MA, USA., Safe SH; Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, USA., Chapkin RS; Department of Nutrition, Texas A&M University, College Station, TX, USA., Allred CD; Department of Nutrition, Texas A&M University, College Station, TX, USA., Jayaraman A; Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA. arulj@tamu.edu.; Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA. arulj@tamu.edu.
Jazyk: angličtina
Zdroj: Microbial cell factories [Microb Cell Fact] 2020 Nov 30; Vol. 19 (1), pp. 219. Date of Electronic Publication: 2020 Nov 30.
DOI: 10.1186/s12934-020-01463-5
Abstrakt: Background: Diet, loss of aryl hydrocarbon receptor (AhR) expression and their modification of the gut microbiota community composition and its metabolites affect the development of colorectal cancer (CRC). However, the concordance between fecal microbiota composition and the fecal metabolome is poorly understood. Mice with specific AhR deletion (AhRKO) in intestinal epithelial cell and their wild-type littermates were fed a low-fat diet or a high-fat diet. Shifts in the fecal microbiome and metabolome associated with diet and loss of AhR expression were assessed. Microbiome and metabolome data were integrated to identify specific microbial taxa that contributed to the observed metabolite shifts.
Results: Our analysis shows that diet has a more pronounced effect on mouse fecal microbiota composition than the impact of the loss of AhR. In contrast, metabolomic analysis showed that the loss of AhR in intestinal epithelial cells had a more pronounced effect on metabolite profile compared to diet. Integration analysis of microbiome and metabolome identified unclassified Clostridiales, unclassified Desulfovibrionaceae, and Akkermansia as key contributors to the synthesis and/or utilization of tryptophan metabolites.
Conclusions: Akkermansia are likely to contribute to the synthesis and/or degradation of tryptophan metabolites. Our study highlights the use of multi-omic analysis to investigate the relationship between the microbiome and metabolome and identifies possible taxa that can be targeted to manipulate the microbiome for CRC treatment.
Databáze: MEDLINE
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