1. Effect of diet and intestinal AhR expression on fecal microbiome and metabolomic profiles
- Author
-
Jennifer A. A. DeLuca, Evelyn S. Callaway, Stephen Safe, Fang Yang, Rani Menon, Kyongbum Lee, Robert S. Chapkin, Kerstin K. Landrock, Erika Garcia-Vilarato, Arul Jayaraman, and Clinton D. Allred
- Subjects
DNA, Bacterial ,Metabolite ,lcsh:QR1-502 ,Bioengineering ,Gut flora ,Tryptophan metabolites ,Applied Microbiology and Biotechnology ,lcsh:Microbiology ,Microbiology ,Feces ,Mice ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Metabolomics ,RNA, Ribosomal, 16S ,Basic Helix-Loop-Helix Transcription Factors ,Metabolome ,Animals ,Microbiome ,Intestinal Mucosa ,030304 developmental biology ,Mice, Knockout ,0303 health sciences ,biology ,Research ,AhR ,Tryptophan ,Akkermansia ,biology.organism_classification ,Aryl hydrocarbon receptor ,Diet ,Gastrointestinal Microbiome ,Mice, Inbred C57BL ,Receptors, Aryl Hydrocarbon ,chemistry ,030220 oncology & carcinogenesis ,Colonic Neoplasms ,Models, Animal ,biology.protein ,Female ,Biotechnology - Abstract
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.
- Published
- 2020
- Full Text
- View/download PDF