Impact of various high fat diets on gene expression and the microbiome across the mouse intestines
Year: 2023
Type: article
Abstract: High fat diets (HFDs) have been linked to several diseases including obesity, diabetes, fatty liver, inflammatory bowel disease (IBD) and colon cancer. In this study, we examined the impact on intestinal gene expression of three isocaloric HFDs that differed only in their fatty acid composition-coconut oil (saturated fats), conventional soybean oil (polyunsaturated fats) and a genetically modified soybean oil (monounsaturated fats). Four functionally distinct segments of the mouse intestinal tract were analyzed using RNA-seq-duodenum, jejunum, terminal ileum and proximal colon. We found considerable dysregulation of genes in multiple tissues with the different diets, including those encoding nuclear receptors and genes involved in xenobiotic and drug metabolism, epithelial barrier function, IBD and colon cancer as well as genes associated with the microbiome and COVID-19. Network analysis shows that genes involved in metabolism tend to be upregulated by the HFDs while genes related to the immune system are downregulated; neurotransmitter signaling was also dysregulated by the HFDs. Genomic sequencing also revealed a microbiome altered by the HFDs. This study highlights the potential impact of different HFDs on gut health with implications for the organism as a whole and will serve as a reference for gene expression along the length of the intestines.
Source: Scientific Reports
Language: English
Topic: Gut microbiota and health
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,390
Funders: National Science Foundation, U.S. Department of Agriculture, University of California Institute for Mexico and the United States, Consejo Nacional de Ciencia y Tecnología, National Institutes of Health, National Institute of Food and Agriculture, University of California, Riverside, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Environmental Health Sciences
Awards: Acquisition of a Scalable Storage Cluster for Data Intensive NIH Research, Research Infrastructure: MRI: Acquisition of a Big Data HPC Cluster for Interdisciplinary Research and Training, G4279501250, MRI: Acquisition of a Big Data Compute Cluster for Interdisciplinary Research, Balance between HNF4a isoforms in the carbohydrate-lipid metabolic switch, Research Training in Environmental Toxicology
OpenAlex ID: W4390274177
