Background
While the association of diet and disease is well documented, the biologic mechanisms involved have not been entirely elucidated. In this study we evaluate how dietary intake influences gene expression to better understand the underlying mechanisms through which diet operates.
Methods
We used data from 144 individuals who had comprehensive dietary intake and gene expression data from RNAseq using normal colonic mucosa. Using the DESeq2 statistical package, we identified genes that displayed statistically significant differences in expression between individuals in high intake and low intake categories for several dietary variables of interest adjusting for age and sex. We examined total calories, total fats, vegetable protein, animal protein, carbohydrates, trans-fatty acids, mutagen index, red meat, processed meat, whole grains, vegetables, fruits, fiber, folate, dairy products, calcium, and Prudent and Western Dietary Patterns.
Results
Using a false discovery rate (FDR) of <0.1, meat-related foods were statistically associated with 68 dysregulated genes, calcium with three dysregulated genes, folate with four dysregulated genes, and non-meat related foods with 65 dysregulated genes. With a more stringent FDR of <0.05, there were nine meat-related dysregulated genes and 23 non-meat related genes. Ingenuity pathway analysis (IPA) identified three major networks among genes identified as dysregulated with respect to meat-related dietary variables and three networks among genes identified as dysregulated with respect to non-meat related variables. The top networks (IPA Network Score >30) associated with meat-related genes were 1) cancer, organismal injury and abnormalities, tumor morphology and 2) cellular function and maintenance, cellular movement, cell death and survival. Among genes related to non-meat consumption variables the top networks were 1) hematological system development and function, nervous system development and function, tissue morphology and 2) connective tissue disorders, organismal injury and abnormalities.
Conclusions
Several dietary factors were associated with gene expression in our data. These findings provide insight into possible mechanisms whereby diet may influence disease processes.