ArticlePharmacogenetics and genomics2016
Dietary intake alters gene expression in colon tissue: possible underlying mechanism for the influence of diet on disease.
Article in Pharmacogenetics and genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Pre-diagnostic Demographic, Lifestyle, and Health History Factors in Association with Secreted Protein Acidic and Rich in Cysteine (SPARC) Expression in Colorectal Cancer Tissue.Biomarker insights · 2025Article
- Exploring the Chemopreventive Effect of Medication on Gene Expression Linked to Colorectal Cancer: An Observational and Mendelian Randomization Analysis in Healthy Colon Mucosa.International journal of molecular sciences · 2024Observational
- Diet Impacts on Gene Expression in Healthy Colon Tissue: Insights from the BarcUVa-Seq Study.Nutrients · 2024Article
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- Polymorphisms, diet and nutrigenomics.Journal of preventive medicine and hygiene · 2022Review
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- Colon transcriptome is modified by a dietary pattern/atorvastatin interaction in the Ossabaw pig.The Journal of nutritional biochemistry · 2021Article
- The p53-signaling pathway and colorectal cancer: Interactions between downstream p53 target genes and miRNAs.Genomics · 2019Article
- Dysregulated genes and miRNAs in the apoptosis pathway in colorectal cancer patients.Apoptosis : an international journal on programmed cell death · 2018Article
- The NF-κB signalling pathway in colorectal cancer: associations between dysregulated gene and miRNA expression.Journal of cancer research and clinical oncology · 2018Article
- Genome-wide characterization of genetic variants and putative regions under selection in meat and egg-type chicken lines.BMC genomics · 2018Article
- Expression of Wnt-signaling pathway genes and their associations with miRNAs in colorectal cancer.Oncotarget · 2018Article
- The MAPK-Signaling Pathway in Colorectal Cancer: Dysregulated Genes and Their Association With MicroRNAs.Cancer informatics · 2018Article
- The co-regulatory networks of tumor suppressor genes, oncogenes, and miRNAs in colorectal cancer.Genes, chromosomes & cancer · 2017Article
- Infrequently expressed miRNAs in colorectal cancer tissue and tumor molecular phenotype.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAlthough the association between 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.
methodsWe 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 showed 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.
resultsUsing a false discovery rate of less than 0.1, meat-related foods were statistically associated with 68 dysregulated genes, calcium with three dysregulated genes, folate with four dysregulated genes, and nonmeat-related foods with 65 dysregulated genes. With a more stringent false discovery rate of less than 0.05, there were nine meat-related dysregulated genes and 23 nonmeat-related genes. Ingenuity pathway analysis 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 nonmeat-related variables. The top networks (Ingenuity Pathway Analysis network score >30) associated with meat-related genes were (i) cancer, organismal injury, and abnormalities, tumor morphology, and (ii) cellular function and maintenance, cellular movement, cell death, and survival. Among genes related to nonmeat consumption variables, the top networks were (i) hematological system development and function, nervous system development and function, tissue morphology and (ii) connective tissue disorders, organismal injury, and abnormalities.
conclusionSeveral dietary factors were associated with gene expression in our data. These findings provide insight into the possible mechanisms by which diet may influence disease processes.
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