Genetic Variability Impacts Genotoxic and Transcriptome Responses in the Human Colon after the Consumption of Processed Red Meat Products and Those with Added Phytochemical Extracts
DeBenedictis JN, Baars E, Ochoteco-Asensio J, van Breda SG, de Kok TM
Nutrients · 5 citations
Review labels
Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.
How it was studied
- Design
- Systematic review (indexed by PubMed)
- Studied in
- People
- Main outcome
- Mechanisms only
- Intake measured by
- Not stated
Who paid for it
- Funding
- Independent funding
- Government
- FP7 EU-project PHYTOME
Based on 1 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2024-01-31 · Nutrients · vol. 16 · issue 3 · p. 425
- Publisher
- Multidisciplinary Digital Publishing Institute
- Cited
- 8 citations · more than 90% of similar papers · 2.8× the field average
- References
- 90 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Nutrition, Genetics, and Disease · Consumer Attitudes and Food Labeling · Glutathione Transferases and Polymorphisms
- Keywords
- Biology, Genotype, Genetics, Transcriptome, Allele, Single-nucleotide polymorphism, Genetic variation, Wild type, Genetic variability, Gene, Gene expression
- MeSH
- colon, humans, dna damage, nitroso compounds, dna adducts, meat, meat products, transcriptome, red meat
5 authors
From NL
- Julia Nicole DeBenedictisMaastricht University
- Esther BaarsMaastricht University
- Juan Ochoteco AsensioMaastricht University
- Simone G. van Breda · correspondingMaastricht University
- Theo M. C. M. de KokMaastricht University
Abstract
The PHYTOME study investigated the effect of consuming processed meat products on outcomes related to colorectal cancer risk without testing the impact of genetic variability on these responses. This research aims to elucidate the genetic impact on apparent total N-nitroso compound (ATNC) excretion, colonic DNA adduct formation, ex vivo-induced DNA damage, and gene expression changes in colon biopsies of healthy participants. Through a systematic literature review, candidate polymorphisms were selected and then detected using TaqMan and PCR analysis. The effect of genotype on study outcomes was determined via a linear mixed model and analysis of variance. Machine learning was used to evaluate relative allele importance concerning genotoxic responses, which established a ranking of the most protective alleles and a combination of genotypes (gene scores). Participants were grouped by GSTM1 genotype and differentially expressed genes (DEGs), and overrepresented biological pathways were compared between groups. Stratifying participants by ten relevant genes revealed significant variations in outcome responses. After consumption of processed red meat, variations in NQO1 and COMT impacted responses in ATNC levels (µmol/L) (+9.56 for wildtype vs. heterozygous) and DNA adduct levels (pg/µg DNA) (+1.26 for variant vs. wildtype and +0.43 for variant vs. heterozygous), respectively. After phytochemicals were added to the meat, GSTM1 variation impacted changes in DNA adduct levels (-6.12 for deletion vs. wildtype). The gene scores correlated with these responses and DEGs were identified by GSTM1 genotype. The altered pathways specific to the GSTM1 wildtype group included 'metabolism', 'cell cycle', 'vitamin D receptor', and 'metabolism of water-soluble vitamins and co-factors'. Genotype impacted both the potential genotoxicity of processed red meat and the efficacy of protective phytochemical extracts.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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