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Shared postprandial gene expression signatures: a systematic review and quantitative data synthesis
Faezeh Abaj1,2, Gary Williamson1,2,3, Aimee L Dordevic1,2
1Department of Nutrition, Dietetics & Food, Monash University, Notting Hill, Victoria, Australia.
Critical Reviews in Food Science and Nutrition
|October 31, 2025
Summary
Metabolic flexibility is key to health. This review found common gene expression patterns after meals, regardless of meal type, suggesting a universal response to eating rather than specific nutrients.
Area of Science:
- Metabolomics and Genomics
- Systems Biology
- Nutritional Science
Background:
- Metabolic flexibility, the ability to adapt to nutrient intake, is crucial for metabolic health.
- Postprandial (after-meal) responses involve complex changes across multiple biological levels.
- Understanding these responses at the gene expression level is vital for metabolic health assessment.
Purpose of the Study:
- To systematically review and integrate transcriptomic data from studies assessing postprandial gene expression.
- To identify common gene expression signatures following different types of meals.
- To compare postprandial gene expression with fasting levels.
Main Methods:
- Systematic review combining raw data from 14 studies (13 datasets).
- Analysis of gene expression at 2, 4, and 6 hours postprandial.
- Gene Ontology (GO) analysis and multivariate integrative analysis (MINT.sPLS).
Main Results:
- Identified 36, 711, and 12 common postprandial genes at 2, 4, and 6 hours, respectively.
- GO analysis revealed immune response (2h), cellular regulation, autophagy, phosphorus metabolism, stress response (4h), and circadian regulation (6h).
- Multivariate analysis suggested a common transcriptomic signature of eating, not specific macronutrient effects.
Conclusions:
- Despite varied study designs and meals, common postprandial gene expression patterns exist.
- These findings highlight a shared transcriptomic response to the act of eating.
- This research aids future studies on metabolic flexibility in conditions like obesity and insulin resistance.
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