bioRxivGenomicsPreprint
DNA methylation and gene expression trajectories of human postprandial metabolism
Ricardo CosteiraiD, Lidia DaimieliD, Thies GehrmanniD, Fatih A. BogaardsiD, Sergio VillicañaiD, Lucy SinkeiD, Yasrab N. RazaiD, Max TomlinsoniD, Colette ChristianseniD, Bastiaan T. HeijmansiD, P. Eline SlagboomiD, Tim D. SpectoriD, Kerrin S. SmalliD, Juan Francisco Alcala-DiaziD, Oriol Alberto Rangel-ZúñigaiD, José López‐MirandaiD, Mélanie WaldenbergeriD, Sarah E. BerryiD, José María OrdovásiD, Jordana T. BelliD
Abstract
Human postprandial metabolism is characterised by a highly individualised response to food that is predictive of cardiometabolic health and underexplored at the molecular level. We profiled blood DNA methylation (DNAm) and gene expression trajectories before and after a test meal in 225 European participants. We identify DNAm changes at fasting, 30 minutes and 4 hours after meal challenge, including in metabolically relevant genes INPP4A, GHRL, ASIP and ABCG1, with changes observed as early as 30mins postprandially. Gene expression trajectories also changed postprandially predominantly at 4 hours, with replication of lipid metabolism (CPT1A) and circadian rhythm (PER1) genes. Genetic variants affect postprandial molecular trajectories at genes linked to obesity (PDE9A) and glucose response (GPT2). Multiple signals associated with postprandial glucose and triglyceride levels, with replication of CPT1A methylation. The postprandial DNAm and expression trajectories target metabolically relevant genes, giving insights towards mechanisms underlying inter-individual response to food and cardiometabolic disease risk.
- organism: human
- assay: DNA methylation
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Characterisation of fasting and postprandial NMR metabolites: insights from the ZOE PREDICT 1 Study
K. M. Bermingham, M. Mazidi, … W. L. Hall·bioRxiv·Nov 14, 2022
- Characterizing human postprandial metabolic response using multiway data analysis
Shi Yan, Lu Li, … Evrim Acar·MetabolomicsPeer-reviewed·May 9, 2024
- Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes
Liam McAllan, Damir Baranas̆ić, … William R. Scott·Nature CommunicationsPeer-reviewed·May 15, 2023
- Increased Postprandial Metabolic Flexibility is Associated with Higher Body Fat Percentages in Healthy Young Adults
Nicholas A. Foreman, Sahil Rajwade, … Matthew D. Barberio·American Journal of Physiology-Endocrinology and MetabolismPeer-reviewed·Oct 27, 2025
- Systems analysis of metabolic responses to a mixed meal test in an obese cohort reveals links between tissue metabolism and the gut microbiota
Peishun Li, Boyang Ji, … Jens Nielsen·bioRxiv·Apr 26, 2022
- Placenta DNA Methylation Adaptation to Maternal Glucose Tolerance in Pregnancy
Andrés Cárdenas, Valérie Gagné‐Ouellet, … Marie‐France Hivert·DiabetesPeer-reviewed·May 11, 2018