A targeted metabolomic method to detect epigenetically relevant metabolites
We present an innovative analytical methodology for the simultaneous detection and quantification of over 30 epigenetically relevant metabolites, including short chain fatty acids. Using stable isotope tracing to track the synthesis of S-adenosylmethionine (SAM) and acetyl-Coenzyme A (acetyl-CoA), our method reveals new insights into metabolism linked to epigenetic modifications, including glycolysis, the pentose phosphate pathway, de novo glycine synthesis, and the folate and methionine cycle. Demonstrating practical utility in case-control studies, this approach supports integrative multi-omics strategies to explore the interplay between metabolism and epigenetics across various biological systems and diseases.
Authors
- Claire Maudet
- Sylvie Rabot (ORCID: https://orcid.org/0000-0002-4603-2038)
- Jane Mellor (ORCID: https://orcid.org/0000-0002-5196-3734)
- Óscar Yanes
- Aurélie Balvay (ORCID: https://orcid.org/0000-0003-1701-4241)
- Silvia Raineri (ORCID: https://orcid.org/0000-0003-4381-1033)
- Jordi Capellades (ORCID: https://orcid.org/0000-0002-6502-8202)
- Marta Kovatcheva (ORCID: https://orcid.org/0000-0002-2536-1043)
- Alexandra Junza (ORCID: https://orcid.org/0000-0001-7205-0419)
- Joan Miro-Blanch
- Manuel Serrano
Institutions
- AgroParisTech (FR)
- Université Paris-Saclay (FR)
- Novo Nordisk Foundation (DK)
- Microbiologie de l’alimentation au service de la santé (FR)
- University of Oxford (GB)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (ES)
- Institute for Research in Biomedicine (ES)
- Barcelona Institute of Science and Technology (ES)
- Hospital Universitari Sant Joan de Reus (ES)
Publication Details
- Journal
- Molecular Metabolism
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1016/j.molmet.2026.102342
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00