Evidence mapPaperPMID 42129356Full record

ArticleCommunications medicine2026

The role of dietary patterns on epigenetic and inflammatory aging based on the INSPIRE-T study.

Natasha Grande de França, Yves Rolland, Sophie Guyonnet, Paul Bensadoun, Jean-Marc Lemaitre, Bruno Vellas, Philipe de Souto Barreto, IHU HealthAge INSPIRE/Open Science group

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Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Natasha Grande de FrançaIHU HealthAge, Toulouse, France. natasha.agf@gmail.com.ORCID http://orcid.org/0000-0002-6777-5869
Yves RollandIHU HealthAge, Toulouse, France.ORCID http://orcid.org/0009-0003-9486-9144
Sophie GuyonnetIHU HealthAge, Toulouse, France.
Paul BensadounINSERM IRMB UMR1183, Hôpital Saint Eloi, Université de Montpellier, Montpellier, France.ORCID http://orcid.org/0000-0001-5966-3560
Jean-Marc LemaitreINSERM IRMB UMR1183, Hôpital Saint Eloi, Université de Montpellier, Montpellier, France.ORCID http://orcid.org/0000-0002-6492-5219
Bruno VellasIHU HealthAge, Toulouse, France.
Philipe de Souto BarretoIHU HealthAge, Toulouse, France.ORCID http://orcid.org/0000-0002-8860-425X
IHU HealthAge INSPIRE/Open Science group

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-23-IAHU-0011
6 · The paper itself

Abstract

backgroundDiet is a modifiable lifestyle factor that may modify biological aging. However, its relationship with biomarkers of biological aging is scarce or divergent. Thus, we aimed to investigate the association between dietary patterns and epigenetic and inflammatory age acceleration.

methodsIn this cross-sectional study with 764 adults (62% female; 20-100 years), participants in the INSPIRE-T observational cohort (France), we used linear regression models to associate dietary patterns (data-driven and as adherence scores to well-established diets) with biological age acceleration estimated by using epigenetic clocks (Horvath's, Hannum's, PhenoAge, and GrimAge) and the inflammatory clock (iAge). We further explored the moderating effect of sex and age groups (20-44, 45-64, ≥65), and the mediating role of body fat, measured by DXA.

resultsHere, we show that a 10-point increase in the Dietary Approaches to Stop Hypertension diet (DASH) score is associated with a 1.7-year lower PhenoAge acceleration, with 23% of this association being explained by android fat. Every one-unit increase in the "Plant-based" dietary pattern scores is marginally associated with 1.1-year lower PhenoAge acceleration, with total body fat accounting for 26% of this association. In the latter, the association seems more robust in older males. No consistent associations are observed for other dietary patterns, Horvath's and Hannum's clock, GrimAge, or iAge.

conclusionsGreater scores in aDASH and "Plant-based" dietary patterns are associated with lower epigenetic age acceleration through reduced body fat, with a partial moderating role of sex and age.

Identifiers

PMID42129356
PMCPMC13396666

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