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Background <p>Diet 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.</p> Methods <p>In 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.</p> Results <p>Here, 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.</p> Conclusions <p>Greater 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月13日

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  • Natasha Grande de França,
  • Yves Rolland,
  • Sophie Guyonnet,
  • Paul Bensadoun,
  • Jean-Marc Lemaitre,
  • Bruno Vellas,
  • Philipe de Souto Barreto,
  • Lauréane Brigitte,
  • Agathe Milhet,
  • Elodie Paez,
  • Emeline Muller,
  • Sabine Le Floch,
  • Catherine Takeda,
  • Catherine Faisant,
  • Françoise Lala,
  • Gabor Abellan Van Kan,
  • Zara Steinmeyer,
  • Antoine Piau,
  • Tony Macaron,
  • Davide Angioni,
  • Pierre-Jean Ousset,
  • Mélanie Comté,
  • Nathalie Daniaud,
  • Fanny Boissou-Parachaud,
  • Sandrine Andrieu,
  • Christelle Cantet,
  • Fabien Pillard,
  • Bernard Teysseyre,
  • Marie Faruch,
  • Pierre Payoux,
  • Neda Tavassoli,
  • Marie Dorard,
  • Bénédicte Razat,
  • Camille Champigny,
  • Cédric Dray,
  • Jean-Philippe Pradère,
  • Angelo Parini,
  • Yohan Santin,
  • Dominique Langin,
  • Pierre Gourdy,
  • Laurent O. Martinez,
  • Anne Bouloumié,
  • Nicolas Fazilleau,
  • Roland Liblau,
  • Jean-Charles Guéry,
  • Michel Simon,
  • Nicolas Gaudenzio,
  • Luciana Bostan,
  • Hicham El Costa,
  • Nabila Jabrane Ferrat,
  • Philippe Valet,
  • Cedric Dray,
  • Isabelle Ader,
  • Valérie Planat,
  • Louis Casteilla,
  • Pierre Payoux,
  • Patrice Peran,
  • Cyrille Delpierre,
  • Claire Rampon,
  • Noelie Davezac,
  • Bruno Guiard,
  • Nathalie Vergnolle,
  • Jean-Paul Motta,
  • Sara Djebali,
  • Pauline Floch,
  • Céline Deraison,
  • Chrystelle Bonnart,
  • Jean-Emmanuel Sarry,
  • Nicola Coley,
  • Jessica Pontary

摘要

Background

Diet 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.

Methods

In 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.

Results

Here, 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.

Conclusions

Greater 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.