Association between the Inflammatory Potential of the Diet and Biological Aging: A Cross-Sectional Analysis of 4510 Adults from the Moli-Sani Study Cohort

Author:

Martínez Claudia F.12,Esposito Simona1,Di Castelnuovo Augusto3,Costanzo Simona1ORCID,Ruggiero Emilia1ORCID,De Curtis Amalia1,Persichillo Mariarosaria1ORCID,Hébert James R.45ORCID,Cerletti Chiara1ORCID,Donati Maria Benedetta1,de Gaetano Giovanni1ORCID,Iacoviello Licia16ORCID,Gialluisi Alessandro1ORCID,Bonaccio Marialaura1ORCID

Affiliation:

1. Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Italy

2. Population Health Research Center, National Institute of Public Health, Cuernavaca 62100, Mexico

3. Mediterranea Cardiocentro, 80122 Napoli, Italy

4. Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA

5. Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC 29201, USA

6. Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, 21100 Varese-Como, Italy

Abstract

Chronological age (CA) may not accurately reflect the health status of an individual. Rather, biological age (BA) or hypothetical underlying “functional” age has been proposed as a relevant indicator of healthy aging. Observational studies have found that decelerated biological aging or Δage (BA-CA) is associated with a lower risk of disease and mortality. In general, CA is associated with low-grade inflammation, a condition linked to the risk of the incidence of disease and overall cause-specific mortality, and is modulated by diet. To address the hypothesis that diet-related inflammation is associated with Δage, a cross-sectional analysis of data from a sub-cohort from the Moli-sani Study (2005–2010, Italy) was performed. The inflammatory potential of the diet was measured using the Energy-adjusted Dietary Inflammatory Index (E-DIITM) and a novel literature-based dietary inflammation score (DIS). A deep neural network approach based on circulating biomarkers was used to compute BA, and the resulting Δage was fit as the dependent variable. In 4510 participants (men 52.0%), the mean of CA (SD) was 55.6 y (±11.6), BA 54.8 y (±8.6), and Δage −0.77 (±7.7). In a multivariable-adjusted analysis, an increase in E-DIITM and DIS scores led to an increase in Δage (β = 0.22; 95%CI 0.05, 0.38; β = 0.27; 95%CI 0.10, 0.44, respectively). We found interaction for DIS by sex and for E-DIITM by BMI. In conclusion, a pro-inflammatory diet is associated with accelerated biological aging, which likely leads to an increased long-term risk of inflammation-related diseases and mortality.

Funder

Italian Ministry of Healt

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

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