Dietary Carbohydrate Quality Is Associated with Epigenetic Age Acceleration: a Cross-Sectional Study of the CARDIA Cohort

So Yun Yi, Lyn M. Steffen, David R. Jacobs, Brian Joyce, Weihua Guan, Daniel Duprez, Kamakshi Lakshminarayan, Yinan Zheng, Lifang Hou

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Dietary intake is one lifestyle factor that is expected to impact gene expression by altering DNA methylation (DNAm), thus affecting epigenetic aging. Studies on the association between quality of carbohydrates and epigenetic age acceleration (EAA) are scarce despite the evidence that quality may be more important than amount of carbohydrates consumed. Objectives: We aimed to identify the cross-sectional associations of carbohydrate quality and fiber-rich food score with EAA in the Coronary Artery Risk Development in Young Adults (CARDIA) study. Methods: Trained interviewers administered the CARDIA Diet History to obtain dietary intake at examination year 20. EAA measures, PhenoAge acceleration (PhenoAA) and GrimAge acceleration (GrimAA), were generated based on epigenetic age estimates calculated using DNAm profiling data from fasting blood samples at examination years 20, 25, and 30. Linear mixed-effects regression models were used to evaluate the association of carbohydrate quality, defined using carbohydrate:fiber ratio, and fiber-rich food score with EAA measures. Results: After adjusting for demographic and lifestyle factors, quartiles of carbohydrate quality (defined using carbohydrate:fiber ratio) were inversely associated with PhenoAA and GrimAA; the highest carbohydrate quality quartile showing a difference (standard error [SE]) of −1.19 (0.2) y for PhenoAA (P-trend < 0.001) and −1.20 (0.1) y for GrimAA (P-trend < 0.001) compared with the lowest carbohydrate quality quartile. Similarly, quartiles of fiber-rich food score (created based on daily intakes of whole grains, fruit, vegetables, nuts, and legumes) were inversely associated with PhenoAA and GrimAA; the highest quartile showing a difference (SE) of −1.06 (0.2) y for PhenoAA (P-trend = 0.002) and −1.31 (0.2) y for GrimAA (P-trend < 0.001) compared with the lowest quartile. Conclusions: Our findings suggest that consuming a high carbohydrate quality diet and a dietary pattern composed of fiber-rich foods is cross-sectionally associated with slower biological aging.

Original languageEnglish (US)
Pages (from-to)1210-1217
Number of pages8
JournalJournal of Nutrition
Volume155
Issue number4
DOIs
StatePublished - Apr 2025

Bibliographical note

Publisher Copyright:
© 2025 The Authors

Keywords

  • biological age
  • carbohydrate quality
  • carbohydrates
  • dietary fiber
  • epigenetic age acceleration
  • fiber-rich foods

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