TY - JOUR
T1 - Dietary Carbohydrate Quality Is Associated with Epigenetic Age Acceleration
T2 - a Cross-Sectional Study of the CARDIA Cohort
AU - Yi, So Yun
AU - Steffen, Lyn M.
AU - Jacobs, David R.
AU - Joyce, Brian
AU - Guan, Weihua
AU - Duprez, Daniel
AU - Lakshminarayan, Kamakshi
AU - Zheng, Yinan
AU - Hou, Lifang
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/4
Y1 - 2025/4
N2 - 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.
AB - 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.
KW - biological age
KW - carbohydrate quality
KW - carbohydrates
KW - dietary fiber
KW - epigenetic age acceleration
KW - fiber-rich foods
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U2 - 10.1016/j.tjnut.2025.01.022
DO - 10.1016/j.tjnut.2025.01.022
M3 - Article
C2 - 39880169
AN - SCOPUS:85219035746
SN - 0022-3166
VL - 155
SP - 1210
EP - 1217
JO - Journal of Nutrition
JF - Journal of Nutrition
IS - 4
ER -