J Nutr Health Aging. 2024 Jul 26. pii: S1279-7707(24)00411-1. [Epub ahead of print]28(9): 100324
Pol Grootswagers,
Daimy Bach,
Ynte Biemans,
Pariya Behrouzi,
Steve Horvath,
Charlotte S Kramer,
Simin Liu,
JoAnn E Manson,
Aladdin H Shadyab,
James D Stewart,
Eric Whitsel,
Bo Yang,
Lisette de Groot.
BACKGROUND: Along with the ageing of society, the absolute prevalence of age-related diseases is expected to rise, leading to a substantial burden on healthcare systems and society. Thus, there is an urgent need to promote healthy ageing. As opposed to chronological age, biological age was introduced to accurately represent the ageing process, as it considers physiological deterioration that is linked to morbidity and mortality risk. Furthermore, biological age responds to various factors, including nutritional factors, which have the potential to mitigate the risk of age-related diseases. As a result, a promising biomarker of biological age known as the epigenetic clock has emerged as a suitable measure to investigate the direct relations between nutritional factors and ageing, thereby identifying potential intervention targets to improve healthy ageing.
METHODS: In this study, we analysed data from 3,969 postmenopausal women from the Women's Health Initiative to identify nutrients that are associated with the rate of ageing by using an accurate measure of biological age called the PhenoAge epigenetic clock. We used Copula Graphical Models, a data-driven exploratory analysis tool, to identify direct relationships between nutrient intake and age-acceleration, while correcting for every variable in the dataset.
RESULTS: We revealed that increased dietary intakes of coumestrol, beta-carotene and arachidic acid were associated with decelerated epigenetic ageing. In contrast, increased intakes of added sugar, gondoic acid, behenic acid, arachidonic acid, vitamin A and ash were associated with accelerated epigenetic ageing in postmenopausal women.
CONCLUSION: Our study discovered direct relations between nutrients and epigenetic ageing, revealing promising areas for follow-up studies to determine the magnitude and causality of our estimated diet-epigenetic relationships.
Keywords: Copula graphical models; Epigenetic ageing; Epigenetic clock; Nutrition