Lagged effects of childhood depressive symptoms on adult epigenetic aging.

DNA methylation depressive symptoms epigenetic aging

Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
07 Oct 2024
Historique:
medline: 7 10 2024
pubmed: 7 10 2024
entrez: 7 10 2024
Statut: aheadofprint

Résumé

Cross-sectional studies have identified health risks associated with epigenetic aging. However, it is unclear whether these risks make epigenetic clocks 'tick faster' (i.e. accelerate biological aging). The current study examines concurrent and lagged within-person changes of a variety of health risks associated with epigenetic aging. Individuals from the Great Smoky Mountains Study were followed from age 9 to 35 years. DNA methylation profiles were assessed from blood, at multiple timepoints (i.e. waves) for each individual. Health risks were psychiatric, lifestyle, and adversity factors. Concurrent ( Concurrent models showed that BMI ( Within-persons, changes in health risks were unaccompanied by concurrent changes in epigenetic aging, suggesting that it is unlikely for risks to immediately 'accelerate' epigenetic aging. However, time lagged analyses indicated that depressive symptoms in childhood/adolescence predicted epigenetic aging in adulthood. Together, findings suggest that age-related biological embedding of depressive symptoms is not instant but provides prognostic opportunities. Repeated measurements and longer follow-up times are needed to examine stable and dynamic contributions of childhood experiences to epigenetic aging across the lifespan.

Sections du résumé

BACKGROUND BACKGROUND
Cross-sectional studies have identified health risks associated with epigenetic aging. However, it is unclear whether these risks make epigenetic clocks 'tick faster' (i.e. accelerate biological aging). The current study examines concurrent and lagged within-person changes of a variety of health risks associated with epigenetic aging.
METHODS METHODS
Individuals from the Great Smoky Mountains Study were followed from age 9 to 35 years. DNA methylation profiles were assessed from blood, at multiple timepoints (i.e. waves) for each individual. Health risks were psychiatric, lifestyle, and adversity factors. Concurrent (
RESULTS RESULTS
Concurrent models showed that BMI (
CONCLUSIONS CONCLUSIONS
Within-persons, changes in health risks were unaccompanied by concurrent changes in epigenetic aging, suggesting that it is unlikely for risks to immediately 'accelerate' epigenetic aging. However, time lagged analyses indicated that depressive symptoms in childhood/adolescence predicted epigenetic aging in adulthood. Together, findings suggest that age-related biological embedding of depressive symptoms is not instant but provides prognostic opportunities. Repeated measurements and longer follow-up times are needed to examine stable and dynamic contributions of childhood experiences to epigenetic aging across the lifespan.

Identifiants

pubmed: 39370998
doi: 10.1017/S0033291724001570
pii: S0033291724001570
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-9

Auteurs

Laura K M Han (LKM)

Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
Orygen, Parkville, VIC, Australia.

Moji Aghajani (M)

Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Institute of Child & Education Studies, Section Forensic Family & Youth Care, Leiden University, The Netherlands.

Brenda W J H Penninx (BWJH)

Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands.

William E Copeland (WE)

Department of Psychiatry, University of Vermont, Burlington, USA.

Karolina A Aberg (KA)

The Center for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA.

Edwin J C G van den Oord (EJCG)

The Center for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA.

Classifications MeSH