Adversity exposure during sensitive periods predicts accelerated epigenetic aging in children.


Journal

Psychoneuroendocrinology
ISSN: 1873-3360
Titre abrégé: Psychoneuroendocrinology
Pays: England
ID NLM: 7612148

Informations de publication

Date de publication:
03 2020
Historique:
received: 22 05 2019
revised: 11 10 2019
accepted: 11 10 2019
pubmed: 10 1 2020
medline: 20 1 2021
entrez: 10 1 2020
Statut: ppublish

Résumé

Exposure to adversity has been linked to accelerated biological aging, which in turn has been shown to predict numerous physical and mental health problems. In recent years, measures of DNA methylation-based epigenetic age--known as "epigenetic clocks"--have been used to estimate accelerated epigenetic aging. Although a small number of studies have found an effect of adversity exposure on epigenetic age in children, none have investigated if there are "sensitive periods" when adversity is most impactful. Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 973), we tested the prospective association between repeated measures of childhood exposure to seven types of adversity on epigenetic age assessed at age 7.5 using the Horvath and Hannum epigenetic clocks. With a Least Angle Regression variable selection procedure, we evaluated potential sensitive period effects. We found that exposure to abuse, financial hardship, or neighborhood disadvantage during sensitive periods in early and middle childhood best explained variability in the deviation of Hannum-based epigenetic age from chronological age, even after considering the role of adversity accumulation and recency. Secondary sex-stratified analyses identified particularly strong sensitive period effects. These effects were undetected in analyses comparing children "exposed" versus "unexposed" to adversity. We did not identify any associations between adversity and epigenetic age using the Horvath epigenetic clock. Our results suggest that adversity may alter methylation processes in ways that either directly or indirectly perturb normal cellular aging and that these effects may be heightened during specific life stages.

Identifiants

pubmed: 31918390
pii: S0306-4530(19)30475-5
doi: 10.1016/j.psyneuen.2019.104484
pmc: PMC7832214
mid: NIHMS1553530
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104484

Subventions

Organisme : NIA NIH HHS
ID : R03 AG051877
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_19009
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_15018
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : K01 MH102403
Pays : United States
Organisme : Medical Research Council
ID : G9815508
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : R01 MH113930
Pays : United States
Organisme : Wellcome Trust
ID : 102215/2/13/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12013/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00011/5
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : CSRD VA
ID : I01 CX001276
Pays : United States

Commentaires et corrections

Type : ErratumIn

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declarations of Competing Interest None.

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Auteurs

Sandro Marini (S)

Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.

Kathryn A Davis (KA)

Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.

Thomas W Soare (TW)

Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA; Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA.

Yiwen Zhu (Y)

Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.

Matthew J Suderman (MJ)

MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, BSB 1TH, UK.

Andrew J Simpkin (AJ)

MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, BSB 1TH, UK; School of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, H91TK33, Ireland.

Andrew D A C Smith (ADAC)

Applied Statistics Group, University of the West of England, Bristol, BS16 1QY, UK.

Erika J Wolf (EJ)

National Center for PTSD at VA Boston Healthcare System, Boston, MA, 02130, USA; Boston University School of Medicine, Department of Psychiatry, Boston, MA, 02118, USA.

Caroline L Relton (CL)

MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, BSB 1TH, UK; Institute of Genetic Medicine, University of Newcastle, Newcastle upon Tyne, NE1 3BZ, UK.

Erin C Dunn (EC)

Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA; Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA; McCance Center for Brain Health at Massachusetts General Hospital, Boston, MA, 02114, USA. Electronic address: edunn2@mgh.harvard.edu.

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Classifications MeSH