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Individual longitudinal changes in DNA-methylome identify signatures of early-life adversity and correlate with later outcome.
Short, Annabel K; Weber, Ryan; Kamei, Noriko; Wilcox Thai, Christina; Arora, Hina; Mortazavi, Ali; Stern, Hal S; Glynn, Laura; Baram, Tallie Z.
Afiliação
  • Short AK; Department of Anatomy and Neurobiology, ersity of California- Irvine, Irvine, CA, 92697, USA.
  • Weber R; Departments of Pediatrics and Neurology, University of California-Irvine, Irvine, CA, 92697, USA.
  • Kamei N; Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA, 92697, USA.
  • Wilcox Thai C; Department of Anatomy and Neurobiology, ersity of California- Irvine, Irvine, CA, 92697, USA.
  • Arora H; Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA, 92697, USA.
  • Mortazavi A; Department of Statistics, University of California-Irvine, Irvine, CA, 92697, USA.
  • Stern HS; Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA, 92697, USA.
  • Glynn L; Department of Statistics, University of California-Irvine, Irvine, CA, 92697, USA.
  • Baram TZ; Department of Psychology, Chapman University, Orange, CA, 92866, USA.
Neurobiol Stress ; 31: 100652, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38962694
ABSTRACT
Adverse early-life experiences (ELA) affect a majority of the world's children. Whereas the enduring impact of ELA on cognitive and emotional health is established, there are no tools to predict vulnerability to ELA consequences in an individual child. Epigenetic markers including peripheral-cell DNA-methylation profiles may encode ELA and provide predictive outcome markers, yet the interindividual variance of the human genome and rapid changes in DNA methylation in childhood pose significant challenges. Hoping to mitigate these challenges we examined the relation of several ELA dimensions to DNA methylation changes and outcome using a within-subject longitudinal design and a high methylation-change threshold. DNA methylation was analyzed in buccal swab/saliva samples collected twice (neonatally and at 12 months) in 110 infants. We identified CpGs differentially methylated across time for each child and determined whether they associated with ELA indicators and executive function at age 5. We assessed sex differences and derived a sex-dependent 'impact score' based on sites that most contributed to methylation changes. Changes in methylation between two samples of an individual child reflected age-related trends and correlated with executive function years later. Among tested ELA dimensions and life factors including income to needs ratios, maternal sensitivity, body mass index and infant sex, unpredictability of parental and household signals was the strongest predictor of executive function. In girls, high early-life unpredictability interacted with methylation changes to presage executive function. Thus, longitudinal, within-subject changes in methylation profiles may provide a signature of ELA and a potential predictive marker of individual outcome.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Neurobiol Stress Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Neurobiol Stress Ano de publicação: 2024 Tipo de documento: Article