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Accelerated epigenetic aging in adolescents from low-income households is associated with altered development of brain structures.

Authors :
Hoare J
Stein DJ
Heany SJ
Fouche JP
Phillips N
Er S
Myer L
Zar HJ
Horvath S
Levine AJ
Source :
Metabolic brain disease [Metab Brain Dis] 2020 Dec; Vol. 35 (8), pp. 1287-1298. Date of Electronic Publication: 2020 Jul 15.
Publication Year :
2020

Abstract

The relationship between cognitive performance, macro and microstructural brain anatomy and accelerated aging as measured by a highly accurate epigenetic biomarker of aging known as the epigenetic clock in healthy adolescents has not been studied. Healthy adolescents enrolled in the Cape Town Adolescent Antiretroviral Cohort Study were studied cross sectionally. The Illumina Infinium Methylation EPIC array was used to generate DNA methylation data from the blood samples of 44 adolescents aged 9 to 12 years old. The epigenetic clock software and method was used to estimate two measures, epigenetic age acceleration residual (AAR) and extrinsic epigenetic age acceleration (EEAA). Each participant underwent neurocognitive testing, T1 structural magnetic resonance imaging (MRI), and diffusion tensor imaging (DTI). Correlation tests were run between the two epigenetic aging measures and 10 cognitive functioning domains, to assess for differences in cognitive performance as epigenetic aging increases. In order to investigate the associations of epigenetic age acceleration on brain structure, we developed stepwise multiple regression models in R (version 3.4.3, 2017) including grey and white matter volumes, cortical thickness, and cortical surface area, as well as DTI measures of white matter microstructural integrity. In addition to negatively affecting two cognitive domains, visual memory (p = .026) and visual spatial acuity (p = .02), epigenetic age acceleration was associated with alterations of brain volumes, cortical thickness, cortical surface areas and abnormalities in neuronal microstructure in a range of regions. Stress was a significant predictor (p = .029) of AAR. Understanding the drivers of epigenetic age acceleration in adolescents could lead to valuable insights into the development of neurocognitive impairment in adolescents.

Details

Language :
English
ISSN :
1573-7365
Volume :
35
Issue :
8
Database :
MEDLINE
Journal :
Metabolic brain disease
Publication Type :
Academic Journal
Accession number :
32671535
Full Text :
https://doi.org/10.1007/s11011-020-00589-0