Co-methylation networks associated with cognition and structural brain development during adolescence

IntroductionTypical adolescent neurodevelopment is marked by decreases in grey matter (GM) volume, increases in myelination, measured by fractional anisotropy (FA), and improvement in cognitive performance.MethodsTo understand how epigenetic changes, methylation (DNAm) in particular, may be involved...

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Main Authors: Dawn Jensen, Jiayu Chen, Jessica A. Turner, Julia M. Stephen, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Jingyu Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Genetics
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Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2024.1451150/full
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author Dawn Jensen
Dawn Jensen
Jiayu Chen
Jiayu Chen
Jessica A. Turner
Julia M. Stephen
Yu-Ping Wang
Tony W. Wilson
Vince D. Calhoun
Vince D. Calhoun
Vince D. Calhoun
Vince D. Calhoun
Vince D. Calhoun
Jingyu Liu
Jingyu Liu
Jingyu Liu
author_facet Dawn Jensen
Dawn Jensen
Jiayu Chen
Jiayu Chen
Jessica A. Turner
Julia M. Stephen
Yu-Ping Wang
Tony W. Wilson
Vince D. Calhoun
Vince D. Calhoun
Vince D. Calhoun
Vince D. Calhoun
Vince D. Calhoun
Jingyu Liu
Jingyu Liu
Jingyu Liu
author_sort Dawn Jensen
collection DOAJ
description IntroductionTypical adolescent neurodevelopment is marked by decreases in grey matter (GM) volume, increases in myelination, measured by fractional anisotropy (FA), and improvement in cognitive performance.MethodsTo understand how epigenetic changes, methylation (DNAm) in particular, may be involved during this phase of development, we studied cognitive assessments, DNAm from saliva, and neuroimaging data from a longitudinal cohort of normally developing adolescents, aged nine to fourteen. We extracted networks of methylation with patterns of correlated change using a weighted gene correlation network analysis (WCGNA). Modules from these analyses, consisting of co-methylation networks, were then used in multivariate analyses with GM, FA, and cognitive measures to assess the nature of their relationships with cognitive improvement and brain development in adolescence.ResultsThis longitudinal exploration of co-methylated networks revealed an increase in correlated epigenetic changes as subjects progressed into adolescence. Co-methylation networks enriched for pathways involved in neuronal systems, potassium channels, neurexins and neuroligins were both conserved across time as well as associated with maturation patterns in GM, FA, and cognition.DiscussionOur research shows that correlated changes in the DNAm of genes in neuronal processes involved in adolescent brain development that were both conserved across time and related to typical cognitive and brain maturation, revealing possible epigenetic mechanisms driving this stage of development.
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spelling doaj-art-3d73bd1d896f4edba3ccb12f1e786b272025-01-07T06:40:47ZengFrontiers Media S.A.Frontiers in Genetics1664-80212025-01-011510.3389/fgene.2024.14511501451150Co-methylation networks associated with cognition and structural brain development during adolescenceDawn Jensen0Dawn Jensen1Jiayu Chen2Jiayu Chen3Jessica A. Turner4Julia M. Stephen5Yu-Ping Wang6Tony W. Wilson7Vince D. Calhoun8Vince D. Calhoun9Vince D. Calhoun10Vince D. Calhoun11Vince D. Calhoun12Jingyu Liu13Jingyu Liu14Jingyu Liu15Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): (Georgia State University, Georgia Institute of Technology, and Emory University), Atlanta, GA, United StatesNeuroscience Institute, Georgia State University, Atlanta, GA, United StatesTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): (Georgia State University, Georgia Institute of Technology, and Emory University), Atlanta, GA, United StatesDepartment of Computer Science, Georgia State University, Atlanta, GA, United StatesDepartment of Psychiatry and Behavioral Health, Wexnar Medical Center, Ohio State University, Columbus, OH, United StatesThe Mind Research Network, Albuquerque, NM, United StatesDepartment of Biomedical Engineering, Tulane University, New Orleans, LA, United StatesInstitute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, United StatesTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): (Georgia State University, Georgia Institute of Technology, and Emory University), Atlanta, GA, United StatesNeuroscience Institute, Georgia State University, Atlanta, GA, United StatesDepartment of Computer Science, Georgia State University, Atlanta, GA, United StatesThe Mind Research Network, Albuquerque, NM, United StatesPsychology Department and Neuroscience Institute, Georgia State University, Atlanta, GA, United StatesTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): (Georgia State University, Georgia Institute of Technology, and Emory University), Atlanta, GA, United StatesNeuroscience Institute, Georgia State University, Atlanta, GA, United StatesDepartment of Computer Science, Georgia State University, Atlanta, GA, United StatesIntroductionTypical adolescent neurodevelopment is marked by decreases in grey matter (GM) volume, increases in myelination, measured by fractional anisotropy (FA), and improvement in cognitive performance.MethodsTo understand how epigenetic changes, methylation (DNAm) in particular, may be involved during this phase of development, we studied cognitive assessments, DNAm from saliva, and neuroimaging data from a longitudinal cohort of normally developing adolescents, aged nine to fourteen. We extracted networks of methylation with patterns of correlated change using a weighted gene correlation network analysis (WCGNA). Modules from these analyses, consisting of co-methylation networks, were then used in multivariate analyses with GM, FA, and cognitive measures to assess the nature of their relationships with cognitive improvement and brain development in adolescence.ResultsThis longitudinal exploration of co-methylated networks revealed an increase in correlated epigenetic changes as subjects progressed into adolescence. Co-methylation networks enriched for pathways involved in neuronal systems, potassium channels, neurexins and neuroligins were both conserved across time as well as associated with maturation patterns in GM, FA, and cognition.DiscussionOur research shows that correlated changes in the DNAm of genes in neuronal processes involved in adolescent brain development that were both conserved across time and related to typical cognitive and brain maturation, revealing possible epigenetic mechanisms driving this stage of development.https://www.frontiersin.org/articles/10.3389/fgene.2024.1451150/fulladolescent developmentmethylationneuroimaging epigeneticsco-methylationcognitionbrain development
spellingShingle Dawn Jensen
Dawn Jensen
Jiayu Chen
Jiayu Chen
Jessica A. Turner
Julia M. Stephen
Yu-Ping Wang
Tony W. Wilson
Vince D. Calhoun
Vince D. Calhoun
Vince D. Calhoun
Vince D. Calhoun
Vince D. Calhoun
Jingyu Liu
Jingyu Liu
Jingyu Liu
Co-methylation networks associated with cognition and structural brain development during adolescence
Frontiers in Genetics
adolescent development
methylation
neuroimaging epigenetics
co-methylation
cognition
brain development
title Co-methylation networks associated with cognition and structural brain development during adolescence
title_full Co-methylation networks associated with cognition and structural brain development during adolescence
title_fullStr Co-methylation networks associated with cognition and structural brain development during adolescence
title_full_unstemmed Co-methylation networks associated with cognition and structural brain development during adolescence
title_short Co-methylation networks associated with cognition and structural brain development during adolescence
title_sort co methylation networks associated with cognition and structural brain development during adolescence
topic adolescent development
methylation
neuroimaging epigenetics
co-methylation
cognition
brain development
url https://www.frontiersin.org/articles/10.3389/fgene.2024.1451150/full
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