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Hippocampal and cortical tissue-specific epigenetic clocks indicate an increased epigenetic age in a mouse model for Alzheimer’s disease

Epigenetic clocks are based on age-associated changes in DNA methylation of CpG-sites, which can accurately measure chronological age in different species. Recently, several studies have indicated that the difference between chronological and epigenetic age, defined as the age acceleration, could re...

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Autores principales: Coninx, Emma, Chew, Yap Ching, Yang, Xiaojing, Guo, Wei, Coolkens, Amelie, Baatout, Sarah, Moons, Lieve, Verslegers, Mieke, Quintens, Roel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655172/
https://www.ncbi.nlm.nih.gov/pubmed/33082299
http://dx.doi.org/10.18632/aging.104056
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author Coninx, Emma
Chew, Yap Ching
Yang, Xiaojing
Guo, Wei
Coolkens, Amelie
Baatout, Sarah
Moons, Lieve
Verslegers, Mieke
Quintens, Roel
author_facet Coninx, Emma
Chew, Yap Ching
Yang, Xiaojing
Guo, Wei
Coolkens, Amelie
Baatout, Sarah
Moons, Lieve
Verslegers, Mieke
Quintens, Roel
author_sort Coninx, Emma
collection PubMed
description Epigenetic clocks are based on age-associated changes in DNA methylation of CpG-sites, which can accurately measure chronological age in different species. Recently, several studies have indicated that the difference between chronological and epigenetic age, defined as the age acceleration, could reflect biological age indicating functional decline and age-associated diseases. In humans, an epigenetic clock associated Alzheimer’s disease (AD) pathology with an acceleration of the epigenetic age. In this study, we developed and validated two mouse brain region-specific epigenetic clocks from the C57BL/6J hippocampus and cerebral cortex. Both clocks, which could successfully estimate chronological age, were further validated in a widely used mouse model for AD, the triple transgenic AD (3xTg-AD) mouse. We observed an epigenetic age acceleration indicating an increased biological age for the 3xTg-AD mice compared to non-pathological C57BL/6J mice, which was more pronounced in the cortex as compared to the hippocampus. Genomic region enrichment analysis revealed that age-dependent CpGs were enriched in genes related to developmental, aging-related, neuronal and neurodegenerative functions. Due to the limited access of human brain tissues, these epigenetic clocks specific for mouse cortex and hippocampus might be important in further unravelling the role of epigenetic mechanisms underlying AD pathology or brain aging in general.
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spelling pubmed-76551722020-11-19 Hippocampal and cortical tissue-specific epigenetic clocks indicate an increased epigenetic age in a mouse model for Alzheimer’s disease Coninx, Emma Chew, Yap Ching Yang, Xiaojing Guo, Wei Coolkens, Amelie Baatout, Sarah Moons, Lieve Verslegers, Mieke Quintens, Roel Aging (Albany NY) Research Paper Epigenetic clocks are based on age-associated changes in DNA methylation of CpG-sites, which can accurately measure chronological age in different species. Recently, several studies have indicated that the difference between chronological and epigenetic age, defined as the age acceleration, could reflect biological age indicating functional decline and age-associated diseases. In humans, an epigenetic clock associated Alzheimer’s disease (AD) pathology with an acceleration of the epigenetic age. In this study, we developed and validated two mouse brain region-specific epigenetic clocks from the C57BL/6J hippocampus and cerebral cortex. Both clocks, which could successfully estimate chronological age, were further validated in a widely used mouse model for AD, the triple transgenic AD (3xTg-AD) mouse. We observed an epigenetic age acceleration indicating an increased biological age for the 3xTg-AD mice compared to non-pathological C57BL/6J mice, which was more pronounced in the cortex as compared to the hippocampus. Genomic region enrichment analysis revealed that age-dependent CpGs were enriched in genes related to developmental, aging-related, neuronal and neurodegenerative functions. Due to the limited access of human brain tissues, these epigenetic clocks specific for mouse cortex and hippocampus might be important in further unravelling the role of epigenetic mechanisms underlying AD pathology or brain aging in general. Impact Journals 2020-10-20 /pmc/articles/PMC7655172/ /pubmed/33082299 http://dx.doi.org/10.18632/aging.104056 Text en Copyright: © 2020 Coninx et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Coninx, Emma
Chew, Yap Ching
Yang, Xiaojing
Guo, Wei
Coolkens, Amelie
Baatout, Sarah
Moons, Lieve
Verslegers, Mieke
Quintens, Roel
Hippocampal and cortical tissue-specific epigenetic clocks indicate an increased epigenetic age in a mouse model for Alzheimer’s disease
title Hippocampal and cortical tissue-specific epigenetic clocks indicate an increased epigenetic age in a mouse model for Alzheimer’s disease
title_full Hippocampal and cortical tissue-specific epigenetic clocks indicate an increased epigenetic age in a mouse model for Alzheimer’s disease
title_fullStr Hippocampal and cortical tissue-specific epigenetic clocks indicate an increased epigenetic age in a mouse model for Alzheimer’s disease
title_full_unstemmed Hippocampal and cortical tissue-specific epigenetic clocks indicate an increased epigenetic age in a mouse model for Alzheimer’s disease
title_short Hippocampal and cortical tissue-specific epigenetic clocks indicate an increased epigenetic age in a mouse model for Alzheimer’s disease
title_sort hippocampal and cortical tissue-specific epigenetic clocks indicate an increased epigenetic age in a mouse model for alzheimer’s disease
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655172/
https://www.ncbi.nlm.nih.gov/pubmed/33082299
http://dx.doi.org/10.18632/aging.104056
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