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Cerebral white matter hyperintensities on MRI and acceleration of epigenetic aging: the atherosclerosis risk in communities study

BACKGROUND: Cerebral white matter hyperintensities (WMH) on magnetic resonance imaging (MRI) are part of the spectrum of brain vascular injury accompanying aging and are associated with a substantial risk of stroke and dementia. We investigated the association of cerebral WMH burden on MRI with a DN...

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Autores principales: Raina, Abhay, Zhao, Xiaoping, Grove, Megan L., Bressler, Jan, Gottesman, Rebecca F., Guan, Weihua, Pankow, James S., Boerwinkle, Eric, Mosley, Thomas H., Fornage, Myriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310061/
https://www.ncbi.nlm.nih.gov/pubmed/28289478
http://dx.doi.org/10.1186/s13148-016-0302-6
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author Raina, Abhay
Zhao, Xiaoping
Grove, Megan L.
Bressler, Jan
Gottesman, Rebecca F.
Guan, Weihua
Pankow, James S.
Boerwinkle, Eric
Mosley, Thomas H.
Fornage, Myriam
author_facet Raina, Abhay
Zhao, Xiaoping
Grove, Megan L.
Bressler, Jan
Gottesman, Rebecca F.
Guan, Weihua
Pankow, James S.
Boerwinkle, Eric
Mosley, Thomas H.
Fornage, Myriam
author_sort Raina, Abhay
collection PubMed
description BACKGROUND: Cerebral white matter hyperintensities (WMH) on magnetic resonance imaging (MRI) are part of the spectrum of brain vascular injury accompanying aging and are associated with a substantial risk of stroke and dementia. We investigated the association of cerebral WMH burden on MRI with a DNA methylation-based biomarker of aging, termed DNA methylation age acceleration, which represents the deviation of the DNA methylation-predicted age from the chronologic age. RESULTS: In this cross-sectional observational study of 713 African-American participants of the Atherosclerosis Risk in Communities study, aged 51–73 years, estimates of predicted age were obtained based on two algorithms (Hannum et al. and Horvath) from DNA methylation measured using the Illumina HM450 array on genomic DNA extracted from blood. Age acceleration, calculated as the residual values from the regression of each of the predicted age measures onto the chronologic age, was significantly associated with WMH burden after accounting for chronologic age and sex, body mass index, systolic blood pressure, hypertension, diabetes, current smoking, and blood cell composition, and results were similar for either Hannum et al.- or Horvath-derived estimates (P = 0.016 and 0.026). An age acceleration increase by 1 year was associated with an increase of WMH burden by ~1 grade. To shed light on possible biological mechanisms underlying this association, we conducted a genome-wide association study of age acceleration and identified four loci harboring genes implicated in hemostasis, cell proliferation, protein degradation, and histone methylation. However, none of these loci were associated with WMH burden. CONCLUSIONS: In this population-based study of middle-aged to older African-American adults, we report an association between accelerated epigenetic aging and increased WMH burden, independent of known risk factors, including chronologic age. Additional studies are needed to clarify whether DNA methylation age reflects biological mechanisms implicated in the aging of the cerebral white matter. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-016-0302-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-53100612017-03-13 Cerebral white matter hyperintensities on MRI and acceleration of epigenetic aging: the atherosclerosis risk in communities study Raina, Abhay Zhao, Xiaoping Grove, Megan L. Bressler, Jan Gottesman, Rebecca F. Guan, Weihua Pankow, James S. Boerwinkle, Eric Mosley, Thomas H. Fornage, Myriam Clin Epigenetics Research BACKGROUND: Cerebral white matter hyperintensities (WMH) on magnetic resonance imaging (MRI) are part of the spectrum of brain vascular injury accompanying aging and are associated with a substantial risk of stroke and dementia. We investigated the association of cerebral WMH burden on MRI with a DNA methylation-based biomarker of aging, termed DNA methylation age acceleration, which represents the deviation of the DNA methylation-predicted age from the chronologic age. RESULTS: In this cross-sectional observational study of 713 African-American participants of the Atherosclerosis Risk in Communities study, aged 51–73 years, estimates of predicted age were obtained based on two algorithms (Hannum et al. and Horvath) from DNA methylation measured using the Illumina HM450 array on genomic DNA extracted from blood. Age acceleration, calculated as the residual values from the regression of each of the predicted age measures onto the chronologic age, was significantly associated with WMH burden after accounting for chronologic age and sex, body mass index, systolic blood pressure, hypertension, diabetes, current smoking, and blood cell composition, and results were similar for either Hannum et al.- or Horvath-derived estimates (P = 0.016 and 0.026). An age acceleration increase by 1 year was associated with an increase of WMH burden by ~1 grade. To shed light on possible biological mechanisms underlying this association, we conducted a genome-wide association study of age acceleration and identified four loci harboring genes implicated in hemostasis, cell proliferation, protein degradation, and histone methylation. However, none of these loci were associated with WMH burden. CONCLUSIONS: In this population-based study of middle-aged to older African-American adults, we report an association between accelerated epigenetic aging and increased WMH burden, independent of known risk factors, including chronologic age. Additional studies are needed to clarify whether DNA methylation age reflects biological mechanisms implicated in the aging of the cerebral white matter. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-016-0302-6) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-14 /pmc/articles/PMC5310061/ /pubmed/28289478 http://dx.doi.org/10.1186/s13148-016-0302-6 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Raina, Abhay
Zhao, Xiaoping
Grove, Megan L.
Bressler, Jan
Gottesman, Rebecca F.
Guan, Weihua
Pankow, James S.
Boerwinkle, Eric
Mosley, Thomas H.
Fornage, Myriam
Cerebral white matter hyperintensities on MRI and acceleration of epigenetic aging: the atherosclerosis risk in communities study
title Cerebral white matter hyperintensities on MRI and acceleration of epigenetic aging: the atherosclerosis risk in communities study
title_full Cerebral white matter hyperintensities on MRI and acceleration of epigenetic aging: the atherosclerosis risk in communities study
title_fullStr Cerebral white matter hyperintensities on MRI and acceleration of epigenetic aging: the atherosclerosis risk in communities study
title_full_unstemmed Cerebral white matter hyperintensities on MRI and acceleration of epigenetic aging: the atherosclerosis risk in communities study
title_short Cerebral white matter hyperintensities on MRI and acceleration of epigenetic aging: the atherosclerosis risk in communities study
title_sort cerebral white matter hyperintensities on mri and acceleration of epigenetic aging: the atherosclerosis risk in communities study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310061/
https://www.ncbi.nlm.nih.gov/pubmed/28289478
http://dx.doi.org/10.1186/s13148-016-0302-6
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