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Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels
Age of Huntington's disease (HD) motoric onset is strongly related to the number of CAG trinucleotide repeats in the huntingtin gene, suggesting that biological tissue age plays an important role in disease etiology. Recently, a DNA methylation based biomarker of tissue age has been advanced as...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993344/ https://www.ncbi.nlm.nih.gov/pubmed/27479945 http://dx.doi.org/10.18632/aging.101005 |
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author | Horvath, Steve Langfelder, Peter Kwak, Seung Aaronson, Jeff Rosinski, Jim Vogt, Thomas F. Eszes, Marika Faull, Richard L.M. Curtis, Maurice A. Waldvogel, Henry J. Choi, Oi-Wa Tung, Spencer Vinters, Harry V. Coppola, Giovanni Yang, X. William |
author_facet | Horvath, Steve Langfelder, Peter Kwak, Seung Aaronson, Jeff Rosinski, Jim Vogt, Thomas F. Eszes, Marika Faull, Richard L.M. Curtis, Maurice A. Waldvogel, Henry J. Choi, Oi-Wa Tung, Spencer Vinters, Harry V. Coppola, Giovanni Yang, X. William |
author_sort | Horvath, Steve |
collection | PubMed |
description | Age of Huntington's disease (HD) motoric onset is strongly related to the number of CAG trinucleotide repeats in the huntingtin gene, suggesting that biological tissue age plays an important role in disease etiology. Recently, a DNA methylation based biomarker of tissue age has been advanced as an epigenetic aging clock. We sought to inquire if HD is associated with an accelerated epigenetic age. DNA methylation data was generated for 475 brain samples from various brain regions of 26 HD cases and 39 controls. Overall, brain regions from HD cases exhibit a significant epigenetic age acceleration effect (p=0.0012). A multivariate model analysis suggests that HD status increases biological age by 3.2 years. Accelerated epigenetic age can be observed in specific brain regions (frontal lobe, parietal lobe, and cingulate gyrus). After excluding controls, we observe a negative correlation (r=−0.41, p=5.5×10(−8)) between HD gene CAG repeat length and the epigenetic age of HD brain samples. Using correlation network analysis, we identify 11 co-methylation modules with a significant association with HD status across 3 broad cortical regions. In conclusion, HD is associated with an accelerated epigenetic age of specific brain regions and more broadly with substantial changes in brain methylation levels. |
format | Online Article Text |
id | pubmed-4993344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-49933442016-08-26 Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels Horvath, Steve Langfelder, Peter Kwak, Seung Aaronson, Jeff Rosinski, Jim Vogt, Thomas F. Eszes, Marika Faull, Richard L.M. Curtis, Maurice A. Waldvogel, Henry J. Choi, Oi-Wa Tung, Spencer Vinters, Harry V. Coppola, Giovanni Yang, X. William Aging (Albany NY) Research Paper Age of Huntington's disease (HD) motoric onset is strongly related to the number of CAG trinucleotide repeats in the huntingtin gene, suggesting that biological tissue age plays an important role in disease etiology. Recently, a DNA methylation based biomarker of tissue age has been advanced as an epigenetic aging clock. We sought to inquire if HD is associated with an accelerated epigenetic age. DNA methylation data was generated for 475 brain samples from various brain regions of 26 HD cases and 39 controls. Overall, brain regions from HD cases exhibit a significant epigenetic age acceleration effect (p=0.0012). A multivariate model analysis suggests that HD status increases biological age by 3.2 years. Accelerated epigenetic age can be observed in specific brain regions (frontal lobe, parietal lobe, and cingulate gyrus). After excluding controls, we observe a negative correlation (r=−0.41, p=5.5×10(−8)) between HD gene CAG repeat length and the epigenetic age of HD brain samples. Using correlation network analysis, we identify 11 co-methylation modules with a significant association with HD status across 3 broad cortical regions. In conclusion, HD is associated with an accelerated epigenetic age of specific brain regions and more broadly with substantial changes in brain methylation levels. Impact Journals LLC 2016-07-27 /pmc/articles/PMC4993344/ /pubmed/27479945 http://dx.doi.org/10.18632/aging.101005 Text en Copyright: © 2016 Horvath et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Horvath, Steve Langfelder, Peter Kwak, Seung Aaronson, Jeff Rosinski, Jim Vogt, Thomas F. Eszes, Marika Faull, Richard L.M. Curtis, Maurice A. Waldvogel, Henry J. Choi, Oi-Wa Tung, Spencer Vinters, Harry V. Coppola, Giovanni Yang, X. William Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels |
title | Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels |
title_full | Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels |
title_fullStr | Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels |
title_full_unstemmed | Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels |
title_short | Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels |
title_sort | huntington's disease accelerates epigenetic aging of human brain and disrupts dna methylation levels |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993344/ https://www.ncbi.nlm.nih.gov/pubmed/27479945 http://dx.doi.org/10.18632/aging.101005 |
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