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Deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns

BACKGROUND: The epigenetic age can now be extrapolated from one of several epigenetic clocks, which are based on age-related changes in DNA methylation levels at specific multiple CpG sites. Accelerated aging, calculated from the discrepancy between the chronological age and the epigenetic age, has...

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Autores principales: Shahal, Tamar, Segev, Elad, Konstantinovsky, Thomas, Marcus, Yonit, Shefer, Gabi, Pasmanik-Chor, Metsada, Buch, Assaf, Ebenstein, Yuval, Zimmet, Paul, Stern, Naftali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900303/
https://www.ncbi.nlm.nih.gov/pubmed/35255955
http://dx.doi.org/10.1186/s13072-022-00441-y
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author Shahal, Tamar
Segev, Elad
Konstantinovsky, Thomas
Marcus, Yonit
Shefer, Gabi
Pasmanik-Chor, Metsada
Buch, Assaf
Ebenstein, Yuval
Zimmet, Paul
Stern, Naftali
author_facet Shahal, Tamar
Segev, Elad
Konstantinovsky, Thomas
Marcus, Yonit
Shefer, Gabi
Pasmanik-Chor, Metsada
Buch, Assaf
Ebenstein, Yuval
Zimmet, Paul
Stern, Naftali
author_sort Shahal, Tamar
collection PubMed
description BACKGROUND: The epigenetic age can now be extrapolated from one of several epigenetic clocks, which are based on age-related changes in DNA methylation levels at specific multiple CpG sites. Accelerated aging, calculated from the discrepancy between the chronological age and the epigenetic age, has shown to predict morbidity and mortality rate. We assumed that deconvolution of epigenetic age to its components could shed light on the diversity of epigenetic, and by inference, on inter-individual variability in the causes of biological aging. RESULTS: Using the Horvath original epigenetic clock, we identified several CpG sites linked to distinct genes that quantitatively explain much of the inter-personal variability in epigenetic aging, with CpG sites related to secretagogin and malin being the most variable. We show that equal epigenetic age in different subjects can result from variable contribution size of the same CpG sites to the total epigenetic age. In a healthy cohort, the most variable CpG sites are responsible for accelerated and decelerated epigenetic aging, relative to chronological age. CONCLUSIONS: Of the 353 CpG sites that form the basis for the Horvath epigenetic age, we have found the CpG sites that are responsible for accelerated and decelerated epigenetic aging in healthy subjects. However, the relative contribution of each site to aging varies between individuals, leading to variable personal aging patterns. Our findings pave the way to form personalized aging cards allowing the identification of specific genes related to CpG sites, as aging markers, and perhaps treatment of these targets in order to hinder undesirable age drifting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13072-022-00441-y.
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spelling pubmed-89003032022-03-17 Deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns Shahal, Tamar Segev, Elad Konstantinovsky, Thomas Marcus, Yonit Shefer, Gabi Pasmanik-Chor, Metsada Buch, Assaf Ebenstein, Yuval Zimmet, Paul Stern, Naftali Epigenetics Chromatin Research BACKGROUND: The epigenetic age can now be extrapolated from one of several epigenetic clocks, which are based on age-related changes in DNA methylation levels at specific multiple CpG sites. Accelerated aging, calculated from the discrepancy between the chronological age and the epigenetic age, has shown to predict morbidity and mortality rate. We assumed that deconvolution of epigenetic age to its components could shed light on the diversity of epigenetic, and by inference, on inter-individual variability in the causes of biological aging. RESULTS: Using the Horvath original epigenetic clock, we identified several CpG sites linked to distinct genes that quantitatively explain much of the inter-personal variability in epigenetic aging, with CpG sites related to secretagogin and malin being the most variable. We show that equal epigenetic age in different subjects can result from variable contribution size of the same CpG sites to the total epigenetic age. In a healthy cohort, the most variable CpG sites are responsible for accelerated and decelerated epigenetic aging, relative to chronological age. CONCLUSIONS: Of the 353 CpG sites that form the basis for the Horvath epigenetic age, we have found the CpG sites that are responsible for accelerated and decelerated epigenetic aging in healthy subjects. However, the relative contribution of each site to aging varies between individuals, leading to variable personal aging patterns. Our findings pave the way to form personalized aging cards allowing the identification of specific genes related to CpG sites, as aging markers, and perhaps treatment of these targets in order to hinder undesirable age drifting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13072-022-00441-y. BioMed Central 2022-03-07 /pmc/articles/PMC8900303/ /pubmed/35255955 http://dx.doi.org/10.1186/s13072-022-00441-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shahal, Tamar
Segev, Elad
Konstantinovsky, Thomas
Marcus, Yonit
Shefer, Gabi
Pasmanik-Chor, Metsada
Buch, Assaf
Ebenstein, Yuval
Zimmet, Paul
Stern, Naftali
Deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns
title Deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns
title_full Deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns
title_fullStr Deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns
title_full_unstemmed Deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns
title_short Deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns
title_sort deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900303/
https://www.ncbi.nlm.nih.gov/pubmed/35255955
http://dx.doi.org/10.1186/s13072-022-00441-y
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