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Investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome

Epigenetic age estimations based on DNA methylation (DNAm) can predict human chronological age with a high level of accuracy. These DNAm age algorithms can also be used to index advanced cellular age, when estimated DNAm age exceeds chronological age. Advanced DNAm age has been associated with sever...

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Autores principales: Morrison, Filomene G., Logue, Mark W., Guetta, Rachel, Maniates, Hannah, Stone, Annjanette, Schichman, Steven A., McGlinchey, Regina E., Milberg, William P., Miller, Mark W., Wolf, Erika J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594822/
https://www.ncbi.nlm.nih.gov/pubmed/31173577
http://dx.doi.org/10.18632/aging.101992
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author Morrison, Filomene G.
Logue, Mark W.
Guetta, Rachel
Maniates, Hannah
Stone, Annjanette
Schichman, Steven A.
McGlinchey, Regina E.
Milberg, William P.
Miller, Mark W.
Wolf, Erika J.
author_facet Morrison, Filomene G.
Logue, Mark W.
Guetta, Rachel
Maniates, Hannah
Stone, Annjanette
Schichman, Steven A.
McGlinchey, Regina E.
Milberg, William P.
Miller, Mark W.
Wolf, Erika J.
author_sort Morrison, Filomene G.
collection PubMed
description Epigenetic age estimations based on DNA methylation (DNAm) can predict human chronological age with a high level of accuracy. These DNAm age algorithms can also be used to index advanced cellular age, when estimated DNAm age exceeds chronological age. Advanced DNAm age has been associated with several diseases and metabolic and inflammatory pathology, but the causal direction of this association is unclear. The goal of this study was to examine potential bidirectional associations between advanced epigenetic age and metabolic and inflammatory markers over time in a longitudinal cohort of 179 veterans with a high prevalence of posttraumatic stress disorder (PTSD) who were assessed over the course of two years. Analyses focused on two commonly investigated metrics of advanced DNAm age derived from the Horvath (developed across multiple tissue types) and Hannum (developed in whole blood) DNAm age algorithms. Results of cross-lagged panel models revealed that advanced Hannum DNAm age at Time 1 (T1) was associated with increased (i.e., accounting for T1 levels) metabolic syndrome (MetS) severity at Time 2 (T2; p = < 0.001). This association was specific to worsening lipid panels and indicators of abdominal obesity ( p = 0.001). In contrast, no baseline measures of inflammation or metabolic pathology were associated with changes in advanced epigenetic age over time. No associations emerged between advanced Horvath DNAm age and any of the examined biological parameters. Results suggest that advanced epigenetic age, when measured using an algorithm developed in whole blood, may be a prognostic marker of pathological metabolic processes. This carries implications for understanding pathways linking advanced epigenetic age to morbidity and mortality.
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spelling pubmed-65948222019-07-01 Investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome Morrison, Filomene G. Logue, Mark W. Guetta, Rachel Maniates, Hannah Stone, Annjanette Schichman, Steven A. McGlinchey, Regina E. Milberg, William P. Miller, Mark W. Wolf, Erika J. Aging (Albany NY) Research Paper Epigenetic age estimations based on DNA methylation (DNAm) can predict human chronological age with a high level of accuracy. These DNAm age algorithms can also be used to index advanced cellular age, when estimated DNAm age exceeds chronological age. Advanced DNAm age has been associated with several diseases and metabolic and inflammatory pathology, but the causal direction of this association is unclear. The goal of this study was to examine potential bidirectional associations between advanced epigenetic age and metabolic and inflammatory markers over time in a longitudinal cohort of 179 veterans with a high prevalence of posttraumatic stress disorder (PTSD) who were assessed over the course of two years. Analyses focused on two commonly investigated metrics of advanced DNAm age derived from the Horvath (developed across multiple tissue types) and Hannum (developed in whole blood) DNAm age algorithms. Results of cross-lagged panel models revealed that advanced Hannum DNAm age at Time 1 (T1) was associated with increased (i.e., accounting for T1 levels) metabolic syndrome (MetS) severity at Time 2 (T2; p = < 0.001). This association was specific to worsening lipid panels and indicators of abdominal obesity ( p = 0.001). In contrast, no baseline measures of inflammation or metabolic pathology were associated with changes in advanced epigenetic age over time. No associations emerged between advanced Horvath DNAm age and any of the examined biological parameters. Results suggest that advanced epigenetic age, when measured using an algorithm developed in whole blood, may be a prognostic marker of pathological metabolic processes. This carries implications for understanding pathways linking advanced epigenetic age to morbidity and mortality. Impact Journals 2019-06-07 /pmc/articles/PMC6594822/ /pubmed/31173577 http://dx.doi.org/10.18632/aging.101992 Text en Copyright © 2019 Morrison et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Morrison, Filomene G.
Logue, Mark W.
Guetta, Rachel
Maniates, Hannah
Stone, Annjanette
Schichman, Steven A.
McGlinchey, Regina E.
Milberg, William P.
Miller, Mark W.
Wolf, Erika J.
Investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome
title Investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome
title_full Investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome
title_fullStr Investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome
title_full_unstemmed Investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome
title_short Investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome
title_sort investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594822/
https://www.ncbi.nlm.nih.gov/pubmed/31173577
http://dx.doi.org/10.18632/aging.101992
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