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Epigenetic age predictors in community-dwelling adults with high impact knee pain

Gerontological research reveals considerable interindividual variability in aging phenotypes, and emerging evidence suggests that high impact chronic pain may be associated with various accelerated biological aging processes. In particular, epigenetic aging is a robust predictor of health-span and d...

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Autores principales: Cruz-Almeida, Yenisel, Johnson, Alisa, Meng, Lingsong, Sinha, Puja, Rani, Asha, Yoder, Sean, Huo, Zhiguang, Foster, Thomas C., Fillingim, Roger B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380216/
https://www.ncbi.nlm.nih.gov/pubmed/35968561
http://dx.doi.org/10.1177/17448069221118004
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author Cruz-Almeida, Yenisel
Johnson, Alisa
Meng, Lingsong
Sinha, Puja
Rani, Asha
Yoder, Sean
Huo, Zhiguang
Foster, Thomas C.
Fillingim, Roger B.
author_facet Cruz-Almeida, Yenisel
Johnson, Alisa
Meng, Lingsong
Sinha, Puja
Rani, Asha
Yoder, Sean
Huo, Zhiguang
Foster, Thomas C.
Fillingim, Roger B.
author_sort Cruz-Almeida, Yenisel
collection PubMed
description Gerontological research reveals considerable interindividual variability in aging phenotypes, and emerging evidence suggests that high impact chronic pain may be associated with various accelerated biological aging processes. In particular, epigenetic aging is a robust predictor of health-span and disability compared to chronological age alone. The current study aimed to determine whether several epigenetic aging biomarkers were associated with high impact chronic pain in middle to older age adults (44–78 years old). Participants (n = 213) underwent a blood draw, demographic, psychosocial, pain and functional assessments. We estimated five epigenetic clocks and calculated the difference between epigenetic age and chronological age, which has been previously reported to predict overall mortality risk, as well as included additional derived variables of epigenetic age previously associated with pain. There were significant differences across Pain Impact groups in three out of the five epigenetic clocks examined (DNAmAge, DNAmPhenoAge and DNAmGrimAge), indicating that pain-related disability during the past 6 months was associated with markers of epigenetic aging. Only DNAmPhenoAge and DNAmGrimAge were associated with higher knee pain intensity during the past 48 h. Finally, pain catastrophizing, depressive symptomatology and more neuropathic pain symptoms were significantly associated with an older epigenome in only one of the five epigenetic clocks (i.e. DNAmGrimAge) after correcting for multiple comparisons (corrected p’s < 0.05). Given the scant literature in relation to epigenetic aging and the complex experience of pain, additional research is needed to understand whether epigenetic aging may help identify people with chronic pain at greater risk of functional decline and poorer health outcomes.
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spelling pubmed-93802162022-08-17 Epigenetic age predictors in community-dwelling adults with high impact knee pain Cruz-Almeida, Yenisel Johnson, Alisa Meng, Lingsong Sinha, Puja Rani, Asha Yoder, Sean Huo, Zhiguang Foster, Thomas C. Fillingim, Roger B. Mol Pain Research Article Gerontological research reveals considerable interindividual variability in aging phenotypes, and emerging evidence suggests that high impact chronic pain may be associated with various accelerated biological aging processes. In particular, epigenetic aging is a robust predictor of health-span and disability compared to chronological age alone. The current study aimed to determine whether several epigenetic aging biomarkers were associated with high impact chronic pain in middle to older age adults (44–78 years old). Participants (n = 213) underwent a blood draw, demographic, psychosocial, pain and functional assessments. We estimated five epigenetic clocks and calculated the difference between epigenetic age and chronological age, which has been previously reported to predict overall mortality risk, as well as included additional derived variables of epigenetic age previously associated with pain. There were significant differences across Pain Impact groups in three out of the five epigenetic clocks examined (DNAmAge, DNAmPhenoAge and DNAmGrimAge), indicating that pain-related disability during the past 6 months was associated with markers of epigenetic aging. Only DNAmPhenoAge and DNAmGrimAge were associated with higher knee pain intensity during the past 48 h. Finally, pain catastrophizing, depressive symptomatology and more neuropathic pain symptoms were significantly associated with an older epigenome in only one of the five epigenetic clocks (i.e. DNAmGrimAge) after correcting for multiple comparisons (corrected p’s < 0.05). Given the scant literature in relation to epigenetic aging and the complex experience of pain, additional research is needed to understand whether epigenetic aging may help identify people with chronic pain at greater risk of functional decline and poorer health outcomes. SAGE Publications 2022-08-14 /pmc/articles/PMC9380216/ /pubmed/35968561 http://dx.doi.org/10.1177/17448069221118004 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Research Article
Cruz-Almeida, Yenisel
Johnson, Alisa
Meng, Lingsong
Sinha, Puja
Rani, Asha
Yoder, Sean
Huo, Zhiguang
Foster, Thomas C.
Fillingim, Roger B.
Epigenetic age predictors in community-dwelling adults with high impact knee pain
title Epigenetic age predictors in community-dwelling adults with high impact knee pain
title_full Epigenetic age predictors in community-dwelling adults with high impact knee pain
title_fullStr Epigenetic age predictors in community-dwelling adults with high impact knee pain
title_full_unstemmed Epigenetic age predictors in community-dwelling adults with high impact knee pain
title_short Epigenetic age predictors in community-dwelling adults with high impact knee pain
title_sort epigenetic age predictors in community-dwelling adults with high impact knee pain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380216/
https://www.ncbi.nlm.nih.gov/pubmed/35968561
http://dx.doi.org/10.1177/17448069221118004
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