Socioeconomic Status, Knee Pain, and Epigenetic Aging in Community-Dwelling Middle-to-Older Age Adults.

Chronic pain DNAmGrimAge aging epigenetic aging socioeconomic status

Journal

The journal of pain
ISSN: 1528-8447
Titre abrégé: J Pain
Pays: United States
ID NLM: 100898657

Informations de publication

Date de publication:
12 Jun 2023
Historique:
received: 28 10 2022
revised: 22 05 2023
accepted: 06 06 2023
pmc-release: 12 12 2024
pubmed: 15 6 2023
medline: 15 6 2023
entrez: 14 6 2023
Statut: aheadofprint

Résumé

Chronic musculoskeletal pain is often associated with lower socioeconomic status (SES). SES correlates with psychological and environmental conditions that could contribute to the disproportionate burden of chronic stress. Chronic stress can induce changes in global DNA methylation and gene expression, which increases risk of chronic pain. We aimed to explore the association of epigenetic aging and SES in middle-to-older age individuals with varying degrees of knee pain. Participants completed self-reported pain, a blood draw, and answered demographic questions pertaining to SES. We used an epigenetic clock previously associated with knee pain (DNAmGrimAge) and the subsequent difference of predicted epigenetic age (DNAmGrimAge-Diff). Overall, the mean DNAmGrimAge was 60.3 (±7.6), and the average DNAmGrimAge-diff was 2.4 years (±5.6 years). Those experiencing high-impact pain earned less income and had lower education levels compared to both low-impact and no pain groups. Differences in DNAmGrimAge-diff across pain groups were found, whereby individuals with high-impact pain had accelerated epigenetic aging (∼5 years) compared to low-impact pain and no pain control groups (both ∼1 year). Our main finding was that epigenetic aging mediated the associations of income and education with pain impact, as such the relationship between SES and pain outcomes may occur through potential interactions with the epigenome reflective of accelerated cellular aging. PERSPECTIVE: Socioeconomic status (SES) has previously been implicated in the pain experience. The present manuscript aims to present a potential social-biological link between SES and pain via accelerated epigenetic aging.

Identifiants

pubmed: 37315728
pii: S1526-5900(23)00440-6
doi: 10.1016/j.jpain.2023.06.002
pmc: PMC10713866
mid: NIHMS1909232
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIA NIH HHS
ID : R01 AG059809
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG067757
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG076082
Pays : United States

Informations de copyright

Copyright © 2023 United States Association for the Study of Pain, Inc. Published by Elsevier Inc. All rights reserved.

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Auteurs

Larissa J Strath (LJ)

Pain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida; Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, Florida.

Jessica A Peterson (JA)

Pain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida; Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, Florida.

Lingsong Meng (L)

Department of Biostatistics, University of Florida, Gainesville, Florida.

Asha Rani (A)

Department of Neuroscience, McKnight Brain Institute, University of Florida, Gainesville, Florida.

Zhiguang Huo (Z)

Department of Biostatistics, University of Florida, Gainesville, Florida.

Thomas C Foster (TC)

Genetics and Genomics Program, University of Florida, Gainesville, Florida.

Roger B Fillingim (RB)

Pain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida; Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, Florida.

Yenisel Cruz-Almeida (Y)

Pain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida; Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, Florida.

Classifications MeSH