Arsenic Exposure and Epigenetic Aging: The Association with Cardiovascular Disease and All-Cause Mortality in the Strong Heart Study.


Journal

Environmental health perspectives
ISSN: 1552-9924
Titre abrégé: Environ Health Perspect
Pays: United States
ID NLM: 0330411

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 22 12 2023
pubmed: 22 12 2023
entrez: 22 12 2023
Statut: ppublish

Résumé

Inorganic arsenic (As) may increase the risk of cardiovascular disease (CVD) and all-cause mortality through accelerated aging, which can be estimated using epigenetic-based measures. We evaluated three DNA methylation-based aging measures (PhenoAge, GrimAge, DunedinPACE) (epigenetic aging measures) as potential mediators of the previously reported association of As exposure with CVD incidence, CVD mortality, and all-cause mortality in the Strong Heart Study (SHS), an epidemiological cohort of American Indian adults. Blood DNA methylation and urinary As levels were measured in 2,323 SHS participants (41.5% men, mean age of 55 years old). PhenoAge and GrimAge values were calculated using a residual-based method. We tested the association of urinary As with epigenetic aging measures using linear regression, the association of epigenetic aging measures with the three health outcomes using additive hazards models, and the mediation of As-related CVD incidence, CVD mortality, and all-cause mortality by epigenetic aging measures using the product of coefficients method. SHS participants with higher vs. lower urinary As levels had similar PhenoAge age, older GrimAge age, and faster DunedinPACE. An interquartile range increase in urinary As was associated with higher of PhenoAge age acceleration [ Arsenic exposure was associated with older GrimAge and faster DunedinPACE measures of biological age. Furthermore, accelerated biological aging measured from DNA methylation accounted for a relevant fraction of As-associated risk for CVD, CVD mortality, and all-cause mortality in the SHS, supporting the role of As in accelerated aging. Research of the biological underpinnings can contribute to a better understanding of the role of aging in arsenic-related disease. https://doi.org/10.1289/EHP11981.

Sections du résumé

BACKGROUND UNASSIGNED
Inorganic arsenic (As) may increase the risk of cardiovascular disease (CVD) and all-cause mortality through accelerated aging, which can be estimated using epigenetic-based measures.
OBJECTIVES UNASSIGNED
We evaluated three DNA methylation-based aging measures (PhenoAge, GrimAge, DunedinPACE) (epigenetic aging measures) as potential mediators of the previously reported association of As exposure with CVD incidence, CVD mortality, and all-cause mortality in the Strong Heart Study (SHS), an epidemiological cohort of American Indian adults.
METHODS UNASSIGNED
Blood DNA methylation and urinary As levels were measured in 2,323 SHS participants (41.5% men, mean age of 55 years old). PhenoAge and GrimAge values were calculated using a residual-based method. We tested the association of urinary As with epigenetic aging measures using linear regression, the association of epigenetic aging measures with the three health outcomes using additive hazards models, and the mediation of As-related CVD incidence, CVD mortality, and all-cause mortality by epigenetic aging measures using the product of coefficients method.
RESULTS UNASSIGNED
SHS participants with higher vs. lower urinary As levels had similar PhenoAge age, older GrimAge age, and faster DunedinPACE. An interquartile range increase in urinary As was associated with higher of PhenoAge age acceleration [
DISCUSSION UNASSIGNED
Arsenic exposure was associated with older GrimAge and faster DunedinPACE measures of biological age. Furthermore, accelerated biological aging measured from DNA methylation accounted for a relevant fraction of As-associated risk for CVD, CVD mortality, and all-cause mortality in the SHS, supporting the role of As in accelerated aging. Research of the biological underpinnings can contribute to a better understanding of the role of aging in arsenic-related disease. https://doi.org/10.1289/EHP11981.

Identifiants

pubmed: 38133959
doi: 10.1289/EHP11981
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

127016

Auteurs

Enoch X Jiang (EX)

Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.

Arce Domingo-Relloso (A)

Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.
Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
Department of Statistics and Operations Research, University of Valencia, Valencia, Spain.

Ahlam Abuawad (A)

Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.

Karin Haack (K)

Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA.

Maria Tellez-Plaza (M)

Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.

M Danielle Fallin (MD)

Department of Mental Health, Johns Hopkins University, Baltimore, Maryland, USA.
Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA.

Jason G Umans (JG)

MedStar Health Research Institute, Washington, DC, USA.
Center for Clinical and Translational Sciences, Georgetown/Howard Universities, Washington, DC, USA.

Lyle G Best (LG)

Missouri Breaks Industries Research, Eagle Butte, South Dakota, USA.

Ying Zhang (Y)

Center for American Indian Health Research, Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.

Allison Kupsco (A)

Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.

Daniel W Belsky (DW)

Department of Epidemiology, Columbia University, New York, USA.
Butler Columbia Aging Center, Columbia University, New York, USA.

Shelley A Cole (SA)

Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA.

Ana Navas-Acien (A)

Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.

Classifications MeSH