Associations Between Epigenetic Age Acceleration and microRNA Expression Among U.S. Firefighters

Author:

Jung Alesia M12,Furlong Melissa A1,Goodrich Jaclyn M3,Cardenas Andres4ORCID,Beitel Shawn C1,Littau Sally R1,Caban-Martinez Alberto J5,Gulotta John J6,Wallentine Darin D6,Urwin Derek789ORCID,Gabriel Jamie7,Hughes Jeffrey10,Graber Judith M11,Grant Casey12,Burgess Jefferey L1

Affiliation:

1. Department of Community, Environment & Policy, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA

2. Department of Pharmacology & Toxicology, R. Ken Coit College of Pharmacy, College of Public Health, Tucson, AZ, USA

3. Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA

4. Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA

5. Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA

6. Sarasota Fire Department, Sarasota, FL, USA

7. Los Angeles County Fire Department, Los Angeles, CA, USA

8. Department of Chemistry & Biochemistry, University of California Los Angeles, Los Angeles, CA, USA

9. Division of Health Safety and Medicine, International Association of Fire Fighters, Washington, DC, USA

10. Orange County Fire Authority, Irvine, CA, USA

11. Department of Biostatistics & Epidemiology, School of Public Health, Rutgers University, Piscataway, NJ, USA

12. Fire Protection Research Foundation, Quincy, MA, USA

Abstract

Epigenetic changes may be biomarkers of health. Epigenetic age acceleration (EAA), the discrepancy between epigenetic age measured via epigenetic clocks and chronological age, is associated with morbidity and mortality. However, the intersection of epigenetic clocks with microRNAs (miRNAs) and corresponding miRNA-based health implications have not been evaluated. We analyzed DNA methylation and miRNA profiles from blood sampled among 332 individuals enrolled across 2 U.S.-based firefighter occupational studies (2015-2018 and 2018-2020). We considered 7 measures of EAA in leukocytes (PhenoAge, GrimAge, Horvath, skin-blood, and Hannum epigenetic clocks, and extrinsic and intrinsic epigenetic age acceleration). We identified miRNAs associated with EAA using individual linear regression models, adjusted for sex, race/ethnicity, chronological age, and cell type estimates, and investigated downstream effects of associated miRNAs with miRNA enrichment analyses and genomic annotations. On average, participants were 38 years old, 88% male, and 75% non-Hispanic white. We identified 183 of 798 miRNAs associated with EAA (FDR q < 0.05); 126 with PhenoAge, 59 with GrimAge, 1 with Horvath, and 1 with the skin-blood clock. Among miRNAs associated with Horvath and GrimAge, there were 61 significantly enriched disease annotations including age-related metabolic and cardiovascular conditions and several cancers. Enriched pathways included those related to proteins and protein modification. We identified miRNAs associated with EAA of multiple epigenetic clocks. PhenoAge had more associations with individual miRNAs, but GrimAge and Horvath had greater implications for miRNA-associated pathways. Understanding the relationship between these epigenetic markers could contribute to our understanding of the molecular underpinnings of aging and aging-related diseases.

Publisher

SAGE Publications

Subject

Genetics,Biochemistry

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