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Research Paper|Volume 12, Issue 12|pp 11942—11966

Biomarkers of aging and lung function in the normative aging study

Cuicui Wang1, Allan Just2, Jonathan Heiss2, Brent A. Coull1,3, Lifang Hou4, Yinan Zheng4, David Sparrow5,6, Pantel S. Vokonas5,6, Andrea Baccarelli7, Joel Schwartz1
  • 1Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
  • 2Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
  • 3Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
  • 4Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
  • 5VA Normative Aging Study, VA Boston Healthcare System, Boston, MA 02130, USA
  • 6Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
  • 7Department of Epidemiology and Environmental Health Sciences, Columbia University, New York, NY 10027, USA
Received: February 20, 2019Accepted: May 20, 2020Published: June 19, 2020

Copyright © 2020 Wang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Elderly individuals who are never smokers but have the same height and chronological age can have substantial differences in lung function. The underlying biological mechanisms are unclear. To evaluate the associations of different biomarkers of aging (BoA) and lung function, we performed a repeated-measures analysis in the Normative Aging Study using linear mixed-effect models. We generated GrimAgeAccel, PhenoAgeAccel, extrinsic and intrinsic epigenetic age acceleration using a publically available online calculator. We calculated Zhang’s DNAmRiskScore based on 10 CpGs. We measured telomere length (TL) and mitochondrial DNA copy number (mtDNA-CN) using quantitative real-time polymerase chain reaction. A pulmonary function test was performed measuring forced expiratory volume in 1 second / forced vital capacity (FEV1/FVC), FEV1, and maximum mid-expiratory flow (MMEF). Epigenetic-based BoA were associated with lower lung function. For example, a one-year increase in GrimAgeAccel was associated with a 13.64 mL [95% confidence interval (CI), 5.11 to 22.16] decline in FEV1; a 0.2 increase in Zhang’s DNAmRiskScore was associated with a 0.009 L/s (0.005 to 0.013) reduction in MMEF. No association was found between TL/mtDNA-CN and lung function. Overall, this paper shows that epigenetics might be a potential mechanism underlying pulmonary dysfunction in the elderly.