Associations between long-term exposure to PM2.5 component species and blood DNA methylation age in the elderlyThe VA normative aging study

Jamaji C. Nwanaji-Enwerem*, Lingzhen Dai, Elena Colicino, Youssef Oulhote, Qian Di, Itai Kloog, Allan C. Just, Lifang Hou, Pantel Vokonas, Andrea A. Baccarelli, Marc G. Weisskopf, Joel D. Schwartz

*Corresponding author for this work

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Background Long-term PM2.5 exposure and aging have been implicated in multiple shared diseases; studying their relationship is a promising strategy to further understand the adverse impact of PM2.5 on human health. Objective We assessed the relationship of major PM2.5 component species (ammonium, elemental carbon, organic carbon, nitrate, and sulfate) with Horvath and Hannum DNA methylation (DNAm) age, two DNA methylation-based predictors of chronological age. Methods This analysis included 552 participants from the Normative Aging Study with multiple visits between 2000 and 2011 (n = 940 visits). We estimated 1-year PM2.5 species levels at participants' addresses using the GEOS-chem transport model. Blood DNAm-age was calculated using CpG sites on the Illumina HumanMethylation450 BeadChip. We fit linear mixed-effects models, controlling for PM2.5 mass and lifestyle/environmental factors as fixed effects, with the adaptive LASSO penalty to identify PM2.5 species associated with DNAm-age. Results Sulfate and ammonium were selected by the LASSO in the Horvath DNAm-age models. In a fully-adjusted multiple-species model, interquartile range increases in both 1-year sulfate (95%CI0.28, 0.74, P < 0.0001) and ammonium (95%CI0.02, 0.70, P = 0.04) levels were associated with at least a 0.36-year increase in Horvath DNAm-age. No PM2.5 species were selected by the LASSO in the Hannum DNAm-age models. Our findings persisted in sensitivity analyses including only visits with 1-year PM2.5 levels within US EPA national ambient air quality standards. Conclusion Our results demonstrate that sulfate and ammonium were most associated with Horvath DNAm-age and suggest that DNAm-age measures differ in their sensitivity to ambient particle exposures and potentially disease.

Original languageEnglish (US)
Pages (from-to)57-65
Number of pages9
JournalEnvironment International
Volume102
DOIs
StatePublished - Jan 1 2017

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methylation
blood
DNA
ammonium
sulfate
exposure
EOS
lifestyle
ambient air
air quality
environmental factor
organic carbon
nitrate
carbon

Keywords

  • DNA methylation age
  • Epigenetics
  • Long-term exposure
  • Particulate matter 2.5

ASJC Scopus subject areas

  • Environmental Science(all)

Cite this

Nwanaji-Enwerem, Jamaji C. ; Dai, Lingzhen ; Colicino, Elena ; Oulhote, Youssef ; Di, Qian ; Kloog, Itai ; Just, Allan C. ; Hou, Lifang ; Vokonas, Pantel ; Baccarelli, Andrea A. ; Weisskopf, Marc G. ; Schwartz, Joel D. / Associations between long-term exposure to PM2.5 component species and blood DNA methylation age in the elderlyThe VA normative aging study. In: Environment International. 2017 ; Vol. 102. pp. 57-65.
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title = "Associations between long-term exposure to PM2.5 component species and blood DNA methylation age in the elderlyThe VA normative aging study",
abstract = "Background Long-term PM2.5 exposure and aging have been implicated in multiple shared diseases; studying their relationship is a promising strategy to further understand the adverse impact of PM2.5 on human health. Objective We assessed the relationship of major PM2.5 component species (ammonium, elemental carbon, organic carbon, nitrate, and sulfate) with Horvath and Hannum DNA methylation (DNAm) age, two DNA methylation-based predictors of chronological age. Methods This analysis included 552 participants from the Normative Aging Study with multiple visits between 2000 and 2011 (n = 940 visits). We estimated 1-year PM2.5 species levels at participants' addresses using the GEOS-chem transport model. Blood DNAm-age was calculated using CpG sites on the Illumina HumanMethylation450 BeadChip. We fit linear mixed-effects models, controlling for PM2.5 mass and lifestyle/environmental factors as fixed effects, with the adaptive LASSO penalty to identify PM2.5 species associated with DNAm-age. Results Sulfate and ammonium were selected by the LASSO in the Horvath DNAm-age models. In a fully-adjusted multiple-species model, interquartile range increases in both 1-year sulfate (95{\%}CI0.28, 0.74, P < 0.0001) and ammonium (95{\%}CI0.02, 0.70, P = 0.04) levels were associated with at least a 0.36-year increase in Horvath DNAm-age. No PM2.5 species were selected by the LASSO in the Hannum DNAm-age models. Our findings persisted in sensitivity analyses including only visits with 1-year PM2.5 levels within US EPA national ambient air quality standards. Conclusion Our results demonstrate that sulfate and ammonium were most associated with Horvath DNAm-age and suggest that DNAm-age measures differ in their sensitivity to ambient particle exposures and potentially disease.",
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author = "Nwanaji-Enwerem, {Jamaji C.} and Lingzhen Dai and Elena Colicino and Youssef Oulhote and Qian Di and Itai Kloog and Just, {Allan C.} and Lifang Hou and Pantel Vokonas and Baccarelli, {Andrea A.} and Weisskopf, {Marc G.} and Schwartz, {Joel D.}",
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Nwanaji-Enwerem, JC, Dai, L, Colicino, E, Oulhote, Y, Di, Q, Kloog, I, Just, AC, Hou, L, Vokonas, P, Baccarelli, AA, Weisskopf, MG & Schwartz, JD 2017, 'Associations between long-term exposure to PM2.5 component species and blood DNA methylation age in the elderlyThe VA normative aging study', Environment International, vol. 102, pp. 57-65. https://doi.org/10.1016/j.envint.2016.12.024

Associations between long-term exposure to PM2.5 component species and blood DNA methylation age in the elderlyThe VA normative aging study. / Nwanaji-Enwerem, Jamaji C.; Dai, Lingzhen; Colicino, Elena; Oulhote, Youssef; Di, Qian; Kloog, Itai; Just, Allan C.; Hou, Lifang; Vokonas, Pantel; Baccarelli, Andrea A.; Weisskopf, Marc G.; Schwartz, Joel D.

In: Environment International, Vol. 102, 01.01.2017, p. 57-65.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Associations between long-term exposure to PM2.5 component species and blood DNA methylation age in the elderlyThe VA normative aging study

AU - Nwanaji-Enwerem, Jamaji C.

AU - Dai, Lingzhen

AU - Colicino, Elena

AU - Oulhote, Youssef

AU - Di, Qian

AU - Kloog, Itai

AU - Just, Allan C.

AU - Hou, Lifang

AU - Vokonas, Pantel

AU - Baccarelli, Andrea A.

AU - Weisskopf, Marc G.

AU - Schwartz, Joel D.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Background Long-term PM2.5 exposure and aging have been implicated in multiple shared diseases; studying their relationship is a promising strategy to further understand the adverse impact of PM2.5 on human health. Objective We assessed the relationship of major PM2.5 component species (ammonium, elemental carbon, organic carbon, nitrate, and sulfate) with Horvath and Hannum DNA methylation (DNAm) age, two DNA methylation-based predictors of chronological age. Methods This analysis included 552 participants from the Normative Aging Study with multiple visits between 2000 and 2011 (n = 940 visits). We estimated 1-year PM2.5 species levels at participants' addresses using the GEOS-chem transport model. Blood DNAm-age was calculated using CpG sites on the Illumina HumanMethylation450 BeadChip. We fit linear mixed-effects models, controlling for PM2.5 mass and lifestyle/environmental factors as fixed effects, with the adaptive LASSO penalty to identify PM2.5 species associated with DNAm-age. Results Sulfate and ammonium were selected by the LASSO in the Horvath DNAm-age models. In a fully-adjusted multiple-species model, interquartile range increases in both 1-year sulfate (95%CI0.28, 0.74, P < 0.0001) and ammonium (95%CI0.02, 0.70, P = 0.04) levels were associated with at least a 0.36-year increase in Horvath DNAm-age. No PM2.5 species were selected by the LASSO in the Hannum DNAm-age models. Our findings persisted in sensitivity analyses including only visits with 1-year PM2.5 levels within US EPA national ambient air quality standards. Conclusion Our results demonstrate that sulfate and ammonium were most associated with Horvath DNAm-age and suggest that DNAm-age measures differ in their sensitivity to ambient particle exposures and potentially disease.

AB - Background Long-term PM2.5 exposure and aging have been implicated in multiple shared diseases; studying their relationship is a promising strategy to further understand the adverse impact of PM2.5 on human health. Objective We assessed the relationship of major PM2.5 component species (ammonium, elemental carbon, organic carbon, nitrate, and sulfate) with Horvath and Hannum DNA methylation (DNAm) age, two DNA methylation-based predictors of chronological age. Methods This analysis included 552 participants from the Normative Aging Study with multiple visits between 2000 and 2011 (n = 940 visits). We estimated 1-year PM2.5 species levels at participants' addresses using the GEOS-chem transport model. Blood DNAm-age was calculated using CpG sites on the Illumina HumanMethylation450 BeadChip. We fit linear mixed-effects models, controlling for PM2.5 mass and lifestyle/environmental factors as fixed effects, with the adaptive LASSO penalty to identify PM2.5 species associated with DNAm-age. Results Sulfate and ammonium were selected by the LASSO in the Horvath DNAm-age models. In a fully-adjusted multiple-species model, interquartile range increases in both 1-year sulfate (95%CI0.28, 0.74, P < 0.0001) and ammonium (95%CI0.02, 0.70, P = 0.04) levels were associated with at least a 0.36-year increase in Horvath DNAm-age. No PM2.5 species were selected by the LASSO in the Hannum DNAm-age models. Our findings persisted in sensitivity analyses including only visits with 1-year PM2.5 levels within US EPA national ambient air quality standards. Conclusion Our results demonstrate that sulfate and ammonium were most associated with Horvath DNAm-age and suggest that DNAm-age measures differ in their sensitivity to ambient particle exposures and potentially disease.

KW - DNA methylation age

KW - Epigenetics

KW - Long-term exposure

KW - Particulate matter 2.5

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