PMID- 33549618 OWN - NLM STAT- MEDLINE DCOM- 20210421 LR - 20240331 IS - 1096-0953 (Electronic) IS - 0013-9351 (Print) IS - 0013-9351 (Linking) VI - 195 DP - 2021 Apr TI - Associations between PM(2.5) metal components and QT interval length in the Normative Aging Study. PG - 110827 LID - S0013-9351(21)00121-3 [pii] LID - 10.1016/j.envres.2021.110827 [doi] AB - BACKGROUND: Several studies have found associations between increases in QT interval length, a marker of cardiac electrical instability, and short-term fine particulate matter (PM(2.5)) exposures. To our knowledge, this is the first study to examine the association between specific PM(2.5) metal components and QT interval length. METHODS: We measured heart-rate corrected QT interval (QTc) duration among 630 participants in the Normative Aging Study (NAS) based in Eastern Massachusetts between 2000 and 2011. We utilized time-varying linear mixed-effects regressions with a random intercept for each participant to analyze associations between QTc interval and moving averages (0-7 day moving averages) of 24-h mean concentrations of PM(2.5) metal components (vanadium, nickel, copper, zinc and lead) measured at the Harvard Supersite monitoring station. Models were adjusted for daily PM(2.5) mass estimated at a 1 km x 1 km grid cell from a previously validated prediction model and other covariates. Bayesian kernel machine regression (BKMR) was utilized to assess the overall joint effect of the PM(2.5) metal components. RESULTS: We found consistent results with higher lead (Pb) associated with significant higher QTc intervals for both the multi-pollutant and the two pollutant (PM(2.5) mass and a PM(2.5) component) models across the moving averages. The greatest effect of lead on QTc interval was detected for the 4-day moving average lead exposure. In the multi-pollutant model, each 2.72 ng/m(3) increase in daily lead levels for a 4-day moving average was associated with a 7.91 ms (95% CI: 3.63, 12.18) increase in QTc interval. In the two-pollutant models with PM(2.5) mass and lead, each 2.72 ng/m(3) increase in daily lead levels for a 4-day moving average was associated with an 8.50 ms (95% CI: 4.59, 12.41) increase in QTc interval. We found that 4-day moving average of copper has a negative association with QTc interval when compared to the other PM(2.5) metal components. In the multi-pollutant model, each 1.81 ng/m(3) increase in daily copper levels for a 4-day moving average was associated with an -3.89 ms (95% CI: -6.98, -0.79) increase in QTc interval. Copper's essential function inside the human body could mediate its cardiotoxicity on cardiac conductivity and explain why we found that copper in comparison to the other metals was less harmful for QTc interval. CONCLUSIONS: Exposure to metals contained in PM(2.5) are associated with acute changes in ventricular repolarization as indicated by QT interval characteristics. CI - Copyright (c) 2021 Elsevier Inc. All rights reserved. FAU - Peralta, Adjani A AU - Peralta AA AD - Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States. Electronic address: aperalta@hsph.harvard.edu. FAU - Schwartz, Joel AU - Schwartz J AD - Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States. FAU - Gold, Diane R AU - Gold DR AD - Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States. FAU - Coull, Brent AU - Coull B AD - Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States. FAU - Koutrakis, Petros AU - Koutrakis P AD - Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States. LA - eng GR - R835872/EPA/EPA/United States GR - T32 ES007069/ES/NIEHS NIH HHS/United States GR - T32 HL098048/HL/NHLBI NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Research Support, U.S. Gov't, Non-P.H.S. DEP - 20210204 PL - Netherlands TA - Environ Res JT - Environmental research JID - 0147621 RN - 0 (Air Pollutants) RN - 0 (Particulate Matter) RN - 2P299V784P (Lead) SB - IM MH - Aging MH - *Air Pollutants/analysis/toxicity MH - *Air Pollution/analysis MH - Bayes Theorem MH - Environmental Exposure/analysis MH - Humans MH - Lead MH - Massachusetts MH - Particulate Matter/analysis/toxicity PMC - PMC7987821 MID - NIHMS1674360 OTO - NOTNLM OT - Air pollution OT - Fine particulate matter OT - Metals OT - QT interval OT - Ventricular repolarization COIS- Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. EDAT- 2021/02/08 06:00 MHDA- 2021/04/22 06:00 PMCR- 2021/04/01 CRDT- 2021/02/07 20:33 PHST- 2020/09/21 00:00 [received] PHST- 2021/01/15 00:00 [revised] PHST- 2021/01/28 00:00 [accepted] PHST- 2021/02/08 06:00 [pubmed] PHST- 2021/04/22 06:00 [medline] PHST- 2021/02/07 20:33 [entrez] PHST- 2021/04/01 00:00 [pmc-release] AID - S0013-9351(21)00121-3 [pii] AID - 10.1016/j.envres.2021.110827 [doi] PST - ppublish SO - Environ Res. 2021 Apr;195:110827. doi: 10.1016/j.envres.2021.110827. Epub 2021 Feb 4.