PMID- 36375280
OWN - NLM
STAT- MEDLINE
DCOM- 20221215
LR  - 20221220
IS  - 1873-6750 (Electronic)
IS  - 0160-4120 (Linking)
VI  - 170
DP  - 2022 Dec
TI  - Personal airborne chemical exposure and epigenetic ageing biomarkers in healthy 
      Chinese elderly individuals: Evidence from mixture approaches.
PG  - 107614
LID - S0160-4120(22)00541-4 [pii]
LID - 10.1016/j.envint.2022.107614 [doi]
AB  - BACKGROUND: Air pollution is associated with accelerated biological ages 
      determined by DNA methylation (DNAm) patterns, imposing further risks of 
      age-related adverse effects. However, little is known about the independent and 
      joint effects of exposure to gaseous organic chemicals that may share a common 
      source. METHODS: We conducted a panel study with the 3-day exposure assessment 
      monthly among 73 Chinese healthy elderly people aged 60 to 69 years in Jinan, 
      Shandong province during September 2018 to January 2019.Exposure to 26 ambient 
      organic chemical contaminants were measured by wearable passive samplers, 
      including volatile organic compounds, polycyclic aromatic hydrocarbons (PAHs), 
      phthalates (PAEs), nitroaromatics (NIs), polybrominated diphenyl ethers, 
      chlorinated hydrocarbons, and organophosphate esters. The Illumina 
      MethylationEPIC BeadChip was used to measure DNA methylation levels in blood 
      samples, and based on which, epigenetic ageing biomarkers, including Hannum 
      clock, Horvath clock, DNAm PhenoAge, DNAm GrimAge, and DNAm estimator of telomere 
      length (DNAmTL) were calculated. Linear mixed effect models were used to estimate 
      the linear associations between 3-day personal chemical exposure and the 
      epigenetic biomarkers, Weighted quantile sum (WQS) regression and the Bayesian 
      kernel machine regression (BKMR) model were further used to evaluate the effect 
      of chemical mixtures. RESULTS: Multiple linear mixed effects regression models 
      showed that DNAmPhenoAge acceleration was significantly and positively associated 
      with exposure to PAEs, NIs, and PAHs in healthy elderly individuals. Both WQS 
      regression and BKMR models showed a significant positive association with 
      DNAmPhenoAge acceleration with chemical exposures, in which the effect of 
      di-n-butyl phthalate exposure showed the greatest importance. CONCLUSION: These 
      findings suggest that exposure to a mixture of airborne chemicals significantly 
      increase the acceleration of the epigenetic biomarker of phenotypic age. These 
      findings serve to identify toxic chemicals in the air and facilitate the 
      evaluation of their potentially severe health effects.
CI  - Copyright (c) 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.
FAU - Shi, Wanying
AU  - Shi W
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China; Department of Epidemiology and Health Statistics, School of 
      Public Health, Capital Medical University, and Beijing Municipal Key Laboratory 
      of Clinical Epidemiology, Beijing, China.
FAU - Gao, Xu
AU  - Gao X
AD  - Department of Occupational and Environmental Health Sciences, School of Public 
      Health, Peking University, Beijing, China.
FAU - Cao, Yaqiang
AU  - Cao Y
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China; Center for Global Health, School of Public Health, Nanjing 
      Medical University, Nanjing, Jiangsu, China.
FAU - Chen, Yuanyuan
AU  - Chen Y
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China.
FAU - Cui, Qian
AU  - Cui Q
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China; School of Ecology and Environment, Inner Mongolia University, 
      Hohhot, China.
FAU - Deng, Fuchang
AU  - Deng F
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China.
FAU - Yang, Bo
AU  - Yang B
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China; School of Public Health, Baotou Medical College, Inner Mongolia 
      University of Science and Technology, Baotou, China.
FAU - Lin, Elizabeth Z
AU  - Lin EZ
AD  - Department of Environmental Health Sciences, Yale School of Public Health, New 
      Haven, CT, USA.
FAU - Fang, Jianlong
AU  - Fang J
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China.
FAU - Li, Tiantian
AU  - Li T
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China; Center for Global Health, School of Public Health, Nanjing 
      Medical University, Nanjing, Jiangsu, China.
FAU - Tang, Song
AU  - Tang S
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China; Center for Global Health, School of Public Health, Nanjing 
      Medical University, Nanjing, Jiangsu, China.
FAU - Godri Pollitt, Krystal J
AU  - Godri Pollitt KJ
AD  - Department of Environmental Health Sciences, Yale School of Public Health, New 
      Haven, CT, USA. Electronic address: krystal.pollitt@yale.edu.
FAU - Shi, Xiaoming
AU  - Shi X
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing, China; Center for Global Health, School of Public Health, Nanjing 
      Medical University, Nanjing, Jiangsu, China. Electronic address: 
      shixm@chinacdc.cn.
LA  - eng
PT  - Journal Article
DEP - 20221103
PL  - Netherlands
TA  - Environ Int
JT  - Environment international
JID - 7807270
RN  - 0 (Biomarkers)
RN  - 0 (Polycyclic Aromatic Hydrocarbons)
RN  - 6O7F7IX66E (phthalic acid)
SB  - IM
MH  - Aged
MH  - Humans
MH  - Bayes Theorem
MH  - East Asian People
MH  - *Air Pollution/adverse effects
MH  - Aging
MH  - Epigenomics
MH  - Biomarkers
MH  - *Polycyclic Aromatic Hydrocarbons/toxicity
OTO - NOTNLM
OT  - Ageing biomarker
OT  - Airborne chemical mixture
OT  - Bayesian kernel machine regression (BKMR)
OT  - Weighted quantile sum (WQS) regression
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- 2022/11/15 06:00
MHDA- 2022/12/15 06:00
CRDT- 2022/11/14 18:19
PHST- 2022/06/14 00:00 [received]
PHST- 2022/10/24 00:00 [revised]
PHST- 2022/11/02 00:00 [accepted]
PHST- 2022/11/15 06:00 [pubmed]
PHST- 2022/12/15 06:00 [medline]
PHST- 2022/11/14 18:19 [entrez]
AID - S0160-4120(22)00541-4 [pii]
AID - 10.1016/j.envint.2022.107614 [doi]
PST - ppublish
SO  - Environ Int. 2022 Dec;170:107614. doi: 10.1016/j.envint.2022.107614. Epub 2022 
      Nov 3.