PMID- 36043295
OWN - NLM
STAT- MEDLINE
DCOM- 20220922
LR  - 20221021
IS  - 1520-5851 (Electronic)
IS  - 0013-936X (Linking)
VI  - 56
IP  - 18
DP  - 2022 Sep 20
TI  - Associations between Individual Exposure to Fine Particulate Matter Elemental 
      Constituent Mixtures and Blood Lipid Profiles: A Panel Study in Chinese People 
      Aged 60-69 Years.
PG  - 13160-13168
LID - 10.1021/acs.est.2c01568 [doi]
AB  - Dyslipidemia may be a potential mechanism linking fine particulate matter 
      (PM(2.5)) to adverse cardiovascular outcomes. However, inconsistent associations 
      between PM(2.5) and blood lipids have resulted from the existing research, and 
      the joint effect of PM(2.5) elemental constituents on blood lipid profiles 
      remains unclear. We aimed to explore the overall associations between PM(2.5) 
      elemental constituents and blood lipid profiles and to identify the significant 
      PM(2.5) elemental constituents in this association. Sixty-nine elderly people 
      were recruited between September 2018 and January 2019. Each participant 
      completed a survey questionnaire, 3 days of individual exposure monitoring, 
      health examination, and biological sample collection at each follow-up visit. 
      Bayesian kernel machine regression (BKMR) models were used to identify the joint 
      effects of the 17 elemental constituents on blood lipid profiles. Total 
      cholesterol, low-density lipoprotein cholesterol (LDL-C), and non-high-density 
      lipoprotein cholesterol (non-HDL-C) levels were significantly increased in older 
      adults when exposed to the mixture of PM(2.5) elemental constituents. Copper and 
      titanium had higher posterior inclusion probabilities than other constituents, 
      ranging from 0.76 to 0.90 (Cu) and 0.74 to 0.94 (Ti). Copper and titanium in the 
      PM(2.5) elemental constituent mixture played an essential role in changes to 
      blood lipid levels. This study highlights the importance of identifying critical 
      hazardous PM(2.5) constituents that may cause adverse cardiovascular outcomes in 
      the future.
FAU - Wang, Jiaonan
AU  - Wang J
AD  - Center for Global Health, School of Public Health, Nanjing Medical University, 
      Nanjing, Jiangsu 211166, China.
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Li, Tiantian
AU  - Li T
AUID- ORCID: 0000-0003-2938-3917
AD  - Center for Global Health, School of Public Health, Nanjing Medical University, 
      Nanjing, Jiangsu 211166, China.
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Fang, Jianlong
AU  - Fang J
AUID- ORCID: 0000-0003-4716-390X
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Tang, Song
AU  - Tang S
AUID- ORCID: 0000-0003-3219-1422
AD  - Center for Global Health, School of Public Health, Nanjing Medical University, 
      Nanjing, Jiangsu 211166, China.
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Zhang, Yi
AU  - Zhang Y
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, 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 100021, China.
FAU - Shen, Chong
AU  - Shen C
AD  - Center for Global Health, School of Public Health, Nanjing Medical University, 
      Nanjing, Jiangsu 211166, China.
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 100021, China.
FAU - Liu, Yuanyuan
AU  - Liu Y
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Chen, Chen
AU  - Chen C
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Sun, Qinghua
AU  - Sun Q
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Wang, Yanwen
AU  - Wang Y
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Du, Yanjun
AU  - Du Y
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Dong, Haoran
AU  - Dong H
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
FAU - Shi, Xiaoming
AU  - Shi X
AUID- ORCID: 0000-0002-7071-571X
AD  - Center for Global Health, School of Public Health, Nanjing Medical University, 
      Nanjing, Jiangsu 211166, China.
AD  - China CDC Key Laboratory of Environment and Population Health, National Institute 
      of Environmental Health, Chinese Center for Disease Control and Prevention, 
      Beijing 100021, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220831
PL  - United States
TA  - Environ Sci Technol
JT  - Environmental science & technology
JID - 0213155
RN  - 0 (Air Pollutants)
RN  - 0 (Cholesterol, LDL)
RN  - 0 (Lipids)
RN  - 0 (Particulate Matter)
RN  - 789U1901C5 (Copper)
RN  - D1JT611TNE (Titanium)
SB  - IM
MH  - Aged
MH  - *Air Pollutants/analysis
MH  - Bayes Theorem
MH  - China
MH  - Cholesterol, LDL
MH  - Copper
MH  - *Environmental Exposure/analysis
MH  - Humans
MH  - *Lipids/blood
MH  - Middle Aged
MH  - Particulate Matter/analysis
MH  - Titanium
OTO - NOTNLM
OT  - BKMR models
OT  - PM2.5 constituents
OT  - complex mixtures
OT  - lipid parameters
OT  - personal exposure monitoring
EDAT- 2022/09/01 06:00
MHDA- 2022/09/23 06:00
CRDT- 2022/08/31 03:13
PHST- 2022/09/01 06:00 [pubmed]
PHST- 2022/09/23 06:00 [medline]
PHST- 2022/08/31 03:13 [entrez]
AID - 10.1021/acs.est.2c01568 [doi]
PST - ppublish
SO  - Environ Sci Technol. 2022 Sep 20;56(18):13160-13168. doi: 
      10.1021/acs.est.2c01568. Epub 2022 Aug 31.