PMID- 34624398
OWN - NLM
STAT- MEDLINE
DCOM- 20211125
LR  - 20211125
IS  - 1873-6424 (Electronic)
IS  - 0269-7491 (Linking)
VI  - 292
IP  - Pt A
DP  - 2022 Jan 1
TI  - Joint effect of multiple air pollutants on lipid profiles in obese and 
      normal-weight young adults: The key role of ozone.
PG  - 118247
LID - S0269-7491(21)01829-7 [pii]
LID - 10.1016/j.envpol.2021.118247 [doi]
AB  - Dyslipidemia may be a potential mechanism linking air pollution to adverse 
      cardiovascular outcomes and this may differ among obese and normal-weight 
      populations. However, the joint effect of multiple air pollutants on lipid 
      profiles and the role of each pollutant are still unclear. This panel study aims 
      to investigate and compare the overall associations of major air pollutants with 
      lipid parameters in obese and normal-weight adults, and assess the relative 
      importance of each pollutant for lipid parameters. Forty-four obese and 53 
      normal-weight young adults were recruited from December 2017 to June 2018 in 
      Beijing, China. Their fasting blood was collected and serum lipid levels were 
      measured in three visits. Six major air pollutants were included in this study, 
      which were PM(2.5), PM(10), NO(2), SO(2), O(3) and CO. Bayesian kernel machine 
      regression (BKMR) was implemented to estimate the joint effect of the six air 
      pollutants on various lipid parameters. We found that decreased high-density 
      lipoprotein cholesterol (HDL-C) in the obese group and increased low-density 
      lipoprotein cholesterol (LDL-C) and non-HDL-C in the normal-weight group were 
      associated with the exposure to the mixture of six air pollutants above. 
      Significant increases in total cholesterol (TC)/HDL-C and non-HDL-C/HDL-C were 
      observed in both groups, and the effect was stronger in obese group. Of the six 
      air pollutants above, O(3) had the largest posterior inclusion probability in 
      above lipid indices, ranging from 0.75 to 1.00. In the obese group, approximately 
      linear exposure-response relationships were observed over the whole range of 
      logarithmic O(3)-8 h max concentration, while in the normal-weight group, these 
      relationships existed when the logarithmic concentration exceeded about 2.8. 
      Therefore, lipid profiles of obese adults may be more sensitive to air pollution 
      and this study highlights the importance of strengthening emissions control 
      efforts for O(3) in the future.
CI  - Copyright (c) 2021 Elsevier Ltd. All rights reserved.
FAU - Zhang, Wenlou
AU  - Zhang W
AD  - Department of Occupational and Environmental Health Sciences, School of Public 
      Health, Peking University, Beijing, 100191, China.
FAU - Liu, Junxiu
AU  - Liu J
AD  - Department of Otolaryngology Head and Neck Surgery, Peking University Third 
      Hospital, Beijing, 100191, China.
FAU - Hu, Dayu
AU  - Hu D
AD  - Department of Occupational and Environmental Health Sciences, School of Public 
      Health, Peking University, Beijing, 100191, China.
FAU - Li, Luyi
AU  - Li L
AD  - Department of Occupational and Environmental Health Sciences, School of Public 
      Health, Peking University, Beijing, 100191, China.
FAU - Cui, Liyan
AU  - Cui L
AD  - Department of Laboratory Medicine, Peking University Third Hospital, Beijing, 
      100191, China.
FAU - Xu, Junhui
AU  - Xu J
AD  - Department of Occupational and Environmental Health Sciences, School of Public 
      Health, Peking University, Beijing, 100191, China.
FAU - Wang, Wanzhou
AU  - Wang W
AD  - Department of Occupational and Environmental Health Sciences, School of Public 
      Health, Peking University, Beijing, 100191, China.
FAU - Deng, Furong
AU  - Deng F
AD  - Department of Occupational and Environmental Health Sciences, School of Public 
      Health, Peking University, Beijing, 100191, China. Electronic address: 
      lotus321321@126.com.
FAU - Guo, Xinbiao
AU  - Guo X
AD  - Department of Occupational and Environmental Health Sciences, School of Public 
      Health, Peking University, Beijing, 100191, China.
LA  - eng
PT  - Journal Article
DEP - 20211005
PL  - England
TA  - Environ Pollut
JT  - Environmental pollution (Barking, Essex : 1987)
JID - 8804476
RN  - 0 (Air Pollutants)
RN  - 0 (Lipids)
RN  - 0 (Particulate Matter)
RN  - 66H7ZZK23N (Ozone)
SB  - IM
MH  - *Air Pollutants/analysis
MH  - *Air Pollution/analysis
MH  - Bayes Theorem
MH  - China
MH  - Humans
MH  - Lipids
MH  - Obesity
MH  - *Ozone/analysis
MH  - Particulate Matter/analysis
MH  - Young Adult
OTO - NOTNLM
OT  - Air pollution
OT  - BKMR models
OT  - Blood lipid
OT  - Obesity
EDAT- 2021/10/09 06:00
MHDA- 2021/11/26 06:00
CRDT- 2021/10/08 20:14
PHST- 2021/07/03 00:00 [received]
PHST- 2021/09/24 00:00 [revised]
PHST- 2021/09/25 00:00 [accepted]
PHST- 2021/10/09 06:00 [pubmed]
PHST- 2021/11/26 06:00 [medline]
PHST- 2021/10/08 20:14 [entrez]
AID - S0269-7491(21)01829-7 [pii]
AID - 10.1016/j.envpol.2021.118247 [doi]
PST - ppublish
SO  - Environ Pollut. 2022 Jan 1;292(Pt A):118247. doi: 10.1016/j.envpol.2021.118247. 
      Epub 2021 Oct 5.