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Shang L, Huang L, Yang L, Leng L, Qi C, Xie G, Wang R, Guo L, Yang W, Chung MC. Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:3296-3306. [PMID: 32914309 PMCID: PMC7788013 DOI: 10.1007/s11356-020-10705-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 09/01/2020] [Indexed: 06/02/2023]
Abstract
Previous studies have suggested that maternal exposure to air pollution might affect term birth weight. However, the conclusions are controversial. Birth data of all term newborns born in Xi'an city of Shaanxi, China, from 2015 to 2018 and whose mother lived in Xi'an during pregnancy were selected form the Birth Registry Database. And the daily air quality data of Xi'an city was collected from Chinese Air Quality Online Monitoring and Analysis Platform. Generalized additive models (GAM) and 2-level binary logistic regression models were used to estimate the effects of air pollution exposure on term birth weight, the risk term low birth weight (TLBW), and macrosomia. Finally, 321521 term newborns were selected, including 4369(1.36%) TLBW infants and 24,960 (7.76%) macrosomia. The average pollution levels of PM2.5, PM10, and NO2 in Xi'an city from 2015 to 2018 were higher than national limits. During the whole pregnancy, maternal exposure to PM2.5, PM10, SO2, and CO all significantly reduced the term birth weight and increased the risk of TLBW. However, NO2 and O3 exposure have significantly increased the term birth weight, and O3 even increased the risk of macrosomia significantly. Those effects were also observed in the first and second trimesters of pregnancy. But during the third trimester, high level of air quality index (AQI) and maternal exposure to PM2.5, PM10, SO2, NO2, and CO increased the term birth weight and the risk of macrosomia, while O3 exposure was contrary to this effect. The findings suggested that prenatal exposure to air pollution might cause adverse impacts on term birth weight, and the effects varied with trimesters and pollutants, which provides further pieces of evidence for the adverse effects of air pollution exposure in heavy polluted-area on term birth weight.
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Affiliation(s)
- Li Shang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi People’s Republic of China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi People’s Republic of China
| | - Liyan Huang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi People’s Republic of China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi People’s Republic of China
| | - Liren Yang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi People’s Republic of China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi People’s Republic of China
| | - Longtao Leng
- School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan People’s Republic of China
| | - Cuifang Qi
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi People’s Republic of China
| | - Guilan Xie
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi People’s Republic of China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi People’s Republic of China
| | - Ruiqi Wang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi People’s Republic of China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi People’s Republic of China
| | - Leqian Guo
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi People’s Republic of China
| | - Wenfang Yang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi People’s Republic of China
| | - Mei Chun Chung
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts USA
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He T, Zhu J, Wang J, Ren X, Cheng G, Liu X, Ma Q, Zhang Y, Li Z, Ba Y. Ambient air pollution, H19/DMR methylation in cord blood and newborn size: A pilot study in Zhengzhou City, China. CHEMOSPHERE 2018; 212:863-871. [PMID: 30193235 DOI: 10.1016/j.chemosphere.2018.08.140] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/09/2018] [Accepted: 08/28/2018] [Indexed: 06/08/2023]
Abstract
Prenatal exposure to air pollutants is believed to be associated with adverse birth outcomes. However, the potential mechanisms, especially the epigenetic modified effects, still remain unclear. This study was designed to explore the association of air pollution, H19/DMR methylation levels, and birth weight and length. A total of 527 mother-infant pairs were recruited from Houzhai Center Hospital, Zhengzhou. Air pollution data during the study period was collected. The methylation at H19 promoter region and H19 DMR in maternal and cord bloods were determined using real-time PCR analysis. Ridge regression was used to analyze the association of air pollutants exposure during gestation with H19/DMR methylation and birth weight and length respectively. Results showed that prenatal exposure to NO2 was associated with higher H19 methylation in cord blood. Whereas SO2 and PM10 exposure were associated with lower H19 and H19 DMR methylation respectively. After stratification by pregnancy trimesters, the association of H19 methylation in cord blood with PM10 exposure also was found. Furthermore, prenatal exposures to air pollutants also were associated with birth weight and length. Specifically, with the increase of maternal SO2 exposure during the entire pregnancy, birth weight and length significantly decreased. While birth weight and birth length were significantly increased with NO2 exposure. The stratified analysis also found the associations between PM10 exposure and birth sizes in different trimesters. In conclusion, the gene methylation level in cord blood might be associated with prenatal environmental exposures. Birth weight and length were associated with both prenatal environmental exposures and genetic factors.
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Affiliation(s)
- Tongkun He
- Department of Environmental Health, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Jingyuan Zhu
- Department of Environmental Health, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Jia Wang
- Department of Nutrition and Food Health, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Xinmin Ren
- The Puyang People's Hospital, Puyang, Henan 457099, China
| | - Guomei Cheng
- The Third Affiliate Hospital of Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Xiaoxue Liu
- Department of Environmental Health, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Qiang Ma
- Department of Environmental Health, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Yanli Zhang
- Department of Environmental Health, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Zhiyuan Li
- Department of Environmental Health, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Yue Ba
- Department of Environmental Health, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China.
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