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Johnson M, Mazur L, Fisher M, Fraser WD, Sun L, Hystad P, Gandhi CK. Prenatal Exposure to Air Pollution and Respiratory Distress in Term Newborns: Results from the MIREC Prospective Pregnancy Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:17007. [PMID: 38271058 PMCID: PMC10810300 DOI: 10.1289/ehp12880] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 11/03/2023] [Accepted: 12/11/2023] [Indexed: 01/27/2024]
Abstract
BACKGROUND Respiratory distress is the leading cause of neonatal morbidity and mortality worldwide, and prenatal exposure to air pollution is associated with adverse long-term respiratory outcomes; however, the impact of prenatal air pollution exposure on neonatal respiratory distress has not been well studied. OBJECTIVES We examined associations between prenatal exposures to fine particular matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) with respiratory distress and related neonatal outcomes. METHODS We used data from the Maternal-Infant Research on Environmental Chemicals (MIREC) Study, a prospective pregnancy cohort (n = 2,001 ) recruited in the first trimester from 10 Canadian cities. Prenatal exposures to PM 2.5 (n = 1,321 ) and NO 2 (n = 1,064 ) were estimated using land-use regression and satellite-derived models coupled with ground-level monitoring and linked to participants based on residential location at birth. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for associations between air pollution and physician-diagnosed respiratory distress in term neonates in hierarchical logistic regression models adjusting for detailed maternal and infant covariates. RESULTS Approximately 7 % of newborns experienced respiratory distress. Neonates received clinical interventions including oxygen therapy (6%), assisted ventilation (2%), and systemic antibiotics (3%). Two percent received multiple interventions and 4% were admitted to the neonatal intensive care unit (NICU). Median PM 2.5 and NO 2 concentrations during pregnancy were 8.81 μ g / m 3 and 18.02 ppb , respectively. Prenatal exposures to air pollution were not associated with physician-diagnosed respiratory distress, oxygen therapy, or NICU admissions. However, PM 2.5 exposures were strongly associated with assisted ventilation (OR per 1 - μ g / m 3 increase in PM 2.5 = 1.17 ; 95% CI: 1.02, 1.35), multiple clinical interventions (OR per 1 - μ g / m 3 increase in PM 2.5 = 1.16 ; 95% CI: 1.07, 1.26), and systemic antibiotics, (OR per 1 - μ g / m 3 increase in PM 2.5 = 1.12 ; 95% CI: 1.04, 1.21). These associations were consistent across exposure periods-that is, during prepregnancy, individual trimesters, and total pregnancy-and robust to model specification. NO 2 exposure was associated with administration of systemic antibiotics (OR per 1-ppb increase in NO 2 = 1.03 ; 95% CI: 1.00, 1.06). DISCUSSION Prenatal exposures to PM 2.5 increased the risk of severe respiratory distress among term newborns. These findings support the development and prioritization of public health and prenatal care strategies to increase awareness and minimize prenatal exposures to air pollution. https://doi.org/10.1289/EHP12880.
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Affiliation(s)
- Markey Johnson
- Water and Air Quality Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Lauren Mazur
- Department of Pediatrics, Penn State College of Medicine, Pennsylvania State University, Hershey, Pennsylvania, USA
| | - Mandy Fisher
- Environmental Health Sciences and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - William D. Fraser
- Department of Obstetrics and Gynecology, Centre de Recherche du CHUS, University of Sherbrooke, Sherbrooke, Québec, Canada
| | - Liu Sun
- Water and Air Quality Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Perry Hystad
- School of Biological and Population Health Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Chintan K. Gandhi
- Department of Pediatrics, Penn State College of Medicine, Pennsylvania State University, Hershey, Pennsylvania, USA
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Wu S, Zhang Y, Hao G, Chen X, Wu X, Ren H, Zhang Y, Fan Y, Du C, Bi X, Bai L, Tan J. Interaction of air pollution and meteorological factors on IVF outcomes: A multicenter study in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 259:115015. [PMID: 37201423 DOI: 10.1016/j.ecoenv.2023.115015] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 05/10/2023] [Accepted: 05/12/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Previous studies revealed associations between air-pollutant exposure and in vitro fertilization (IVF) outcomes. However, modification effects of air pollution on IVF outcomes by meteorological conditions remain elusive. METHODS This multicenter retrospective cohort study included 15,217 women from five northern Chinese cities during 2015-2020. Daily average concentrations of air pollutants (PM2.5, PM10, O3, NO2, SO2, and CO) and meteorological factors (temperature, relative humidity, wind speed, and sunshine duration) during different exposure windows were calculated as individual approximate exposure. Generalized estimating equations models and stratified analyses were conducted to assess the associations of air pollution and meteorological conditions with IVF outcomes and estimate potential interactions. RESULTS Positive associations of wind speed and sunshine duration with pregnancy outcomes were detected. In addition, we observed that embryo transfer in spring and summer had a higher likelihood to achieve a live birth compared with winter. Exposure to PM2.5, SO2, and O3 was adversely correlated with pregnancy outcomes in fresh IVF cycles, and the associations were modified by air temperature, relative humidity, and wind speed. The inverse associations of PM2.5 and SO2 exposure with biochemical pregnancy were stronger at lower temperatures and humidity. Negative associations of PM2.5 with clinical pregnancy were only significant at lower temperatures and wind speeds. Moreover, the effects of O3 on live birth were enhanced by higher wind speed. CONCLUSIONS Our results suggested that the associations between air-pollutant exposure and IVF outcomes were modified by meteorological conditions, especially temperature and wind speed. Women undergoing IVF treatment should be advised to reduce outdoor time when the air quality was poor, particularly at lower temperatures.
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Affiliation(s)
- Shanshan Wu
- Centre of Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, Liaoning 110022, PR China; Key Laboratory of Reproductive Dysfunction Disease and Fertility Remodeling of Liaoning Province, Shenyang, Liaoning 110022, PR China
| | - Yunshan Zhang
- Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin 300100, PR China
| | - Guimin Hao
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, PR China
| | - Xiujuan Chen
- Reproductive Medicine Centre, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia 010050, PR China
| | - Xueqing Wu
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi 030013, PR China
| | - Haiqin Ren
- Jinghua Hospital, Shenyang, Liaoning 110022, PR China
| | - Yinfeng Zhang
- Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin 300100, PR China
| | - Yanli Fan
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, PR China
| | - Chen Du
- Reproductive Medicine Centre, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia 010050, PR China
| | - Xingyu Bi
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi 030013, PR China
| | - Lina Bai
- Jinghua Hospital, Shenyang, Liaoning 110022, PR China
| | - Jichun Tan
- Centre of Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, Liaoning 110022, PR China; Key Laboratory of Reproductive Dysfunction Disease and Fertility Remodeling of Liaoning Province, Shenyang, Liaoning 110022, PR China.
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Huang HJ, Yu QY, Zheng T, Wang SS, Yang XJ. Associations between seasonal ambient air pollution and adverse perinatal outcomes: a retrospective cohort study in Wenzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:59903-59914. [PMID: 35397724 DOI: 10.1007/s11356-022-20084-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 03/31/2022] [Indexed: 06/14/2023]
Abstract
Prenatal exposure to ambient air pollution has been associated with adverse perinatal outcomes in previous studies. However, few studies have examined the interaction between air pollution and the season of conception on term low birth weight (TLBW) or macrosomia. Birth registry data of singleton live births in Wenzhou, China, between January 2015 and December 2016 were accessed from the Wenzhou Maternal and Child Health Information Management platform, and data on the ambient air pollutants in Wenzhou were obtained from the Chinese Air Quality Online Monitoring and Analysis Platform. Single-/two-pollutant binary logistic regression models were used to assess the associations between ambient air pollutants (PM2.5, PM10, NO2, SO2, and O3) and TLBW/macrosomia, further exploring whether the season of conception interacts with air pollution to impact birth weight. Finally, 213,959 term newborns were selected, including 2452 (1.1%) infants with TLBW and 13,173 (6.1%) infants with macrosomia. In the single-/two-pollutant models, we observed an increased risk of TLBW associated with maternal exposure to PM2.5, PM10, SO2, and NO2 during the entire pregnancy, especially in the 2nd trimester. Maternal exposure to O3 during the 1st trimester was associated with increased macrosomia risk, and O3 exposure during the 3rd trimester was associated with increased TLBW risk. Pregnant women who conceive in the warm season may experience a more adverse ambient air environment that is related to the risks of TLBW. These findings add to the evidence suggesting that air pollution and the season of conception may have synergistic effects on adverse perinatal outcomes, especially TLBW. Further prospective cohort studies are needed to validate our results.
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Affiliation(s)
- Hui-Jun Huang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Qiu-Yan Yu
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Tian Zheng
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Shan-Shan Wang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xin-Jun Yang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
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Shang L, Yang L, Yang W, Xie G, Wang R, Sun L, Xu M, Zhang B, Li J, Yue J, Chung MC. Prenatal exposure to air pollution and the risk of macrosomia: Identifying windows of susceptibility. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 818:151775. [PMID: 34808172 DOI: 10.1016/j.scitotenv.2021.151775] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 11/14/2021] [Accepted: 11/14/2021] [Indexed: 06/13/2023]
Abstract
This study explores the effects of prenatal exposure to air pollution on the risk of macrosomia and its window of susceptibility. We conducted a retrospective cohort study utilizing records of birth certificates for all full-term live newborns born in Xi'an city, China from January 1, 2015, to December 31, 2018.Weekly- and trimester-specific exposures of PM2.5, PM10, NO2, and O3 during pregnancy were calculated by inverse distance weighting (IDW) based on their residences. Cox proportional hazard model and distributed lag models (DLMs) were performed to estimate the effects of air pollution exposure during pregnancy on macrosomia risk and its window of susceptibility. In total, 318,323 full-term newborns were identified, including 24,996 (7.8%) cases of macrosomia. An IQR increase in PM2.5 exposure (45.46 μg/m3) from the 33rd until the 37th weeks of gestation was positively associated with an elevated risk of macrosomia, with the strongest effect in the 37th weeks (HR = 1.007, 95%CI: 1.002-1.013). The window of susceptibility for NO2 exposure on macrosomia risk was in the 29th-35th gestational weeks, with the strongest effect in the 34th weeks (IQR = 21.96 μg/m3, HR = 1.006, 95%CI:1.000-1.013). For prenatal exposure to O3, 5th-24th weeks of gestation was identified as susceptible windows for elevated risk of macrosomia, with the strongest associations observed in the 15th weeks (IQR = 80.53 μg/m3, HR = 1.022, 95%CI: 1.011-1.033). However, we did not observe any associations between weekly exposure of PM10 and macrosomia. Our findings imply that the windows of susceptibility to PM2.5 and NO2 exposure on macrosomia are mainly in late pregnancy, whereas the windows of susceptibility to O3 exposure are in early and middle pregnancy.
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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 710061, PR China; Shenzhen Health Development Research and Data Management Center, Shenzhen, Guangdong 518028, PR China
| | - Liren Yang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Wenfang Yang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China.
| | - Guilan Xie
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Ruiqi Wang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Landi Sun
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Mengmeng Xu
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Boxing Zhang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Jing Li
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China
| | - Jie Yue
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China
| | - Mei Chun Chung
- Division of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, MA, Boston, United States
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Liang Z, Xu C, Liang S, Cai TJ, Yang N, Li SD, Wang WT, Li YF, Wang D, Ji AL, Zhou LX, Liang ZQ. Short-term ambient nitrogen dioxide exposure is associated with increased risk of spontaneous abortion: A hospital-based study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 224:112633. [PMID: 34411816 DOI: 10.1016/j.ecoenv.2021.112633] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 08/06/2021] [Accepted: 08/11/2021] [Indexed: 06/13/2023]
Abstract
There are increasing concerns with regard to spontaneous abortion (SAB), the loss of pregnancy without external intervention before 20 weeks of gestation, among reproductive-aged women. To date, limited evidence is available concerning the association between SAB and air pollutants, especially in developing countries. Daily baseline outpatient data for SAB from January 1, 2014, to December 31, 2018 (1826 days) were obtained in Chongqing, a metropolis of southwest China. The over-dispersed Poisson generalized additive model with control of meteorological conditions and day of week was used to estimate the short-term effects of ambient air pollution on the daily number of SAB outpatients. A total of 42,334 SAB outpatient visits for SAB were recorded. No statistically significant association was observed between SAB and CO, PM2.5, PM10, O3, and SO2. The positive association only appeared for NO2: positive associations between SAB and NO2 were observed in both single-day models (lag 0, lag 1, lag 3, and lag 4) and cumulative exposure models (lag 01, lag 03, and lag 05) and the most significant effects were observed at lag 05 (3.289%; 95% CI: 1.568%, 5.011%). Moreover, the women with higher ages (30-39 and > 39) were more sensitive than those with lower ages (18-29), and the effect estimates were more evident in cool seasons. Collectively, our results suggested that short-term NO2 exposure was associated with higher risk of SAB, especially in elder women and cool seasons, which may contribute to further understand the role of air pollution on SAB and other adverse obstetric outcomes.
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Affiliation(s)
- Zhen Liang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chen Xu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China; Department of Hepatobiliary Surgery, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China
| | - Shi Liang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China; Department of Chemistry, Brigham Young University-Idaho, Rexburg, ID, USA
| | - Tong-Jian Cai
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.
| | - Neng Yang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Si-Di Li
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wen-Ting Wang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ya-Fei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Dan Wang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ai-Ling Ji
- Department of Preventive Medicine, Chongqing Medical and Pharmaceutical College, Chongqing, China
| | - Lai-Xin Zhou
- Medical Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhi-Qing Liang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
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The Association between Preterm Birth and Ambient Air Pollution Exposure in Shiyan, China, 2015-2017. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18084326. [PMID: 33921784 PMCID: PMC8072601 DOI: 10.3390/ijerph18084326] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 11/17/2022]
Abstract
Shortening of the gestational duration has been found associated with ambient air pollution exposure. However, the critical exposure windows of ambient air pollution for gestational duration remain inconsistent, and the association between ambient air pollution and early term births (ETB, 37 to 38 weeks) has rarely been studied relative to preterm births (PTB, 28–37 weeks). A time-series study was conducted in Shiyan, a medium-sized city in China. Birth information was collected from the Shiyan Maternity and Child Health Hospital, and 13,111 pregnant women who gave birth between 2015 and 2017 were included. Data of the concentrations of air pollutants, including PM10, PM2.5, NO2, and SO2 and meteorological data, were collected in the corresponding gestational period. The Cox regression analysis was performed to estimate the relationship between ambient air pollution exposure and the risk of preterm birth after controlling the confounders, including maternal age, education, Gravidity, parity, fetal gender, and delivery mode. Very preterm birth (VPTB, 28–32 weeks) as a subtype of PTB was also incorporated in this study. The risk of VPTB and ETB was positively associated with maternal ambient air pollution exposure, and the correlation of gaseous pollutants was stronger than particulate matter. With respect to exposure windows, the critical trimester of air pollutants for different adverse pregnancy outcomes was different. The exposure windows of PM10, PM2.5, and SO2 for ETB were found in the third trimester, with HRs (hazard ratios) of 1.06 (95%CI: 1.04, 1.09), 1.07 (95%CI: 1.04, 1.11), and 1.28 (95%CI: 1.20, 1.35), respectively. However, for NO2, the second and third trimesters exhibited similar results, the HRs reaching 1.10 (95%CI: 1.03, 6.17) and 1.09 (95%CI: 1.03,1.15), respectively. This study extends and strengthen the evidence for a significant correlation between the ambient air pollution exposure during pregnancy and the risk of not only PTB but, also, ETB. Moreover, our findings suggest that the exposure windows during pregnancy vary with different air pollutants and pregnancy outcomes.
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Zhao N, Wu W, Feng Y, Yang F, Han T, Guo M, Ren Q, Li W, Li J, Wang S, Zhang Y. Polymorphisms in oxidative stress, metabolic detoxification, and immune function genes, maternal exposure to ambient air pollution, and risk of preterm birth in Taiyuan, China. ENVIRONMENTAL RESEARCH 2021; 194:110659. [PMID: 33359674 DOI: 10.1016/j.envres.2020.110659] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 12/06/2020] [Accepted: 12/20/2020] [Indexed: 05/27/2023]
Abstract
Exposure to air pollutants may be associated with preterm birth (PB) through oxidative stress, metabolic detoxification, and immune system processes. However, no study has investigated the interactive effects of maternal air pollution and genetic polymorphisms in these pathways on risk of PB. The study included 126 PB and 310 term births. A total of 177 single nucleotide polymorphisms (SNPs) in oxidative stress, immune function, and metabolic detoxification-related genes were examined and analyzed. The China air quality index (AQI) was used as an overall estimation of ambient air pollutants. Among 177 SNPs, four SNPs (GPX4-rs376102, GLRX-rs889224, VEGFA-rs3025039, and IL1A-rs3783550) were found to have significant interactions with AQI on the risk of PB (Pinteraction were 0.001, 0.003, 0.03, and 0.04, respectively). After being stratified by the maternal genotypes in these four SNPs, 1.38 to 1.76 times of the risk of PB were observed as per interquartile range increase in maternal AQI among women who carried the GPX4-rs376102 AC/CC genotypes, the GLRX-rs889224 TT genotype, the VEGFA-rs3025039 CC genotype, or the IL1A-rs3783550 GT/TT genotypes. After adjustment for multiple comparisons, only GPX4-rs376102 and AQI interaction remained statistically significant (false discovery rate (FDR)=0.17). After additional stratification by preeclampsia (PE) status, a strongest association was observed in women who carried the GPX4-rs376102 AC/CC genotypes (OR, 2.26; 95% CI, 1.41-3.65, Pinteraction=0.0002, FDR=0.035) in the PE group. Our study provided the first evidence that association between maternal air pollution and PB risk may be modified by the genetic polymorphisms in oxidative stress and immune function genes. Future large studies are necessary to replicate and confirm the observed associations.
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Affiliation(s)
- Nan Zhao
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Weiwei Wu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yongliang Feng
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Feifei Yang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Tianbi Han
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Mengzhu Guo
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Qingwen Ren
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wangjun Li
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jinbo Li
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Suping Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Section of Surgical Outcomes and Epidemiology, Department of Surgery, Yale School of Medicine, New Haven, CT, USA.
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Balram D, Lian KY, Sebastian N. A novel soft sensor based warning system for hazardous ground-level ozone using advanced damped least squares neural network. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 205:111168. [PMID: 32846299 DOI: 10.1016/j.ecoenv.2020.111168] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 08/07/2020] [Accepted: 08/08/2020] [Indexed: 06/11/2023]
Abstract
Estimation of hazardous air pollutants in the urban environment for maintaining public safety is a significant concern to mankind. In this paper, we have developed an efficient air quality warning system based on a low-cost and robust ground-level ozone soft sensor. The soft sensor was developed based on a novel technique of damped least squares neural network (DLSNN) with greedy backward elimination (GBE) for the estimation of hazardous ground-level ozone. Only three meteorological factors were used as input variables in the estimation of ground-level ozone and we have used weighted k-nearest neighbors (WkNN) classifier with fast response for development of air quality warning system. We have chosen the urban areas of Taiwan for this study and have analyzed seasonal variations in the ground-level ozone concentration of various cities in Taiwan as part of this work. Moreover, descriptive statistics and linear dependence of ozone concentration based on Spearman correlation coefficient, Kendall's tau coefficient, and Pearson coefficient are calculated. The proposed DLSNN/GBE method exhibited excellent performance resulting in very low mean square error (MSE), mean absolute error (MAE), and high coefficient of determination (R2) compared to other traditional approaches in ozone concentration estimation. We have achieved a good fit in the determination of ozone concentration from meteorological features of atmosphere. Moreover, the excellent performance of proposed urban air quality warning system was evident from the good F1-score value of 0.952 achieved by the WkNN classifier.
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Affiliation(s)
- Deepak Balram
- Department of Electrical Engineering, National Taipei University of Technology, No. 1, Section 3, Zhongxiao East Road, Taipei, 106, Taiwan, ROC
| | - Kuang-Yow Lian
- Department of Electrical Engineering, National Taipei University of Technology, No. 1, Section 3, Zhongxiao East Road, Taipei, 106, Taiwan, ROC.
| | - Neethu Sebastian
- Institute of Organic and Polymeric Materials, National Taipei University of Technology, No. 1, Section 3, Zhongxiao East Road, Taipei, 106, Taiwan, ROC
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