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Tian F, Zhong X, Ye Y, Liu X, He G, Wu C, Chen Z, Zhu Q, Yu S, Fan J, Yao H, Ma W, Dong X, Liu T. Mutual Associations of Exposure to Ambient Air Pollutants in the First 1000 Days of Life With Asthma/Wheezing in Children: Prospective Cohort Study in Guangzhou, China. JMIR Public Health Surveill 2024; 10:e52456. [PMID: 38631029 PMCID: PMC11063886 DOI: 10.2196/52456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/21/2023] [Accepted: 03/05/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND The first 1000 days of life, encompassing pregnancy and the first 2 years after birth, represent a critical period for human health development. Despite this significance, there has been limited research into the associations between mixed exposure to air pollutants during this period and the development of asthma/wheezing in children. Furthermore, the finer sensitivity window of exposure during this crucial developmental phase remains unclear. OBJECTIVE This study aims to assess the relationships between prenatal and postnatal exposures to various ambient air pollutants (particulate matter 2.5 [PM2.5], carbon monoxide [CO], sulfur dioxide [SO2], nitrogen dioxide [NO2], and ozone [O3]) and the incidence of childhood asthma/wheezing. In addition, we aimed to pinpoint the potential sensitivity window during which air pollution exerts its effects. METHODS We conducted a prospective birth cohort study wherein pregnant women were recruited during early pregnancy and followed up along with their children. Information regarding maternal and child characteristics was collected through questionnaires during each round of investigation. Diagnosis of asthma/wheezing was obtained from children's medical records. In addition, maternal and child exposures to air pollutants (PM2.5 CO, SO2, NO2, and O3) were evaluated using a spatiotemporal land use regression model. To estimate the mutual associations of exposure to mixed air pollutants with the risk of asthma/wheezing in children, we used the quantile g-computation model. RESULTS In our study cohort of 3725 children, 392 (10.52%) were diagnosed with asthma/wheezing. After the follow-up period, the mean age of the children was 3.2 (SD 0.8) years, and a total of 14,982 person-years were successfully followed up for all study participants. We found that each quartile increase in exposure to mixed air pollutants (PM2.5, CO, SO2, NO2, and O3) during the second trimester of pregnancy was associated with an adjusted hazard ratio (HR) of 1.24 (95% CI 1.04-1.47). Notably, CO made the largest positive contribution (64.28%) to the mutual effect. After categorizing the exposure according to the embryonic respiratory development stages, we observed that each additional quartile of mixed exposure to air pollutants during the pseudoglandular and canalicular stages was associated with HRs of 1.24 (95% CI 1.03-1.51) and 1.23 (95% CI 1.01-1.51), respectively. Moreover, for the first year and first 2 years after birth, each quartile increment of exposure to mixed air pollutants was associated with HRs of 1.65 (95% CI 1.30-2.10) and 2.53 (95% CI 2.16-2.97), respectively. Notably, SO2 made the largest positive contribution in both phases, accounting for 50.30% and 74.70% of the association, respectively. CONCLUSIONS Exposure to elevated levels of mixed air pollutants during the first 1000 days of life appears to elevate the risk of childhood asthma/wheezing. Specifically, the second trimester, especially during the pseudoglandular and canalicular stages, and the initial 2 years after birth emerge as crucial susceptibility windows. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR-ROC-17013496; https://tinyurl.com/2ctufw8n.
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Affiliation(s)
- Fenglin Tian
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Xinqi Zhong
- Department of Neonatology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yufeng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Xiaohan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Cuiling Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Qijiong Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Siwen Yu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Jingjie Fan
- Department of Prevention and Health Care, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Huan Yao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
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Fussell JC, Jauniaux E, Smith RB, Burton GJ. Ambient air pollution and adverse birth outcomes: A review of underlying mechanisms. BJOG 2024; 131:538-550. [PMID: 38037459 PMCID: PMC7615717 DOI: 10.1111/1471-0528.17727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/14/2023] [Accepted: 11/15/2023] [Indexed: 12/02/2023]
Abstract
Epidemiological data provide varying degrees of evidence for associations between prenatal exposure to ambient air pollutants and adverse birth outcomes (suboptimal measures of fetal growth, preterm birth and stillbirth). To assess further certainty of effects, this review examines the experimental literature base to identify mechanisms by which air pollution (particulate matter, nitrogen dioxide and ozone) could cause adverse effects on the developing fetus. It likely that this environmental insult impacts multiple biological pathways important for sustaining a healthy pregnancy, depending upon the composition of the pollutant mixture and the exposure window owing to changes in physiologic maturity of the placenta, its circulations and the fetus as pregnancy ensues. The current body of evidence indicates that the placenta is a target tissue, impacted by a variety of critical processes including nitrosative/oxidative stress, inflammation, endocrine disruption, epigenetic changes, as well as vascular dysregulation of the maternal-fetal unit. All of the above can disturb placental function and, as a consequence, could contribute to compromised fetal growth as well increasing the risk of stillbirth. Furthermore, given that there is often an increased inflammatory response associated with preterm labour, inflammation is a plausible mechanism mediating the effects of air pollution on premature delivery. In the light of increased urbanisation and an ever-changing climate, both of which increase ambient air pollution and negatively affect vulnerable populations such as pregnant individuals, it is hoped that the collective evidence may contribute to decisions taken to strengthen air quality policies, reductions in exposure to air pollution and subsequent improvements in the health of those not yet born.
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Affiliation(s)
- Julia C. Fussell
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- National Institute for Health and Care Research Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, United Kingdom
| | - Eric Jauniaux
- EGA Institute for Women's Health, Faculty of Population Health Sciences, University College London, London, UK
| | - Rachel B. Smith
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- National Institute for Health and Care Research Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, United Kingdom
- Mohn Centre for Children’s Health and Wellbeing, School of Public Health, Imperial College London, London, UK
| | - Graham J. Burton
- Department of Physiology, Development and Neuroscience, University of Cambridge
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Lee S, Sbihi H, MacIsaac JL, Balshaw R, Ambalavanan A, Subbarao P, Mandhane PJ, Moraes TJ, Turvey SE, Duan Q, Brauer M, Brook JR, Kobor MS, Jones MJ. Persistent DNA Methylation Changes across the First Year of Life and Prenatal NO2 Exposure in a Canadian Prospective Birth Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:47004. [PMID: 38573328 DOI: 10.1289/ehp13034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
BACKGROUND Evidence suggests that prenatal air pollution exposure alters DNA methylation (DNAm), which could go on to affect long-term health. It remains unclear whether DNAm alterations present at birth persist through early life. Identifying persistent DNAm changes would provide greater insight into the molecular mechanisms contributing to the association of prenatal air pollution exposure with atopic diseases. OBJECTIVES This study investigated DNAm differences associated with prenatal nitrogen dioxide (NO 2 ) exposure (a surrogate measure of traffic-related air pollution) at birth and 1 y of age and examined their role in atopic disease. We focused on regions showing persistent DNAm differences from birth to 1 y of age and regions uniquely associated with postnatal NO 2 exposure. METHODS Microarrays measured DNAm at birth and at 1 y of age for an atopy-enriched subset of Canadian Health Infant Longitudinal Development (CHILD) study participants. Individual and regional DNAm differences associated with prenatal NO 2 (n = 128 ) were identified, and their persistence at age 1 y were investigated using linear mixed effects models (n = 124 ). Postnatal-specific DNAm differences (n = 125 ) were isolated, and their association with NO 2 in the first year of life was examined. Causal mediation investigated whether DNAm differences mediated associations between NO 2 and age 1 y atopy or wheeze. Analyses were repeated using biological sex-stratified data. RESULTS At birth (n = 128 ), 18 regions of DNAm were associated with NO 2 , with several annotated to HOX genes. Some of these regions were specifically identified in males (n = 73 ), but not females (n = 55 ). The effect of prenatal NO 2 across CpGs within altered regions persisted at 1 y of age. No significant mediation effects were identified. Sex-stratified analyses identified postnatal-specific DNAm alterations. DISCUSSION Regional cord blood DNAm differences associated with prenatal NO 2 persisted through at least the first year of life in CHILD participants. Some differences may represent sex-specific alterations, but replication in larger cohorts is needed. The early postnatal period remained a sensitive window to DNAm perturbations. https://doi.org/10.1289/EHP13034.
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Affiliation(s)
- Samantha Lee
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada
- Biology of Breathing Theme, Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Hind Sbihi
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Julia L MacIsaac
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Robert Balshaw
- Centre for Healthcare Innovation, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Padmaja Subbarao
- Department of Pediatrics & Translational Medicine, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Piushkumar J Mandhane
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
- Faculty of Medicine, USCI University, Kuala Lumpur, Malaysia
| | - Theo J Moraes
- Department of Pediatrics & Translational Medicine, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Stuart E Turvey
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Qingling Duan
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada
- School of Computing, Queen's University, Kingston, Ontario, Canada
| | - Michael Brauer
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jeffrey R Brook
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Michael S Kobor
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Meaghan J Jones
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada
- Biology of Breathing Theme, Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
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Wu C, He G, Wu W, Meng R, Zhou C, Bai G, Yu M, Gong W, Huang B, Xiao Y, Hu J, Xiao J, Zeng F, Yang P, Liu D, Zhu Q, Chen Z, Yu S, Huang C, Du Y, Liang X, Liu T, Ma W. Ambient PM 2.5 and cardiopulmonary mortality in the oldest-old people in China: A national time-stratified case-crossover study. MED 2024; 5:62-72.e3. [PMID: 38218176 DOI: 10.1016/j.medj.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/03/2023] [Accepted: 12/07/2023] [Indexed: 01/15/2024]
Abstract
BACKGROUND Evidence on the associations of fine particulate matter (PM2.5) with cardiopulmonary mortality in the oldest-old (aged 80+ years) people remains limited. METHODS We conducted a time-stratified case-crossover study of 1,475,459 deaths from cardiopulmonary diseases in China to estimate the associations between short-term exposure to ambient PM2.5 and cardiopulmonary mortality among the oldest-old people. FINDINGS Each 10 μg/m3 increase in PM2.5 concentration (6-day moving average [lag05]) was associated with higher mortality from cardiopulmonary diseases (excess risks [ERs] = 1.69%, 95% confidence interval [CI]: 1.54%, 1.84%), cardiovascular diseases (ER = 1.72%, 95% CI: 1.54%, 1.90%), and respiratory diseases (ER = 1.62%, 95% CI: 1.33%, 1.91%). Compared to the other groups, females (ER = 1.94%, 95% CI: 1.73%, 2.15%) (p for difference test = 0.043) and those aged 95-99 years (ER = 2.31%, 95% CI: 1.61%, 3.02%) (aged 80-85 years old was the reference, p for difference test = 0.770) presented greater mortality risks. We found 14 specific cardiopulmonary causes associated with PM2.5, out of which emphysema (ER = 3.20%, 95% CI: 1.57%, 4.86%) had the largest association. Out of the total deaths, 6.27% (attributable fraction [AF], 95% CI: 5.72%, 6.82%) were ascribed to short-term PM2.5 exposure. CONCLUSIONS This study provides evidence of PM2.5-induced cardiopulmonary mortality and calls for targeted prevention actions for the oldest-old people. FUNDING This work was supported by the National Key Research and Development Program of China, the National Natural Science Foundation of China, the Foreign Expert Program of the Ministry of Science and Technology, the Natural Science Foundation of Guangdong, China, and the Science and Technology Program of Guangzhou.
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Affiliation(s)
- Cuiling Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Wei Wu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Ruilin Meng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Chunliang Zhou
- Department of Environment and Health, Hunan Provincial Center for Disease Control and Prevention, Changsha 450001, China
| | - Guoxia Bai
- Institute of Non-communicable Diseases Prevention and Control, Tibet Center for Disease Control and Prevention, Lhasa 850000, China
| | - Min Yu
- Zhejiang Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Weiwei Gong
- Zhejiang Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Biao Huang
- Health Hazard Factors Control Department, Jilin Provincial Center for Disease Control and Prevention, Changchun 130062, China
| | - Yize Xiao
- Yunnan Center for Disease Control and Prevention, Kunming 650022, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Dan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Qijiong Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Siwen Yu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Yaodong Du
- Guangdong Provincial Climate Center, Guangzhou 510080, China
| | - Xiaofeng Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China.
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
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Friedman C, Dabelea D, Glueck DH, Allshouse WB, Adgate JL, Keller KP, Martenies SE, Magzamen S, Starling AP. Early-life exposure to residential black carbon and childhood cardiometabolic health. ENVIRONMENTAL RESEARCH 2023; 239:117285. [PMID: 37832765 PMCID: PMC10842121 DOI: 10.1016/j.envres.2023.117285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 09/08/2023] [Accepted: 09/30/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND Early life exposure to air pollution, such as particulate matter ≤2.5 μm (PM2.5), may be associated with obesity and adverse cardiometabolic health outcomes in childhood. However, the toxicity of PM2.5 varies according to its chemical composition. Black carbon (BC) is a constituent of PM2.5, but few studies have examined its impact on childhood cardiometabolic health. Therefore, we examined relationships between prenatal and early childhood exposure to BC and markers of adiposity and cardiometabolic health in early childhood. METHODS This study included 578 mother-child pairs enrolled in the Healthy Start study (2009-2014) living in the Denver-metro area. Using a spatiotemporal prediction model, we assessed average residential black carbon levels during pregnancy and in the year prior to the early childhood follow-up visit at approximately 5 years old. We estimated associations between prenatal and early childhood BC and indicators of adiposity and cardiometabolic biomarkers in early childhood (mean 4.8 years; range, 4.0, 8.3), using linear regression. RESULTS We found higher early childhood BC was associated with higher percent fat mass, fat mass index, insulin, and homeostatic model assessment for insulin resistance (HOMA-IR), and lower leptin and waist circumference at approximately 5 years old, after adjusting for covariates. For example, per interquartile range (IQR) increase in early childhood BC (IQR, 0.49 μg/m3) there was 3.32% higher fat mass (95% CI; 2.05, 4.49). Generally, we did not find consistent evidence of associations between prenatal BC and cardiometabolic health outcomes in early childhood, except for an inverse association between prenatal BC and adiponectin, an adipocyte-secreted hormone typically inversely associated with adiposity. CONCLUSIONS Higher early childhood, but not in utero, ambient concentrations of black carbon, a component of air pollution, were associated with greater adiposity and altered insulin homeostasis at approximately 5 years old. Future studies should examine whether these changes persist later in life.
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Affiliation(s)
- Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kayleigh P Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Yang L, Xie G, Yang W, Wang R, Zhang B, Xu M, Sun L, Xu X, Xiang W, Cui X, Luo Y, Chung MC. Short-term effects of air pollution exposure on the risk of preterm birth in Xi'an, China. Ann Med 2023; 55:325-334. [PMID: 36598136 PMCID: PMC9828631 DOI: 10.1080/07853890.2022.2163282] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
INTRODUCTION Long-term exposure to air pollution is known to be harmful to preterm birth (PTB), but little is known about the short-term effects. This study aims to quantify the short-term effect of particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5), ≤10 μm (PM10) and nitrogen dioxide (NO2) on PTB. MATERIALS AND METHODS A total of 18,826 singleton PTBs were collected during the study period. Poisson regression model combined with the distributed lag non-linear model was applied to evaluate the short-term effects of PTBs and air pollutants. RESULTS Maternal exposure to NO2 was significantly associated increased risk of PTB at Lag1 (RR: 1.025, 95%CI: 1.003-1.047). In the moving average model, maternal exposure to NO2 significantly increased the risk of PTB at Lag01 (RR: 1.029, 95%CI: 1.004-1.054). In the cumulative model, maternal exposure to NO2 significant increased the risk of PTB at Cum01 (RR:1.026, 95%CI: 1.002-1.051), Cum02 (RR: 1.030, 95%CI: 1.003-1.059), and Cum03 (RR: 1.033, 95%CI: 1.002-1.066). The effects of PM2.5, PM10 and NO2 on PTB were significant and greater in the cold season than the warm season. CONCLUSIONS Maternal exposure to NO2, PM2.5 and PM10 before delivery has a significant risk for PTB, particularly in the cold season.Key messagesMaternal exposure to NO2 was significant associated with an increased risk of preterm birth at the day 1 before delivery.Particle matter (PM2.5 and PM10) showed a significant short-term effect on preterm birth in the cold season.The effects of air pollutants on preterm birth was greater in the cold season compared with the warm season.
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Affiliation(s)
- Liren Yang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Guilan Xie
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Wenfang Yang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Ruiqi Wang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Boxing Zhang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Mengmeng Xu
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Landi Sun
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Xu Xu
- The National Medical Center Office, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Wanwan Xiang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,College of Public Health, Zhengzhou University, Zhengzhou, P.R. China
| | - Xiaoyi Cui
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,College of Nursing, Peking University Health Science Center, Beijing, P.R. China
| | - Yiwen Luo
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Mei Chun Chung
- Division of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
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Bartha I, De La Fuente M, Martinez‐Sanchez N, De La Calle M, Martin Boado E, Bartha JL. The influence of air pollution on gestational age at delivery and birthweight in patients with or without respiratory allergy: A nested case-control study. Acta Obstet Gynecol Scand 2023; 102:1593-1601. [PMID: 37602745 PMCID: PMC10577623 DOI: 10.1111/aogs.14655] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 06/15/2023] [Accepted: 07/18/2023] [Indexed: 08/22/2023]
Abstract
INTRODUCTION Air pollution is a current major health issue. The burden of airborne pollutants and aeroallergen levels varies throughout the year, as well as their interaction and consequences. Prenatal exposure during pregnancy has been associated with adverse perinatal outcomes. The aim of this study was to evaluate the impact of air pollutants on perinatal outcomes in patients with or without respiratory allergy. MATERIAL AND METHODS Nested case-control retrospective study on 3006 pregnant women. Correlations between concentrations of common pollutants in each trimester of pregnancy and on average during the whole pregnancy and both gestational age at delivery and birthweight were studied. Pearson's correlation coefficient and binary logistic regression were used. RESULTS In general, pollutants correlated more strongly with birthweight than with gestational age at delivery. Nine-month NO2 , SO2 , CO, and benzene, and second-trimester CO negatively correlated with birthweight, whereas only first-trimester NO2 showed a very mild correlation with gestational age at delivery. Negative correlations between pollutants and birthweight were much stronger in the respiratory allergy group (n = 43; 1.4%) than in the non-allergic group. After adjustments, the most significant predictive pollutant of birthweight was SO2 in both groups. The best predictive model was much stronger in the allergic group for third-trimester SO2 (R2 = 0.12, p = 0.02) than in the non-allergic group for total SO2 (R2 = 0.002, p = 0.02). For each unit that SO2 increased, birthweight reduced by 3.22% vs. 1.28% in each group, respectively. CONCLUSIONS Air pollutant concentrations, especially SO2 , negatively influenced birthweight. The impact of this association was much stronger and more relevant in the group of women with respiratory allergies.
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Affiliation(s)
- Irene Bartha
- Faculty of MedicineUniversidad Autónoma de MadridMadridSpain
- Department of Women and Children's Health (Paediatric Allergy), School of Life Course Sciences, Faculty of Life Sciences and MedicineKing's College London and Guy's and St Thomas' NHS Foundation TrustLondonUK
| | - Miguel De La Fuente
- Department of Neonatology, Faculty of Life Sciences and MedicineKing's College London and Guy's and St Thomas' NHS Foundation TrustLondonUK
| | | | - María De La Calle
- Department of Obstetrics and GynecologyUniversity Hospital La PazMadridSpain
| | - Elena Martin Boado
- Department of Obstetrics and GynecologyUniversity Hospital La PazMadridSpain
| | - José Luis Bartha
- Faculty of MedicineUniversidad Autónoma de MadridMadridSpain
- Department of Obstetrics and GynecologyUniversity Hospital La PazMadridSpain
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8
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Li X, Xie J, Xu J, Deng L, Cao G, Huang S, Zeng C, Liu C, Zhu S, He G, Lin Z, Ma W, Yang P, Liu T. Long-Term Exposure to Ambient PM 2.5 and Age-Related Cataracts among Chinese Middle-Aged and Older Adults: Evidence from Two National Cohort Studies. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:11792-11802. [PMID: 37534997 DOI: 10.1021/acs.est.3c02646] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Cataract is one key cause of visual disability and blindness. Ambient particulate matter is more likely to increase cataract risk due to eye continuous exposure to the environment. However, less is known about whether long-term exposure to particulate matter 2.5 (PM2.5) is related to age-related cataracts. We conducted a population-based study among 22,298 adults from two multicenter cohort studies [China Family Panel Studies (CFPS) and Chinese Longitudinal Healthy Longevity Survey (CLHLS)]. The associations between PM2.5 and age-related cataracts were analyzed by Cox proportional hazard regression models, which were also stratified according to demographic characteristics. The restricted cubic spline (RCS) model was used to explore the dose-response relationships between PM2.5 and age-related cataracts. The population attributable fraction (PAF) was calculated to assess the burden of age-related cataracts that can be attributed to PM2.5. In the final analysis, 1897 participants reported age-related cataracts during follow-up. Long-term exposure to PM2.5 was associated with age-related cataracts, with HRs of 1.165 (1.130, 1.201), 1.138 (1.103, 1.173), and 1.091 (1.057, 1.126) for per 10 μg/m3 increase at one-, two-, and three-year before the end of follow-up, respectively. Furthermore, associations between PM2.5 and age-related cataracts were also demonstrated in RCS models. The PAF of age-related cataracts to PM2.5 in the total participants was 24.63%. Our research found that long-term exposure to PM2.5 may increase the risk of age-related cataracts, and age-related cataracts should be considered as an important public health issue due to air pollution.
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Affiliation(s)
- Xiaojie Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jinying Xie
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jiahong Xu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Langjing Deng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Ganxiang Cao
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510080, China
| | - Songyi Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Chenyan Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Chaoqun Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Sui Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
- Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
- Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
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9
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Wu Y, Zeng F, Li J, Jiang Y, Zhao S, Knibbs LD, Zhang X, Wang Y, Zhang Q, Wang Q, Hu Q, Guo X, Chen Y, Cao G, Wang J, Yang X, Wang X, Liu T, Zhang B. Sex-specific relationships between prenatal exposure to metal mixtures and birth weight in a Chinese birth cohort. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 262:115158. [PMID: 37348214 DOI: 10.1016/j.ecoenv.2023.115158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/14/2023] [Accepted: 06/17/2023] [Indexed: 06/24/2023]
Abstract
Birth weight is an indicator linking intrauterine environmental exposures to later-life diseases, and intrauterine metal exposure may affect birth weight in a sex-specific manner. We investigated sex-specific associations between prenatal exposure to metal mixtures and birth weight in a Chinese birth cohort. The birth weight of 1296 boys and 1098 girls were recorded, and 10 metals in maternal urine samples collected during pregnancy were measured using inductively coupled plasma mass spectrometry. Bayesian Kernel Machine Regression was used to estimate the association of individual metals or metal mixtures and birth weight for gestational age (BW for GA). The model showed a sex-specific relationship between prenatal exposure to metal mixtures and BW for GA with a significant negative association in girls and a non-significant positive association in boys. Cadmium (Cd) and nickel (Ni) were positively and negatively associated with BW for GA in girls, respectively. Moreover, increasing thallium (Tl) concentration lowered the positive association between Cd and BW for GA and enhanced the negative association between Ni and BW for GA in girls. When exposure to other metals increased, the positive association with Cd diminished, whereas the negative association with Ni or Tl increased. Our findings provide evidence supporting the complex effects of intrauterine exposure to metal mixtures on the birth weight of girls and further highlight the sex heterogeneity in fetal development influenced by intrauterine environmental factors.
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Affiliation(s)
- Ying Wu
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Fulin Zeng
- Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Jinhui Li
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
| | - Yukang Jiang
- School of Mathematics, Sun Yat-sen University, Guangzhou, Guangdong, China; Southern China Center for Statistical Science, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shi Zhao
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Chinese University of Hong Kong (CUHK) Shenzhen Research Institute, Shenzhen, Guangdong, China
| | - Luke D Knibbs
- School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Xiaojun Zhang
- Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Yiding Wang
- Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Qianqian Zhang
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Qiansheng Hu
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xiaobo Guo
- School of Mathematics, Sun Yat-sen University, Guangzhou, Guangdong, China; Southern China Center for Statistical Science, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yumeng Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Ganxiang Cao
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Jing Wang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Xingfen Yang
- Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Xueqin Wang
- Department of Statistics and Finance/International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, Anhui, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, Guangdong, China.
| | - Bo Zhang
- Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China.
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10
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Liu T, Gong W, Zhou C, Bai G, Meng R, Huang B, Zhang H, Xu Y, Hu R, Hou Z, Xiao Y, Li J, Xu X, Jin D, Qin M, Zhao Q, Xu Y, Hu J, Xiao J, He G, Rong Z, Zeng F, Yang P, Liu D, Yuan L, Cao G, Chen Z, Yu S, Yang S, Huang C, Du Y, Yu M, Lin L, Liang X, Ma W. Mortality burden based on the associations of ambient PM 2.5 with cause-specific mortality in China: Evidence from a death-spectrum wide association study (DWAS). ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 259:115045. [PMID: 37235896 DOI: 10.1016/j.ecoenv.2023.115045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 05/17/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023]
Abstract
Although studies have estimated the associations of PM2.5 with total mortality or cardiopulmonary mortality, few have comprehensively examined cause-specific mortality risk and burden caused by ambient PM2.5. Thus, this study investigated the association of short-term exposure to PM2.5 with cause-specific mortality using a death-spectrum wide association study (DWAS). Individual information of 5,450,764 deaths during 2013-2018 were collected from six provinces in China. Daily PM2.5 concentration in the case and control days were estimated by a random forest model. A time-stratified case-crossover study design was applied to estimate the associations (access risk, ER) of PM2.5 with cause-specific mortality, which was then used to calculate the population-attributable fraction (PAF) of mortality and the corresponding mortality burden caused by PM2.5. Each 10 μg/m3 increase in PM2.5 concentration (lag03) was associated with a 0.80 % [95 % confidence interval (CI): 0.73 %, 0.86 %] rise in total mortality. We found greater mortality effect at PM2.5 concentrations < 50 μg/m3. Stratified analyses showed greater ERs in females (1.01 %, 95 %CI: 0.91 %, 1.11 %), children ≤ 5 years (2.17 %, 95 %CI: 0.85 %, 3.51 %), and old people ≥ 70 years. We identified 33 specific causes (level 2) of death which had significant associations with PM2.5, including 16 circulatory diseases, 9 respiratory diseases, and 8 other causes. The PAF estimated based on the overall association between PM2.5 and total mortality was 3.16 % (95 %CI: 2.89 %, 3.40 %). However, the PAF was reduced to 2.88 % (95 %CI: 1.88 %, 3.81 %) using the associations of PM2.5 with 33 level 2 causes of death, based on which 250.15 (95 %CI: 163.29, 330.93) thousand deaths were attributable to short-term PM2.5 exposure across China in 2019. Overall, this study provided a comprehensive picture on the death-spectrum wide association between PM2.5 and morality in China. We observed robust positive cause-specific associations of PM2.5 with mortality risk, which may provide more precise basis in assessing the mortality burden of air pollution.
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Affiliation(s)
- Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health,School of Medicine, Jinan University, Guangzhou 510632, China
| | - Weiwei Gong
- Zhejiang Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Chunliang Zhou
- Department of Environment and Health, Hunan Provincial Center for Disease Control and Prevention, Changsha 450001, China
| | - Guoxia Bai
- Institute of Non-communicable Diseases Prevention and Control,Tibet Center for Disease Control and Prevention, Lhasa 850000, China
| | - Ruilin Meng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Biao Huang
- Health Hazard Factors Control Department, Jilin Provincial Center for Disease Control and Prevention, Changchun 130062, China
| | - Haoming Zhang
- Yunnan Center for Disease Control and Prevention, Kunming 650022, China
| | - Yanjun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Ruying Hu
- Zhejiang Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Zhulin Hou
- Health Hazard Factors Control Department, Jilin Provincial Center for Disease Control and Prevention, Changchun 130062, China
| | - Yize Xiao
- Yunnan Center for Disease Control and Prevention, Kunming 650022, China
| | - Junhua Li
- Department of Environment and Health, Hunan Provincial Center for Disease Control and Prevention, Changsha 450001, China
| | - Xiaojun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Donghui Jin
- Department of Environment and Health, Hunan Provincial Center for Disease Control and Prevention, Changsha 450001, China
| | - Mingfang Qin
- Yunnan Center for Disease Control and Prevention, Kunming 650022, China
| | - Qinglong Zhao
- Health Hazard Factors Control Department, Jilin Provincial Center for Disease Control and Prevention, Changchun 130062, China
| | - Yiqing Xu
- Department of Environment and Health, Hunan Provincial Center for Disease Control and Prevention, Changsha 450001, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Guanghao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health,School of Medicine, Jinan University, Guangzhou 510632, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health,School of Medicine, Jinan University, Guangzhou 510632, China
| | - Dan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health,School of Medicine, Jinan University, Guangzhou 510632, China
| | - Lixia Yuan
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Ganxiang Cao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health,School of Medicine, Jinan University, Guangzhou 510632, China
| | - Siwen Yu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health,School of Medicine, Jinan University, Guangzhou 510632, China
| | - Shangfeng Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health,School of Medicine, Jinan University, Guangzhou 510632, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Yaodong Du
- Guangdong Provincial Climate Center, Guangzhou 510080, China
| | - Min Yu
- Zhejiang Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Lifeng Lin
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Xiaofeng Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health,School of Medicine, Jinan University, Guangzhou 510632, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health,School of Medicine, Jinan University, Guangzhou 510632, China.
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11
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Schrott R, Song A, Ladd-Acosta C. Epigenetics as a Biomarker for Early-Life Environmental Exposure. Curr Environ Health Rep 2022; 9:604-624. [PMID: 35907133 DOI: 10.1007/s40572-022-00373-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW There is interest in evaluating the developmental origins of health and disease (DOHaD) which emphasizes the role of prenatal and early-life environments on non-communicable health outcomes throughout the life course. The ability to rigorously assess and identify early-life risk factors for later health outcomes, including those with childhood onset, in large population samples is often limited due to measurement challenges such as impractical costs associated with prospective studies with a long follow-up duration, short half-lives for some environmental toxicants, and lack of biomarkers that capture inter-individual differences in biologic response to external environments. RECENT FINDINGS Epigenomic patterns, and DNA methylation in particular, have emerged as a potential objective biomarker to address some of these study design and exposure measurement challenges. In this article, we summarize the literature to date on epigenetic changes associated with specific prenatal and early-life exposure domains as well as exposure mixtures in human observational studies and their biomarker potential. Additionally, we highlight evidence for other types of epigenetic patterns to serve as exposure biomarkers. Evidence strongly supports epigenomic biomarkers of exposure that are detectable across the lifespan and across a range of exposure domains. Current and future areas of research in this field seek to expand these lines of evidence to other environmental exposures, to determine their specificity, and to develop predictive algorithms and methylation scores that can be used to evaluate early-life risk factors for health outcomes across the life span.
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Affiliation(s)
- Rose Schrott
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ashley Song
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
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Qiao P, Fan K, Bao Y, Yuan L, Kan H, Zhao Y, Cai J, Ying H. Prenatal exposure to fine particulate matter and the risk of spontaneous preterm birth: A population-based cohort study of twins. Front Public Health 2022; 10:1002824. [PMID: 36353284 PMCID: PMC9638056 DOI: 10.3389/fpubh.2022.1002824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/07/2022] [Indexed: 01/27/2023] Open
Abstract
Background Studies in singletons have suggested that prenatal exposure to fine particulate matter (PM2.5) and some of its chemical components is associated with an increased risk of preterm birth (PTB). However, no study has been conducted in twins. Purpose To examine the associations of maternal exposure to total PM2.5 mass and its carbonaceous components with PTB in twin pregnancies. Methods A total of 1,515 pairs of twins and their mothers were enrolled from a previous twin birth cohort that had been conducted at the Shanghai First Maternity and Infant Hospital School of Medicine of Tongji University in China. Participants who had iatrogenic PTBs were excluded. Maternal exposure to total PM2.5 mass and two carbonaceous components, namely, organic carbon (OC) and black carbon (BC), was estimated by a satellite-based model. The associations between PM2.5 exposure and the risk of spontaneous PTB were evaluated by logistic regression analysis. Results This study found that exposure to total PM2.5 mass and OC during the second trimester of pregnancy was significantly associated with an increased risk of spontaneous PTB. An interquartile range (IQR) increase in total PM2.5 mass and OC exposure during the second trimester was associated with 48% (OR = 1.48, 95% CI, 1.06, 2.05) and 50% (OR = 1.50, 95% CI, 1.00, 2.25) increases in the odds of PTB, respectively. However, no significant association was found between BC exposure during any exposure window and the risk of PTB. Conclusion The findings suggest that exposure to ambient air pollution with fine particles may be a risk factor for spontaneous PTB in twin pregnancies. The middle stage of pregnancy seems to be a critical window for the impacts of PM2.5 exposure on PTB in twin pregnancies.
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Affiliation(s)
- Ping Qiao
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Kechen Fan
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yirong Bao
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ling Yuan
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Haidong Kan
- Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China
| | - Yan Zhao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai, China,*Correspondence: Hao Ying
| | - Jing Cai
- Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China,Jing Cai
| | - Hao Ying
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai, China,Yan Zhao
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13
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Basilio E, Chen R, Fernandez AC, Padula AM, Robinson JF, Gaw SL. Wildfire Smoke Exposure during Pregnancy: A Review of Potential Mechanisms of Placental Toxicity, Impact on Obstetric Outcomes, and Strategies to Reduce Exposure. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13727. [PMID: 36360613 PMCID: PMC9657128 DOI: 10.3390/ijerph192113727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/07/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
Climate change is accelerating the intensity and frequency of wildfires globally. Understanding how wildfire smoke (WS) may lead to adverse pregnancy outcomes and alterations in placental function via biological mechanisms is critical to mitigate the harms of exposure. We aim to review the literature surrounding WS, placental biology, biological mechanisms underlying adverse pregnancy outcomes as well as interventions and strategies to avoid WS exposure in pregnancy. This review includes epidemiologic and experimental laboratory-based studies of WS, air pollution, particulate matter (PM), and other chemicals related to combustion in relation to obstetric outcomes and placental biology. We summarized the available clinical, animal, and placental studies with WS and other combustion products such as tobacco, diesel, and wood smoke. Additionally, we reviewed current recommendations for prevention of WS exposure. We found that there is limited data specific to WS; however, studies on air pollution and other combustion sources suggest a link to inflammation, oxidative stress, endocrine disruption, DNA damage, telomere shortening, epigenetic changes, as well as metabolic, vascular, and endothelial dysregulation in the maternal-fetal unit. These alterations in placental biology contribute to adverse obstetric outcomes that disproportionally affect the most vulnerable. Limiting time outdoors, wearing N95 respirator face masks and using high quality indoor air filters during wildfire events reduces exposure to related environmental exposures and may mitigate morbidities attributable to WS.
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Affiliation(s)
- Emilia Basilio
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA 94143, USA
| | - Rebecca Chen
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA 94143, USA
| | | | - Amy M. Padula
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA 94143, USA
| | - Joshua F. Robinson
- Center for Reproductive Sciences, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA 94143, USA
| | - Stephanie L. Gaw
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA 94143, USA
- Center for Reproductive Sciences, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA 94143, USA
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14
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Liu XC, Strodl E, Huang LH, Lu Q, Liang Y, Chen WQ. First Trimester of Pregnancy as the Sensitive Period for the Association between Prenatal Mosquito Coil Smoke Exposure and Preterm Birth. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11771. [PMID: 36142044 PMCID: PMC9517152 DOI: 10.3390/ijerph191811771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/08/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
Mosquito coils are efficient mosquito repellents and mosquito coil smoke (MCS) contributes to indoor air pollution. However, no prior population-based study has investigated whether prenatal MCS exposure is a risk factor for preterm birth (PTB) and whether exposure to MCS in different trimesters of pregnancy is associated with different levels of risk. The sample involved 66,503 mother-child dyads. Logistic regression models were used to examine the relationships between prenatal MCS exposure during different trimesters of pregnancy and PTB. We found that prenatal MCS exposure was associated with a greater likelihood of PTB (OR = 1.12, 95%CI: 1.05-1.20). The prenatal MCS exposure during the first trimester was associated with 1.17 (95%CI: 1.09-1.25) times the odds of being PTB, which was higher than exposure during the second trimester (OR = 1.11, 95%CI: 1.03-1.19) and during the third trimester (OR = 1.08, 95%CI: 1.01-1.16). In the stratified analysis, prenatal MCS exposure significantly increased PTB risk among girls but not among boys. Our results indicated that maternal MCS exposure during pregnancy was associated with PTB and that the first trimester might be the sensitive period. In light of these findings, public health interventions are needed to reduce prenatal exposure to MCS, particularly during the first trimester of pregnancy.
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Affiliation(s)
- Xin-Chen Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Esben Strodl
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Li-Hua Huang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qing Lu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yang Liang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wei-Qing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
- School of Health, Xinhua College of Guangzhou, Guangzhou 510080, China
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15
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Zhu S, Chen G, Ye Y, Zhou H, He G, Chen H, Xiao J, Hu J, Zeng F, Yang P, Liu C, He Z, Wang J, Cao G, Chen Y, Feng H, Ma W, Liu T. Effect of maternal ozone exposure before and during pregnancy on wheezing risk in offspring: A birth cohort study in Guangzhou, China. ENVIRONMENTAL RESEARCH 2022; 212:113426. [PMID: 35550810 DOI: 10.1016/j.envres.2022.113426] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 04/28/2022] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
Ozone (O3) exposure may lead to the development and exacerbation of asthma or wheezing in postnatal children; however, it has rarely been studied before and during pregnancy. Wheezing is one of the most common symptoms when diagnosing of asthma; thus, we investigated the associations of O3 exposure before and during pregnancy with wheezing in preschool children and the potential susceptible exposure windows from a heavily polluted city in China. This population-based birth cohort study, which included 3725 mother-child pairs from Guangzhou, began in 2016, and the follow-up period ended on July 31, 2020. We used a spatiotemporal land-use-regression model combined with activity patterns to estimate the daily O3 exposure levels during the pre-pregnancy period and each trimester, and wheezing was recorded by reviewing medical records. We used the Cox proportional hazard model to quantify the effects of O3 exposure on childhood wheezing adjusted for potential confounders. No significant association was detected between pre-pregnancy exposure to O3 and childhood wheezing. However, increased ambient O3 exposures throughout pregnancy and in the second trimester were positively associated with the risk of childhood wheezing, with hazard ratios (HRs) and 95% confident intervals (CIs) per interquartile range (IQR) increment of 1.22 (95% CI: 1.04-1.44) and 1.31 (95% CI: 1.09-1.58), respectively. The effects of maternal O3 exposure on childhood wheezing risk was stronger when the exposure occurred in the warm conception season (P < 0.05). Significant childhood wheezing risk could be attributable to maternal O3 exposure, especially during the second trimester and with warm-season conception in Guangzhou. Further cohorts of children, particularly school age children who have more robust asthma diagnoses, should be investigated in the future.
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Affiliation(s)
- Sui Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510080, China
| | - Guimin Chen
- School of Public Health, Southern Medical University, Guangzhou, 510515, China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Yufeng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, 511400, China
| | - He Zhou
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China; School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Hanwei Chen
- Guangzhou Panyu Central Hospital, Guangzhou, 511400, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510080, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510080, China
| | - Chaoqun Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510080, China
| | - Zhongrong He
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China; School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jiong Wang
- School of Public Health, Southern Medical University, Guangzhou, 510515, China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Ganxiang Cao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China; School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Yumeng Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China; School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Hao Feng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510080, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510080, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510080, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China.
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16
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Svoboda LK, Perera BPU, Morgan RK, Polemi KM, Pan J, Dolinoy DC. Toxicoepigenetics and Environmental Health: Challenges and Opportunities. Chem Res Toxicol 2022; 35:1293-1311. [PMID: 35876266 PMCID: PMC9812000 DOI: 10.1021/acs.chemrestox.1c00445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The rapidly growing field of toxicoepigenetics seeks to understand how toxicant exposures interact with the epigenome to influence disease risk. Toxicoepigenetics is a promising field of environmental health research, as integrating epigenetics into the field of toxicology will enable a more thorough evaluation of toxicant-induced disease mechanisms as well as the elucidation of the role of the epigenome as a biomarker of exposure and disease and possible mediator of exposure effects. Likewise, toxicoepigenetics will enhance our knowledge of how environmental exposures, lifestyle factors, and diet interact to influence health. Ultimately, an understanding of how the environment impacts the epigenome to cause disease may inform risk assessment, permit noninvasive biomonitoring, and provide potential opportunities for therapeutic intervention. However, the translation of research from this exciting field into benefits for human and animal health presents several challenges and opportunities. Here, we describe four significant areas in which we see opportunity to transform the field and improve human health by reducing the disease burden caused by environmental exposures. These include (1) research into the mechanistic role for epigenetic change in environment-induced disease, (2) understanding key factors influencing vulnerability to the adverse effects of environmental exposures, (3) identifying appropriate biomarkers of environmental exposures and their associated diseases, and (4) determining whether the adverse effects of environment on the epigenome and human health are reversible through pharmacologic, dietary, or behavioral interventions. We then highlight several initiatives currently underway to address these challenges.
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Affiliation(s)
- Laurie K Svoboda
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Bambarendage P U Perera
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Rachel K Morgan
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Katelyn M Polemi
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Junru Pan
- Department Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Dana C Dolinoy
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
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17
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Chen G, Zhou H, He G, Zhu S, Sun X, Ye Y, Chen H, Xiao J, Hu J, Zeng F, Yang P, Gao Y, He Z, Wang J, Cao G, Chen Y, Feng H, Ma W, Liu C, Liu T. Effect of early-life exposure to PM 2.5 on childhood asthma/wheezing: a birth cohort study. Pediatr Allergy Immunol 2022; 33. [PMID: 35754133 DOI: 10.1111/pai.13822] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 05/17/2022] [Accepted: 05/31/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Although studies have investigated the association between early-life exposure to fine particulate matter (PM2.5 ) and childhood asthma/wheezing, results are inconsistent and the susceptible exposure window remains largely unknown. METHODS A prospective birth cohort study was conducted to recruit pregnant women during their early pregnancy, and to follow up them and their children up to 3-4 years old. Diagnosis of asthma/wheezing was extracted from children's medical records. A spatiotemporal land-use regression (ST-LUR) model was used to assess maternal exposure to PM2.5 during pregnancy and their children's exposure after birth. The Cox proportional hazards model and accelerated failure time model (for violation of proportional hazards assumption) were applied to estimate the effects of prenatal and postnatal exposures to PM2.5 on the risk of childhood asthma/wheezing. RESULTS A total of 3725 children were included, and 392 children (10.52%) were diagnosed with asthma/wheezing. Both prenatal and postnatal exposures to PM2.5 were positively associated with the risk of asthma/wheezing. Each interquartile range (IQR) increment in PM2.5 exposure during the entire pregnancy (4.8 μg/m3 ) and the period from birth to the end of follow-up (1.5 μg/m3 ) was associated with adjusted hazard ratios (HRs) of 1.44 [95% confidence interval (CI): 1.13, 1.85] and 2.74 (95% CI: 2.59, 2.91), respectively. Subgroup analyses showed greater HRs for PM2.5 exposures during the pseudoglandular stage (6-16 gestational weeks [GWs]: IQR = 4.8 μg/m3 , HR = 1.10, 95% CI: 1.02, 1.18) and canalicular stage (16-24 GWs: IQR = 4.8 μg/m3 , HR = 1.13, 95% CI:1.03, 1.23) than other stages, and also showed significant effects in the first three-year period after birth (IQR = 1.5 μg/m3 , HR = 2.37, 95% CI: =2.24, 2.51). CONCLUSION Higher prenatal and postnatal PM2.5 exposures may increase the risk of childhood asthma/wheezing. The pseudoglandular stage, canalicular stage, and the first three years after birth may be key susceptible to exposure windows.
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Affiliation(s)
- Guimin Chen
- School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
| | - He Zhou
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.,School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Sui Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yufeng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Hanwei Chen
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Jianpeng Xiao
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
| | - Jianxiong Hu
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Yanhui Gao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zhongrong He
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.,School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiong Wang
- School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
| | - Ganxiang Cao
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.,School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yumeng Chen
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.,School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Hao Feng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.,Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, China
| | - Chaoqun Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.,Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.,Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, China
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18
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Lin MW, Tsai MH, Shih CY, Tai YY, Lee CN, Lin SY. Comparison of DNA Methylation Changes Between the Gestation Period and the After-Delivery State: A Pilot Study of 10 Women. Front Nutr 2022; 9:829915. [PMID: 35600817 PMCID: PMC9116383 DOI: 10.3389/fnut.2022.829915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 04/01/2022] [Indexed: 11/22/2022] Open
Abstract
Background Gestational adaptation occurs soon after fertilization and continues throughout pregnancy, whereas women return to a pre-pregnancy state after delivery and lactation. However, little is known about the role of DNA methylation in fine-tuning maternal physiology. Understanding the changes in DNA methylation during pregnancy is the first step in clarifying the association of diet, nutrition, and thromboembolism with the changes in DNA methylation. In this study, we investigated whether and how the DNA methylation pattern changes in the three trimesters and after delivery in ten uncomplicated pregnancies. Results DNA methylation was measured using a Human MethylationEPIC BeadChip. There were 14,018 cytosine-guanine dinucleotide (CpG) sites with statistically significant changes in DNA methylation over the four time periods (p <
0.001). Overall, DNA methylation after delivery was higher than that of the three trimesters (p < 0.001), with the protein ubiquitination pathway being the top canonical pathway involved. We classified the CpG sites into nine groups according to the changes in the three trimesters and found that 38.37% of CpG sites had DNA methylation changes during pregnancy, especially between the first and second trimesters. Conclusion DNA methylation pattern changes between trimesters, indicating possible involvement in maternal adaptation to pregnancy. Meanwhile, DNA methylation patterns during pregnancy and in the postpartum period were different, implying that puerperium repair may also function through DNA methylation mechanisms.
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Affiliation(s)
- Ming-Wei Lin
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Mong-Hsun Tsai
- Bioinformatics and Biostatistics Core Lab, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan
- Institute of Biotechnology, National Taiwan University, Taipei, Taiwan
| | - Ching-Yu Shih
- Bioinformatics and Biostatistics Core Lab, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan
| | - Yi-Yun Tai
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Nan Lee
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Shin-Yu Lin
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
- *Correspondence: Shin-Yu Lin
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19
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Winchester P, Nilsson E, Beck D, Skinner MK. Preterm birth buccal cell epigenetic biomarkers to facilitate preventative medicine. Sci Rep 2022; 12:3361. [PMID: 35232984 PMCID: PMC8888575 DOI: 10.1038/s41598-022-07262-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 02/11/2022] [Indexed: 11/09/2022] Open
Abstract
Preterm birth is the major cause of newborn and infant mortality affecting nearly one in every ten live births. The current study was designed to develop an epigenetic biomarker for susceptibility of preterm birth using buccal cells from the mother, father, and child (triads). An epigenome-wide association study (EWAS) was used to identify differential DNA methylation regions (DMRs) using a comparison of control term birth versus preterm birth triads. Epigenetic DMR associations with preterm birth were identified for both the mother and father that were distinct and suggest potential epigenetic contributions from both parents. The mother (165 DMRs) and female child (136 DMRs) at p < 1e-04 had the highest number of DMRs and were highly similar suggesting potential epigenetic inheritance of the epimutations. The male child had negligible DMR associations. The DMR associated genes for each group involve previously identified preterm birth associated genes. Observations identify a potential paternal germline contribution for preterm birth and identify the potential epigenetic inheritance of preterm birth susceptibility for the female child later in life. Although expanded clinical trials and preconception trials are required to optimize the potential epigenetic biomarkers, such epigenetic biomarkers may allow preventative medicine strategies to reduce the incidence of preterm birth.
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Affiliation(s)
- Paul Winchester
- Department of Pediatrics, St. Franciscan Hospital, School of Medicine, Indiana University, Indianapolis, IN, 46202-5201, USA
| | - Eric Nilsson
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA
| | - Daniel Beck
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA
| | - Michael K Skinner
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA.
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20
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Gong C, Wang J, Bai Z, Rich DQ, Zhang Y. Maternal exposure to ambient PM 2.5 and term birth weight: A systematic review and meta-analysis of effect estimates. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 807:150744. [PMID: 34619220 DOI: 10.1016/j.scitotenv.2021.150744] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 09/18/2021] [Accepted: 09/28/2021] [Indexed: 06/13/2023]
Abstract
Effect estimates of prenatal exposure to ambient PM2.5 on change in grams (β) of birth weight among term births (≥37 weeks of gestation; term birth weight, TBW) vary widely across studies. We present the first systematic review and meta-analysis of evidence regarding these associations. Sixty-two studies met the eligibility criteria for this review, and 31 studies were included in the meta-analysis. Random-effects meta-analysis was used to assess the quantitative relationships. Subgroup analyses were performed to gain insight into heterogeneity derived from exposure assessment methods (grouped by land use regression [LUR]-models, aerosol optical depth [AOD]-based models, interpolation/dispersion/Bayesian models, and data from monitoring stations), study regions, and concentrations of PM2.5 exposure. The overall pooled estimate involving 23,925,941 newborns showed that TBW was negatively associated with PM2.5 exposure (per 10 μg/m3 increment) during the entire pregnancy (β = -16.54 g), but with high heterogeneity (I2 = 95.6%). The effect estimate in the LUR-models subgroup (β = -16.77 g) was the closest to the overall estimate and with less heterogeneity (I2 = 18.3%) than in the other subgroups of AOD-based models (β = -41.58 g; I2 = 95.6%), interpolation/dispersion models (β = -10.78 g; I2 = 86.6%), and data from monitoring stations (β = -11.53 g; I2 = 97.3%). Even PM2.5 exposure levels of lower than 10 μg/m3 (the WHO air quality guideline value) had adverse effects on TBW. The LUR-models subgroup was the only subgroup that obtained similar significant of negative associations during the three trimesters as the overall trimester-specific analyses. In conclusion, TBW was negatively associated with maternal PM2.5 exposures during the entire pregnancy and each trimester. More studies based on relatively standardized exposure assessment methods need to be conducted to further understand the precise susceptible exposure time windows and potential mechanisms.
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Affiliation(s)
- Chen Gong
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Jianmei Wang
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - David Q Rich
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA
| | - Yujuan Zhang
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.
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21
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Li Z, Yang M, Duan L, Gong Y, Xia H, Afrim FK, Huang H, Liu X, Yu F, Zhang Y, Ba Y, Zhou G. The neonatal PROC gene rs1799809 polymorphism modifies the association between prenatal air pollutants exposure and PROC promoter methylation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:14575-14583. [PMID: 34617212 DOI: 10.1007/s11356-021-16694-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 09/20/2021] [Indexed: 06/13/2023]
Abstract
Prenatal air pollution, protein C (PROC) gene abnormal methylation, and genetic mutation can cause a series of neonatal diseases, but the complex relationship between them remains unclear. Here, we recruited 552 mothers and their own babies during January 2010-January 2012 in Zhengzhou to explore such association. The air pollutant data was obtained from the Environmental Monitoring Stations. The rs1799809 genotype and the methylation levels at the promoter region of PROC in genomic DNA samples were detected respectively by TaqMan probe and quantitative methylation specific PCR using real-time PCR system. The results show that the levels of neonatal PROC methylation were negatively associated with concentrations of NO2 during the entire pregnancy, particularly during the third trimester. Of particular significance, only in newborns carrying rs1799809 AA genotype, negatively significant associations between PROC methylation levels and exposure concentrations of air pollutants were observed. Further, we observed a significant interactive effect between neonatal rs1799809 genotype and SO2 exposure during the entire pregnancy on neonatal PROC methylation levels. Prenatal exposure to ambient air pollutants specifically was associated with the neonatal PROC promoter methylation level of newborns carrying the rs1799809 AA genotype. Taken together, these findings suggest that neonatal PROC methylation levels are associated with prenatal exposure to ambient air pollutants, and this association can be modified by rs1799809 genotype.
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Affiliation(s)
- Zhiyuan Li
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Meng Yang
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Leizhen Duan
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Yongxiang Gong
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Hongxia Xia
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Francis-Kojo Afrim
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Hui Huang
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Xiaoxue Liu
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Fangfang Yu
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Yawei Zhang
- Department of Environment Health Science, Yale University School of Public Health, New Haven, CT, USA
| | - Yue Ba
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Guoyu Zhou
- Department of Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan, 450001, People's Republic of China.
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22
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Air Pollution and Perinatal Health in the Eastern Mediterranean Region: Challenges, Limitations, and the Potential of Epigenetics. Curr Environ Health Rep 2022; 9:1-10. [PMID: 35080743 DOI: 10.1007/s40572-022-00337-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/26/2021] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW Even though the burden of disease attributable to air pollution is high in the Eastern Mediterranean Region (EMR), the number of studies linking environmental exposures to negative health outcomes remains scarce and limited in scope. This review aims to assess the literature on exposure to air pollutants and perinatal health in the EMR and to explain the potential of epigenetics in exploring the processes behind adverse birth outcomes. RECENT FINDINGS In the last three decades, hundreds of studies and publications tackled the health effects of air pollution on birth outcomes and early life development, but only a small number of these studies was conducted in the EMR. The existing literature is concentrated in specific geographic locations and is focused on a limited number of exposures and outcomes. Main limitations include inconsistent and poorly funded air quality monitoring, inappropriate study designs, imprecise and/or unreliable assessments of exposures, and outcomes. Even though the studies establish associations between air pollutants and adverse birth outcomes, the mechanisms through which these processes take place are yet to be fully understood. A likely candidate to explain these processes is epigenetics; however, epigenetics research on the impact of air pollution in EMR is still in its infancy. This review highlights the need for future research examining perinatal health and air pollutants, especially the epigenetic processes that underlie the adverse birth outcomes, to better understand them and to develop effective recommendations and intervention strategies.
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23
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Wang J, Sun J, Sun L, Ye Y, Chen H, Xiao J, He G, Hu J, Chen G, Zhou H, Dong X, Ma W, Zhang B, Liu T. The Seroprevalence of Dengue Virus Infection and Its Association With Iron (Fe) Level in Pregnant Women in Guangzhou, China. Front Med (Lausanne) 2021; 8:759728. [PMID: 34957145 PMCID: PMC8702999 DOI: 10.3389/fmed.2021.759728] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/23/2021] [Indexed: 11/13/2022] Open
Abstract
Dengue fever is regarded as the most prevalent mosquito-borne viral disease in humans. However, information of dengue virus (DENV) infection in pregnant women and the influence factors remain unclear. In this study, we extracted information of 2,076 pregnant women from the Prenatal Environment and Offspring Health (PEOH) birth cohort conducted since 2016 in Guangzhou, China. Peripheral blood and clean midstream urine samples of participants were collected during their hospitalization for childbirth. Indirect enzyme-linked immunosorbent assay (ELISA) was used to detect immunoglobulin G (IgG) antibodies of DENV in serum samples, and inductively coupled plasma mass spectrometry (ICP-MS) was applied to determine the Fe concentrations in the urine samples, which were then adjusted for by urine creatinine and transformed by natural logarithm (ln-Fe). The seroprevalence of DENV IgG antibody in all included participants was 2.22% (46/2,076). We observed higher seroprevalence of IgG antibody in women aged ≥35 years (2.9%), education ≤ 12 years (2.5%), yearly income per capita <100,000 yuan (2.4%), no use of air-conditioner (2.4%), no use of mosquito coils (2.3%), and no exercise during pregnancy (4.1%). A U-shaped relationship was found between ln-Fe concentration and the risk of positive IgG antibody. Compared with women with ln-Fe concentration of 2.0–2.9 μg/g creatinine, slightly higher risks of positive IgG antibody were found among women with ≤2.0 (RR = 4.16, 95% CI: 0.78, 19.91), 3.0–3.9 (RR = 1.93, 95% CI: 0.65, 7.08), 4.0–4.9 (RR = 2.19, 95% CI: 0.65, 8.51), and ≥5.0 μg/g creatinine of ln-Fe (RR = 2.42, 95% CI: 0.46, 11.33). Our findings suggested that the seroprevalence of dengue IgG antibody in pregnant women was comparable to the general population in Guangzhou, China. The risk of DENV infection may be associated with maternal demographic characteristics and behaviors. Both maternal low and high Fe concentrations may be positively associated with the risk of DENV infection.
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Affiliation(s)
- Jiong Wang
- School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jiufeng Sun
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Limei Sun
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yufeng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Hanwei Chen
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Guimin Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - He Zhou
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.,School of Public Health, Southern Medical University, Guangzhou, China
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24
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Liu T, Meng H, Yu M, Xiao Y, Huang B, Lin L, Zhang H, Hu R, Hou Z, Xu Y, Yuan L, Qin M, Zhao Q, Xu X, Gong W, Hu J, Xiao J, Chen S, Zeng W, Li X, He G, Rong Z, Huang C, Du Y, Ma W. Urban-rural disparity of the short-term association of PM 2.5 with mortality and its attributable burden. Innovation (N Y) 2021; 2:100171. [PMID: 34778857 PMCID: PMC8577160 DOI: 10.1016/j.xinn.2021.100171] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 09/28/2021] [Indexed: 11/27/2022] Open
Abstract
Although studies have investigated the associations between PM2.5 and mortality risk, evidence from rural areas is scarce. We aimed to compare the PM2.5-mortality associations between urban cities and rural areas in China. Daily mortality and air pollution data were collected from 215 locations during 2014–2017 in China. A two-stage approach was employed to estimate the location-specific and combined cumulative associations between short-term exposure to PM2.5 (lag 0–3 days) and mortality risks. The excess risks (ER) of all-cause, respiratory disease (RESP), cardiovascular disease (CVD), and cerebrovascular disease (CED) mortality for each 10 μg/m3 increment in PM2.5 across all locations were 0.54% (95% confidence interval [CI]: 0.38%, 0.70%), 0.51% (0.10%, 0.93%), 0.74% (0.50%, 0.97%), and 0.52% (0.20%, 0.83%), respectively. Slightly stronger associations for CVD (0.80% versus 0.60%) and CED (0.61% versus 0.26%) mortality were observed in urban cities than in rural areas, and slightly greater associations for RESP mortality (0.51% versus 0.43%) were found in rural areas than in urban cities. A mean of 2.11% (attributable fraction [AF], 95% CI: 1.48%, 2.76%) of all-cause mortality was attributable to PM2.5 exposure in China, with a larger AF in urban cities (2.89% [2.12%, 3.67%]) than in rural areas (0.61% [−0.60%, 1.84%]). Disparities in PM2.5-mortality associations between urban cities and rural areas were also found in some subgroups classified by sex and age. This study provided robust evidence on the associations of PM2.5 with mortality risks in China and demonstrated urban-rural disparities of PM2.5-mortality associations for various causes of death. PM2.5 had greater effects on CVD/CED mortality in urban cities than in rural areas PM2.5 had stronger effects on RESP mortality in rural areas than in urban cities An annual mean of 16.5/100,000 deaths was attributable to PM2.5 in urban cities An annual mean of 3.4//100,000 deaths was attributable to PM2.5 in rural areas Spatially targeted measures are needed to reduce PM2.5-related mortality in China
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Affiliation(s)
- Tao Liu
- School of Medicine, Jinan University, Guangzhou 510632, China.,Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Haorong Meng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Min Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Yize Xiao
- Yunnan Provincial Center for Disease Control and Prevention, Kunming 650022, China
| | - Biao Huang
- Health Hazard Factors Control Department, Jilin Provincial Center for Disease Control and Prevention, Changchun 130062, China
| | - Lifeng Lin
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Haoming Zhang
- Yunnan Provincial Center for Disease Control and Prevention, Kunming 650022, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Zhulin Hou
- Health Hazard Factors Control Department, Jilin Provincial Center for Disease Control and Prevention, Changchun 130062, China
| | - Yanjun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Letao Yuan
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Mingfang Qin
- Yunnan Provincial Center for Disease Control and Prevention, Kunming 650022, China
| | - Qinglong Zhao
- Health Hazard Factors Control Department, Jilin Provincial Center for Disease Control and Prevention, Changchun 130062, China
| | - Xiaojun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Weiwei Gong
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Siqi Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yaodong Du
- Guangdong Provincial Climate Center, Guangzhou 510080, China
| | - Wenjun Ma
- School of Medicine, Jinan University, Guangzhou 510632, China.,Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
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25
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Ghazi T, Naidoo P, Naidoo RN, Chuturgoon AA. Prenatal Air Pollution Exposure and Placental DNA Methylation Changes: Implications on Fetal Development and Future Disease Susceptibility. Cells 2021; 10:cells10113025. [PMID: 34831248 PMCID: PMC8616150 DOI: 10.3390/cells10113025] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 12/11/2022] Open
Abstract
The Developmental Origins of Health and Disease (DOHaD) concept postulates that in utero exposures influence fetal programming and health in later life. Throughout pregnancy, the placenta plays a central role in fetal programming; it regulates the in utero environment and acts as a gatekeeper for nutrient and waste exchange between the mother and the fetus. Maternal exposure to air pollution, including heavy metals, can reach the placenta, where they alter DNA methylation patterns, leading to changes in placental function and fetal reprogramming. This review explores the current knowledge on placental DNA methylation changes associated with prenatal air pollution (including heavy metals) exposure and highlights its effects on fetal development and disease susceptibility. Prenatal exposure to air pollution and heavy metals was associated with altered placental DNA methylation at the global and promoter regions of genes involved in biological processes such as energy metabolism, circadian rhythm, DNA repair, inflammation, cell differentiation, and organ development. The altered placental methylation of these genes was, in some studies, associated with adverse birth outcomes such as low birth weight, small for gestational age, and decreased head circumference. Moreover, few studies indicate that DNA methylation changes in the placenta were sex-specific, and infants born with altered placental DNA methylation patterns were predisposed to developing neurobehavioral abnormalities, cancer, and atopic dermatitis. These findings highlight the importance of more effective and stricter environmental and public health policies to reduce air pollution and protect human health.
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Affiliation(s)
- Terisha Ghazi
- Discipline of Medical Biochemistry, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa; (T.G.); (P.N.)
| | - Pragalathan Naidoo
- Discipline of Medical Biochemistry, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa; (T.G.); (P.N.)
| | - Rajen N. Naidoo
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa;
| | - Anil A. Chuturgoon
- Discipline of Medical Biochemistry, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa; (T.G.); (P.N.)
- Correspondence: ; Tel.: +27-31-260-4404
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26
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Zhang J, Chen G, Liang S, Liu J, Zhang J, Shen H, Chen Y, Duan J, Sun Z. PM 2.5 exposure exaggerates the risk of adverse birth outcomes in pregnant women with pre-existing hyperlipidemia: Modulation role of adipokines and lipidome. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 787:147604. [PMID: 33992945 DOI: 10.1016/j.scitotenv.2021.147604] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 05/02/2021] [Accepted: 05/05/2021] [Indexed: 06/12/2023]
Abstract
The in-utero environmental exposure to fine particulate matter (PM2.5) might lead to adverse birth outcomes, such as low birth weight (LBW) and preterm birth (PTB), thereby increasing susceptibility to diseases in later life. However, no studies have examined the underlying mechanism through cross-omics of lipidome and adipokines profiling, as well as the possible effect modification by maternal hyperlipidemia. In total, 203 mother-newborn pairs were recruited in the birth cohort study ongoing since February 2017 in Beijing, China. Individual-level of PM2.5 exposure was estimated using a satellite data based random forest model. Cord blood lipidome and adipokines were assessed through the lipidomic approaches and antibody-based array. Multivariable logistic/linear regression models and moderation analysis were employed in this study. We observed a significantly increased risk of PTB associated with PM2.5 exposure during the second trimester, especially in pregnant women with pre-existing hyperlipidemia. 9 lipid classes and 21 adipokines were associated with PM2.5 exposure independently or significantly influenced by the interaction of maternal PM2.5 exposure and hyperlipidemia. In addition, 4 adipokines (ANGPTL4, IGFBP-2, IL-12p40, and TNF-RII) and 3 lipid classes [phosphatidylcholines (PCs), phosphatidylinositols (PIs), and triglycerides (TGs)] were related to the increased risk of PTB, indicating that inflammation, IGF/IGFBP axis, and lipolysis induced lipid homeostasis disorder of PCs, TGs, and PIs might be the possible mediators for the PM2.5-induced adverse birth outcomes. Our results substantiated the need for reducing exposure in susceptible populations.
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Affiliation(s)
- Jingyi Zhang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shuang Liang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China
| | - Jiangyan Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China
| | - Jie Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, People's Republic of China
| | - Heqing Shen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, People's Republic of China
| | - Yi Chen
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, People's Republic of China.
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China.
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27
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Cho HJ, Lee SH, Lee SY, Kim HC, Kim HB, Park MJ, Yoon J, Jung S, Yang SI, Lee E, Ahn K, Kim KW, Suh DI, Sheen YH, Won HS, Lee MY, Kim SH, Lee KJ, Choi SJ, Kwon JY, Jun JK, Choi KY, Hong SJ. Mid-pregnancy PM 2.5 exposure affects sex-specific growth trajectories via ARRDC3 methylation. ENVIRONMENTAL RESEARCH 2021; 200:111640. [PMID: 34302828 DOI: 10.1016/j.envres.2021.111640] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 06/15/2021] [Accepted: 07/01/2021] [Indexed: 06/13/2023]
Abstract
Prenatal particulate matter <2.5 μm (PM2.5) is associated with adverse birth growth. However, the longitudinal growth impacts have been little studied, and no mechanistic relationships have been described. We investigated the association between prenatal PM2.5 exposure and growth trajectories, and the possible role of epigenetics. We enrolled 1313 neonates with PM2.5 data measured by ordinary kriging from the COhort for Childhood Origin of Asthma and allergic diseases, followed up at 1, 3, and 5 years to evaluate growth. Differential DNA methylation and pyrosequencing of cord blood leukocytes was evaluated according to the prenatal PM2.5 levels and birth weight (BW). PM2.5 exposure during the second trimester (T2) caused the lowest BW in both sexes, further adjusted for indoor PM2.5 levels [female, aOR 1.39 (95% CI 1.05-1.83); male, aOR 1.36 (95% CI 1.04-1.79)]. Bayesian distributed lag models with indoor PM2.5 adjustments revealed a sensitive window for BW effects at 10-26 weeks gestation, but only in females. Latent class mixture models indicated that a persistently low weight-for-height percentile trajectory was more prevalent in the highest PM2.5 exposure quartile at T2 in females, compared to a persistently high trajectory (36.5% vs. 20.3%, P = 0.022). Also, in the females only, the high PM2.5 and low BW neonates showed significantly greater ARRDC3 methylation changes. ARRDC3 methylation was also higher only in females with low weight at 5 years of age. Higher fetal PM2.5 exposure during T2 may cause a decreased growth trajectory, especially in females, mediated by ARRDC3 hyper-methylation-associated energy metabolism.
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Affiliation(s)
- Hyun-Ju Cho
- Department of Pediatrics, International St. Mary's Hospital, Catholic Kwandong University, Incheon, South Korea
| | - Seung-Hwa Lee
- Asan Institute for Life Science, University of Ulsan College of Medicine, Seoul, South Korea
| | - So-Yeon Lee
- Department of Pediatrics, Childhood Asthma Atopy Center, Humidifier Disinfectant Health Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Hwan-Cheol Kim
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, South Korea
| | - Hyo-Bin Kim
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, South Korea
| | - Min Jee Park
- Department of Pediatrics, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, South Korea
| | - Jisun Yoon
- Department of Pediatrics, MediplexSejong Hospital, South Korea
| | - Sungsu Jung
- Department of Pediatrics, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Song-I Yang
- Department of Pediatrics, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, South Korea
| | - Eun Lee
- Department of Pediatrics, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, South Korea
| | - Kangmo Ahn
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Environmental Health Center for Atopic Disease, Samsung Medical Center, Seoul, South Korea
| | - Kyung Won Kim
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
| | - Dong In Suh
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, South Korea
| | - Youn Ho Sheen
- Department of Pediatrics, CHA Gangnam Medical Center, CHA University School of Medicine, Seoul, South Korea
| | - Hye-Sung Won
- Department of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Mi-Young Lee
- Department of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Soo Hyun Kim
- Department of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University School of Medicine, Seoul, South Korea
| | - Kyung-Ju Lee
- Department of Obstetrics and Gynecology, Korea University Medical Center, Seoul, South Korea
| | - Suk-Joo Choi
- Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Ja-Young Kwon
- Department of Obstetrics and Gynecology, Yonsei University College of Medicine, Seoul, South Korea
| | - Jong Kwan Jun
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, South Korea
| | - Kil-Yong Choi
- Department of Environmental Energy Engineering, Anyang University, Anyang, South Korea
| | - Soo-Jong Hong
- Department of Pediatrics, Childhood Asthma Atopy Center, Humidifier Disinfectant Health Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
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28
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Exposure to Stress and Air Pollution from Bushfires during Pregnancy: Could Epigenetic Changes Explain Effects on the Offspring? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18147465. [PMID: 34299914 PMCID: PMC8305161 DOI: 10.3390/ijerph18147465] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/09/2021] [Accepted: 07/09/2021] [Indexed: 12/20/2022]
Abstract
Due to climate change, bushfires are becoming a more frequent and more severe phenomenon which contributes to poor health effects associated with air pollution. In pregnancy, environmental exposures can have lifelong consequences for the fetus, but little is known about these consequences in the context of bushfire smoke exposure. In this review we summarise the current knowledge in this area, and propose a potential mechanism linking bushfire smoke exposure in utero to poor perinatal and respiratory outcomes in the offspring. Bushfire smoke exposure is associated with poor pregnancy outcomes including reduced birth weight and an increased risk of prematurity. Some publications have outlined the adverse health effects on young children, particularly in relation to emergency department presentations and hospital admissions for respiratory problems, but there are no studies in children who were exposed to bushfire smoke in utero. Prenatal stress is likely to occur as a result of catastrophic bushfire events, and stress is known to be associated with poor perinatal and respiratory outcomes. Changes to DNA methylation are potential epigenetic mechanisms linking both smoke particulate exposure and prenatal stress to poor childhood respiratory health outcomes. More research is needed in large pregnancy cohorts exposed to bushfire events to explore this further, and to design appropriate mitigation interventions, in this area of global public health importance.
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29
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Zhou H, Sun X, Wang Y, Ye Y, Chen H, Chen Q, He G, Wang J, Liu X, Dong M, Chen D, Chen G, Yuan L, Xiao J, Hu J, Zeng W, Rong Z, Zhang Q, Zhou M, Guo L, Lv Y, Fan J, Pu Y, Ma W, Zhang B, Liu T. The Mediating Role of Placental Weight Change in the Association Between Prenatal Exposure to Thallium and Birth Weight: A Prospective Birth Cohort Study. Front Public Health 2021; 9:679406. [PMID: 34277546 PMCID: PMC8283527 DOI: 10.3389/fpubh.2021.679406] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 06/08/2021] [Indexed: 11/29/2022] Open
Abstract
Background: Previous studies have demonstrated the embryotoxicity and fetotoxicity of thallium (Tl). However, the effects of prenatal exposure to Tl on birth weight and placental weight and the mediating role of placental weight in the association of Tl with birth weight remain unclear. Methods: We recruited 2,748 participants from the ongoing Prenatal Environment and Offspring Health Cohort (PEOH Cohort) study, which was initiated in 2016 in Guangzhou, China. The Tl concentrations in maternal urine samples collected during the first and third trimester were determined by inductively coupled plasma mass spectrometry. Birth weight and placental weight were extracted from maternal medical records. Results: Pregnant women exposed to the highest tertile of Tl in the first trimester (β = −42.7 g, 95% CI: −82.3, −3.1 g) and third trimester (β = −50.6 g, 95% CI: −99.0, −2.3 g) had babies with lower birth weights than those exposed to the lowest tertile. We also found significant negative associations of exposure to Tl concentrations in the first and third trimester with placental weight. Mediation analyses showed that 50.3% (95% CI: 15.9, 79.2%) and 33.5% (95% CI: 1.3, 80.3%) of the effects of Tl exposure in the first and third trimester on birth weight were mediated by decreased placental weight. Conclusion: Our results suggest that prenatal exposure to Tl is negatively associated with birth weight and that this association may be mediated by decreased placental weight.
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Affiliation(s)
- He Zhou
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.,Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yiding Wang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yufeng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Hanwei Chen
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Qingsong Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jiaqi Wang
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.,Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xin Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Public Health, Southern Medical University, Guangzhou, China
| | - Dengzhou Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.,Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Guimin Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Public Health, Southern Medical University, Guangzhou, China
| | - Lixia Yuan
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Qianqian Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Mengya Zhou
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Lingchuan Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Yanyun Lv
- Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen, China
| | - Jingjie Fan
- Department of Prevention and Health Care, Shenzhen Maternity & Child Health Care Hospital, Southern Medical University, Shenzhen, China
| | - Yudong Pu
- Songshan Lake Central Hospital of Dongguan City, Dongguan, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China.,School of Public Health, Southern Medical University, Guangzhou, China
| | - Tao Liu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.,Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Medicine, Jinan University, Guangzhou, China
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Xiao J, Zhang W, Huang M, Lu Y, Lawrence WR, Lin Z, Primeau M, Dong G, Liu T, Tan W, Ma W, Meng X, Lin S. Increased risk of multiple pregnancy complications following large-scale power outages during Hurricane Sandy in New York State. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 770:145359. [PMID: 33736412 DOI: 10.1016/j.scitotenv.2021.145359] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 01/11/2021] [Accepted: 01/17/2021] [Indexed: 05/02/2023]
Abstract
BACKGROUND Large-scale power outages (PO) are increasing in the context of climate change. Although some research has been conducted into the adverse health impacts of POs, significant gaps remain regarding whether POs would affect the health of pregnant women. We investigated the association between ED visits due to pregnancy complications and the occurence, intensity, and duration of large-scale POs in eight Sandy-affected counties in New York State (NYS). METHODS In this cross-sectional study, daily ED visits for pregnancy complications and large-scale PO data in eight counties in NYS from October to December in 2005-2014 were collected. Using time-series analysis, we estimated the relative increase in ED visits for pregnancy complications during POs compared with non-PO periods at lag 0-7 days. Short-term health impacts of PO intensity and PO duration were investigated. Estimations were also stratified by sociodemographic characteristics and disease subtypes including threatened or spontaneous abortion, threatened or early labor, hypertension complications, infections of genitourinary tract, renal diseases, gestational diabetes mellitus, mental illnesses, and cardiovascular diseases during pregnancy. RESULTS From October to December in 2005-2014, there were 307,739 ED visits for pregnancy complications in the eight counties. We found significant increases in ED visits for overall pregnancy complications (16.6%, 95% confidence interval [CI]: 10.3%, 23.2%) during the Hurricane-PO period at lag 0-7 days. The ED visits increased by 8.8% per level increase in PO intensity and 1.4% per day increase in PO duration. Specifically, threatened/early delivery and gestational diabetes mellitus during the PO period increased by 26.7% (95% CI: 8.2%, 48.4%) and 111.8% (95% CI: 16.7%, 284.4%), respectively. Young adult, Black, Hispanic, and uninsured individuals were at higher risk of complications. CONCLUSIONS POs may adversely impact pregnancy, especially for certain pregnancy complications and among low sociodemographic women.
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Affiliation(s)
- Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China; Department of Occupational Health and Occupational Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Wangjian Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, NY 12144, USA
| | - Miaoling Huang
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Yi Lu
- Department of Health Law, Policy, Management, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Wayne R Lawrence
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Albany, NY 12144, USA
| | - Ziqiang Lin
- Department of Psychiatry, New York University Langone Health School of Medicine, New York, NY 10016, USA
| | - Michael Primeau
- Office of Health Emergency Preparedness, New York State Department of Health, Albany, NY 12237, USA
| | - Guanghui Dong
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Weihong Tan
- The Reproductive Medicine and Genetic Center, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi 530021, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
| | - Xiaojing Meng
- Department of Occupational Health and Occupational Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
| | - Shao Lin
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, NY 12144, USA; Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Albany, NY 12144, USA.
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31
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Gat R, Kachko E, Kloog I, Erez O, Yitshak-Sade M, Novack V, Novack L. Differences in environmental factors contributing to preterm labor and PPROM - Population based study. ENVIRONMENTAL RESEARCH 2021; 196:110894. [PMID: 33609551 DOI: 10.1016/j.envres.2021.110894] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 02/03/2021] [Accepted: 02/12/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Previous reports indicate an association between ambient temperature (Ta) and air pollution exposure during pregnancy and preterm birth (PTB). Nevertheless, information regarding the association between environmental factors and specific precursors of spontaneous preterm birth is lacking. We aimed to determine the association between Ta and air pollution during gestation and the precursors of spontaneous preterm parturition, i.e. preterm labor (PTL) and preterm prelabor rupture of membranes (PPROM). METHODS From 2003 to 2013 there were 84,476 deliveries of singleton gestation that comprised the study cohort. Exposure data during pregnancy included daily measurements of temperature and particulate matter <2.5 μm and <10 μm, PM2.5 and PM10, respectively. Deliveries were grouped into PPROM, PTL and non-spontaneous preterm and term deliveries. Exposure effect was tested in windows of a week and two days prior to admission for delivery and adjusted to gestational age and socio-economic status. Poisson regression models were used for analyses. RESULTS There is an association of environmental exposure with the precursors of spontaneous preterm parturition; PPROM was more sensitive to Ta fluctuations than PTL. This effect was modified by the ethnicity, Bedouin-Arabs were susceptible to elevated Ta, especially within the last day prior to admission with PPROM (Relative Risk (RR) =1.19 [95% CI, 1.03; 1.37]). Jews, on the other hand, were susceptible to ambient pollutants, two (RR=1.025 [1.010; 1.040]) and one (RR= 1.017 [1.002; 1.033]) days prior to spontaneous PTL with intact membranes resulting in preterm birth. CONCLUSION High temperature is an independent risk factor for PPROM among Bedouin-Arabs; ambient pollution is an independent risk factor for spontaneous PTL resulting in preterm birth. Thus, the precursors of spontaneous preterm parturition differ in their association with environmental factors.
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Affiliation(s)
- Roni Gat
- Negev Environmental Health Research Institute, Clinical Research Center, Soroka University Medical Center, Beer-Sheva, Israel; Department of Geography and Environmental Development, Ben-Gurion University, Beer Sheva, Israel.
| | - Eric Kachko
- Negev Environmental Health Research Institute, Clinical Research Center, Soroka University Medical Center, Beer-Sheva, Israel
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University, Beer Sheva, Israel
| | - Offer Erez
- Maternity Department "D" Division of Obstetrics and Gynecology, Soroka University Medical Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI, USA
| | - Maayan Yitshak-Sade
- Negev Environmental Health Research Institute, Clinical Research Center, Soroka University Medical Center, Beer-Sheva, Israel; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Victor Novack
- Negev Environmental Health Research Institute, Clinical Research Center, Soroka University Medical Center, Beer-Sheva, Israel
| | - Lena Novack
- Negev Environmental Health Research Institute, Clinical Research Center, Soroka University Medical Center, Beer-Sheva, Israel; Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er-Sheva, Israel
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32
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Zhang QQ, Li JH, Wang YD, Li XN, Wang JQ, Zhou MY, Dong MR, Chen GM, Ye YF, Zhang HH, Zhu W, Liu T, Zhang B. Association between maternal thallium exposure and risk of gestational diabetes mellitus: Evidence from a birth cohort study. CHEMOSPHERE 2021; 270:128637. [PMID: 33097235 DOI: 10.1016/j.chemosphere.2020.128637] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 10/08/2020] [Accepted: 10/11/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The adverse effects of TI exposure on pregnant women are still unclear, especially regarding the risk of gestational diabetes mellitus (GDM) Objective: We explored the association between maternal urinary Tl burden and the risk of GDM. METHODS A subsample of 1789 pregnant women were enrolled who provided spot urine samples before the diagnostic 75-g oral glucose tolerance test. Urinary Tl concentration was measured using inductively coupled plasma mass spectrometry. Logistic regression and covariance analysis were carried out to estimate the association between Tl exposure and GDM risk. RESULTS The median of urinary Tl concentration was 0.382 μg/L or 0.525 μg/g creatinine (CC-Tl). There were 437 (24.4%) participants who were diagnosed with GDM, and the urinary CC-Tl concentrations of pregnant women with GDM were higher than that of pregnant women without GDM [0.548 (0.402, 0.788) vs 0.518 (0.356, 0.724), p = 0.014]. After adjusting for the relevant covariates, an association between urinary Tl concentrations and GDM was found. In comparison to the pregnant women in the lowest quartile of urinary CC-Tl concentration, the pregnant women in the highest quartile had a higher risk of GDM [OR (95% CI) = 1.44 (1.03, 2.02), p-trend = 0.055]. If limited to the pregnant women without family history of diabetes, the results were still robust [OR (95% CI) = 1.59 (1.11, 2.30), p-trend = 0.012]. CONCLUSION Urinary CC-Tl concentration was associated with GDM among Chinese pregnant women. Our findings provide evidence that moderately high Tl exposure may be a novel risk factor for pregnant women health.
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Affiliation(s)
- Qian-Qian Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, PR China
| | - Jin-Hui Li
- School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Yi-Ding Wang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China
| | - Xiao-Na Li
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, PR China
| | - Jia-Qi Wang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, PR China
| | - Meng-Ya Zhou
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China
| | - Mo-Ran Dong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Gui-Min Chen
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Yu-Feng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, 511400, Guangdong, PR China
| | - Hui-Hong Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China
| | - Wei Zhu
- Department of Toxicology, Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, PR China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, PR China; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China.
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China.
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Wang J, Qian R, Wang Y, Dong M, Liu X, Zhou H, Ye Y, Chen G, Chen D, Yuan L, Xiao J, He G, Hu J, Zeng W, Rong Z, Zhang Q, Zhou M, Jin J, Fan J, Sun J, Ma W, Zhang B, Liu T. The mediation effect of placental weight change in the association between prenatal exposure to selenium and birth weight: Evidence from a prospective birth cohort study in China. ACTA ACUST UNITED AC 2021; 5:e139. [PMID: 33870013 PMCID: PMC8043733 DOI: 10.1097/ee9.0000000000000139] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 01/26/2021] [Indexed: 11/25/2022]
Abstract
Supplemental Digital Content is available in the text. Selenium (Se) is an essential element and also toxic at an excessive level for human body. However, few studies have investigated adverse effects of Se exposure on birth weight and placental weight.
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Affiliation(s)
- Jiaqi Wang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Rui Qian
- Statistical Information Center for Health and Family Planning Bureau of Foshan, Foshan, China
| | - Yiding Wang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Public Health, Southern Medical University, Guangzhou, China
| | - Xin Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - He Zhou
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yufeng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Guimin Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Public Health, Southern Medical University, Guangzhou, China
| | - Dengzhou Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Lixia Yuan
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Qianqian Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Mengya Zhou
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Juan Jin
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jingjie Fan
- Department of Prevention and Health Care, Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Jiufeng Sun
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Medicine, Jinan University, Guangzhou, China
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China.,School of Public Health, Southern Medical University, Guangzhou, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.,School of Medicine, Jinan University, Guangzhou, China
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Zhang Y, Wei J, Shi Y, Quan C, Ho HC, Song Y, Zhang L. Early-life exposure to submicron particulate air pollution in relation to asthma development in Chinese preschool children. J Allergy Clin Immunol 2021; 148:771-782.e12. [PMID: 33684436 DOI: 10.1016/j.jaci.2021.02.030] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 01/27/2021] [Accepted: 02/16/2021] [Indexed: 01/15/2023]
Abstract
BACKGROUND Emerging research suggested an association of early-life particulate air pollution exposure with development of asthma in childhood. However, the potentially differential effects of submicron particulate matter (PM; PM with aerodynamic diameter ≤1 μm [PM1]) remain largely unknown. OBJECTIVE This study primarily aimed to investigate associations of childhood asthma and wheezing with in utero and first-year exposures to size-specific particles. METHODS We conducted a large cross-sectional survey among 5788 preschool children aged 3 to 5 years in central China. In utero and first-year exposures to ambient PM1, PM with aerodynamic diameter less than or equal to 2.5 μm, and PM with aerodynamic diameter less than or equal to 10 μm at 1 × 1-km resolution were assessed using machine learning-based spatiotemporal models. A time-to-event analysis was performed to examine associations between residential PM exposures and childhood onset of asthma and wheezing. RESULTS Early-life size-specific PM exposures, particularly during pregnancy, were significantly associated with increased risk of asthma, whereas no evident PM-wheezing associations were observed. Each 10-μg/m3 increase in in utero and first-year PM1 exposure was accordingly associated with an asthma's hazard ratio in childhood of 1.618 (95% CI, 1.159-2.258; P = .005) and 1.543 (0.822-2.896; P = .177). Subgroup analyses suggest that short breast-feeding duration may aggravate PM-associated risk of childhood asthma. Each 10-μg/m3 increase in in utero exposure to PM1, for instance, was associated with a hazard ratio of 2.260 (1.393-3.666) among children with 0 to 5 months' breast-feeding and 1.156 (0.721-1.853) among those longer breast-fed. CONCLUSIONS Our study added comparative evidence for increased risk of childhood asthma in relation to early-life PM exposures, highlighting stronger associations with ambient PM1 than with PM with aerodynamic diameter less than or equal to 2.5 μm and PM with aerodynamic diameter less than or equal to 10 μm.
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Affiliation(s)
- Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China.
| | - Jing Wei
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, The University of Iowa, Iowa City, Iowa
| | - Yuqin Shi
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China; Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Chao Quan
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China; Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China
| | - Yimeng Song
- Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China; Smart Cities Research Institute, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ling Zhang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China; Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan, China.
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Neophytou AM, Kioumourtzoglou MA, Goin DE, Darwin KC, Casey JA. Educational note: addressing special cases of bias that frequently occur in perinatal epidemiology. Int J Epidemiol 2021; 50:337-345. [PMID: 33367719 PMCID: PMC8453403 DOI: 10.1093/ije/dyaa252] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/16/2020] [Indexed: 12/12/2022] Open
Abstract
The epidemiologic study of pregnancy and birth outcomes may be hindered by several unique and challenging issues. Pregnancy is a time-limited period in which severe cohort attrition takes place between conception and birth and adverse outcomes are complex and multi-factorial. Biases span those familiar to epidemiologists: selection, confounding and information biases. Specific challenges include conditioning on potential intermediates, how to treat race/ethnicity, and influential windows of prolonged, seasonal and potentially time-varying exposures. Researchers studying perinatal outcomes should be cognizant of the potential pitfalls due to these factors and address their implications with respect to formulating questions of interest, choice of an appropriate analysis approach and interpretations of findings given assumptions. In this article, we catalogue some of the more important potential sources of bias in perinatal epidemiology that have more recently gained attention in the literature, provide the epidemiologic context behind each issue and propose practices for dealing with each issue to the extent possible.
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Affiliation(s)
- Andreas M Neophytou
- Department of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | | | - Dana E Goin
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of California, San Francisco, CA, USA
| | - Kristin C Darwin
- Department of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joan A Casey
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
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36
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Lin L, Guo Y, Han N, Su T, Jin C, Chen G, Li Q, Zhou S, Tang Z, Liu Z, Bao H, Wang H. Prenatal exposure to airborne particulate matter of 1 μm or less and fetal growth: A birth cohort study in Beijing, China. ENVIRONMENTAL RESEARCH 2021; 194:110729. [PMID: 33434605 DOI: 10.1016/j.envres.2021.110729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 01/04/2021] [Accepted: 01/06/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND The association of airborne particulate matter of 1 μm or less (PM1) with fetal growth hasn't been studied. We aimed to investigate the association of PM1 with fetal growth parameters measured via ultrasonography and birth weight. METHODS The birth cohort included 18,669 pregnant women who were pregnant between 2014 and 2017 in Tongzhou Maternal and Child Health Hospital of Beijing, China. The predicted PM1 concentration was matched with the residential addresses of each woman. The fetal abdominal circumference (AC), head circumference (HC), femur length (FL) and estimated fetal weight (EFW) were evaluated via ultrasonography, while birth weight was measured at birth. The fetal parameters and birth weight were standardized as gestational-age- and gender-adjusted Z-score. We defined undergrowth of fetal parameters, low birth weight (LBW) and small-for-gestational-age (SGA) as categorized outcomes. Generalized estimating equations and generalized linear regression were used to examine the associations of PM1 with quantitative and categorized outcomes, respectively. RESULTS A 10 μg/m3 increase in PM1 was associated with decrement in the Z-scores of AC [-0.027, 95% confidence intervals (CI): -0.047~ -0.07]EFW (-0.055, 95%CI: -0.075~-0.035). These results remained robust after adjusting nitrogen dioxide and sulphur dioxide. We didn't observe significant results regarding the analyses of undergrowth of all fetal parameters and the analyses of birth weight outcomes. CONCLUSION This study identified the negative associations between PM1 and fetal parameters in utero. The findings provided robust evidence that strategies for reducing PM1 exposure can prevent early-life health.
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Affiliation(s)
- Lizi Lin
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China; Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Na Han
- Tongzhou Maternal and Child Health Hospital of Beijing, Beijing, China
| | - Tao Su
- Tongzhou Maternal and Child Health Hospital of Beijing, Beijing, China
| | - Chuyao Jin
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China; Reproductive Medical Centre, Department of Obstetrics and Gynaecology, Peking University Third Hospital, Beijing, China
| | - Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Zeyu Tang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Zheng Liu
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Heling Bao
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
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Isaevska E, Moccia C, Asta F, Cibella F, Gagliardi L, Ronfani L, Rusconi F, Stazi MA, Richiardi L. Exposure to ambient air pollution in the first 1000 days of life and alterations in the DNA methylome and telomere length in children: A systematic review. ENVIRONMENTAL RESEARCH 2021; 193:110504. [PMID: 33221306 DOI: 10.1016/j.envres.2020.110504] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 11/14/2020] [Accepted: 11/16/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Exposure to air pollution during the first 1000 days of life (from conception to the 2nd year of life) might be of particular relevance for long-term child health. Changes in molecular markers such as DNA methylation and telomere length could underlie the association between air pollution exposure and pollution-related diseases as well as serve as biomarkers for past exposure. The objective of this systematic review was to assess the association between air pollution exposure during pregnancy and the first two years of life and changes in DNA methylation or telomere length in children. METHODS PubMed was searched in October 2020 by using terms relative to ambient air pollution exposure, DNA methylation, telomere length and the population of interest: mother/child dyads and children. Screening and selection of the articles was completed independently by two reviewers. Thirty-two articles matched our criteria. The majority of the articles focused on gestational air pollution exposure and measured DNA methylation/telomere length in newborn cord blood or placental tissue, to study global, candidate-gene or epigenome-wide methylation patterns and/or telomere length. The number of studies in children was limited. RESULTS Ambient air pollution exposure during pregnancy was associated with global loss of methylation in newborn cord blood and placenta, indicating the beginning of the pregnancy as a potential period of susceptibility. Candidate gene and epigenome-wide association studies provided evidence that gestational exposure to air pollutants can lead to locus-specific changes in methylation, in newborn cord blood and placenta, particularly in genes involved in cellular responses to oxidative stress, mitochondrial function, inflammation, growth and early life development. Telomere length shortening in newborns and children was seen in relation to gestational pollutant exposure. CONCLUSIONS Ambient air pollution during pregnancy is associated with changes in both global and locus-specific DNA methylation and with telomere length shortening. Future studies need to test the robustness of the association across different populations, to explore potential windows of vulnerability and assess the role of the methylation and telomere length as mediators in the association between early exposure to ambient air pollutants and specific childhood health outcomes.
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Affiliation(s)
- Elena Isaevska
- Department of Medical Sciences, University of Turin, CPO Piemonte, Turin, Italy.
| | - Chiara Moccia
- Department of Medical Sciences, University of Turin, CPO Piemonte, Turin, Italy.
| | - Federica Asta
- Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy.
| | - Fabio Cibella
- Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Palermo, Italy.
| | - Luigi Gagliardi
- Division of Neonatology and Pediatrics, Ospedale Versilia, Viareggio, AUSL Toscana Nord Ovest, Pisa, Italy.
| | - Luca Ronfani
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy.
| | - Franca Rusconi
- Unit of Epidemiology, Meyer Children's University Hospital, Florence, Italy.
| | - Maria Antonietta Stazi
- Center "Behavioral Sciences and Mental Health", Istituto Superiore di Sanità, Rome, Italy.
| | - Lorenzo Richiardi
- Department of Medical Sciences, University of Turin, CPO Piemonte, Turin, Italy.
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Morillas H, Gredilla A, Gallego-Cartagena E, Upasen S, Maguregui M, Madariaga JM. PM 10 spatial distribution and metals speciation study in the Bilbao metropolitan area during the 2017-2018 period. CHEMOSPHERE 2020; 259:127482. [PMID: 32640380 DOI: 10.1016/j.chemosphere.2020.127482] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 06/15/2020] [Accepted: 06/18/2020] [Indexed: 06/11/2023]
Abstract
Speciation of respirable particles is becoming increasingly important from an epidemiological and analytical point of view to determine the potential effects of air pollution on human health. For this reason, current laws and analytical sampling methods focus on particle size, as it turns out to be the main factor for the greater or lesser penetration into the airways. In this sense, particles of less than 10 μm in diameter (<10 μm), referred to as PM10, are the particles that have a higher capacity for access to the respiratory tract and, therefore, more significant effect on them. In this sense, one of the most important factors that have a key role in the PM10 atmospheric pollution effect is the dispersion effect with the direct influence of natural effects such as wind, rain, topography apart from others. In this work, PM10 data extracted from the Basque Government environmental stations (19 sampling points) in the Biscay province (Basque Country, north of Spain) were combined with the results obtained from the use of self-made passive samplers (SMPS) in the same sampling points areas and subsequently, the sample analysis with a non-invasive elemental technique (Scanning Electron Microscope coupled to Energy Dispersive X-ray Spectrometry) was carried out. Thanks to this methodology, it was possible to determine a wide variety of metals in PM10 such as Al, Fe, Cr, Ni, Pb, Zn, Ti, etc. Most of them present as oxides and others as part of natural aggregations such as quartz, aluminosilicates, phosphates etc.
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Affiliation(s)
- Héctor Morillas
- Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country UPV/EHU, P.O. Box 644, 48080, Bilbao, Basque Country, Spain; Department of Mathematics and Experimental Sciences Didactics, Faculty of Education, Philosophy and Anthropology, University of the Basque Country UPV/EHU, II Building, Oñati Plaza 3, 20018, Donostia-San Sebastian, Basque Country, Spain.
| | - Ainara Gredilla
- Department of Applied Chemistry, Faculty of Chemistry, University of the Basque Country UPV/EHU, E-2018, San Sebastián, Basque Country, Spain
| | - Euler Gallego-Cartagena
- Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country UPV/EHU, P.O. Box 644, 48080, Bilbao, Basque Country, Spain; Department of Civil and Environmental, Universidad de La Costa, Calle 58 #55-66, 080002, Barranquilla, Colombia
| | - Settakorn Upasen
- Research Unit of Developing Technology and Innovation of Alternative Energy for Industries, Burapha University, 169 Long-Hard Bangsean Road, Seansuk Sub-District, Muang District, Chonburi Province, 20131, Thailand
| | - Maite Maguregui
- Department of Analytical Chemistry, Faculty of Pharmacy, University of the Basque Country UPV/EHU, P.O. Box 450, 01080, Vitoria-Gasteiz, Basque Country, Spain
| | - Juan Manuel Madariaga
- Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country UPV/EHU, P.O. Box 644, 48080, Bilbao, Basque Country, Spain
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Wang J, Liu X, Dong M, Sun X, Xiao J, Zeng W, Hu J, Li X, Guo L, Rong Z, He G, Sun J, Ning D, Chen D, Zhang Y, Zhang B, Ma W, Liu T. Associations of maternal ambient temperature exposures during pregnancy with the placental weight, volume and PFR: A birth cohort study in Guangzhou, China. ENVIRONMENT INTERNATIONAL 2020; 139:105682. [PMID: 32248024 DOI: 10.1016/j.envint.2020.105682] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 02/15/2020] [Accepted: 03/21/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The placenta performs crucial functions to ensure normal fetal development. Experimental studies have indicated associations between exposure to elevated temperatures during pregnancy and reduction in placental weight and volume. However, epidemiological studies in humans are lacking. OBJECTIVE To estimate the associations between prenatal exposure to ambient temperature with placental weight, volume, and the placental weight to birth weight ratio (PFR). METHODS We conducted a prospective birth cohort study using the Prenatal Environment and Offspring Health Cohort (PEOH Cohort) beginning in 2016 in Guangzhou, China. Women in early pregnancy were recruited and followed up during their hospitalization for childbirth. An inverse distance-weighted method was employed to estimate the average temperature exposure of every 4 weeks as well as the trimester-specific average temperature exposure at the individual's residential address. A generalized linear model was applied to estimate the effects of temperature exposure during pregnancy on the placental weight, volume, and PFR. RESULTS A total of 4051 pregnant women were enrolled. Compared with the reference temperature of 20 °C, maternal exposure to 29 °C (95th centile) during late pregnancy was associated with an average of -6.03 g (95% confidence interval [CI]: -11.28 g, -0.78 g) in placental weight, -16.15 cm3 (95% CI: -26.24 cm3, -6.07 cm3) in placental volume, and 0.26 (95% CI: 0.07, 0.45) in PFR. The peak effects of high temperatures on placental weight, volume, and PFR were found from 29 to 32 weeks (β = -3.79 g, 95% CI: -8.39 g, 0.82 g), 37 to 40 weeks (β = -19.34 cm3, 95% CI: -30.99 cm3, -7.69 cm3), and 25 to 28 weeks (β = 0.35, 95% CI: 0.04, 0.66), respectively. CONCLUSIONS Maternal exposure to elevated temperatures was associated with a decrease in placental weight and volume and an increase in PFR. The associations were stronger when exposures occurred during late pregnancy.
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Affiliation(s)
- Jiaqi Wang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Xin Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou 511442, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Lingchuan Guo
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jiufeng Sun
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Dan Ning
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Dengzhou Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Yonghui Zhang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
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Zhang Q, Li X, Liu X, Dong M, Xiao J, Wang J, Zhou M, Wang Y, Ning D, Ma W, Zhu W, Liu T, Zhang B. Association between maternal antimony exposure and risk of gestational diabetes mellitus: A birth cohort study. CHEMOSPHERE 2020; 246:125732. [PMID: 31927364 DOI: 10.1016/j.chemosphere.2019.125732] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/05/2019] [Accepted: 12/22/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND A small number of epidemiological studies have suggested the association of antimony (Sb) exposure with type 2 diabetes risk. However, little is known about the relationship between Sb exposure during pregnancy and risk of gestational diabetes mellitus (GDM). OBJECTIVES To investigate the associations of urinary Sb concentrations with GDM risk and blood glucose levels in pregnant women. METHODS We analyzed the baseline data of 1789 pregnant women enrolled in the Birth Cohort Study on Prenatal Environments and Offspring Health (PEOH) in Guangzhou, China. Sb concentrations in urine were measured by inductively coupled plasma mass spectrometry (ICP-MS). Logistic regression and analysis of covariance were used to evaluate associations of Sb exposure with GDM risk and blood glucose levels. RESULTS A total of 437 (24.4%) women were diagnosed with GDM. The relative risk of GDM for women in the highest quartile of creatinine-corrected Sb (CC-Sb) concentrations was 1.55 [RR (95% CI) = 1.55 (1.12, 2.15), p-trend = 0.005], compared with women in the lowest quartile. Moreover, the women in the top quartile of CC-Sb levels had a 5.2% higher 1 h blood glucose and a 4.2% higher 2 h blood glucose than those in the bottom quartile. We also found an interactive effect between maternal age and CC-Sb on the risk of GDM (p-interaction < 0.001). CONCLUSION This study suggested significant positive associations of Sb exposure with increased GDM risk and impaired blood glucose homeostasis in pregnant women, and the Sb-GDM association might be modified by maternal age.
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Affiliation(s)
- Qianqian Zhang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Xiaona Li
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Xin Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Jing Wang
- Institute of Public Health Service Testing, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Mengya Zhou
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Yiding Wang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Dan Ning
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Wei Zhu
- Department of Toxicology, Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China.
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China.
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Epigenetic Biomarkers for Environmental Exposures and Personalized Breast Cancer Prevention. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17041181. [PMID: 32069786 PMCID: PMC7068429 DOI: 10.3390/ijerph17041181] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 02/07/2020] [Accepted: 02/10/2020] [Indexed: 12/11/2022]
Abstract
Environmental and lifestyle factors are believed to account for >80% of breast cancers; however, it is not well understood how and when these factors affect risk and which exposed individuals will actually develop the disease. While alcohol consumption, obesity, and hormone therapy are some known risk factors for breast cancer, other exposures associated with breast cancer risk have not yet been identified or well characterized. In this paper, it is proposed that the identification of blood epigenetic markers for personal, in utero, and ancestral environmental exposures can help researchers better understand known and potential relationships between exposures and breast cancer risk and may enable personalized prevention strategies.
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Liu X, Xiao J, Sun X, Chen Q, Yao Z, Feng B, Cao G, Guo L, He G, Hu J, Zeng W, Rong Z, Wang Q, Zhang B, Dong M, Wang J, Chen D, Ma W, Liu T. Associations of maternal ambient temperature exposures during pregnancy with the risk of preterm birth and the effect modification of birth order during the new baby boom: A birth cohort study in Guangzhou, China. Int J Hyg Environ Health 2020; 225:113481. [PMID: 32058935 DOI: 10.1016/j.ijheh.2020.113481] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 01/28/2020] [Accepted: 02/03/2020] [Indexed: 10/25/2022]
Abstract
Maternal exposures to ambient temperatures during pregnancy may increase the preterm birth (PTB) risk; however, which periods have stronger effects remain controversial. The effects of temperature exposure on PTB in first- and second-born neonate groups may be different during the new baby boom that has followed the Two-child Policy in China. We examined a birth cohort of 4928 pregnant women beginning in 2016 in Guangzhou, China. An inverse distance weighted method was used to estimate the temperature exposure at each individual residential address. A distribution lag non-linear model incorporating a Cox proportional hazard model was employed to estimate the effects of temperature exposure on PTB and test the effects modification of birth order related to the new baby boom. A total of 4101 pregnant women were included, of which 234 (5.7%) experienced PTB. Compared with the mean temperature (23.0 °C), we found a significantly higher risks of PTB associated with high temperatures (i.e, 30 °C [95th centile]) from the 4th to 8th, and 22nd to 27th gestational weeks. A peak effect was found during the 6th week (HR = 1.79, 95% CI: 1.26, 2.54) and 24th week (HR = 1.83, 95% CI: 1.27, 2.62). The risks of PTB were reduced for low temperatures (i.e. 14 °C [5th centile] versus 23.0 °C) from the 2nd to 10th and 20th to 26th gestational weeks, and the negative peak effect was found during the 4th week (HR = 0.43, 95% CI: 0.26, 0.72) and 23rd week (HR = 0.59, 95% CI: 0.43, 0.83). Stratification analyses showed that significant effects of 30 °C versus 23 °C on PTB were observed during the 4th to 8th weeks in the second-born neonate, and the peak effect was found in the 6th week (HR = 2.13, 95% CI: 1.31, 3.47). However, we did not find significant effects of 30 °C during the same weeks in the first-born neonate group. Maternal exposures to higher temperatures during pregnancy may increase the risk of PTB, and lower temperatures may decrease the risk of PTB. Stronger effects of temperature exposures during the first trimester on PTB risk were found among the second-born neonates than among the first-born neonates.
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Affiliation(s)
- Xin Liu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou, 511442, China
| | - Qingsong Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Zhenjiang Yao
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Baixiang Feng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Ganxiang Cao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Lingchuan Guo
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, China; Department of Environmental and Occupational Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jiaqi Wang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Dengzhou Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Tao Liu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
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Sun X, Luo X, Cao G, Zhao C, Xiao J, Liu X, Dong M, Wang J, Zeng W, Guo L, Wan D, Ma W, Liu T. Associations of ambient temperature exposure during pregnancy with the risk of miscarriage and the modification effects of greenness in Guangdong, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 702:134988. [PMID: 31715397 DOI: 10.1016/j.scitotenv.2019.134988] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 10/13/2019] [Accepted: 10/13/2019] [Indexed: 06/10/2023]
Abstract
Miscarriage is one of the commonest complications of pregnancy. Although previous studies suggested that environmental factors were important causes of miscarriage, evidence is still inadequate. Here, we examined the association of maternal exposure to temperature with the risk of miscarriage and further assessed the modifying effects of surrounding residential greenness. A case-control study was conducted at a large hospital in Guangzhou, China. All participants' information was extracted from hospital records. An inverse distance weighted method was used to estimate the temperature exposure at each residential address, where the greenness was measured by Normalized Difference Vegetation Index (NDVI). A logistic regression model was applied to estimate the association of temperature exposure with the risk of miscarriage. A total of 2044 cases of miscarriage and 2285 controls were included in the present study. We observed a generally non-linear positive relationship between temperature exposure and the risk of miscarriage. More pronounced effects of high temperatures vs. low temperatures were found during the two months prior to hospitalization than in other periods. The odds ratio (OR) of 29.4 °C (95th centile) compared with 15 °C during the first month prior to hospitalization was 1.480 (95% CI: 1.021-2.145). Smaller effects of temperatures were seen on the risk of miscarriage among participants with moderately great surrounding greenness compared with those with less greenness. We concluded that maternal exposure to moderately high temperature during pregnancy may increase the risk of miscarriage, but the modifying effects of greenness on these associations need to be further tested in future studies.
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Affiliation(s)
- Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou 511442, China
| | - Xiping Luo
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou 511442, China
| | - Ganxiang Cao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Chunmei Zhao
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou 511442, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Xin Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jiaqi Wang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Lingchuan Guo
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Donghua Wan
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China; General Practice Center, Nanhai Hospital, Southern Medical University, Foshan 528200, China.
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Liu X, Dong M, Wang J, Chen D, Xiao J, Zeng W, Li X, Hu J, He G, Ma W, Liu T. A weekly time-weighted method of outdoor and indoor individual exposure to particulate air pollution. MethodsX 2019; 6:2439-2442. [PMID: 31720233 PMCID: PMC6838529 DOI: 10.1016/j.mex.2019.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 10/15/2019] [Indexed: 11/11/2022] Open
Abstract
The aim of this study was to estimate the weekly time-weighted (outdoor and indoor activity patterns) individual exposure to particulate air pollutants (PM10, PM2.5 and PM1) of pregnant women. A total of 4928 pregnancy women were recruited during their early pregnancy, and 4278 (86.8%) were successfully followed-up at childbirth. Each individual weekly average PM10 and PM2.5 concentrations at the residential and workplace addresses from three months before pregnancy to childbirth was estimated using a spatiotemporal land use regression (ST-LUR) model, and the weekly PM1 concentration was estimated employing a generalized additive model (GAM) which utilized weekly PM2.5 and meteorological factors as independent predictors. Then, the time-weighted individual exposure to particulate air pollutants during workdays and non-workdays during the period from three months before pregnancy to childbirth was estimated based on the estimated weekly air pollutant concentrations and each participant’s indoor and outdoor activity model, respectively. Data analysis was carried out by R software (version 3.5.1) and packages “SpatioTemporal”, “mgcv” and “splines” were mainly used. This method takes a full consideration of indoor and outdoor activity patterns in the individual exposure to particulate air pollutants. A ST-LUR model was used to estimate the individual weekly average PM10 and PM2.5 concentrations at their residential and workplace addresses. A GAM was applied to estimate the weekly average PM1 concentration at individual residential and workplace addresses. Individual weekly exposure to particulate air pollutants during workdays and non-workdays was assessed based on the estimated particulate air pollutant concentrations and their indoor and outdoor activity model.
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