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Li Y, Yang Z. The causal effect of exposure to air pollution on risk of adverse pregnancy outcomes: A two-sample Mendelian randomisation study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172234. [PMID: 38615756 DOI: 10.1016/j.scitotenv.2024.172234] [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: 01/22/2024] [Revised: 03/10/2024] [Accepted: 04/03/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Epidemiological studies have examined the relation between air pollution (NOx, NO2, PM2.5, PM2.5-10, and PM10) and adverse pregnancy outcomes (APOs). There's increasing evidence that air pollution increases the risk of APOs. However, the results of these studies are controversial, and the causal relation remains uncertain. We aimed to assess whether a genetic causal link exists between air pollution and APOs and the potential effects of this relation. METHODS A novel two-sample Mendelian randomisation (MR) study used pooled data from a large-scale complete genome correlation study. The primary analysis method was inverse variance weighting (IVW), which explored the expose-outcome relationship for assessing single nucleotide polymorphisms (SNPs) associated with air pollution. Further sensitivity analysis, including MR-PRESSO, MR-Egger regression, and leave-one analysis, was used to test the consistency of the results. RESULTS There was a significant correlation between air pollution-related SNPs and APOs. A robust causal link was found between genetic susceptibility to air pollution and APOs. CONCLUSIONS Our MR analysis reveals a genetic causal relation between air pollution and APOs, which may help provide new insights into further mechanisms and clinical studies in air pollution-mediated APOs.
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Affiliation(s)
- Yanhui Li
- Department of Obstetrics and Gynecology, Shandong University Qilu Hospital, 107 Wenhua West Road, Lixia District, Jinan City, Shandong Province, China.
| | - Zhou Yang
- Department of Obstetrics and Gynecology, Shandong University Qilu Hospital, 107 Wenhua West Road, Lixia District, Jinan City, Shandong Province, China
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Hu X, Yang Y, Wang L, Zhao C, Lyu X, Liu M, Wu H, Lei J, Li J, Yao M, Ding Y, Zhang H, He Y, Wang Y, Peng Z, Shen H, Wang Q, Zhang Y, Yan D, Yin J, Ma X. Interpregnancy Interval After Healthy Live Birth and Subsequent Spontaneous Abortion. JAMA Netw Open 2024; 7:e2417397. [PMID: 38884995 PMCID: PMC11184457 DOI: 10.1001/jamanetworkopen.2024.17397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/18/2024] Open
Abstract
Importance Many studies have reported that the interpregnancy interval (IPI) is a potential modifiable risk factor for adverse perinatal outcomes. However, the association between IPI after live birth and subsequent spontaneous abortion (SA) is unclear. Objective To investigate the association of IPI after a healthy live birth and subsequent SA. Design, Setting, and Participants This prospective cohort study used data from 180 921 women aged 20 to 49 years who had a single healthy live birth and planned for another pregnancy and who participated in the Chinese National Free Prepregnancy Checkups Project from January 1, 2010, to December 31, 2020. Statistical analysis was conducted from June 20 to October 5, 2023. Exposure Interpregnancy interval, defined as the interval between the delivery date and conception of the subsequent pregnancy, was categorized as follows: less than 18 months, 18 to 23 months, 24 to 35 months, 36 to 59 months, and 60 months or longer. Main Outcomes and Measures The main outcome was SA. Multivariable-adjusted odds ratios (ORs) were calculated by logistic regression models to examine the association between IPI and the risk of SA. Dose-response associations were evaluated by restricted cubic splines. Results The analyses included 180 921 multiparous women (mean [SD] age at current pregnancy, 26.3 [2.8] years); 4380 SA events (2.4% of all participants) were recorded. A J-shaped association between IPI levels and SA was identified. In the fully adjusted model, compared with IPIs of 18 to 23 months, both short (<18 months) and long (≥36 months) IPIs showed an increased risk of SA (IPIs of <18 months: OR, 1.15 [95% CI, 1.04-1.27]; IPIs of 36-59 months: OR, 1.28 [95% CI, 1.15-1.43]; IPIs of ≥60 months: OR, 2.13 [95% CI, 1.78-2.56]). Results of the subgroup analysis by mode of previous delivery were consistent with the main analysis. Conclusions and Relevance This cohort study of multiparous women suggests that an IPI of shorter than 18 months or an IPI of 36 months or longer after a healthy live birth was associated with an increased risk of subsequent SA. The findings are valuable to make a rational prepregnancy plan and may facilitate the prevention of SA and improvement in neonatal outcomes.
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Affiliation(s)
- Xuan Hu
- National Research Institute for Family Planning, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
- National Human Genetic Resources Center, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Long Wang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China
| | - Chuanyu Zhao
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Xinyi Lyu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Meiya Liu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Hanbin Wu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Jueming Lei
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Jiaxin Li
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Mengxin Yao
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Yaling Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Hongguang Zhang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Yuan He
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Yuanyuan Wang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Zuoqi Peng
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Haiping Shen
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Jieyun Yin
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Soochow University, Jiangsu, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Xu Ma
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
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de Castro KR, Almeida GHDR, Matsuda M, de Paula Vieira R, Martins MG, Rici REG, Saldiva PHN, Veras MM. Exposure to urban ambient particles (PM2.5) before pregnancy affects the expression of endometrial receptive markers to embryo implantation in mice: Preliminary results. Tissue Cell 2024; 88:102368. [PMID: 38583225 DOI: 10.1016/j.tice.2024.102368] [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: 12/29/2023] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/09/2024]
Abstract
Air pollution (AP) is one of the main recent concerns in reproductive healthy due to its potential to promote negative outcomes during pregnancy and male and female fertility. Several studies have demonstrated that AP exposure has been linked to increased embryonic implantation failures, alterations in embryonic, fetal and placental development. For a well-succeeded implantation, both competent blastocyst and receptive endometrium are required. Based on the lack of data about the effect of AP in endometrial receptivity, this study aimed to evaluate he particulate matter (PM) exposure impact on uterine receptive markers in mice and associate the alterations to increased implantation failures due to AP. For this study, ten dams per group were exposed for 39 days to either filter (F) or polluted air (CAP). At fourth gestational day (GD4), females were euthanized. Morphological, ultrastructural, immunohistochemical and molecular analysis of uterine and ovarian samples were performed. CAP-exposed females presented a reduced number of corpus luteum; glands and epithelial cells were increased with pinopodes formation impairment. Immunohistochemistry analysis revealed decreased LIF protein levels. These preliminary data suggests that PM exposure may exert negative effects on endometrial receptivity by affecting crucial parameters to embryonic implantation as uterine morphological differentiation, corpus luteum quantity and LIF expression during implantation window.
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Affiliation(s)
- Karla Ribeiro de Castro
- Laboratory of Experimental Air Pollution (LIM05), Department of Pathology, School of Medicine, University of São Paulo, São Paulo, São Paulo State, Brazil
| | | | - Monique Matsuda
- Division of Ophthalmology and Laboratory of Investigation in Ophthalmology (LIM33), School of Medicine, University of São Paulo, São Paulo State, Brazil
| | - Rodolfo de Paula Vieira
- Human Movement and Rehabilitation Post-Graduation Program, Evangelical University of Goiás -UniEVANGÉLICA, Anápolis, GO, Brazil
| | - Marco Garcia Martins
- Laboratory of Experimental Air Pollution (LIM05), Department of Pathology, School of Medicine, University of São Paulo, São Paulo, São Paulo State, Brazil
| | - Rose Eli Grassi Rici
- Department of Surgery, Faculty of the Veterinary Medicine and Animal Science, University of São Paulo, São Paulo State, Brazil; Postgraduate Program in Structural and Functional Interactions in Rehabilitation, University of Marilia (UNIMAR), Marilia, São Paulo, Brazil
| | - Paulo Hilário Nascimento Saldiva
- Laboratory of Experimental Air Pollution (LIM05), Department of Pathology, School of Medicine, University of São Paulo, São Paulo, São Paulo State, Brazil
| | - Mariana Matera Veras
- Laboratory of Experimental Air Pollution (LIM05), Department of Pathology, School of Medicine, University of São Paulo, São Paulo, São Paulo State, Brazil.
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Trees IR, Saha A, Putnick DL, Clayton PK, Mendola P, Bell EM, Sundaram R, Yeung EH. Prenatal exposure to air pollutant mixtures and birthweight in the upstate KIDS cohort. ENVIRONMENT INTERNATIONAL 2024; 187:108692. [PMID: 38677086 DOI: 10.1016/j.envint.2024.108692] [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: 12/13/2023] [Revised: 04/02/2024] [Accepted: 04/23/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Single-pollutant models have linked prenatal PM2.5 exposure to lower birthweight. However, analyzing air pollutant mixtures better captures pollutant interactions and total effects. Unfortunately, strong correlations between pollutants restrict traditional methods. OBJECTIVES We explored the association between exposure to a mixture of air pollutants during different gestational age windows of pregnancy and birthweight. METHODS We included 4,635 mother-infant dyads from a New York State birth cohort born 2008-2010. Air pollution data were sourced from the EPA's Community Multiscale Air Quality model and matched to the census tract centroid of each maternal home address. Birthweight and gestational age were extracted from vital records. We applied linear regression to study the association between prenatal exposure to PM2.5, PM10, NOX, SO2, and CO and birthweight during six sensitive windows. We then utilized Bayesian kernel machine regression to examine the non-linear effects and interactions within this five-pollutant mixture. Final models adjusted for maternal socio-demographics, infant characteristics, and seasonality. RESULTS Single-pollutant linear regression models indicated that most pollutants were associated with a decrement in birthweight, specifically during the two-week window before birth. An interquartile range increase in PM2.5 exposure (IQR: 3.3 µg/m3) from the median during this window correlated with a 34 g decrement in birthweight (95 % CI: -54, -14), followed by SO2 (IQR: 2.0 ppb; β: -31), PM10 (IQR: 4.6 µg/m3; β: -29), CO (IQR: 60.8 ppb; β: -27), and NOX (IQR: 7.9 ppb; β: -26). Multi-pollutant BKMR models revealed that PM2.5, NOX, and CO exposure were negatively and non-linearly linked with birthweight. As the five-pollutant mixture increased, birthweight decreased until the median level of exposure. DISCUSSION Prenatal exposure to air pollutants, notably PM2.5, during the final two weeks of pregnancy may negatively impact birthweight. The non-linear relationships between air pollution and birthweight highlight the importance of studying pollutant mixtures and their interactions.
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Affiliation(s)
- Ian R Trees
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Abhisek Saha
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Diane L Putnick
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Priscilla K Clayton
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Pauline Mendola
- Department of Epidemiology and Environmental Health, University at Buffalo, United States
| | - Erin M Bell
- Department of Environmental Health Sciences, University at Albany School of Public Health, United States
| | - Rajeshwari Sundaram
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States.
| | - Edwina H Yeung
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States.
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Wesselink AK, Kirwa K, Hystad P, Kaufman JD, Szpiro AA, Willis MD, Savitz DA, Levy JI, Rothman KJ, Mikkelsen EM, Laursen ASD, Hatch EE, Wise LA. Ambient air pollution and rate of spontaneous abortion. ENVIRONMENTAL RESEARCH 2024; 246:118067. [PMID: 38157969 PMCID: PMC10947860 DOI: 10.1016/j.envres.2023.118067] [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: 09/06/2023] [Revised: 12/14/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
Spontaneous abortion (SAB), defined as a pregnancy loss before 20 weeks of gestation, affects up to 30% of conceptions, yet few modifiable risk factors have been identified. We estimated the effect of ambient air pollution exposure on SAB incidence in Pregnancy Study Online (PRESTO), a preconception cohort study of North American couples who were trying to conceive. Participants completed questionnaires at baseline, every 8 weeks during preconception follow-up, and in early and late pregnancy. We analyzed data on 4643 United States (U.S.) participants and 851 Canadian participants who enrolled during 2013-2019 and conceived during 12 months of follow-up. We used country-specific national spatiotemporal models to estimate concentrations of particulate matter <2.5 μm (PM2.5), nitrogen dioxide (NO2), and ozone (O3) during the preconception and prenatal periods at each participant's residential address. On follow-up and pregnancy questionnaires, participants reported information on pregnancy status, including SAB incidence and timing. We fit Cox proportional hazards regression models with gestational weeks as the time scale to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of time-varying prenatal concentrations of PM2.5, NO2, and O3 with rate of SAB, adjusting for individual- and neighborhood-level factors. Nineteen percent of pregnancies ended in SAB. Greater PM2.5 concentrations were associated with a higher incidence of SAB in Canada, but not in the U.S. (HRs for a 5 μg/m3 increase = 1.29, 95% CI: 0.99, 1.68 and 0.94, 95% CI: 0.83, 1.08, respectively). NO2 and O3 concentrations were not appreciably associated with SAB incidence. Results did not vary substantially by gestational weeks or season at risk. In summary, we found little evidence for an effect of residential ambient PM2.5, NO2, and O3 concentrations on SAB incidence in the U.S., but a moderate positive association of PM2.5 with SAB incidence in Canada.
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Affiliation(s)
- Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, USA.
| | - Kipruto Kirwa
- Department of Environmental Health, Boston University School of Public Health, USA
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, USA
| | - Joel D Kaufman
- Departments of Environmental and Occupational Health Sciences, Epidemiology, and Medicine, University of Washington School of Public Health, USA
| | - Adam A Szpiro
- Department of Biostatistics, University of Washington School of Public Health, USA
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, USA
| | - David A Savitz
- Department of Epidemiology, Brown University School of Public Health, USA
| | - Jonathan I Levy
- Department of Environmental Health, Boston University School of Public Health, USA
| | - Kenneth J Rothman
- Department of Epidemiology, Boston University School of Public Health, USA
| | - Ellen M Mikkelsen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Denmark
| | - Anne Sofie Dam Laursen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Denmark
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, USA
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6
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He H, Wan N, Li Z, Zhang Z, Gao Z, Liu Q, Ma X, Zhang Y, Li R, Fu X, Qiu W. Short-term effects of exposure to ambient PM 2.5 and its components on hospital admissions for threatened and spontaneous abortions: A multicity case-crossover study in China. CHEMOSPHERE 2024; 350:141057. [PMID: 38158083 DOI: 10.1016/j.chemosphere.2023.141057] [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: 09/18/2023] [Revised: 12/09/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The adverse effects of short-term exposure to PM2.5 and its components on hospital admissions for threatened and spontaneous abortions (TSAB) are still controversial. METHODS Data on daily hospitalizations for TSAB and PM2.5 and its components, including sulfate (SO42-), nitrate (NO3-), ammonium salt (NH4+), organic matter (OM), and black carbon (BC), were collected from January 2015 to December 2021 (total 2,557 days) in five cities in China. Case-crossover analyses were conducted to investigate the short-term associations between PM2.5 and its components and TSAB. Additionally, the modification effects by age (<35 and ≥35 years), season (cold and warm seasons), and the "Three-Year Action Plan to Win the Blue Sky Defense War" (before and after implementation) on the above associations were further conducted. RESULTS For each 10 μg/m3 (1 μg/m3 for BC) increase, the strongest relative risks (95% confidence intervals) of hospitalization for TSAB were 1.011 (1.001-1.021) for PM2.5 in lag02, 1.060 (1.003-1.120) for SO42- in lag02, 1.035 (1.000-1.070) for NO3- in lag02, 1.065 (1.009-1.124) for NH4+ in lag02, 1.047 (1.008-1.088) for OM in lag01 and 1.029 (1.005-1.054) for BC in lag02 (all P <0.05). Furthermore, significant modifying effects of age and the Action Plan were found. The effects of NO3- (lag2), NH4+ (lag2), and BC (lag2) were more pronounced in mothers aged ≥35 years and the effects of PM2.5 (lag4), NO3- (lag4), NH4+ (lag4), OM (lag4), and BC (lag4) was more pronounced in the period before the Action Plan was implemented (all P modification <0.05). CONCLUSION Short-term exposure to ambient PM2.5 and its components (SO42-, NO3-, NH4+, OM, and BC) was related to increased risks of hospitalization for TSAB. The effects were more pronounced in mothers aged ≥35 years and the period before the Action Plan.
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Affiliation(s)
- Heng He
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Na Wan
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Zhenzhen Li
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Zihan Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Zesen Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Qingdan Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Xiaolei Ma
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Yuqing Zhang
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Rongxiang Li
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Xiuhong Fu
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Weihong Qiu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China.
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Fang L, Ma C, Ma Y, Zhao H, Peng Y, Wang G, Chen Y, Zhang T, Xu S, Cai G, Cao Y, Pan F. Associations of long-term exposure to air pollution and green space with reproductive hormones among women undergoing assisted reproductive technology: A longitudinal study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:166941. [PMID: 37716676 DOI: 10.1016/j.scitotenv.2023.166941] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 09/18/2023]
Abstract
Studies investigating the association between long-term exposure to air pollution (AP)/green space and female reproductive hormones are still limited. Furthermore, their interactive effects remain unclear. Our study sought to explore the separate and interactive impacts of AP/green space on reproductive hormones among women undergoing assisted reproductive technology. We measured estradiol (E2), progesterone (P), testosterone (T), and follicle-stimulating hormone (FSH) from the longitudinal assisted reproduction cohort in Anhui, China. The annual mean concentrations of air pollutants were calculated at the residential level. Normalized Difference Vegetation Index (NDVI) within 500-m represented green space exposure. To assess the effect of AP/green space on hormones, we employed multivariable linear mixed-effect models. Our results showed that each one-interquartile range (IQR) increment in particulate matter (PM2.5 and PM10) and sulfur dioxide (SO2) was associated with -0.03[-0.05, -0.01], -0.03[-0.05, -0.02], and -0.03[-0.05, -0.01] decrease in P. An IQR increase in PM2.5, PM10, SO2, and carbon monoxide (CO) was associated with a -0.16[-0.17, -0.15], -0.15[-0.16, -0.14], -0.15[-0.16, -0.14], and -0.12[-0.13, -0.11] decrease in T and a -0.31[-0.35, -0.27], -0.30[-0.34, -0.26], -0.26[-0.30, -0.22], and -0.21[-0.25, -0.17] decrease in FSH. Conversely, NDVI500-m was associated with higher levels of P, T, and FSH, with β of 0.05[0.02, 0.08], 0.06[0.04, 0.08], and 0.07[0.00, 0.14]. Moreover, we observed the "U" or "J" exposure-response curves between PM2.5, PM10, and SO2 concentrations and E2 and P levels, as well as "inverted-J" curves between NDVI500-m and T and FSH levels. Furthermore, we found statistically significant interactions of SO2 and NDVI500-m on E2 and P as well as CO and NDVI500-m on E2. These findings indicated that green space might mitigate the negative effects of SO2 on E2 and P, as well as the effect of CO on E2. Future research is needed to determine these findings and underlying mechanisms.
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Affiliation(s)
- Lanlan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Cong Ma
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Hui Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yongzheng Peng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Guosheng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yuting Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Tao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Shanshan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Guoqi Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yunxia Cao
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China.
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China.
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Aguilera J, Konvinse K, Lee A, Maecker H, Prunicki M, Mahalingaiah S, Sampath V, Utz PJ, Yang E, Nadeau KC. Air pollution and pregnancy. Semin Perinatol 2023; 47:151838. [PMID: 37858459 PMCID: PMC10843016 DOI: 10.1016/j.semperi.2023.151838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Increased fossil fuel usage and extreme climate change events have led to global increases in greenhouse gases and particulate matter with 99% of the world's population now breathing polluted air that exceeds the World Health Organization's recommended limits. Pregnant women and neonates with exposure to high levels of air pollutants are at increased risk of adverse health outcomes such as maternal hypertensive disorders, postpartum depression, placental abruption, low birth weight, preterm birth, infant mortality, and adverse lung and respiratory effects. While the exact mechanism by which air pollution exerts adverse health effects is unknown, oxidative stress as well as epigenetic and immune mechanisms are thought to play roles. Comprehensive, global efforts are urgently required to tackle the health challenges posed by air pollution through policies and action for reducing air pollution as well as finding ways to protect the health of vulnerable populations in the face of increasing air pollution.
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Affiliation(s)
- Juan Aguilera
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Houston, School of Public Health, El Paso, Texas
| | | | - Alexandra Lee
- Sean N. Parker Center for Allergy and Asthma Research at Stanford University, Stanford University, Palo Alto, CA
| | - Holden Maecker
- Institute for Immunity, Transplantation, and Infection, School of Medicine, Stanford University, Stanford, CA
| | - Mary Prunicki
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA
| | - Shruthi Mahalingaiah
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA; Division of Reproductive Endocrinology and Infertility, Department of OB/GYN, Massachusetts General Hospital, Boston, MA
| | - Vanitha Sampath
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA
| | - Paul J Utz
- Department of Medicine, Stanford University, Palo Alto, CA
| | - Emily Yang
- Department of Medicine, Stanford University, Palo Alto, CA
| | - Kari C Nadeau
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA.
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Abstract
In this guideline, recurrent miscarriage has been defined as three or more first trimester miscarriages. However, clinicians are encouraged to use their clinical discretion to recommend extensive evaluation after two first trimester miscarriages, if there is a suspicion that the miscarriages are of pathological and not of sporadic nature. Women with recurrent miscarriage should be offered testing for acquired thrombophilia, particularly for lupus anticoagulant and anticardiolipin antibodies, prior to pregnancy. [Grade C] Women with second trimester miscarriage may be offered testing for Factor V Leiden, prothrombin gene mutation and protein S deficiency, ideally within a research context. [Grade C] Inherited thrombophilias have a weak association with recurrent miscarriage. Routine testing for protein C, antithrombin deficiency and methylenetetrahydrofolate reductase mutation is not recommended. [Grade C] Cytogenetic analysis should be offered on pregnancy tissue of the third and subsequent miscarriage(s) and in any second trimester miscarriage. [Grade D] Parental peripheral blood karyotyping should be offered for couples in whom testing of pregnancy tissue reports an unbalanced structural chromosomal abnormality [Grade D] or there is unsuccessful or no pregnancy tissue available for testing. [GPP] Women with recurrent miscarriage should be offered assessment for congenital uterine anomalies, ideally with 3D ultrasound. [Grade B] Women with recurrent miscarriage should be offered thyroid function tests and assessment for thyroid peroxidase (TPO) antibodies. [Grade C] Women with recurrent miscarriage should not be routinely offered immunological screening (such as HLA, cytokine and natural killer cell tests), infection screening or sperm DNA testing outside a research context. [Grade C] Women with recurrent miscarriage should be advised to maintain a BMI between 19 and 25 kg/m2 , smoking cessation, limit alcohol consumption and limit caffeine to less than 200 mg/day. [Grade D] For women diagnosed with antiphospholipid syndrome, aspirin and heparin should be offered from a positive test until at least 34 weeks of gestation, following discussion of potential benefits versus risks. [Grade B] Aspirin and/or heparin should not be given to women with unexplained recurrent miscarriage. [Grade B] There are currently insufficient data to support the routine use of PGT-A for couples with unexplained recurrent miscarriage, while the treatment may carry a significant cost and potential risk. [Grade C] Resection of a uterine septum should be considered for women with recurrent first or second trimester miscarriage, ideally within an appropriate audit or research context. [Grade C] Thyroxine supplementation is not routinely recommended for euthyroid women with TPO who have a history of miscarriage. [Grade A] Progestogen supplementation should be considered in women with recurrent miscarriage who present with bleeding in early pregnancy (for example 400 mg micronised vaginal progesterone twice daily at the time of bleeding until 16 weeks of gestation). [Grade B] Women with unexplained recurrent miscarriage should be offered supportive care, ideally in the setting of a dedicated recurrent miscarriage clinic. [Grade C].
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Jiang Z, Chen J, Feng L, Jin M, Liu S, Wang L, Wang J, Yu C, Zhou J, Ye Y, Mei L, Yu W, Zhang X, Lou J. Associations between maternal occupational exposures and pregnancy outcomes among Chinese nurses: a nationwide study. Reprod Health 2023; 20:161. [PMID: 37907929 PMCID: PMC10617240 DOI: 10.1186/s12978-023-01704-x] [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: 03/06/2023] [Accepted: 10/17/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND Several studies have provided evidence about adverse pregnancy outcomes of nurses involved in occupational exposure. However, the pregnancy outcomes among nurses in middle-income countries are not well demonstrated. The main aim of this study is to present the prevalence and influencing factors of pregnancy outcomes among female nurses in China. METHODS We included 2243 non-nurse health care workers, and 4230 nurses in this national cross-sectional study in China. Information on occupational exposures and pregnancy outcomes was collected using a face-to-face investigation. Odds ratios (ORs) were estimated through logistic regression. RESULTS The proportion of threatened abortion, spontaneous abortion, and stillbirth of female nurses was 2.6%, 7%, and 2.1%, respectively. We found an increased risk of threatened abortion among nurses with overtime work (OR = 1.719, 95% CI 1.158-2.550). The risk of threatened abortion and spontaneous abortion was elevated among nurses handling disinfectant (OR = 2.293 and 1.63, respectively). We found a nearly twofold increased risk of premature birth (OR = 2.169, 95% CI 1.36-3.459) among nurses handling anti-cancer drugs. CONCLUSIONS Our findings suggested that maternal occupational exposures might be associated with the risk of adverse pregnancy outcomes among female nurses in China. We recommend that policy-markers and hospital managers work together to reduce exposure to occupational hazards and improve pregnancy outcomes among female nurses.
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Affiliation(s)
- Zhaoqiang Jiang
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou, 310013, China
| | - Junfei Chen
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou, 310013, China
| | - Lingfang Feng
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou, 310013, China
| | - Mingying Jin
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou, 310013, China
| | - Shuang Liu
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou, 310013, China
| | - Lina Wang
- School of Medicine, The First Affiliated Hospital, Huzhou University, Huzhou, Zhejiang Province, China
| | - Jing Wang
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou, 310013, China
| | - Changyan Yu
- Chinese Center for Disease Control and Prevention, National Institute of Occupational Health and Poison Control, Beijing, China
| | - Jianhong Zhou
- Department of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Xueshi Road, Hangzhou, 310006, China.
| | - Yan Ye
- Department of Occupational Health, Beijing Center for Diseases Prevention and Control, Beijing, China
| | - Liangying Mei
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Wenlan Yu
- Chinese Center for Disease Control and Prevention, National Institute of Occupational Health and Poison Control, Beijing, China
| | - Xing Zhang
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou, 310013, China
| | - Jianlin Lou
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou, 310013, China.
- School of Medicine, The First Affiliated Hospital, Huzhou University, Huzhou, Zhejiang Province, China.
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11
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Xue T, Li J, Tong M, Fan X, Li P, Wang R, Li Y, Zheng Y, Li J, Guan T, Zhu T. Stillbirths attributable to open fires and their geographic disparities in non-Western countries. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 334:122170. [PMID: 37451590 DOI: 10.1016/j.envpol.2023.122170] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 07/06/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
Due to global warming, an increased number of open fires is becoming a major contributor to PM2.5 pollution and thus a threat to public health. However, the burden of stillbirths attributable to fire-sourced PM2.5 is unknown. In low- and middle-income countries (LMICs), there is a co-occurrence of high baseline stillbirth rates and frequent firestorms, which may lead to a geographic disparity. Across 54 LMICs, we conducted a self-matched case-control study, making stillbirths comparable to the corresponding livebirths in terms of time-invariant characteristics (e.g., genetics) and duration of gestational exposure. We established a joint-exposure-response function (JERF) by simultaneously associating stillbirth with fire- and non-fire-sourced PM2.5 concentrations, which were estimated by fusing multi-source data, such as chemical transport model simulations and satellite observations. During 2000-2014, 35,590 pregnancies were selected from multiple Demographic and Health Surveys. In each mother, a case of stillbirth was compared to her livebirth(s) based on gestational exposure to fire-sourced PM2.5. We further applied the JERF to assess stillbirths attributable to fire-sourced PM2.5 in 136 non-Western countries. The disparity was evaluated using the Gini index. The risk of stillbirth increased by 17.4% (95% confidence interval [CI]: 1.6-35.7%) per 10 μg/m3 increase in fire-sourced PM2.5. In 2014, referring to a minimum-risk exposure level of 10 μg/m3, total and fire-sourced PM2.5 contributed to 922,860 (95% CI: 578,451-1,183,720) and 49,951 (95% CI: 3,634-92,629) stillbirths, of which 10% were clustered within the 6.4% and 0.6% highest-exposure pregnancies, respectively. The Gini index of stillbirths attributable to fire-sourced PM2.5 was 0.65, much higher than for total PM2.5 (0.28). Protecting pregnant women against PM2.5 exposure during wildfires is critical to avoid stillbirths, as the burden of fire-associated stillbirths leads to a geographic disparity in maternal health.
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Affiliation(s)
- Tao Xue
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China.
| | - Jiajianghui Li
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China.
| | - Mingkun Tong
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China.
| | - Xinguang Fan
- Department of Sociology, Peking University, Beijing, China.
| | - Pengfei Li
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang, China; National Institute of Health Data Science, Peking University, Beijing, China.
| | - Ruohan Wang
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China.
| | - Yanshun Li
- Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
| | - Yixuan Zheng
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing, China.
| | - Jiwei Li
- School of Computer Science, Zhejiang University, Hangzhou, China.
| | - Tianjia Guan
- Department of Health Policy, School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Tong Zhu
- College of Environmental Science and Engineering, Peking University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China.
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12
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Wu S, Zhang Y, Hao G, Chen X, Wu X, Ren H, Zhang Y, Fan Y, Du C, Bi X, Bai L, Tan J. Interaction of air pollution and meteorological factors on IVF outcomes: A multicenter study in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 259:115015. [PMID: 37201423 DOI: 10.1016/j.ecoenv.2023.115015] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 05/10/2023] [Accepted: 05/12/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Previous studies revealed associations between air-pollutant exposure and in vitro fertilization (IVF) outcomes. However, modification effects of air pollution on IVF outcomes by meteorological conditions remain elusive. METHODS This multicenter retrospective cohort study included 15,217 women from five northern Chinese cities during 2015-2020. Daily average concentrations of air pollutants (PM2.5, PM10, O3, NO2, SO2, and CO) and meteorological factors (temperature, relative humidity, wind speed, and sunshine duration) during different exposure windows were calculated as individual approximate exposure. Generalized estimating equations models and stratified analyses were conducted to assess the associations of air pollution and meteorological conditions with IVF outcomes and estimate potential interactions. RESULTS Positive associations of wind speed and sunshine duration with pregnancy outcomes were detected. In addition, we observed that embryo transfer in spring and summer had a higher likelihood to achieve a live birth compared with winter. Exposure to PM2.5, SO2, and O3 was adversely correlated with pregnancy outcomes in fresh IVF cycles, and the associations were modified by air temperature, relative humidity, and wind speed. The inverse associations of PM2.5 and SO2 exposure with biochemical pregnancy were stronger at lower temperatures and humidity. Negative associations of PM2.5 with clinical pregnancy were only significant at lower temperatures and wind speeds. Moreover, the effects of O3 on live birth were enhanced by higher wind speed. CONCLUSIONS Our results suggested that the associations between air-pollutant exposure and IVF outcomes were modified by meteorological conditions, especially temperature and wind speed. Women undergoing IVF treatment should be advised to reduce outdoor time when the air quality was poor, particularly at lower temperatures.
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Affiliation(s)
- Shanshan Wu
- Centre of Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, Liaoning 110022, PR China; Key Laboratory of Reproductive Dysfunction Disease and Fertility Remodeling of Liaoning Province, Shenyang, Liaoning 110022, PR China
| | - Yunshan Zhang
- Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin 300100, PR China
| | - Guimin Hao
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, PR China
| | - Xiujuan Chen
- Reproductive Medicine Centre, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia 010050, PR China
| | - Xueqing Wu
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi 030013, PR China
| | - Haiqin Ren
- Jinghua Hospital, Shenyang, Liaoning 110022, PR China
| | - Yinfeng Zhang
- Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin 300100, PR China
| | - Yanli Fan
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, PR China
| | - Chen Du
- Reproductive Medicine Centre, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia 010050, PR China
| | - Xingyu Bi
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi 030013, PR China
| | - Lina Bai
- Jinghua Hospital, Shenyang, Liaoning 110022, PR China
| | - Jichun Tan
- Centre of Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, Liaoning 110022, PR China; Key Laboratory of Reproductive Dysfunction Disease and Fertility Remodeling of Liaoning Province, Shenyang, Liaoning 110022, PR China.
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13
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Guo L, Lin H, Li H, Jin X, Zhao L, Li P, Xu N, Xu S, Fang J, Wu S, Liu Q. Exposure of ambient PM 2.5 during gametogenesis period affects the birth outcome: Results from the project ELEFANT. ENVIRONMENTAL RESEARCH 2023; 220:115204. [PMID: 36592810 DOI: 10.1016/j.envres.2022.115204] [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: 10/12/2022] [Revised: 12/02/2022] [Accepted: 12/30/2022] [Indexed: 06/17/2023]
Abstract
Various environmental and behavioural factors influence neonatal health. Gamete formation (gametogenesis) is a crucial period which affects embryo development and neonatal health and ambient air pollution exposure at this stage may lead to an adverse birth outcome. Previous epidemiological and toxicological research demonstrated a strong association between maternal ambient air pollution exposure and adverse birth outcomes. However, the joint exposure-outcome of paternal exposure (76 days before the last menstruation and 14 days after the last menstruation) and maternal exposure (14 days after the last menstruation) when exploring the mechanism of the influence of air pollutants on pregnancy outcome and neonatal health remains unexplored. Here, in the Project Environmental and LifEstyle FActors iN metabolic health throughout life-course Trajectories (ELEFANT), we collected the data of 10,960 singleton pregnant women with 24-42 completed gestational weeks and included them in this study. A multinominal logistic regression model was applied to investigate the association between adverse birth outcomes and ambient PM2.5 exposure levels during spermatogenesis and oogenesis. Results from the binary classification of ambient PM2.5 exposure showed that the risk of abnormal birthweight was significantly greater when ambient PM2.5 exposure was both higher during spermatogenesis and oogenesis, with RRs of 1.86 (95% CI: 1.02, 3.39). The risk of macrosomia (RR: 1.88 (95% CI: 1.13, 3.12)) increased significantly when ambient PM2.5 levels were higher during spermatogenesis. Primiparity and primigravity are more likely to be influenced by higher ambient PM2.5 levels during spermatogenesis. In conclusion, more attention should be paid to higher exposure level of ambient PM2.5 during spermatogenesis.
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Affiliation(s)
- Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, 300072, China
| | - Huishu Lin
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, 300072, China
| | - Hongyu Li
- Office for National Clinical Research Center for Geriatric Diseases, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, China
| | - Xiaobin Jin
- Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China
| | - Lei Zhao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, 300072, China
| | - Penghui Li
- Department of Environmental Science, School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Naiwei Xu
- Department of Operation Management, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Song Xu
- Department of Operation Management, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Junkai Fang
- Tianjin Healthcare Affair Center, Tianjin, 300041, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shanxi, China.
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China.
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Yan W, Xie M, Liu X, Han S, Xu J, Zhang G. Exposure-lag response of fine particulate matter on intrauterine fetal death: an analysis using a distributed lag non-linear model in Linxia Hui Autonomous Prefecture, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:45184-45194. [PMID: 36705830 DOI: 10.1007/s11356-023-25526-3] [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] [Received: 11/05/2022] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
The results of studies on intrauterine fetal death (IUFD) caused by exposure to fine particulate matter (PM2.5) during pregnancy are inconsistent. Further exploration of the dose-response relationship and exposure window is required. We aimed to provide a reference for policy formulation by estimating the exposure-lag relationship of PM2.5 on IUFD and looking for sensitive exposure windows. IUFD data was obtained from China Children Under 5 Death Surveillance Network in Linxia Hui Autonomous Prefecture from 2016 to 2020. Air pollution data and temperature data were obtained from ambient air monitoring stations and China Meteorological Data Network, respectively. The moving average is used to describe the trend and seasonality of PM2.5 exposure; the distributed lag non-linear model (DLNM) is used to estimate the exposure-lag effect; the sandwich estimators are used to correct the variance-covariance matrix; and the model selected by Akaike's Information Criterion (AIC) finally adjusts gender, temperature, and district. About 180,622 infants were enrolled in the study, including 952 IUFDs (5.27‰). The median of PM2.5 exposure is 34.08 μg/m3. There is an exposure-lag effect of PM2.5 on IUFD approximate to a wavy shape; the concentration with effect is 40-90 μg/m3; and the sensitive lag time is 1, 2, 3, 8, 9, and 10 months. The maximum RR value of the exposure-lag effect of PM2.5 on IUFD is 1.61 [95% CI 1.19, 2.19], in which the concentration of PM2.5 is 62 μg/m3, and the lag month is 9 months. In the case of less than 6 months lag, the maximum RR value of the exposure-lag effect of PM2.5 on IUFD is 1.43 [95% CI 1.24, 1.67], in which the concentration of PM2.5 is 73 μg/m3, and the lag month is 3 months. Exposure to PM2.5 concentrations above 40 μg/m3 may increase the risk of IUFD, especially in the first and third trimesters.
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Affiliation(s)
- Wenshan Yan
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Mingjun Xie
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Xinwei Liu
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Shiqiang Han
- Linxia Hui Autonomous Prefecture Maternal and Child Health Hospital, Linxia, 731100, People's Republic of China
| | - Juanjuan Xu
- Linxia Hui Autonomous Prefecture Maternal and Child Health Hospital, Linxia, 731100, People's Republic of China
| | - Gexiang Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China.
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15
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Yuan X, Liang F, Zhu J, Huang K, Dai L, Li X, Wang Y, Li Q, Lu X, Huang J, Liao L, Liu Y, Gu D, Liu H, Liu F. Maternal Exposure to PM 2.5 and the Risk of Congenital Heart Defects in 1.4 Million Births: A Nationwide Surveillance-Based Study. Circulation 2023; 147:565-574. [PMID: 36780386 PMCID: PMC9988362 DOI: 10.1161/circulationaha.122.061245] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 12/05/2022] [Indexed: 02/15/2023]
Abstract
BACKGROUND Evidence remains limited about the association of maternal exposure to ambient fine particulate matter (airborne particles with an aerodynamic diameter ≤2.5 µm [PM2.5]) with fetal congenital heart defects (CHDs) in highly polluted regions, and few studies have focused on preconception exposure. METHODS Using a nationwide surveillance-based case-control design in China, we examined the association between maternal exposure to PM2.5 during periconception (defined as 3 months before conception until 3 months into pregnancy) and risk of CHD in offspring. The study included 1 434 998 births involving 7335 CHDs from 2014 through 2017 on the basis of the National Population-Based Birth Defects Surveillance System, covering 30 provinces, municipalities, or municipal districts in China. We assigned maternal PM2.5 exposure during the periconception period to each participant using satellite-based PM2.5 concentrations at 1-km spatial resolution. Multilevel logistic regression models were used to calculate the multivariable-adjusted odds ratio and 95% CI for CHDs in offspring associated with maternal PM2.5 exposure, and the exposure-response association was investigated using restricted cubic spline analysis. Subgroup or sensitivity analyses were conducted to identify factors that may modify the association. RESULTS The average maternal exposure to PM2.5 levels across all participants was 56.51 μg/m3 (range, 10.95 to 182.13 μg/m3). For each 10 μg/m³ increase in maternal PM2.5 exposure, the risk of CHDs in offspring was increased by 2% (odds ratio, 1.02 [95% CI, 1.00 to 1.05]), and septal defect was the most influenced subtype (odds ratio, 1.04 [95% CI, 1.01 to 1.08]). The effect of PM2.5 on CHD risk was more pronounced during the preconception period. Mothers <35 years of age, those living in northern China, and those living in low-income areas were more susceptible to PM2.5 exposure than their counterparts (all P<0.05). PM2.5 exposure showed a linear association with total CHDs or specific CHD types. CONCLUSIONS High maternal PM2.5 exposure, especially during the preconception period, increases risk of certain types of CHD in offspring. These findings are useful for CHD prevention and highlight the public health benefits of improving air quality in China and other highly polluted regions.
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Affiliation(s)
- Xuelian Yuan
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Fengchao Liang
- Shenzhen Key Laboratory of Cardiovascular Health and
Precision Medicine, Southern University of Science and Technology, Shenzhen 518055,
China
- School of Public Health and Emergency Management, Southern
University of Science and Technology, Shenzhen 518055, China
| | - Jun Zhu
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
| | - Li Dai
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Xiaohong Li
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Yanping Wang
- National Office for Maternal and Child Health Surveillance
of China, West China Second University Hospital, Sichuan University, Chengdu,
Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
| | - Qi Li
- National Center for Birth Defects Monitoring of China, West
China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041,
China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
| | - Lihui Liao
- Department of Pediatric Neurology Nursing, West China
Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins
School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Dongfeng Gu
- Shenzhen Key Laboratory of Cardiovascular Health and
Precision Medicine, Southern University of Science and Technology, Shenzhen 518055,
China
- School of Public Health and Emergency Management, Southern
University of Science and Technology, Shenzhen 518055, China
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
- School of Medicine, Southern University of Science and
Technology, Shenzhen 510085, China
| | - Hanmin Liu
- Key Laboratory of Birth Defects and Related Diseases of
Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan
610041, China
- Department of Pediatrics, West China Second University
Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Sichuan Birth Defects Clinical Research Center, West China
Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- National Health Commission Key Laboratory of
Chronobiology, Sichuan University, Chengdu, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center
for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union
Medical College, Beijing 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese
Academy of Medical Sciences, Beijing 100037, China
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16
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You Q, Jiang Q, Shani I, Lou Y, Huang S, Wang S, Cao S. Miscarriage, stillbirth and the risk of diabetes in women: A systematic review and meta-analysis. Diabetes Res Clin Pract 2023; 195:110224. [PMID: 36539013 DOI: 10.1016/j.diabres.2022.110224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/21/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
AIMS Whether women with a history of miscarriage or stillbirth have an increased risk of diabetes is inconclusive. We aimed to systematically assess the association between them. METHODS We searched PubMed, Web of Science and Scopus through November 2022. Random-effect model for meta-analysis was applied to calculate pooled odds ratios and corresponding 95 % confidence intervals (CIs) when heterogeneity was > 40 %. RESULTS Thirteen cohort studies and eight case-control studies with a total of 529,990 participants were included. Women ever experiencing a miscarriage had a 1.15-fold risk of non-gestational diabetes (95% CI: 1.02-1.28) and a 1.62-fold risk of gestational diabetes (95% CI: 1.32-1.98) compared to those never experiencing a miscarriage. Of them, women with three or more miscarriages had a 1.99-fold risk of non-gestational diabetes (95% CI: 1.36-2.91). The risk of non-gestational diabetes among women ever experiencing a stillbirth was 1.21 times compared with those never experiencing a stillbirth (95% CI: 1.03-1.41). Pooled results did not support a stable association between stillbirth and gestational diabetes risk (odds ratio:1.91, 95% CI: 1.00-3.64). CONCLUSIONS A history of miscarriage or stillbirth was associated with an increased risk of diabetes in women. Future studies are needed to explore whether prediabetic metabolic conditions contribute to this association.
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Affiliation(s)
- Qiqi You
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Qingqing Jiang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Irakoze Shani
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yiling Lou
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Shen Huang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Shiqi Wang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Shiyi Cao
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
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17
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Chen WJ, Rector AM, Guxens M, Iniguez C, Swartz MD, Symanski E, Ibarluzea J, Ambros A, Estarlich M, Lertxundi A, Riano-Galán I, Sunyer J, Fernandez-Somoano A, Chauhan SP, Ish J, Whitworth KW. Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort. ENVIRONMENTAL RESEARCH 2023; 216:114628. [PMID: 36279916 PMCID: PMC9847009 DOI: 10.1016/j.envres.2022.114628] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 10/13/2022] [Accepted: 10/18/2022] [Indexed: 06/16/2023]
Abstract
While prior studies report associations between fine particulate matter (PM2.5) exposure and fetal growth, few have explored temporally refined susceptible windows of exposure. We included 2328 women from the Spanish INMA Project from 2003 to 2008. Longitudinal growth curves were constructed for each fetus using ultrasounds from 12, 20, and 34 gestational weeks. Z-scores representing growth trajectories of biparietal diameter, femur length, abdominal circumference (AC), and estimated fetal weight (EFW) during early (0-12 weeks), mid- (12-20 weeks), and late (20-34 weeks) pregnancy were calculated. A spatio-temporal random forest model with back-extrapolation provided weekly PM2.5 exposure estimates for each woman during her pregnancy. Distributed lag non-linear models were implemented within the Bayesian hierarchical framework to identify susceptible windows of exposure for each outcome and cumulative effects [βcum, 95% credible interval (CrI)] were aggregated across adjacent weeks. For comparison, general linear models evaluated associations between PM2.5 averaged across multi-week periods (i.e., weeks 1-11, 12-19, and 20-33) and fetal growth, mutually adjusted for exposure during each period. Results are presented as %change in z-scores per 5 μg/m3 in PM2.5, adjusted for covariates. Weeks 1-6 [βcum = -0.77%, 95%CrI (-1.07%, -0.47%)] were identified as a susceptible window of exposure for reduced late pregnancy EFW while weeks 29-33 were positively associated with this outcome [βcum = 0.42%, 95%CrI (0.20%, 0.64%)]. A similar pattern was observed for AC in late pregnancy. In linear regression models, PM2.5 exposure averaged across weeks 1-11 was associated with reduced late pregnancy EFW and AC; but, positive associations between PM2.5 and EFW or AC trajectories in late pregnancy were not observed. PM2.5 exposures during specific weeks may affect fetal growth differentially across pregnancy and such associations may be missed by averaging exposure across multi-week periods, highlighting the importance of temporally refined exposure estimates when studying the associations of air pollution with fetal growth.
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Affiliation(s)
- Wei-Jen Chen
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Alison M Rector
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA
| | - Monica Guxens
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; ISGlobal, Barcelona, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre (Erasmus MC), Rotterdam, the Netherlands
| | - Carmen Iniguez
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Statistics and Operational Research, Universitat de València, València, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, València, Spain
| | - Michael D Swartz
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA
| | - Elaine Symanski
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
| | - Jesús Ibarluzea
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastian, Spain; Faculty of Psychology, Universidad del País Vasco (UPV/EHU), San Sebastian, Spain
| | - Albert Ambros
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; ISGlobal, Barcelona, Spain
| | - Marisa Estarlich
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, València, Spain; Faculty of Nursing and Chiropody, Universitat de València, València, Spain
| | - Aitana Lertxundi
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain; Department of Preventive Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Isolina Riano-Galán
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Servicio de Pediatría, Endocrinología pediátrica, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain
| | - Jordi Sunyer
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; ISGlobal, Barcelona, Spain
| | - Ana Fernandez-Somoano
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; IUOPA-Área de Medicina Preventiva y Salud Pública, Departamento de Medicina, Universidad de Oviedo, Oviedo, Spain
| | - Suneet P Chauhan
- Department of Obstetrics, Gynecology and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Jennifer Ish
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Durham, NC, USA
| | - Kristina W Whitworth
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA.
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18
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Gutvirtz G, Sheiner E. Airway pollution and smoking in reproductive health. Best Pract Res Clin Obstet Gynaecol 2022; 85:81-93. [PMID: 36333255 DOI: 10.1016/j.bpobgyn.2022.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 09/04/2022] [Indexed: 12/14/2022]
Abstract
Environmental exposure refers to contact with chemical, biological, or physical substances found in air, water, food, or soil that may have a harmful effect on a person's health. Almost all of the global population (99%) breathe air that contains high levels of pollutants. Smoking is one of the most common forms of recreational drug use and is the leading preventable cause of morbidity and mortality worldwide. The small particles from either ambient (outdoor) pollution or cigarette smoke are inhaled to the lungs and quickly absorbed into the bloodstream. These substances can affect virtually every organ in our body and have been associated with various respiratory, cardiovascular, endocrine, and also reproductive morbidities, including decreased fertility, adverse pregnancy outcomes, and offspring long-term morbidity. This review summarizes the latest literature reporting the reproductive consequences of women exposed to ambient (outdoor) air pollution and cigarette smoking.
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Affiliation(s)
- Gil Gutvirtz
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Soroka University Medical Center (SUMC), Department of Obstetrics and Gynecology B, Beer-Sheva, Israel.
| | - Eyal Sheiner
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Soroka University Medical Center (SUMC), Department of Obstetrics and Gynecology B, Beer-Sheva, Israel
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19
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Chai J, Zhang J, Shi Y, Sun P, Wang Y, Zhou D, Dong W, Jiang L, Jia P. Spatiotemporal Patterns of Adverse Pregnancy Outcomes in Rural Areas of Henan, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15966. [PMID: 36498035 PMCID: PMC9736531 DOI: 10.3390/ijerph192315966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/01/2022] [Accepted: 11/08/2022] [Indexed: 06/17/2023]
Abstract
The spatial patterns of adverse pregnancy outcomes (APOs) are complex, vary by place, and remain not entirely clear. This study investigated spatiotemporal patterns of APOs in rural areas of Henan, China. We used data from 1,315,327 singleton pregnancies during 2013-2016 in rural areas of Henan, China, from the National Free Pre-pregnancy Checkup Program (NFPCP). A spatiotemporal analysis of APOs was conducted based on the time of conception and current address. Results of seasonality decomposed showed a slight decline in the incidence rate of APOs (12.93% to 11.27% in the compound trend) among the participants from 2013 to 2016 and also variation in annual periodicity (peaking in autumn at 12.66% and hitting bottom in spring at 11.16%). Spatial clusters of APOs were concentrated in an intersection band of northwestern to southeastern Henan Province (with a relative risk ratio ranging from 3.66 to 1.20), the northwestern and northern portion for temporal variation (having a trend in the cluster ranged from -6.25% to 83.93). This study provides an overall picture of APOs that presented downward trends over time, seasonal fluctuation, and clustered patterns across space and over time in Henan Province-the most populated province in China. The findings of this study warrant future studies to investigate underlying influential factors of spatial variation of APOs.
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Affiliation(s)
- Jian Chai
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China
| | - Yuanyuan Shi
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan 430072, China
| | - Panpan Sun
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China
| | - Yuhong Wang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China
| | - Dezhuan Zhou
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China
| | - Wei Dong
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China
| | - Lifang Jiang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China
| | - Peng Jia
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan 430072, China
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20
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Estimation of stillbirths attributable to ambient fine particles in 137 countries. Nat Commun 2022; 13:6950. [PMID: 36446772 PMCID: PMC9709081 DOI: 10.1038/s41467-022-34250-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 10/18/2022] [Indexed: 11/30/2022] Open
Abstract
Gestational exposure to ambient fine particles (PM2.5) increases the risk of stillbirth, but the related disease burden is unknown, particularly in low- and middle-income countries (LMICs). We combine state-of-the-art estimates on stillbirths, and multiple exposure-response functions obtained from previous meta-analyses or derived by a self-matched case-control study in 54 LMICs. 13,870 stillbirths and 32,449 livebirths are extracted from 113 geocoded surveys from the Demographic and Health Surveys. Each stillbirth is compared to livebirth(s) of the same mother using a conditional logit regression. We find that 10-µg/m3 increase of PM2.5 is associated with an 11.0% (95% confidence interval [CI] 6.4, 15.7) increase in the risk of stillbirth, and the association is significantly enhanced by maternal age. Based on age-specific nonlinear PM2.5-stillbirth curves, we evaluate the PM2.5-related stillbirths in 137 countries. In 2015, of 2.09 (95% CI: 1.98, 2.20) million stillbirths, 0.83 (0.54, 1.08) million or 39.7% (26.1, 50.8) are attributable to PM2.5 exposure exceeding the reference level of 10 μg/m3. In LMICs, preventing pregnant women from being exposed to PM2.5 can improve maternal health.
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21
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Zhou W, Ming X, Chen Q, Liu X, Yin P. The acute effect and lag effect analysis between exposures to ambient air pollutants and spontaneous abortion: a case-crossover study in China, 2017-2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:67380-67389. [PMID: 35522417 PMCID: PMC9492619 DOI: 10.1007/s11356-022-20379-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 04/18/2022] [Indexed: 05/17/2023]
Abstract
INTRODUCTION Recent studies demonstrated that living in areas with high ambient air pollution may have adverse effects on pregnancy outcomes, but few studies have investigated its association with spontaneous abortion. Further investigation is needed to explore the acute effect and lag effect of air pollutants exposure on spontaneous abortion. OBJECTIVE To investigate the acute effect and lag effect between exposure to ambient air pollutants and spontaneous abortion. METHODS Research data of spontaneous abortion were collected from the Chongqing Health Center for Women and Children (CQHCWC) in China. The daily ambient air pollution exposure measurements were estimated for each woman using inverse distance weighting from monitoring stations. A time-stratified, case-crossover design combined with distributed lag linear models was applied to assess the associations between spontaneous pregnancy loss and exposure to each of the air pollutants over lags 0-7 days, adjusted for temperature and relative humidity. RESULTS A total of 1399 women who experienced spontaneous pregnancy loss events from November 1, 2016, to September 30, 2019, were selected for this study. Maternal exposure to particulate matter 2.5 (PM2.5), particle matter 10 (PM10) nitrogen dioxide (NO2), and sulfur dioxide (SO2) exhibited a significant association with spontaneous abortion. For every 20 μg/m3 increase in PM2.5, PM10, NO2, and SO2, the RRs were 1.18 (95% CI: 1.06, 1.34), 1.12 (95% CI, 1.04-1.20), 1.15 (95% CI: 1.02, 1.30), and 1.92 (95% CI: 1.18, 3.11) on lag day 3, lag day 3, lag day 0, and lag day 3, respectively. In two-pollutant model combined with PM2.5 and PM10, a statistically significant increase in spontaneous abortion incidence of 18.0% (RR = 1.18, 95% CI: 1.06, 1.32) was found for a 20 μg/m3 increase in PM2.5 exposure, and 11.2% (RR = 1.11, 95% CI: 1.03, 1.20) for a 20 μg/m3 increase in PM10 exposure on lag day 3, similar to single-pollutant model analysis. CONCLUSION Maternal exposure to high levels of PM2.5, PM10, NO2, and SO2 during pregnancy may increase the risk of spontaneous abortion for acute effects and lag effects. Further research to explore sensitive exposure time windows is needed.
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Affiliation(s)
- Wenzheng Zhou
- Chongqing Health Center for Women and Children, Chongqing, 401147, China
| | - Xin Ming
- Chongqing Health Center for Women and Children, Chongqing, 401147, China
| | - Qing Chen
- Institute of Toxicology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Xiaoli Liu
- Chongqing Health Center for Women and Children, Chongqing, 401147, China.
| | - Ping Yin
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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22
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Outdoor Air Pollution and Pregnancy Loss: a Review of Recent Literature. CURR EPIDEMIOL REP 2022. [DOI: 10.1007/s40471-022-00304-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Abstract
Purpose of Review
This review summarizes recent literature about the impacts of outdoor air pollution on pregnancy loss (spontaneous abortion/miscarriage and stillbirth), identifies challenges and opportunities, and provides recommendations for actions.
Recent Findings
Both short- and long-term exposures to ubiquitous air pollutants, including fine particulate matter < 2.5 and < 10 μm, may increase pregnancy loss risk. Windows of susceptibility include the entire gestational period, especially early pregnancy, and the week before event. Vulnerable subpopulations were not consistently explored, but some evidence suggests that pregnant parents from more disadvantaged populations may be more impacted even at the same exposure level.
Summary
Given environmental conditions conductive to high air pollution exposures become more prevalent as the climate shifts, air pollution’s impacts on pregnancy is expected to become a growing public health concern. While awaiting larger preconception studies to further understand causal impacts, multi-disciplinary efforts to minimize exposures among pregnant women are warranted.
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23
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Zhu W, Gu Y, Li M, Zhang Z, Liu J, Mao Y, Zhu Q, Zhao L, Shen Y, Chen F, Xia L, He L, Du J. Integrated single-cell RNA-seq and DNA methylation reveal the effects of air pollution in patients with recurrent spontaneous abortion. Clin Epigenetics 2022; 14:105. [PMID: 35999615 PMCID: PMC9400245 DOI: 10.1186/s13148-022-01327-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/12/2022] [Indexed: 11/13/2022] Open
Abstract
Background Maternal air pollutants exposure is associated with a number of adverse pregnancy outcomes, including recurrent spontaneous abortion (RSA). However, the underlying mechanisms are still unknown. The present study aimed to understand the mechanism of RSA and its relationship with air pollution exposure. We compared data of decidual tissue from individuals with induced abortions and those with RSA by bulk RNA sequencing (RNA-seq), reduced representation bisulfite sequencing (RRBS), and single-cell RNA sequencing (scRNA-seq). Differentially expressed genes (DEGs) were verified using RT-qPCR and pyrosequencing. A logistic regression model was used to investigate the association between air pollutants exposure and RSA. Results We identified 98 DEGs with aberrant methylation by overlapping the RRBS and RNA-seq data. Nineteen immune cell subsets were identified. Compared with normal controls, NK cells and macrophages accounted for different proportions in the decidua of patients with RSA. We observed that the methylation and expression of IGF2BP1 were different between patients with RSA and controls. Furthermore, we observed significant positive associations between maternal air pollutants exposure during the year prior to pregnancy and in early pregnancy and the risk of RSA. Mediation analyses suggested that 24.5% of the effects of air pollution on the risk of RSA were mediated through IGF2BP1 methylation. Conclusion These findings reveal a comprehensive cellular and molecular mechanism of RSA and suggest that air pollution might cause pregnancy loss by affecting the methylation level of the IGF2BP1 promoter. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-022-01327-2.
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Affiliation(s)
- Weiqiang Zhu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Yan Gu
- Department of Gynecology and Obstetrics Outpatient, Second Hospital of Tianjin Medical University, Tianjin, China
| | - Min Li
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Zhaofeng Zhang
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Junwei Liu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Yanyan Mao
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Qianxi Zhu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Lin Zhao
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China.,Institutes of Biomedical Sciences, The State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, 200032, China
| | - Yupei Shen
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Fujia Chen
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Lingjin Xia
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Lin He
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jing Du
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China.
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Siegel EL, Ghassabian A, Hipwell AE, Factor-Litvak P, Zhu Y, Steinthal HG, Focella C, Battaglia L, Porucznik CA, Collingwood SC, Klein-Fedyshin M, Kahn LG. Indoor and outdoor air pollution and couple fecundability: a systematic review. Hum Reprod Update 2022; 29:45-70. [PMID: 35894871 PMCID: PMC9825271 DOI: 10.1093/humupd/dmac029] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 05/27/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Air pollution is both a sensory blight and a threat to human health. Inhaled environmental pollutants can be naturally occurring or human-made, and include traffic-related air pollution (TRAP), ozone, particulate matter (PM) and volatile organic compounds, among other substances, including those from secondhand smoking. Studies of air pollution on reproductive and endocrine systems have reported associations of TRAP, secondhand smoke (SHS), organic solvents and biomass fueled-cooking with adverse birth outcomes. While some evidence suggests that air pollution contributes to infertility, the extant literature is mixed, and varying effects of pollutants have been reported. OBJECTIVE AND RATIONALE Although some reviews have studied the association between common outdoor air pollutants and time to pregnancy (TTP), there are no comprehensive reviews that also include exposure to indoor inhaled pollutants, such as airborne occupational toxicants and SHS. The current systematic review summarizes the strength of evidence for associations of outdoor air pollution, SHS and indoor inhaled air pollution with couple fecundability and identifies gaps and limitations in the literature to inform policy decisions and future research. SEARCH METHODS We performed an electronic search of six databases for original research articles in English published since 1990 on TTP or fecundability and a number of chemicals in the context of air pollution, inhalation and aerosolization. Standardized forms for screening, data extraction and study quality were developed using DistillerSR software and completed in duplicate. We used the Newcastle-Ottawa Scale to assess risk of bias and devised additional quality metrics based on specific methodological features of both air pollution and fecundability studies. OUTCOMES The search returned 5200 articles, 4994 of which were excluded at the level of title and abstract screening. After full-text screening, 35 papers remained for data extraction and synthesis. An additional 3 papers were identified independently that fit criteria, and 5 papers involving multiple routes of exposure were removed, yielding 33 articles from 28 studies for analysis. There were 8 papers that examined outdoor air quality, while 6 papers examined SHS exposure and 19 papers examined indoor air quality. The results indicated an association between outdoor air pollution and reduced fecundability, including TRAP and specifically nitrogen oxides and PM with a diameter of ≤2.5 µm, as well as exposure to SHS and formaldehyde. However, exposure windows differed greatly between studies as did the method of exposure assessment. There was little evidence that exposure to volatile solvents is associated with reduced fecundability. WIDER IMPLICATIONS The evidence suggests that exposure to outdoor air pollutants, SHS and some occupational inhaled pollutants may reduce fecundability. Future studies of SHS should use indoor air monitors and biomarkers to improve exposure assessment. Air monitors that capture real-time exposure can provide valuable insight about the role of indoor air pollution and are helpful in assessing the short-term acute effects of pollutants on TTP.
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Affiliation(s)
- Eva L Siegel
- Columbia University, Mailman School of Public Health, New York, NY, USA
| | | | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Pam Factor-Litvak
- Columbia University, Mailman School of Public Health, New York, NY, USA
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | | | - Carolina Focella
- New York University Grossman School of Medicine, New York, NY, USA
| | - Lindsey Battaglia
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Linda G Kahn
- Correspondence address. E-mail: https://orcid.org/0000-0002-6512-6160
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Ammons S, Aja H, Ghazarian AA, Lai GY, Ellison GL. Perception of worry of harm from air pollution: results from the Health Information National Trends Survey (HINTS). BMC Public Health 2022; 22:1254. [PMID: 35752789 PMCID: PMC9233822 DOI: 10.1186/s12889-022-13450-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 05/17/2022] [Indexed: 11/28/2022] Open
Abstract
Background Air pollution exposure has been associated with a multitude of diseases and poses a significant concern to public health. For targeted environmental risk communication and interventions to be effective, it is important to correctly identify characteristics associated with worry of harm from air pollution. Methods Using responses from 3,630 participants of the Health Information National Trends Survey 4 Cycle 2, we assessed worry of harm from exposure to indoor (IAP) and outdoor (OAP) air pollution separately. Multinomial logistic regression models were used to calculate odds ratios and 95% confidence intervals. Results Hispanics were more likely to worry about harm from IAP and OAP compared to non-Hispanic whites. Participants who lived in metropolitan counties were more likely to worry about harm from IAP and OAP compared to those who lived in rural counties. Finally, those who believed their chance of getting cancer was high were more likely to worry about harm from IAP and OAP compared to those who thought their likelihood of getting cancer was low. Conclusions Worry of harm from IAP and OAP varied across sociodemographic and cancer-related characteristics. Public health professionals should consider these characteristics when developing targeted environmental risk communication and interventions. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13450-z.
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Affiliation(s)
- Samantha Ammons
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, MD, Bethesda, USA
| | - Hayley Aja
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, MD, Bethesda, USA.,Extramural Research Branch, Extramural Research and Partnerships Division, Office of Science Advisor, Policy, and Engagement, U.S. Environmental Protection Agency, Washington, DC, USA
| | - Armen A Ghazarian
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, MD, Bethesda, USA
| | - Gabriel Y Lai
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, MD, Bethesda, USA
| | - Gary L Ellison
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, MD, Bethesda, USA.
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Ambient Air Pollution Exposure Assessments in Fertility Studies: a Systematic Review and Guide for Reproductive Epidemiologists. CURR EPIDEMIOL REP 2022; 9:87-107. [DOI: 10.1007/s40471-022-00290-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Abstract
Purpose of Review
We reviewed the exposure assessments of ambient air pollution used in studies of fertility, fecundability, and pregnancy loss.
Recent Findings
Comprehensive literature searches were performed in the PUBMED, Web of Science, and Scopus databases. Of 168 total studies, 45 met the eligibility criteria and were included in the review. We find that 69% of fertility and pregnancy loss studies have used one-dimensional proximity models or surface monitor data, while only 35% have used the improved models, such as land-use regression models (4%), dispersion/chemical transport models (11%), or fusion models (20%). No published studies have used personal air monitors.
Summary
While air pollution exposure models have vastly improved over the past decade from a simple, one-dimensional distance or air monitor data to models that incorporate physiochemical properties leading to better predictive accuracy, precision, and increased spatiotemporal variability and resolution, the fertility literature has yet to fully incorporate these new methods. We provide descriptions of each of these air pollution exposure models and assess the strengths and limitations of each model, while summarizing the findings of the literature on ambient air pollution and fertility that apply each method.
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Zhang C, Yao N, Lu Y, Ni J, Liu X, Zhou J, Wang W, Zhang T, He Y, Huang J, Sun K, Sun Y. Ambient air pollution on fecundity and live birth in women undergoing assisted reproductive technology in the Yangtze River Delta of China. ENVIRONMENT INTERNATIONAL 2022; 162:107181. [PMID: 35303533 DOI: 10.1016/j.envint.2022.107181] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 03/02/2022] [Accepted: 03/09/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Ambient air pollution has adverse effects on the reproductive system. However, inconsistent conclusions were reached from different studies with regard to air pollutants and pregnancy outcomes, especially the livebirth rate in assisted reproductive technology (ART) in different windows of exposure. METHODS A retrospective cohort study was conducted on 12,665 women who underwent first fresh or frozen embryo transfer cycle in the Yangtze River Delta of China. Daily average levels of six air pollutants in four different periods were obtained: Period 1 and 2: 90 days or one year prior to oocyte retrieval; Period 3 and 4: the day of oocyte retrieval or one year prior to oocyte retrieval to the day of serum hCG test or to the end of the pregnancy. A multiple logistic regression model was used to investigate the association between air pollutant exposure and pregnancy outcomes. Stratified analyses were conducted to explore potential modifier effects. RESULTS The one year exposure window (Period 2) before oocyte retrieval had a more evident negative association with pregnancy outcomes. Each IQR increase in ambient PM10 (OR: 0.89, 95% CI: 0.84-0.93), PM2.5 (OR: 0.82, 95% CI: 0.77-0.87), SO2 (OR: 0.87, 95% CI: 0.83-0.91) and CO (OR: 0.91, 95% CI: 0.87-0.96) was associated with a respective 11%, 18%, 13% and 9% decrease in the likelihood of live birth. In entire exposure window of Period 4, all air pollutants except for O3 were associated with a decreased likelihood of live birth. Stratified analyses showed that women undergoing frozen embryo transfer cycles, especially those with two embryos transferred, were more vulnerable to air pollutant exposure. CONCLUSION This study indicates a negative association between air pollutant exposure before oocyte retrieval and livebirth rate in ART. The adverse impact was more evident in one year exposure compared to three-month refresh cycle of the gametes. Additional protection from air pollution should be undertaken at least one year before ART, particularly for those with frozen embryo transfer cycles.
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Affiliation(s)
- Chuyue Zhang
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, PR China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, PR China
| | - Ning Yao
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, PR China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, PR China
| | - Yao Lu
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, PR China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, PR China
| | - Jingyi Ni
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Xiaohui Liu
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Ji Zhou
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, PR China; Shanghai Typhoon Institute, CMA, Shanghai, PR China
| | - Wangsheng Wang
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, PR China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, PR China
| | - Ting Zhang
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, PR China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, PR China
| | - Yaqiong He
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, PR China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, PR China
| | - Jiaan Huang
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, PR China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, PR China
| | - Kang Sun
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, PR China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, PR China
| | - Yun Sun
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, PR China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, PR China.
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Lim GY, Jung NY, Jun KY, Kang JY, Kim MK, Lee HE, Kim MH, Song J, Kim I, Kim YM. Pregnancy loss and Income in the Republic of Korea using National Health Insurance Service Data, 2008-2014. BMC Public Health 2022; 22:188. [PMID: 35086510 PMCID: PMC8796511 DOI: 10.1186/s12889-022-12588-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 01/17/2022] [Indexed: 11/17/2022] Open
Abstract
Background Although unintentional pregnancy loss is common, national representative statistics are lacking in high-income East Asian countries undergoing rapid demographic changes. It is necessary to confirm the income inequality of pregnancy loss even in universal national health insurance. Method Using National Health Insurance Service data between 2008 and 2014, the annual prevalence of pregnancy loss was enumerated, and differences in pregnancy loss according to age and income levels were assessed by multivariable Poisson regression. Joint-point regression was used to examine the trend of pregnancy loss. Result On average, there was a 15.0% annual pregnancy loss among 3,941,020 pregnancy cases from 2008 to 2014. Pregnancy loss inequality increased stepwise with income levels except for the highest income group. After adjusting for income levels, the annual percent change of age-standardized prevalence significantly increased by 2.6% every year since 2011. Conclusion Even in high-income countries with universal national health insurance, income inequality in pregnancy loss is observed. Further appraisal is needed to explain the increasing trend of pregnancy loss between 2011 and 2014 even after adjusting income.
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Affiliation(s)
- Ga-Young Lim
- Department of Public Health, Hanyang University Graduate School, Seoul, South Korea.,Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Na Young Jung
- Incheon Communicable Diseases Center, Incheon, South Korea
| | - Kyo Yeon Jun
- Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency, Incheon, South Korea
| | - Ji Yeon Kang
- Korea National Enterprise for Clinical Trials, Seoul, South Korea
| | - Mi Kyung Kim
- Department of Public Health, Hanyang University Graduate School, Seoul, South Korea.,Department of Preventive Medicine, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea.,Hanyang University School of Public Health, Seoul, South Korea
| | - Hye-Eun Lee
- Korea Institute of Labor Safety and Health, Seoul, South Korea.,Department of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, South Korea
| | - Myoung-Hee Kim
- Research Institute of Public Health, National Medical Center, Seoul, South Korea
| | - Jaechul Song
- Department of Public Health, Hanyang University Graduate School, Seoul, South Korea.,Hanyang University School of Public Health, Seoul, South Korea.,Department of Occupational and Environmental Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Inah Kim
- Department of Public Health, Hanyang University Graduate School, Seoul, South Korea.,Hanyang University School of Public Health, Seoul, South Korea.,Department of Occupational and Environmental Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Yu-Mi Kim
- Department of Public Health, Hanyang University Graduate School, Seoul, South Korea. .,Department of Preventive Medicine, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea. .,Hanyang University School of Public Health, Seoul, South Korea.
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Zhu W, Zheng H, Liu J, Cai J, Wang G, Li Y, Shen H, Yang J, Wang X, Wu J, Nie J. The correlation between chronic exposure to particulate matter and spontaneous abortion: A meta-analysis. CHEMOSPHERE 2022; 286:131802. [PMID: 34426134 DOI: 10.1016/j.chemosphere.2021.131802] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 07/23/2021] [Accepted: 08/03/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Spontaneous abortion (SAB) brings serious physical and psychological sequelae to women and their families. Though a growing body of individual studies have suggested the possible linkage between chronic particulate matter (PM) exposure and risks of SAB, the provided results were rather contradictory. We therefore performed an evidence-based meta-analysis. METHODS We systematically searched the PubMed, EMBASE and Web of Science databases for available studies published before February 1, 2021 which reported associations between PM exposure and SAB. Corresponding models were applied to combine relative risks (RRs) and their confidence intervals (CIs) from eligible studies according to heterogeneity test. The GRADEpro app was used to evaluate the certainty of evidence. Sensitivity analyses and a publication bias assessment were also utilized to determine the stability of results. RESULTS Of the initial 2358 citations, 6 papers examining the chronic effects of PM exposure were deemed eligible and a total population of approximately 723,000 was observed. Pooled RR for SAB risks associated with a 10 μg/m3 increase in fine particulate matter (PM2.5) and particulate matter ≤ 10 μm in aerodynamic diameter (PM10) were 1.20 (95%CI: 1.01-1.40) and 1.09 (95%CI: 1.02-1.15), respectively. The GRADE results of PM2.5 and PM10 were both categorized as "moderate" certainty evidence. CONCLUSION Our findings revealed a significant increase of SAB hazards related with maternal PM exposure, and this study may therefore provide new evidence for personal protection to improve reproductive health.
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Affiliation(s)
- Wentao Zhu
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China
| | - Huiqiu Zheng
- Department of Child and Adolescent Health and Health Education, School of Public Health, Inner Mongolia Medical University, Hohhot, 010110, Inner Mongolia, China
| | - Jieyu Liu
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China
| | - Jiajie Cai
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China
| | - Gechao Wang
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China
| | - Yi Li
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China
| | - Haochong Shen
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China
| | - Jing Yang
- Department of Basic Medicine and Forensic Medicine, Baotou Medical College, Baotou, 014040, Inner Mongolia, China
| | - Xuemei Wang
- Department of Health Statistics, School of Public Health, Inner Mongolia Medical University, Hohhot, 010110, Inner Mongolia, China
| | - Jing Wu
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China.
| | - Jihua Nie
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China.
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Berman R, Rose CS, Downey GP, Day BJ, Chu HW. Role of Particulate Matter from Afghanistan and Iraq in Deployment-Related Lung Disease. Chem Res Toxicol 2021; 34:2408-2423. [PMID: 34808040 DOI: 10.1021/acs.chemrestox.1c00090] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Approximately 3 million United States military personnel and contractors were deployed to Southwest Asia and Afghanistan over the past two decades. After returning to the United States, many developed persistent respiratory symptoms, including those due to asthma, rhinosinusitis, bronchiolitis, and others, which we collectively refer to as deployment-related lung diseases (DRLD). The mechanisms of different DRLD have not been well defined. Limited studies from us and others suggest that multiple factors and biological signaling pathways contribute to the onset of DRLD. These include, but are not limited to, exposures to high levels of particulate matter (PM) from sandstorms, burn pit combustion products, improvised explosive devices, and diesel exhaust particles. Once inhaled, these hazardous substances can activate lung immune and structural cells to initiate numerous cell-signaling pathways such as oxidative stress, Toll-like receptors, and cytokine-driven cell injury (e.g., interleukin-33). These biological events may lead to a pro-inflammatory response and airway hyperresponsiveness. Additionally, exposures to PM and other environmental hazards may predispose military personnel and contractors to more severe disease due to the interactions of those hazardous materials with subsequent exposures to allergens and cigarette smoke. Understanding how airborne exposures during deployment contribute to DRLD may identify effective targets to alleviate respiratory diseases and improve quality of life in veterans and active duty military personnel.
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Affiliation(s)
- Reena Berman
- Department of Medicine, National Jewish Health, 1400 Jackson Street, Denver, Colorado 80206, United States
| | - Cecile S Rose
- Department of Medicine, National Jewish Health, 1400 Jackson Street, Denver, Colorado 80206, United States
| | - Gregory P Downey
- Department of Medicine, National Jewish Health, 1400 Jackson Street, Denver, Colorado 80206, United States
| | - Brian J Day
- Department of Medicine, National Jewish Health, 1400 Jackson Street, Denver, Colorado 80206, United States
| | - Hong Wei Chu
- Department of Medicine, National Jewish Health, 1400 Jackson Street, Denver, Colorado 80206, United States
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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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Liu J, Zhao M, Zhang H, Zhao J, Kong H, Zhou M, Guan Y, Li TC, Wang X, Chan DYL. Associations between ambient air pollution and IVF outcomes in a heavily polluted city in China. Reprod Biomed Online 2021; 44:49-62. [PMID: 34836814 DOI: 10.1016/j.rbmo.2021.09.026] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 09/16/2021] [Accepted: 09/21/2021] [Indexed: 10/20/2022]
Abstract
RESEARCH QUESTION Is air pollution related to IVF outcomes in a heavily polluted city in China? DESIGN A retrospective cohort study of 8628 fresh, autologous IVF cycles was conducted for the first time at the Reproductive Medicine Center of The Third Affiliated Hospital of Zhengzhou University between May 2014 and December 2018 (oocyte retrieval date). The exposure was divided into four periods (gonadotrophin injection to oocyte retrieval [P1], oocyte retrieval to embryo transfer [P2], 1 day after embryo transfer to embryo transfer +14 days [P3] and gonadotrophin injection to embryo transfer +14 days [P4]) and four levels (Q1-Q4 according to their 25th, 50th and 75th percentiles). RESULTS An interquartile range increase (Q2 versus Q1) in particulate matter ≤10 µm (PM10) during P3 and P4 and sulphur dioxide (SO2) during P3 significantly decreased the clinical pregnancy rate (adjusted odds ratio [aOR] 0.81, 95% confidence interval [CI] 0.71-0.92 for PM10 of P3; aOR 0.87, 95% CI 0.76-1.00 for PM10 of P4; aOR 0.82, 95% CI 0.73-0.93 for SO2 of P3). In addition, PM10 was associated with an increased biochemical pregnancy rate (Q3 versus Q1: aOR 1.55, 95% CI 1.09-2.19 for PM10 of P1) and decreased live birth rate (Q2 versus Q1: aOR 0.88, 95% CI 0.77-0.99 for PM10 of P3). The multivariate regression results were consistent with that of multiple treatments propensity score method (PSM) for SO2 pollutants in P3 and PM10 pollutants in P4. CONCLUSION From the early follicular stage to the pregnancy test period, high concentrations of PM10 and SO2 may have a negative impact on IVF treatment outcomes in the study area.
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Affiliation(s)
- Jing Liu
- Reproductive Medicine Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mingpeng Zhao
- Assisted Reproductive Technology Unit, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Haoyang Zhang
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China
| | - Junliang Zhao
- Reproductive Medicine Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hongjiao Kong
- Reproductive Medicine Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengge Zhou
- Reproductive Medicine Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yichun Guan
- Reproductive Medicine Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Tin Chiu Li
- Assisted Reproductive Technology Unit, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Xingling Wang
- Reproductive Medicine Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - David Yiu Leung Chan
- Assisted Reproductive Technology Unit, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
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Gaskins AJ, Tang Z, Hood RB, Ford J, Schwartz JD, Jones DP, Laden F, Liang D. Periconception air pollution, metabolomic biomarkers, and fertility among women undergoing assisted reproduction. ENVIRONMENT INTERNATIONAL 2021; 155:106666. [PMID: 34116378 PMCID: PMC8292230 DOI: 10.1016/j.envint.2021.106666] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/06/2021] [Accepted: 05/24/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Air pollution exposure has been linked with diminished fertility. Identifying the metabolic changes induced by periconception air pollution exposure among women could enhance our understanding of the potential biological pathways underlying air pollution's reproductive toxicity. OBJECTIVE To identify serum metabolites associated with periconception air pollution exposure and evaluate the extent to which these metabolites mediate the association between air pollution and live birth. METHODS We included 200 women undergoing a fresh assisted reproductive technology (ART) cycle at Massachusetts General Hospital Fertility Center (2005-2015). A serum sample was collected during stimulation, and untargeted metabolic profiling was conducted using liquid chromatography with ultra-high-resolution mass spectrometry. Exposure to nitrogen dioxide (NO2), ozone (O3), fine particulate matter <2.5 µm (PM2.5), and black carbon (BC) was estimated using validated spatiotemporal models. Multivariable linear regression models were used to evaluate the associations between the air pollutants, live birth, and metabolic feature intensities. A meet in the middle approach was used to identify overlapping features and metabolic pathways. RESULTS From the C18 and HILIC chromatography columns, 10,803 and 12,968 metabolic features were extracted. There were 190 metabolic features and 18 pathways that were significantly associated with both air pollution and live birth (P < 0.05) across chromatography columns. Eight features were confirmed metabolites implicated in amino acid and nutrient metabolism with downstream effects on oxidative stress and inflammation. Six confirmed metabolites fell into two intuitive clusters - "antioxidants" and "oxidants"- which could potentially mediate some of the association between air pollution and lower odds of live birth. Tryptophan and vitamin B3 metabolism were common pathways linking air pollution exposure to decreased probability of live birth. CONCLUSION Higher periconception air pollution exposure was associated with metabolites and biologic pathways involved in inflammation and oxidative stress that may mediate the observed associations with lower probability of live birth following ART.
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Affiliation(s)
- Audrey J Gaskins
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States.
| | - Ziyin Tang
- Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, United States
| | - Robert B Hood
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States
| | - Jennifer Ford
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Dean P Jones
- Division of Pulmonary, Allergy, & Critical Care Medicine, Emory University School of Medicine, Atlanta, GA, United States
| | - Francine Laden
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Donghai Liang
- Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, United States
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Liang Z, Xu C, Liang S, Cai TJ, Yang N, Li SD, Wang WT, Li YF, Wang D, Ji AL, Zhou LX, Liang ZQ. Short-term ambient nitrogen dioxide exposure is associated with increased risk of spontaneous abortion: A hospital-based study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 224:112633. [PMID: 34411816 DOI: 10.1016/j.ecoenv.2021.112633] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 08/06/2021] [Accepted: 08/11/2021] [Indexed: 06/13/2023]
Abstract
There are increasing concerns with regard to spontaneous abortion (SAB), the loss of pregnancy without external intervention before 20 weeks of gestation, among reproductive-aged women. To date, limited evidence is available concerning the association between SAB and air pollutants, especially in developing countries. Daily baseline outpatient data for SAB from January 1, 2014, to December 31, 2018 (1826 days) were obtained in Chongqing, a metropolis of southwest China. The over-dispersed Poisson generalized additive model with control of meteorological conditions and day of week was used to estimate the short-term effects of ambient air pollution on the daily number of SAB outpatients. A total of 42,334 SAB outpatient visits for SAB were recorded. No statistically significant association was observed between SAB and CO, PM2.5, PM10, O3, and SO2. The positive association only appeared for NO2: positive associations between SAB and NO2 were observed in both single-day models (lag 0, lag 1, lag 3, and lag 4) and cumulative exposure models (lag 01, lag 03, and lag 05) and the most significant effects were observed at lag 05 (3.289%; 95% CI: 1.568%, 5.011%). Moreover, the women with higher ages (30-39 and > 39) were more sensitive than those with lower ages (18-29), and the effect estimates were more evident in cool seasons. Collectively, our results suggested that short-term NO2 exposure was associated with higher risk of SAB, especially in elder women and cool seasons, which may contribute to further understand the role of air pollution on SAB and other adverse obstetric outcomes.
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Affiliation(s)
- Zhen Liang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chen Xu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China; Department of Hepatobiliary Surgery, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China
| | - Shi Liang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China; Department of Chemistry, Brigham Young University-Idaho, Rexburg, ID, USA
| | - Tong-Jian Cai
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.
| | - Neng Yang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Si-Di Li
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wen-Ting Wang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ya-Fei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Dan Wang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ai-Ling Ji
- Department of Preventive Medicine, Chongqing Medical and Pharmaceutical College, Chongqing, China
| | - Lai-Xin Zhou
- Medical Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhi-Qing Liang
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
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Wang H, Li J, Liu H, Guo F, Xue T, Guan T, Li J. Association of maternal exposure to ambient particulate pollution with incident spontaneous pregnancy loss. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 224:112653. [PMID: 34411818 DOI: 10.1016/j.ecoenv.2021.112653] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 08/04/2021] [Accepted: 08/12/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Maternal exposure to ambient fine particulate matter (PM2.5) is a potential risk factor for pregnancy loss, but the extant findings are inconsistent. One reason for the inconsistency is the difficulty of distinguishing spontaneous from induced pregnancy losses, particularly in countries with planning policies. OBJECTIVE To examine the association between maternal PM2.5 exposure and spontaneous incident pregnancy loss in China. METHODS A total of 18,513 women of reproductive age was recruited from Jiangsu Province, China, in 2007. Among them, 2451 women reported 2613 valid records of incident pregnancies from 2007 to 2010. We used Cox regression to link the outcomes (live birth, spontaneous pregnancy loss, or induced abortion) of those incident pregnancies with maternal PM2.5 exposures, assessed using well-developed estimates of historical concentrations at the county level. RESULTS Among the 2613 incident pregnancies, 69 spontaneous pregnancy losses, 596 induced abortions, and 1948 live births occurred. According to the adjusted model, each 10-μg/m3 increment in the average PM2.5 concentration during pregnancy was associated with a 43.3% (95% confidence interval, 6.6-92.5%) increased probability of spontaneous pregnancy loss. Advanced maternal age, a potential competing risk factor, weakened the association between PM2.5 and spontaneous pregnancy loss. The association was nonsignificant for unintended pregnancies. CONCLUSION Maternal PM2.5 exposure was associated significantly with incident spontaneous pregnancy loss. Our findings provide insight into the harmful effect of air pollution on human reproduction.
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Affiliation(s)
- Huiyu Wang
- Institute of Reproductive and Child Health / Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jiajianghui Li
- Institute of Reproductive and Child Health / Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Hengyi Liu
- Institute of Reproductive and Child Health / Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Fuyu Guo
- Institute of Reproductive and Child Health / Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Tao Xue
- Institute of Reproductive and Child Health / Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
| | - Tianjia Guan
- Department of Health Policy, School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jiwei Li
- College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang 310027, China; Shannon.AI, Beijing 100080, China
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Wu S, Zhang Y, Wu X, Hao G, Ren H, Qiu J, Zhang Y, Bi X, Yang A, Bai L, Tan J. Association between exposure to ambient air pollutants and the outcomes of in vitro fertilization treatment: A multicenter retrospective study. ENVIRONMENT INTERNATIONAL 2021; 153:106544. [PMID: 33819722 DOI: 10.1016/j.envint.2021.106544] [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: 09/23/2020] [Revised: 03/23/2021] [Accepted: 03/23/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Exposure to ambient air pollution has been reported to be inversely correlated with human reproductive health. However, the results of previous studies exploring the association between air pollution and in vitro fertilization (IVF) outcomes are conflicting, and further research is needed to clarify this association. OBJECTIVES This study aimed to investigate the associations between exposure to air pollutants and IVF outcomes. METHODS We conducted a multicenter retrospective cohort study involving 20,835 patients from four cities in Northern China, contributing to 11,787 fresh embryo transfer cycles, 9050 freeze-all cycles, and 17,676 frozen-thawed embryo transfer (FET) cycles during 2014-2018. We calculated the daily average concentrations of six criteria air pollutants (PM2.5, PM10, O3, NO2, CO, and SO2) during different exposure windows in IVF treatment timeline using data from the air monitoring station nearest to the residential site as approximate individual exposure. Generalized estimation equation models were used to assess the association between air pollution exposure and IVF outcomes. RESULTS Exposure to O3, NO2, and CO during most exposure windows in fresh embryo transfer cycles were correlated with lower possibilities of biochemical pregnancy, clinical pregnancy, and live birth. An inverse association of exposure to O3 and SO2 with pregnancy outcomes was observed in FET cycles. In addition, we found a significant association of exposure to air pollutants with a higher risk of ectopic pregnancy and lower oocyte yield. CONCLUSIONS Our study provided large-scale human evidence of the association between air pollution and adverse human reproductive outcomes in the population opting for IVF. Thus, exposure to air pollutants in the population opting for IVF should be limited to improve treatment outcomes.
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Affiliation(s)
- Shanshan Wu
- Center of Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, Liaoning 110022, PR China; Key Laboratory of Reproductive Dysfunction Disease and Fertility Remodeling of Liaoning Province, PR China
| | - Yunshan Zhang
- Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin 300100, PR China
| | - Xueqing Wu
- Center of Reproductive Medicine, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi 030013, PR China
| | - Guimin Hao
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, PR China
| | - Haiqin Ren
- Jinghua Hospital, Shenyang, Liaoning 110022, PR China
| | - Jiahui Qiu
- Center of Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, Liaoning 110022, PR China; Key Laboratory of Reproductive Dysfunction Disease and Fertility Remodeling of Liaoning Province, PR China
| | - Yinfeng Zhang
- Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin 300100, PR China
| | - Xingyu Bi
- Center of Reproductive Medicine, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi 030013, PR China
| | - Aimin Yang
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, PR China
| | - Lina Bai
- Jinghua Hospital, Shenyang, Liaoning 110022, PR China
| | - Jichun Tan
- Center of Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, Liaoning 110022, PR China; Key Laboratory of Reproductive Dysfunction Disease and Fertility Remodeling of Liaoning Province, PR China.
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Quenby S, Gallos ID, Dhillon-Smith RK, Podesek M, Stephenson MD, Fisher J, Brosens JJ, Brewin J, Ramhorst R, Lucas ES, McCoy RC, Anderson R, Daher S, Regan L, Al-Memar M, Bourne T, MacIntyre DA, Rai R, Christiansen OB, Sugiura-Ogasawara M, Odendaal J, Devall AJ, Bennett PR, Petrou S, Coomarasamy A. Miscarriage matters: the epidemiological, physical, psychological, and economic costs of early pregnancy loss. Lancet 2021; 397:1658-1667. [PMID: 33915094 DOI: 10.1016/s0140-6736(21)00682-6] [Citation(s) in RCA: 428] [Impact Index Per Article: 142.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 02/11/2021] [Accepted: 02/16/2021] [Indexed: 12/24/2022]
Abstract
Miscarriage is generally defined as the loss of a pregnancy before viability. An estimated 23 million miscarriages occur every year worldwide, translating to 44 pregnancy losses each minute. The pooled risk of miscarriage is 15·3% (95% CI 12·5-18·7%) of all recognised pregnancies. The population prevalence of women who have had one miscarriage is 10·8% (10·3-11·4%), two miscarriages is 1·9% (1·8-2·1%), and three or more miscarriages is 0·7% (0·5-0·8%). Risk factors for miscarriage include very young or older female age (younger than 20 years and older than 35 years), older male age (older than 40 years), very low or very high body-mass index, Black ethnicity, previous miscarriages, smoking, alcohol, stress, working night shifts, air pollution, and exposure to pesticides. The consequences of miscarriage are both physical, such as bleeding or infection, and psychological. Psychological consequences include increases in the risk of anxiety, depression, post-traumatic stress disorder, and suicide. Miscarriage, and especially recurrent miscarriage, is also a sentinel risk marker for obstetric complications, including preterm birth, fetal growth restriction, placental abruption, and stillbirth in future pregnancies, and a predictor of longer-term health problems, such as cardiovascular disease and venous thromboembolism. The costs of miscarriage affect individuals, health-care systems, and society. The short-term national economic cost of miscarriage is estimated to be £471 million per year in the UK. As recurrent miscarriage is a sentinel marker for various obstetric risks in future pregnancies, women should receive care in preconception and obstetric clinics specialising in patients at high risk. As psychological morbidity is common after pregnancy loss, effective screening instruments and treatment options for mental health consequences of miscarriage need to be available. We recommend that miscarriage data are gathered and reported to facilitate comparison of rates among countries, to accelerate research, and to improve patient care and policy development.
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Affiliation(s)
- Siobhan Quenby
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Warwick, UK; Tommy's National Centre for Miscarriage Research, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
| | - Ioannis D Gallos
- Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Rima K Dhillon-Smith
- Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Marcelina Podesek
- Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Mary D Stephenson
- University of Illinois Recurrent Pregnancy Loss Program, Department of Obstetrics and Gynecology, University of Illinois at Chicago, Chicago, IL, USA
| | - Joanne Fisher
- Warwick Clinical Trials Unit, University of Warwick, Warwick, UK
| | - Jan J Brosens
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Warwick, UK; Tommy's National Centre for Miscarriage Research, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Jane Brewin
- Tommy's Charity, Laurence Pountney Hill, London, UK
| | - Rosanna Ramhorst
- CONICET, Universidad de Buenos Aires, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales IQUIBICEN, Buenos Aires, Argentina
| | - Emma S Lucas
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Warwick, UK; Tommy's National Centre for Miscarriage Research, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Robert Anderson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Shahd Daher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Lesley Regan
- Tommy's National Centre for Miscarriage Research, Imperial College London, London, UK
| | - Maya Al-Memar
- Tommy's National Centre for Miscarriage Research, Imperial College London, London, UK
| | - Tom Bourne
- Tommy's National Centre for Miscarriage Research, Imperial College London, London, UK
| | - David A MacIntyre
- Tommy's National Centre for Miscarriage Research, Imperial College London, London, UK
| | - Raj Rai
- Tommy's National Centre for Miscarriage Research, Imperial College London, London, UK
| | - Ole B Christiansen
- Centre for Recurrent Pregnancy Loss of Western Denmark, Department of Obstetrics and Gynaecology, Aalborg University Hospital, Aalborg, Denmark
| | - Mayumi Sugiura-Ogasawara
- Department of Obstetrics and Gynecology, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan
| | - Joshua Odendaal
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Warwick, UK; Tommy's National Centre for Miscarriage Research, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Adam J Devall
- Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | | | - Stavros Petrou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Arri Coomarasamy
- Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
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Goin DE, Casey JA, Kioumourtzoglou MA, Cushing LJ, Morello-Frosch R. Environmental hazards, social inequality, and fetal loss: Implications of live-birth bias for estimation of disparities in birth outcomes. Environ Epidemiol 2021; 5:e131. [PMID: 33870007 PMCID: PMC8043739 DOI: 10.1097/ee9.0000000000000131] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 12/29/2020] [Indexed: 11/12/2022] Open
Abstract
Restricting to live births can induce bias in studies of pregnancy and developmental outcomes, but whether this live-birth bias results in underestimating disparities is unknown. Bias may arise from collider stratification due to an unmeasured common cause of fetal loss and the outcome of interest, or depletion of susceptibles, where exposure differentially causes fetal loss among those with underlying susceptibility. METHODS We conducted a simulation study to examine the magnitude of live-birth bias in a population parameterized to resemble one year of conceptions in California (N = 625,000). We simulated exposure to a non-time-varying environmental hazard, risk of spontaneous abortion, and time to live birth using 1000 Monte Carlo simulations. Our outcome of interest was preterm birth. We included a social vulnerability factor to represent social disadvantage, and estimated overall risk differences for exposure and preterm birth using linear probability models and stratified by the social vulnerability factor. We calculated how often confidence intervals included the true point estimate (CI coverage probabilities) to illustrate whether effect estimates differed qualitatively from the truth. RESULTS Depletion of susceptibles resulted in a larger magnitude of bias compared with collider stratification, with larger bias among the socially vulnerable group. Coverage probabilities were not adversely affected by bias due to collider stratification. Depletion of susceptibles reduced coverage, especially among the socially vulnerable (coverage among socially vulnerable = 46%, coverage among nonsocially vulnerable = 91% in the most extreme scenario). CONCLUSIONS In simulations, hazardous environmental exposures induced live-birth bias and the bias was larger for socially vulnerable women.
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Affiliation(s)
- 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, California
| | - Joan A. Casey
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | | | - Lara J. Cushing
- Department of Environmental Health Sciences, UCLA Fielding School of Public Health, Los Angeles, California
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy, & Management and School of Public Health, University of California, Berkeley, Berkeley, California
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Xue T, Guan T, Geng G, Zhang Q, Zhao Y, Zhu T. Estimation of pregnancy losses attributable to exposure to ambient fine particles in south Asia: an epidemiological case-control study. Lancet Planet Health 2021; 5:e15-e24. [PMID: 33421406 DOI: 10.1016/s2542-5196(20)30268-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 10/09/2020] [Accepted: 10/26/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Maternal exposure to ambient particulate matter (PM2·5) is associated with pregnancy loss (ie, stillbirth and miscarriage). South Asia has the highest burden of pregnancy loss globally and is one of the most PM2·5 polluted regions in the world. However, knowledge of the relevant exposure-response function for mothers is insufficient. METHODS In this epidemiological case-control study, we collected data from Demographic and Health Surveys from India, Pakistan, and Bangladesh for the period 1998-2016 for women who reported at least one pregnancy loss and one or more livebirths. We assessed ambient exposure during gestation with satellite-based PM2·5 measurements for the period. To derive the exposure-response function, we did a self-compared case-control study in which each case of pregnancy loss was compared with a successful livebirth control or controls by the same mother. Using the estimated exposure-response function, we quantified pregnancy losses attributable to PM2·5 in the region for the period 2000-16 using a standard risk assessment approach. FINDINGS We assessed data for 34 197 mothers, who had at least one pregnancy loss and one or more livebirth, of whom 26 282 (76·9%) were from India, 4228 (12·4%) were from Pakistan, and 3687 (10·8%) were from Bangladesh. The 34 197 cases of pregnancy loss were matched with 76 282 livebirth controls. The mean level of PM2·5 exposure was 56·00 μg/m3 (SD 30·82) for cases and 54·57 μg/m3 (31·73) for controls. After adjustment for maternal age, non-linear terms for temperature and humidity, seasonal variation, and long-term trends, each 10 μg/m3 increment in PM2·5 was associated with an odds ratio for pregnancy loss of 1·03 (95% CI 1·02-1·05). According to the estimated non-linear exposure-response function by age and urban residence versus rural residence, for the period 2000-16, an estimated 349 681 (95% CI 152 932-489 493) pregnancy losses per year were attributed to ambient air exposure of more than 40 μg/m3 (the annual PM2·5 standard of India), accounting for 7·1% (95% CI 3·3-31·2) of the total annual pregnancy loss burden in south Asia for this period. However, our estimates could be biased because of the limitations of the data (eg, misclassification of induced and spontaneous pregnancy losses). INTERPRETATION Our findings add to epidemiological evidence of the association between pregnancy loss and PM2·5. Suboptimal air quality contributes to a considerable fraction of total pregnancy loss in south Asia. Controlling PM2·5 pollution will promote maternal health in south Asia. FUNDING Chinese Natural Science Foundation and Ministry of Science and Technology of China.
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Affiliation(s)
- Tao Xue
- Institute of Reproductive and Child Health, Ministry of Health Key Laboratory of Reproductive Health, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
| | - Tianjia Guan
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guannan Geng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Yong Zhao
- College of Liberal Arts and Sciences, University of Connecticut, Storrs, CT, USA
| | - Tong Zhu
- BIC-ESAT and SKL-ESPC, College of Environmental Science and Engineering, Peking University, Beijing, China.
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Park EJ, Yoon C, Han JS, Lee GH, Kim DW, Park EJ, Lim HJ, Kang MS, Han HY, Seol HJ, Kim KP. Effect of PM10 on pulmonary immune response and fetus development. Toxicol Lett 2020; 339:1-11. [PMID: 33301788 DOI: 10.1016/j.toxlet.2020.11.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 11/19/2020] [Accepted: 11/29/2020] [Indexed: 01/12/2023]
Abstract
Despite numerous reports that ambient particulate matter is a key determinant for human health, toxicity data produced based on physicochemical properties of particulate matters is very lack, suggesting lack of scientific evidence for regulation. In this study, we sampled inhalable particulate matters (PM10) in northern Seoul, Korea. PM10 showed atypical- and fiber-type particles with the average size and the surface charge of 1,598.1 ± 128.7 nm and -27.5 ± 2.8, respectively, and various toxic elements were detected in the water extract. On day 90 after the first pulmonary exposure, total cell number dose-dependently increased in the lungs of both sexes of mice. PM10 induced Th1-dominant immune response with pathological changes in both sexes of mice. Meanwhile, composition of total cells and expression of proteins which functions in cell-to-cell communication showed different trends between sexes. Following, male and female mice were mated to identify effects of PM10 to the next generation. PM10 remained in the lung of dams until day 21 after birth, and the levels of IgA and IgE increased in the blood of dams exposed to the maximum dose compared to control. In addition, the interval between births of fetuses, the number of offspring, the neonatal survival rate (day 4 after birth) and the sex ratio seemed to be affected at the maximum dose, and particularly, all offspring from one dam were stillborn. In addition, expression of HIF-1α protein increased in the lung tissue of dams exposed to PM10, and level of hypoxia-related proteins was notably enhanced in PM10-exposed bronchial epithelial cells compared to control. Taken together, we suggest that inhaled PM10 may induce Th1-shifting immune response in the lung, and that it may affect reproduction (fetus development) by causing lung hypoxia. Additionally, we propose that further study is needed to identify particle-size-dependent effects on development of the next generation.
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Affiliation(s)
- Eun-Jung Park
- East-West Medical Science Research Institute, Kyung Hee Medical Science Research Institute, Kyung Hee University, Seoul, Republic of Korea.
| | - Cheolho Yoon
- Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea
| | - Ji-Seok Han
- Department of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon, Republic of Korea
| | - Gwang-Hee Lee
- School of Civil, Environmental, and Architectural Engineering, Korea University, Seoul, Republic of Korea
| | - Dong-Wan Kim
- School of Civil, Environmental, and Architectural Engineering, Korea University, Seoul, Republic of Korea
| | - Eun-Jun Park
- East-West Medical Science Research Institute, Kyung Hee Medical Science Research Institute, Kyung Hee University, Seoul, Republic of Korea
| | - Hyun-Ji Lim
- East-West Medical Science Research Institute, Kyung Hee Medical Science Research Institute, Kyung Hee University, Seoul, Republic of Korea
| | - Min-Sung Kang
- General Toxicology & Research Group, Jeonbuk Branch Institute, Korea Institute of Toxicology, Jeollabuk-do, Republic of Korea
| | - Hyoung-Yun Han
- Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon, Republic of Korea
| | - Hyun-Joo Seol
- Department of Obstetrics & Gynecology, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, Republic of Korea
| | - Kwang Pyo Kim
- Department of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin, Republic of Korea; Department of Biomedical Science and technology, Kyung Hee Medical Science Research Institute, Kyung Hee University, Seoul, Republic of Korea
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41
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Li L, Zhou L, Feng T, Hao G, Yang S, Wang N, Yan L, Pang Y, Niu Y, Zhang R. Ambient air pollution exposed during preantral-antral follicle transition stage was sensitive to associate with clinical pregnancy for women receiving IVF. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 265:114973. [PMID: 32806448 DOI: 10.1016/j.envpol.2020.114973] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/26/2020] [Accepted: 06/04/2020] [Indexed: 06/11/2023]
Abstract
Maternal exposure to air pollution is associated with poor reproductive outcomes in in vitro fertilization (IVF). However, the susceptible time windows are still not been known clearly. In the present study, we linked the air pollution data with the information of 9001 women receiving 10,467 transfer cycles from August 2014 to August 2019 in The Second Hospital of Hebei Medical University, Shijiazhuang City, China. Maternal exposure was presented as individual average daily concentrations of PM2.5, PM10, NO2, SO2, CO, and O3, which were predicted by spatiotemporal kriging model based on residential addresses. Exposure windows were divided to five periods according to the process of follicular and embryonic development in IVF. Generalized estimating equation model was used to evaluate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for association between clinical pregnancy and interquartile range increased average daily concentrations of pollutants during each exposure period. The increased PM2.5 (adjusted OR = 0.95, 95% CI: 0.90, 0.99), PM10 (adjusted OR = 0.93, 95% CI: 0.89, 0.98), NO2 (adjusted OR = 0.89, 95% CI: 0.85, 0.94), SO2 (OR = 0.94, 95% CI: 0.90, 0.98), CO (adjusted OR = 0.93, 95% CI: 0.89, 0.97) whereas decreased O3 (OR = 1.08, 95% CI: 1.02, 1.14) during the duration from preantral follicles to antral follicles were the strongest association with decreased probability of clinical pregnancy among the five periods. Especially, women aged 20-29 years old were more susceptible in preantral-antral follicle transition stage. Women aged 36-47 years old were more vulnerable during post-oocyte retrieve period. Our results suggested air pollution exposure during preantral-antral follicle transition stage was a note-worthy challenge to conceive among females receiving IVF.
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Affiliation(s)
- Lipeng Li
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China; Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, PR China
| | - Lixiao Zhou
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China
| | - Tengfei Feng
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, PR China
| | - Guimin Hao
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, PR China
| | - Sujuan Yang
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, PR China
| | - Ning Wang
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, PR China
| | - Lina Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China
| | - Yaxian Pang
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China
| | - Yujie Niu
- Department Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, 050017, PR China
| | - Rong Zhang
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, 050017, PR China.
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42
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Bi S, Tang J, Zhang L, Huang L, Chen J, Wang Z, Chen D, Du L. Fine particulate matter reduces the pluripotency and proliferation of human embryonic stem cells through ROS induced AKT and ERK signaling pathway. Reprod Toxicol 2020; 96:231-240. [PMID: 32745510 DOI: 10.1016/j.reprotox.2020.07.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/23/2020] [Accepted: 07/27/2020] [Indexed: 02/08/2023]
Abstract
Epidemiological investigations have found that air fine particulate matter (PM) exposure not only causes respiratory and cardiovascular diseases in adults and children, but also affects embryonic development during pregnancy, leading to poor pregnancy outcomes. However, its exact molecular mechanism is still unclear. In this study, human embryonic stem cells (hESCs) were treated with PM at different concentrations then the morphology and proliferation capacity were measured. The mRNA and protein expression of NANOG and OCT4 were detected using quantitative PCR, immunofluorescence, western blotting, and flow cytometry. Reactive oxygen species (ROS) generation and AKT/ERK activation were also measured. Meanwhile, changes in ROS, the expression of NANOG, OCT4, and the AKT/ERK pathways were measured in the hESCs with or without pretreatment of ROS scavenger N-acetylcysteine (NAC) prior to PM exposure. After PM exposure, the proliferation capacity and expression of OCT4 and NANOG at the mRNA and protein levels were downregulated. The ROS level in the hESCs increased after PM exposure, but this increase in ROS was attenuated by pretreatment with NAC. Further analysis showed that the levels of phosphorylated AKT and ERK increased after PM exposure. After pretreatment with NAC, the phosphorylation levels of AKT and ERK, which are crucial for regulating the proliferation, pluripotency, and differentiation of hESC, were significantly attenuated compared with the non-NAC pretreated exposure group. These results suggest that PM exposure may reduce the proliferation and pluripotency of hESC through ROS-mediated AKT/ERK pathways, thereby affecting the long-term development of embryos.
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Affiliation(s)
- Shilei Bi
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Jingman Tang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Lizi Zhang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Lijun Huang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Jingsi Chen
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China; Key Laboratory for Major Obstetric Diseases of Guangdong Province, Guangzhou, PR China; Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, Guangzhou, PR China
| | - Zhijian Wang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Dunjin Chen
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China; Key Laboratory for Major Obstetric Diseases of Guangdong Province, Guangzhou, PR China; Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, Guangzhou, PR China.
| | - Lili Du
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China; Key Laboratory for Major Obstetric Diseases of Guangdong Province, Guangzhou, PR China; Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, Guangzhou, PR China.
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