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Kumar SH, Acharyya S, Chouksey A, Soni N, Nazeer N, Mishra PK. Air pollution-linked epigenetic modifications in placental DNA: Prognostic potential for identifying future foetal anomalies. Reprod Toxicol 2024; 129:108675. [PMID: 39074641 DOI: 10.1016/j.reprotox.2024.108675] [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: 05/18/2024] [Revised: 07/11/2024] [Accepted: 07/24/2024] [Indexed: 07/31/2024]
Abstract
Prenatal exposure to air pollution is a significant risk factor for the mother and the developing foetus. The accumulation of pollutants in the placenta can cause a self-cascade loop of pro-inflammatory cytokine responses and DNA double-strand breaks. Previous research has shown that airborne particulate matter can damage the epigenome and disturb mitochondrial machinery, ultimately impairing placental function. Mitochondria are essential for preserving cellular homeostasis, energy metabolism, redox equilibrium, and epigenetic reprogramming. As these organelles are subtle targets of environmental exposures, any disruption in the signaling pathways can result in epigenomic instability, which can impact gene expression and mitochondrial function. This, in turn, can lead to changes in DNA methylation, post-translational histone modifications, and aberrant expression of microRNAs in proliferating trophoblast cells. The placenta has two distinct layers, cytotrophoblasts, and syncytiotrophoblasts, each with its mitochondria, which play important roles in preeclampsia, gestational diabetes, and overall health. Foetal nucleic acids enter maternal circulation during placental development because of necrotic, apoptotic, and inflammatory mechanisms. These nucleic acids reflect normal or abnormal ongoing cellular changes during prenatal foetal development. Detecting cell-free DNA in the bloodstream can be a biomarker for predicting negative pregnancy-related outcomes and recognizing abnormalities in foetal growth. Hence, a thorough understanding of how air pollution induces epigenetic variations within the placenta could offer crucial insights into underlying mechanisms and prolonged repercussions on foetal development and susceptibility in later stages of life.
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Affiliation(s)
- Sruthy Hari Kumar
- Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Sayanti Acharyya
- Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Apoorva Chouksey
- Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Nikita Soni
- Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Nazim Nazeer
- Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Pradyumna Kumar Mishra
- Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India.
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Zhou R, Yu H, Qian N, Jin S, Cai R, Chen L, Wang C, Wu F. Secular trends of low birth weight, preterm birth, and small for gestational age in Shanghai from 2004 to 2020: an age-period-cohort analysis. BMC Pregnancy Childbirth 2023; 23:540. [PMID: 37495942 PMCID: PMC10373378 DOI: 10.1186/s12884-023-05799-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 06/19/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Although highly heterogeneous among countries, the incidence rates of low birth weight (LBW), preterm birth (PTB), and small for gestational age (SGA) have been increasing globally over the past two decades. To better understand the cause of these secular trends, this study aimed to investigate the effects of age, period, and birth cohort on LBW, PTB, and SGA rates in Shanghai. METHODS Data from 2,958,695 singleton live births at 24-41 gestational weeks between 2004 and 2020 were obtained for this study. Age-period-cohort models based on Poisson regression were used to evaluate the independent effects of maternal age, delivery period, and maternal birth cohort on the trends in LBW, PTB, and SGA. RESULTS The overall prevalence rates of LBW, PTB, and SGA were 2.9%, 4.7%, and 9.3%, respectively, and significant changes were observed (average annual change: + 10.7‰, + 9.1‰, -11.9‰) from 2004 to 2020. Cohort effect increased steadily, from 1960 (risk ratio [RR] = 0.71, 95% confidence interval [CI]: 0.65-0.78) to 1993 (RR = 0.97, 95% CI: 0.94-1.01) for LBW and from 1960 (RR = 0.69, 95% CI: 0.64-0.75) to 2004 (RR = 1.02, 95% CI: 0.94-1.12) for PTB. A strong cohort effect was found with the highest risk of SGA (RR = 1.82, 95% CI: 1.72-1.93) in 1960 and the lowest risk (RR = 0.57, 95% CI: 0.54-0.61) in 2004, compared with the reference cohort of 1985. There was a "U-shaped" maternal age effect on LBW and PTB and a weak period effect on the three birth outcomes. CONCLUSIONS Our findings suggested a significant independent effect of age, period, and birth cohort on the three birth outcomes. The increasing rates of LBW and PTB motivated us to focus on young and advanced pregnant women. Meanwhile, the prevalence of SGA decreased steadily, illustrating the need for further research on the mechanisms underlying these trends.
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Affiliation(s)
- Rongfei Zhou
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Huiting Yu
- School of Public Health, Fudan University, Shanghai, 200032, China
- Vital Statistical Department, Shanghai Municipal Center for Disease Control and Prevention, Institute of Health Information, Shanghai, 200336, China
| | - Naisi Qian
- Vital Statistical Department, Shanghai Municipal Center for Disease Control and Prevention, Institute of Health Information, Shanghai, 200336, China
| | - Shan Jin
- Vital Statistical Department, Shanghai Municipal Center for Disease Control and Prevention, Institute of Health Information, Shanghai, 200336, China
| | - Renzhi Cai
- Vital Statistical Department, Shanghai Municipal Center for Disease Control and Prevention, Institute of Health Information, Shanghai, 200336, China
| | - Lei Chen
- Vital Statistical Department, Shanghai Municipal Center for Disease Control and Prevention, Institute of Health Information, Shanghai, 200336, China
| | - Chunfang Wang
- Vital Statistical Department, Shanghai Municipal Center for Disease Control and Prevention, Institute of Health Information, Shanghai, 200336, China
| | - Fan Wu
- School of Public Health, Fudan University, Shanghai, 200032, China.
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Garcia A, Santa-Helena E, De Falco A, de Paula Ribeiro J, Gioda A, Gioda CR. Toxicological Effects of Fine Particulate Matter (PM 2.5): Health Risks and Associated Systemic Injuries-Systematic Review. WATER, AIR, AND SOIL POLLUTION 2023; 234:346. [PMID: 37250231 PMCID: PMC10208206 DOI: 10.1007/s11270-023-06278-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 03/29/2023] [Indexed: 05/31/2023]
Abstract
Previous studies focused on investigating particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5) have shown the risk of disease development, and association with increased morbidity and mortality rates. The current review investigate epidemiological and experimental findings from 2016 to 2021, which enabled the systemic overview of PM2.5's toxic impacts on human health. The Web of Science database search used descriptive terms to investigate the interaction among PM2.5 exposure, systemic effects, and COVID-19 disease. Analyzed studies have indicated that cardiovascular and respiratory systems have been extensively investigated and indicated as the main air pollution targets. Nevertheless, PM2.5 reaches other organic systems and harms the renal, neurological, gastrointestinal, and reproductive systems. Pathologies onset and/or get worse due to toxicological effects associated with the exposure to this particle type, since it can trigger several reactions, such as inflammatory responses, oxidative stress generation and genotoxicity. These cellular dysfunctions lead to organ malfunctions, as shown in the current review. In addition, the correlation between COVID-19/Sars-CoV-2 and PM2.5 exposure was also assessed to help better understand the role of atmospheric pollution in the pathophysiology of this disease. Despite the significant number of studies about PM2.5's effects on organic functions, available in the literature, there are still gaps in knowledge about how this particulate matter can hinder human health. The current review aimed to approach the main findings about the effect of PM2.5 exposure on different systems, and demonstrate the likely interaction of COVID-19/Sars-CoV-2 and PM2.5.
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Affiliation(s)
- Amanda Garcia
- Instituto de Ciências Biológicas, Universidade Federal do Rio Grande - FURG, Rio Grande, RS Brazil
- Programa de Pós Graduação Em Ciências Fisiológicas, Universidade Federal do Rio Grande - FURG, Av. Itália Km 8, Campus Carreiros, Rio Grande, RS 96203-900 Brazil
| | - Eduarda Santa-Helena
- Instituto de Ciências Biológicas, Universidade Federal do Rio Grande - FURG, Rio Grande, RS Brazil
- Programa de Pós Graduação Em Ciências Fisiológicas, Universidade Federal do Rio Grande - FURG, Av. Itália Km 8, Campus Carreiros, Rio Grande, RS 96203-900 Brazil
- Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departmento de Química, Rio de Janeiro, Brazil
| | - Anna De Falco
- Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departmento de Química, Rio de Janeiro, Brazil
| | - Joaquim de Paula Ribeiro
- Instituto de Ciências Biológicas, Universidade Federal do Rio Grande - FURG, Rio Grande, RS Brazil
- Programa de Pós Graduação Em Ciências Fisiológicas, Universidade Federal do Rio Grande - FURG, Av. Itália Km 8, Campus Carreiros, Rio Grande, RS 96203-900 Brazil
| | - Adriana Gioda
- Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departmento de Química, Rio de Janeiro, Brazil
| | - Carolina Rosa Gioda
- Instituto de Ciências Biológicas, Universidade Federal do Rio Grande - FURG, Rio Grande, RS Brazil
- Programa de Pós Graduação Em Ciências Fisiológicas, Universidade Federal do Rio Grande - FURG, Av. Itália Km 8, Campus Carreiros, Rio Grande, RS 96203-900 Brazil
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Du W, Chen L, Wang H, Shan Z, Zhou Z, Li W, Wang Y. Deciphering urban traffic impacts on air quality by deep learning and emission inventory. J Environ Sci (China) 2023; 124:745-757. [PMID: 36182179 DOI: 10.1016/j.jes.2021.12.035] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 11/27/2021] [Accepted: 12/19/2021] [Indexed: 06/16/2023]
Abstract
Air pollution is a major obstacle to future sustainability, and traffic pollution has become a large drag on the sustainable developments of future metropolises. Here, combined with the large volume of real-time monitoring data, we propose a deep learning model, iDeepAir, to predict surface-level PM2.5 concentration in Shanghai megacity and link with MEIC emission inventory creatively to decipher urban traffic impacts on air quality. Our model exhibits high-fidelity in reproducing pollutant concentrations and reduces the MAE from 25.355 µg/m3 to 12.283 µg/m3 compared with other models. And identifies the ranking of major factors, local meteorological conditions have become a nonnegligible factor. Layer-wise relevance propagation (LRP) is used here to enhance the interpretability of the model and we visualize and analyze the reasons for the different correlation between traffic density and PM2.5 concentration in various regions of Shanghai. Meanwhile, As the strict and effective industrial emission reduction measurements implementing in China, the contribution of urban traffic to PM2.5 formation calculated by combining MEIC emission inventory and LRP is gradually increasing from 18.03% in 2011 to 24.37% in 2017 in Shanghai, and the impact of traffic emissions would be ever-prominent in 2030 according to our prediction. We also infer that the promotion of vehicular electrification would achieve further alleviation of PM2.5 about 8.45% by 2030 gradually. These insights are of great significance to provide the decision-making basis for accurate and high-efficient traffic management and urban pollution control, and eventually benefit people's lives and high-quality sustainable developments of cities.
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Affiliation(s)
- Wenjie Du
- School of Software Engineering, University of Science and Technology of China, Hefei 230026, China; Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China
| | - Lianliang Chen
- Alibaba Inc., Hangzhou 310052, China; School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China
| | - Haoran Wang
- School of Software Engineering, University of Science and Technology of China, Hefei 230026, China; Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China
| | - Ziyang Shan
- School of Software Engineering, University of Science and Technology of China, Hefei 230026, China; Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China
| | - Zhengyang Zhou
- Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China; School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China
| | - Wenwei Li
- CAS Key Laboratory of Urban Pollutant Conversion, Department of environmental science and Engineering, University of Science and Technology of China, Hefei 230026, China; USTC-CityU Joint Advanced Research Center, Suzhou 215123, China
| | - Yang Wang
- School of Software Engineering, University of Science and Technology of China, Hefei 230026, China; School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China.
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Chiarello DI, Ustáriz J, Marín R, Carrasco-Wong I, Farías M, Giordano A, Gallardo FS, Illanes SE, Gutiérrez J. Cellular mechanisms linking to outdoor and indoor air pollution damage during pregnancy. Front Endocrinol (Lausanne) 2023; 14:1084986. [PMID: 36875486 PMCID: PMC9974835 DOI: 10.3389/fendo.2023.1084986] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/30/2023] [Indexed: 02/17/2023] Open
Abstract
Pregnancies are a critical window period for environmental influences over the mother and the offspring. There is a growing body of evidence associating indoor and outdoor air pollution exposure to adverse pregnancy outcomes such as preterm birth and hypertensive disorders of pregnancy. Particulate matter (PM) could trigger oxi-inflammation and could also reach the placenta leading to placental damage with fetal consequences. The combination of strategies such as risk assessment, advise about risks of environmental exposures to pregnant women, together with nutritional strategies and digital solutions to monitor air quality can be effective in mitigating the effects of air pollution during pregnancy.
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Affiliation(s)
- Delia I. Chiarello
- Cellular Signaling and Differentiation Laboratory (CSDL), School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile
- *Correspondence: Delia I. Chiarello, ; Jaime Gutiérrez,
| | - Javier Ustáriz
- Department of Chemical and Bioprocess Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Reinaldo Marín
- Center for Biophysics and Biochemistry (CBB), Venezuelan Institute for Scientific Research (IVIC), Caracas, Venezuela
| | - Ivo Carrasco-Wong
- Cellular Signaling and Differentiation Laboratory (CSDL), School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile
| | - Marcelo Farías
- Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Ady Giordano
- Inorganic Chemistry Department, Faculty of Chemistry and of Pharmacy, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Felipe S. Gallardo
- Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Sebastián E. Illanes
- Reproductive Biology Program, Center for Biomedical Research and Innovation (CiiB), Universidad de los Andes, Santiago, Chile
- IMPACT, Center of Interventional Medicine for Precision and Advanced Cellular Therapy, Santiago, Chile
- Department of Obstetrics and Gynecology, Faculty of Medicine, Universidad de los Andes, Santiago, Chile
| | - Jaime Gutiérrez
- Cellular Signaling and Differentiation Laboratory (CSDL), School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile
- *Correspondence: Delia I. Chiarello, ; Jaime Gutiérrez,
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Zhou W, Ming X, Yang Y, Hu Y, He Z, Chen H, Li Y, Cheng J, Zhou X. Associations between maternal exposure to ambient air pollution and very low birth weight: A birth cohort study in Chongqing, China. Front Public Health 2023; 11:1123594. [PMID: 36960371 PMCID: PMC10028238 DOI: 10.3389/fpubh.2023.1123594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 02/15/2023] [Indexed: 03/09/2023] Open
Abstract
Introduction There have been many researches done on the association between maternal exposure to ambient air pollution and adverse pregnancy outcomes, but few studies related to very low birth weight (VLBW). This study thus explores the association between maternal exposure to ambient air pollutants and the risk of VLBW, and estimates the sensitive exposure time window. Methods A retrospective cohort study analyzed in Chongqing, China, during 2015-2020. The Generalized Additive Model were applied to estimate exposures for each participant during each trimester and the entire pregnancy period. Results For each 10 μg/m3 increase in PM2.5 during pregnancy, the relative risk of VLBW increased on the first trimester, with RR = 1.100 (95% CI: 1.012, 1.195) in the single-pollutant model. Similarly, for each 10 μg/m3 increase in PM10, there was a 12.9% (RR = 1.129, 95% CI: 1.055, 1.209) increase for VLBW on the first trimester in the single-pollutant model, and an 11.5% (RR = 1.115, 95% CI: 1.024, 1.213) increase in the multi-pollutant model, respectively. The first and second trimester exposures of NO2 were found to have statistically significant RR values for VLBW. The RR values on the first trimester were 1.131 (95% CI: 1.037, 1.233) and 1.112 (95% CI: 1.015, 1.218) in the single-pollutant model and multi-pollutant model, respectively; The RR values on the second trimester were 1.129 (95% CI: 1.027, 1.241) and 1.146 (95% CI: 1.038, 1.265) in the single-pollutant model and multi-pollutant model, respectively. The RR of O3 exposure for VLBW on the entire trimester was 1.076 (95% CI: 1.010-1.146), and on the second trimester was 1.078 (95% CI: 1:016, 1.144) in the single-pollutant model. Conclusion This study indicates that maternal exposure to high levels of PM2.5, PM10, NO2, and O3 during pregnancy may increase the risk of very low birth weight, especially for exposure on the first and second trimester. Reducing the risk of early maternal exposure to ambient air pollution is thus necessary for pregnant women.
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Affiliation(s)
- Wenzheng Zhou
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Xin Ming
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Yunping Yang
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Yaqiong Hu
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Ziyi He
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Hongyan Chen
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Yannan Li
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Jin Cheng
- Institute of Toxicology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
- Jin Cheng
| | - Xiaojun Zhou
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
- *Correspondence: Xiaojun Zhou
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Zhang Q, Meng X, Shi S, Kan L, Chen R, Kan H. Overview of particulate air pollution and human health in China: Evidence, challenges, and opportunities. Innovation (N Y) 2022; 3:100312. [PMID: 36160941 PMCID: PMC9490194 DOI: 10.1016/j.xinn.2022.100312] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/31/2022] [Indexed: 11/25/2022] Open
Abstract
Ambient particulate matter (PM) pollution in China continues to be a major public health challenge. With the release of the new WHO air quality guidelines in 2021, there is an urgent need for China to contemplate a revision of air quality standards (AQS). In the recent decade, there has been an increase in epidemiological studies on PM in China. A comprehensive evaluation of such epidemiological evidence among the Chinese population is central for revision of the AQS in China and in other developing countries with similar air pollution problems. We thus conducted a systematic review on the epidemiological literature of PM published in the recent decade. In summary, we identified the following: (1) short-term and long-term PM exposure increase mortality and morbidity risk without a discernible threshold, suggesting the necessity for continuous improvement in air quality; (2) the magnitude of long-term associations with mortality observed in China are comparable with those in developed countries, whereas the magnitude of short-term associations are appreciably smaller; (3) governmental clean air policies and personalized mitigation measures are potentially effective in protecting public and individual health, but need to be validated using mortality or morbidity outcomes; (4) particles of smaller size range and those originating from fossil fuel combustion appear to show larger relative health risks; and (5) molecular epidemiological studies provide evidence for the biological plausibility and mechanisms underlying the hazardous effects of PM. This updated review may serve as an epidemiological basis for China’s AQS revision and proposes several perspectives in designing future health studies. Acute effects of PM are smaller in China compared with developed countries Health effects caused by PM depend on particle composition, source, and size There are no thresholds for the health effects of PM Mechanistic studies support the biological plausibility of PM’s health effects
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Affiliation(s)
- Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Lena Kan
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, MD 21205, USA
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.,Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China
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Yu Z, Zhang X, Zhang J, Feng Y, Zhang H, Wan Z, Xiao C, Zhang H, Wang Q, Huang C. Gestational exposure to ambient particulate matter and preterm birth: An updated systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2022; 212:113381. [PMID: 35523275 DOI: 10.1016/j.envres.2022.113381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/17/2022] [Accepted: 04/26/2022] [Indexed: 06/14/2023]
Abstract
Previous studies on gestational particulate matter (PM) exposure and preterm birth (PTB) showed inconsistent results, and no study systematically examined the short-term effect of PM exposure on PTB subtypes. To investigate both long- and short-term effects of the evidence to date in general population, we searched for epidemiological studies on PM exposure and PTB that published in PubMed, Web of Science, Embase and Cochrane Library up to March 31, 2022. The protocol for this review was registered with PROSPERO (CRD42021265202). Heterogeneity was assessed by Cochran's Q test and I2 statistic. Publication bias was evaluated using funnel plots and Egger's tests. Subgroup analysis, meta-regression and sensitivity analysis were performed. Of 16,801 records, 84 eligible studies were finally included. The meta-analysis of long-term effect showed that per 10 μg/m3 increase in PM2.5 and PM10 during entire pregnancy were associated with PTB, the pooled odds ratios (ORs) were 1.084 (95% CI: 1.055-1.113) and 1.034 (95% CI: 1.018-1.049). Positive associations were found between PM2.5 in second trimester and PTB subtypes. For the short-term exposure, we observed that PTB was positively associated with a 10 μg/m3 increment in PM2.5 on lag day 2 and 3, the pooled ORs and 95% CIs were 1.003 (1.001-1.004) and 1.003 (1.001-1.005), with I2 of 65.30% and 76.60%. PM10 exposure on ave day 1 increased the risk of PTB, the pooled OR was 1.001 (95% CI: 1.000, 1.001). We also found that PM10 exposure in 2 weeks prior to birth increased PTB risk. Our results support the hypothesis of both long- and short-term PM2.5 exposure increase the risk of PTB. Further well-designed longitudinal studies and investigations into potential biological mechanisms are warranted.
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Affiliation(s)
- Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention; Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Yang Feng
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Han Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhongxiao Wan
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chenglong Xiao
- School of Earth Sciences, Chengdu University of Technology, Chengdu, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China; National Health Commission Key Laboratory of Birth Defects Prevention; Key Laboratory of Population Defects Prevention, Zhengzhou, China.
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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Ghosh R, Causey K, Burkart K, Wozniak S, Cohen A, Brauer M. Ambient and household PM2.5 pollution and adverse perinatal outcomes: A meta-regression and analysis of attributable global burden for 204 countries and territories. PLoS Med 2021; 18:e1003718. [PMID: 34582444 PMCID: PMC8478226 DOI: 10.1371/journal.pmed.1003718] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 07/01/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Particulate matter <2.5 micrometer (PM2.5) is associated with adverse perinatal outcomes, but the impact on disease burden mediated by this pathway has not previously been included in the Global Burden of Disease (GBD), Mortality, Injuries, and Risk Factors studies. We estimated the global burden of low birth weight (LBW) and preterm birth (PTB) and impacts on reduced birth weight and gestational age (GA), attributable to ambient and household PM2.5 pollution in 2019. METHODS AND FINDINGS We searched PubMed, Embase, and Web of Science for peer-reviewed articles in English. Study quality was assessed using 2 tools: (1) Agency for Healthcare Research and Quality checklist; and (2) National Institute of Environmental Health Sciences (NIEHS) risk of bias questions. We conducted a meta-regression (MR) to quantify the risk of PM2.5 on birth weight and GA. The MR, based on a systematic review (SR) of articles published through April 4, 2021, and resulting uncertainty intervals (UIs) accounted for unexplained between-study heterogeneity. Separate nonlinear relationships relating exposure to risk were generated for each outcome and applied in the burden estimation. The MR included 44, 40, and 40 birth weight, LBW, and PTB studies, respectively. Majority of the studies were of retrospective cohort design and primarily from North America, Europe, and Australia. A few recent studies were from China, India, sub-Saharan Africa, and South America. Pooled estimates indicated 22 grams (95% UI: 12, 32) lower birth weight, 11% greater risk of LBW (1.11, 95% UI: 1.07, 1.16), and 12% greater risk of PTB (1.12, 95% UI: 1.06, 1.19), per 10 μg/m3 increment in ambient PM2.5. We estimated a global population-weighted mean lowering of 89 grams (95% UI: 88, 89) of birth weight and 3.4 weeks (95% UI: 3.4, 3.4) of GA in 2019, attributable to total PM2.5. Globally, an estimated 15.6% (95% UI: 15.6, 15.7) of all LBW and 35.7% (95% UI: 35.6, 35.9) of all PTB infants were attributable to total PM2.5, equivalent to 2,761,720 (95% UI: 2,746,713 to 2,776,722) and 5,870,103 (95% UI: 5,848,046 to 5,892,166) infants in 2019, respectively. About one-third of the total PM2.5 burden for LBW and PTB could be attributable to ambient exposure, with household air pollution (HAP) dominating in low-income countries. The findings should be viewed in light of some limitations such as heterogeneity between studies including size, exposure levels, exposure assessment method, and adjustment for confounding. Furthermore, studies did not separate the direct effect of PM2.5 on birth weight from that mediated through GA. As a consequence, the pooled risk estimates in the MR and likewise the global burden may have been underestimated. CONCLUSIONS Ambient and household PM2.5 were associated with reduced birth weight and GA, which are, in turn, associated with neonatal and infant mortality, particularly in low- and middle-income countries.
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Affiliation(s)
- Rakesh Ghosh
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, United States of America
- * E-mail:
| | - Kate Causey
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America
| | - Katrin Burkart
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America
| | - Sara Wozniak
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America
| | - Aaron Cohen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America
- Boston University School of Public Health, Boston, Massachusetts, United States of America
- Health Effects Institute, Boston, Massachusetts, United States of America
| | - Michael Brauer
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
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Chen J, Fang J, Zhang Y, Xu Z, Byun HM, Li PH, Deng F, Guo X, Guo L, Wu S. Associations of adverse pregnancy outcomes with high ambient air pollution exposure: Results from the Project ELEFANT. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 761:143218. [PMID: 33190892 DOI: 10.1016/j.scitotenv.2020.143218] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/18/2020] [Indexed: 05/28/2023]
Abstract
BACKGROUND Investigations on the potential effects of high air pollution exposure before pregnancy on adverse pregnancy outcomes are limited, and it is unknown whether air quality standards looser than that set by World Health Organization (WHO) still can provide sufficient protection pregnant women from adverse pregnancy outcomes. OBJECTIVES To evaluate the potential effects of high ambient air pollution around pregnancy on preterm birth (PTB) and low birth weight (LBW), and assess the risk of PTB and LBW associated with air pollutants with reference to different air quality standards of WHO and China. METHODS Our study leveraged 10,960 pregnant women from the Project ELEFANT. Daily average particulate matter with an aerodynamic diameter of ≤2.5 μm (PM2.5) and ≤10 μm (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO) and ozone (O3) concentrations were collected based on Chinese Air Quality Reanalysis datasets. Hazard ratios (HR) of PTB and LBW were estimated for maternal PM2.5, PM10, NO2, SO2, CO and O3 exposures and related proportions of days with daily average air pollution concentrations exceeding air quality standards of WHO and China around pregnancy using Cox proportional hazards regression models with adjustment for potential confounders. RESULTS Ambient PM2.5, PM10, NO2, SO2 and CO exposure during the before pregnancy and pregnancy period were both significantly and positively associated with increased risk of PTB, PTB subtypes and LBW. A 10% increase in proportion of days with daily average PM2.5 exceeding 25 μg/m3 over the entire pregnancy was most apparently associated with risk of PTB (HR, 12.66; 95% CI, 8.20-19.53) and LBW (HR, 17.42; 95% CI, 6.88-44.10) among all PM2.5 proportion variables based on different air quality standards. CONCLUSION Air quality standards of WHO are necessary to be implemented to control for risks of adverse pregnancy outcomes associated with ambient air pollution in areas with high air pollution levels.
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Affiliation(s)
- Juan Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Junkai Fang
- Tianjin Institute of Medical & Pharmaceutical Sciences, Tianjin, China
| | - Ying Zhang
- Medical Genetic Laboratory, Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhouyang Xu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Hyang-Min Byun
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Peng-Hui Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Liqiong Guo
- Institute of Disaster Medicine, Tianjin University, Tianjin, China.
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China; Key Laboratory of Molecular Cardiovascular Sciences, Peking University, Ministry of Education, China.
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Yang L, Zhang X, Xing W, Zhou Q, Zhang L, Wu Q, Zhou Z, Chen R, Toriba A, Hayakawa K, Tang N. Yearly variation in characteristics and health risk of polycyclic aromatic hydrocarbons and nitro-PAHs in urban shanghai from 2010-2018. J Environ Sci (China) 2021; 99:72-79. [PMID: 33183718 DOI: 10.1016/j.jes.2020.06.017] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 06/12/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
This study encompassed the regular observation of nine polycyclic aromatic hydrocarbons (PAHs) and three nitro-PAHs (NPAHs) in particulate matter (PM) in Shanghai in summer and winter from 2010 to 2018. The results showed that the mean concentrations of ƩPAHs in summer decreased by 24.7% in 2013 and 18.1% in 2017 but increased by 10.2% in 2015 compared to the data in 2010. However, the mean concentrations of ƩPAHs in winter decreased by 39.7% from 2010 (12.8 ± 4.55 ng/m3) to 2018 (7.72 ± 3.33 ng/m3), and the mean concentrations of 1-nitropyrene in winter decreased by 79.0% from 2010 (42.3 ± 16.1 pg/m3) to 2018 (8.90 ± 2.09 pg/m3). Correlation analysis with meteorological conditions revealed that the PAH and NPAH concentrations were both influenced by ambient temperature. The diagnostic ratios of PAHs and factor analysis showed that they were mainly affected by traffic emissions with some coal and/or biomass combustion. The ratio of 2-nitrofluoranthene to 2-nitropyrene was near 10, which indicated that the OH radical-initiated reaction was the main pathway leading to their secondary formation. Moreover, backward trajectories revealed different air mass routes in each sampling period, indicating a high possibility of source effects from the northern area in winter in addition to local and surrounding influences. Meanwhile, the mean total benzo[a]pyrene-equivalent concentrations in Shanghai in winter decreased by 50.8% from 2010 (1860 ± 645 pg/m3) to 2018 (916 ± 363 pg/m3). These results indicated the positive effects of the various policies and regulations issued by Chinese authorities.
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Affiliation(s)
- Lu Yang
- Graduate School of Medical Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Xuan Zhang
- Graduate School of Medical Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Wanli Xing
- Graduate School of Medical Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Quanyu Zhou
- Graduate School of Medical Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Lulu Zhang
- Graduate School of Medical Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Qing Wu
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Zhijun Zhou
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Akira Toriba
- Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Kazuichi Hayakawa
- Institute of Nature and Environmental Technology, Kanazawa University, Kakuma-machi, 920-1192, Kanazawa, Japan
| | - Ning Tang
- Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan; Institute of Nature and Environmental Technology, Kanazawa University, Kakuma-machi, 920-1192, Kanazawa, Japan.
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Jing S, Chen C, Gan Y, Vogel J, Zhang J. Incidence and trend of preterm birth in China, 1990-2016: a systematic review and meta-analysis. BMJ Open 2020; 10:e039303. [PMID: 33310797 PMCID: PMC7735132 DOI: 10.1136/bmjopen-2020-039303] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 10/19/2020] [Accepted: 11/24/2020] [Indexed: 01/02/2023] Open
Abstract
OBJECTIVES To update the WHO estimate of preterm birth rate in China in 1990-2016 and to further explore variations by geographic regions and years of occurrence. DESIGN Systematic review and meta-analysis. DATA SOURCES Pubmed, Embase, Cochrane Library and Sinomed databases were searched from 1990 to 2018. ELIGIBILITY CRITERIA Studies were included if they provided preterm birth data with at least 500 total births. Reviews, case-control studies, intervention studies and studies with insufficient information or published before 1990 were excluded. We estimated pooled incidence of preterm birth by a random effects model, and preterm birth rate in different year, region and by livebirths or all births in subgroup analyses. RESULTS Our search identified 3945 records. After the removal of duplicates and screening of titles and abstracts, we reviewed 254 studies in full text and excluded 182, leaving 72 new studies. They were combined with the 82 studies included in the WHO report (154 studies, 187 data sets in total for the meta-analysis), including 24 039 084 births from 1990 to 2016. The pooled incidence of preterm birth in China was 6.09% (95% CI 5.86% to 6.31%) but has been steadily increasing from 5.36% (95% CI 4.89% to 5.84%) in 1990-1994 to 7.04% (95% CI 6.09% to 7.99%) in 2015-2016. The annual rate of increase was about 1.05% (95% CI 0.85% to 1.21%). Northwest China appeared to have the highest preterm birth rate (7.3%, 95% CI 4.92% to 9.68% from 1990 to 2016). CONCLUSIONS The incidence of preterm birth in China has been rising gradually in the past three decades. It was 7% in 2016. Preterm birth rate varied by region with the West having the highest occurrence.
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Affiliation(s)
- Shiwen Jing
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chang Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuexin Gan
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Joshua Vogel
- Maternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Victoria, Australia
| | - Jun Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Yuan L, Zhang Y, Wang W, Chen R, Liu Y, Liu C, Kan H, Gao Y, Tian Y. Critical windows for maternal fine particulate matter exposure and adverse birth outcomes: The Shanghai birth cohort study. CHEMOSPHERE 2020; 240:124904. [PMID: 31550593 DOI: 10.1016/j.chemosphere.2019.124904] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 09/02/2019] [Accepted: 09/17/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Prenatal exposure to ambient levels of air pollution has been reported to adversely affect birth outcomes, yet few studies have investigated refined susceptible windows for adverse birth outcomes. OBJECTIVES The study aimed at estimating associations between maternal exposure to ambient fine particulate matter (PM2.5; particles with an aerodynamic diameter ≤ 2.5 μm) and birth outcomes, including birth weight, low birth weight (LBW) and preterm birth (PTB), and identify specific susceptible windows. METHODS A total of 3692 singleton live births were enrolled between 2013 and 2016 in Shanghai Birth Cohort, China. Based on mothers' residential addresses, weekly mean concentrations of PM2.5 over gestation were estimated based on an incorporated evaluating approach combining satellite-based estimates and ground-level measurements. Distributed lag non-liner models (DLNMs) were fitted by incorporating with multiple liner models and Cox proportional hazard models to evaluate weekly-as well as trimester-exposure-lag-response associations between average PM2.5 level and birth weight, LBW and PTB, and to identify critical windows. RESULTS In this study, gestational exposure to PM2.5 was associated with adverse birth outcomes in infants, and critical windows were identified as 31st-34th gestational weeks for reduced birth weight, 38th-42 nd weeks for LBW and 27th-30th weeks for PTB, respectively. Trimester-specific associations were found for all birth outcomes during the third trimester. CONCLUSIONS Ambient PM2.5 exposure exhibited adverse impacts on multiple outcomes including reduced birth weight, LBW and PTB in the late pregnancy. The study provides further evidence supporting harmful effects of maternal PM2.5 exposure on birth outcomes and identifying critical windows.
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Affiliation(s)
- Lei Yuan
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Zhang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weidong Wang
- Department of Environmental Health, School of Public Health, Fudan University School of Medicine, Shanghai, China
| | - Renjie Chen
- Department of Environmental Health, School of Public Health, Fudan University School of Medicine, Shanghai, China
| | - Yang Liu
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Cong Liu
- Department of Environmental Health, School of Public Health, Fudan University School of Medicine, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University School of Medicine, Shanghai, China.
| | - Yu Gao
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Ying Tian
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE and Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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14
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Liang Z, Yang Y, Li J, Zhu X, Ruan Z, Chen S, Huang G, Lin H, Zhou JY, Zhao Q. Migrant population is more vulnerable to the effect of air pollution on preterm birth: Results from a birth cohort study in seven Chinese cities. Int J Hyg Environ Health 2019; 222:1047-1053. [DOI: 10.1016/j.ijheh.2019.07.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 06/27/2019] [Accepted: 07/10/2019] [Indexed: 10/26/2022]
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15
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Yuan L, Zhang Y, Gao Y, Tian Y. Maternal fine particulate matter (PM 2.5) exposure and adverse birth outcomes: an updated systematic review based on cohort studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:13963-13983. [PMID: 30891704 DOI: 10.1007/s11356-019-04644-x] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 02/19/2019] [Indexed: 04/16/2023]
Abstract
Exposure to ambient air pollutants during pregnancy may be associated with numerous side health effects and adverse birth outcomes. Growing numbers of studies have explored a possible linkage between prenatal exposure to PM2.5 (particulate matter with aerodynamic diameter ≤ 2.5 μm) and impacts on fetal development. We aimed to conduct a systematic review based on published cohort studies to summarize evidence regarding the association between maternal PM2.5 exposure and birth outcomes, including birth weight, low birth weight (LBW), preterm birth (PTB), and small for gestational age (SGA). Eligible studies meeting the following criterion were selected: PM2.5 exposure during pregnancy and live birth singletons, certain presentation of sample sizes, and quantitative evaluation of the associations between exposure and outcomes. Among the 42 selected studies, 23 evaluated the impact of prenatal PM2.5 exposure on birth weight of infants while 12 of them provided a significantly negative association for exposure and birth weight. Twenty-one studies aimed to identify the possible relationship between maternal exposure and LBW and 8 studies proved significant associations. Among 18 studies that explored the correlation between prenatal exposure and PTB, 9 reached a consistent conclusion that gestational exposure would add to the risk of PTB. Nine studies assessed the impact of PM2.5 on SGA and 5 of them demonstrated a significant effect. So far, linkages between maternal PM2.5 exposure during varied gestational stages and multiple adverse birth outcomes have been observed in many studies. A summary of them will be meaningful for further research on maternal exposure and adverse birth outcomes.
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Affiliation(s)
- Lei Yuan
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Yan Zhang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Yu Gao
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China.
| | - Ying Tian
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China.
- MOE and Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Sant KE, Timme-Laragy AR. Zebrafish as a Model for Toxicological Perturbation of Yolk and Nutrition in the Early Embryo. Curr Environ Health Rep 2019; 5:125-133. [PMID: 29417450 DOI: 10.1007/s40572-018-0183-2] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE OF REVIEW Developmental toxicity assessments often focus on structural outcomes and overlook subtle metabolic differences which occur during the early embryonic period. Deviant embryonic nutrition can result in later-life disease, including diabetes, obesity, and cardiovascular disease. Prior to placenta-mediated nutrient exchange, the human embryo requires maternally supplied nutritional substrates for growth, called yolk. Here, we compare the biology of the human and zebrafish yolk and review examples of toxicant-mediated perturbation of yolk defects, composition, and utilization. RECENT FINDINGS Zebrafish embryos, like human embryos, have a protruding yolk sac that serves as a nutritional cache. Aberrant yolk morphology is a common qualitative finding in fish embryotoxicity studies, but quantitative assessment and characterization provides an opportunity to uncover mechanistic targets of toxicant effects on embryonic nutrition. The zebrafish and the study of its yolk sac is an excellent model for uncovering toxicant disruptions to early embryonic nutrition and has potential to discover mechanistic insights into the developmental origins of health and disease.
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Affiliation(s)
- Karilyn E Sant
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Goessman 171, 686 N Pleasant St, Amherst, MA, 01003, USA
| | - Alicia R Timme-Laragy
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Goessman 171, 686 N Pleasant St, Amherst, MA, 01003, USA.
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Li Z, Tang Y, Song X, Lazar L, Li Z, Zhao J. Impact of ambient PM 2.5 on adverse birth outcome and potential molecular mechanism. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2019; 169:248-254. [PMID: 30453172 DOI: 10.1016/j.ecoenv.2018.10.109] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 10/26/2018] [Accepted: 10/30/2018] [Indexed: 05/20/2023]
Abstract
PM2.5 (particulate matter ≤2.5 µm in aerodynamic diameter) refers to atmospheric particulate matter (PM) with an aerodynamic diameter of equal and less than 2.5 µm that tends to be suspended for long periods of time and travel over long distances in both outdoor and indoor atmospheres. PM2.5, along with the toxic compounds attached on it, may cause a wide range of disorders. The fetus is considered to be highly susceptible to a variety of toxicants including atmospheric pollutants such as PM2.5 through prenatal exposure. To better understand the relationship between maternal exposure to PM2.5 and adverse birth outcomes for reproduction and fetus development, we studied the published data on this issue including case-control studies, cohort studies and meta-analyses studies, and summarized the basic impact of ambient particulate matter on adverse birth outcomes. Research evidence indicates that PM2.5 has a potential to induce low birth weight (LBW), preterm birth (PTB), and stillbirth. A further in-depth analysis shows that oxidative stress, DNA methylation, mitochondrial DNA (mtDNA) content alteration, and endocrine disruptions may all play an important role in PM2.5 induced adverse effects to pregnant women and fetuses. In addition, PM2.5 exposure can cause male reproductive toxicity, leading to associated adverse pregnancy outcomes.
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Affiliation(s)
- Zhou Li
- Department of Preventative Medicine, Zhejiang Key Laboratory of Pathophysiology, Medicine School of Ningbo University, 818 Fenghua Road, Ningbo, Zhejiang Province 315211, People's Republic of China
| | - Yuqing Tang
- Department of Preventative Medicine, Zhejiang Key Laboratory of Pathophysiology, Medicine School of Ningbo University, 818 Fenghua Road, Ningbo, Zhejiang Province 315211, People's Republic of China
| | - Xin Song
- Department of Preventative Medicine, Zhejiang Key Laboratory of Pathophysiology, Medicine School of Ningbo University, 818 Fenghua Road, Ningbo, Zhejiang Province 315211, People's Republic of China
| | - Lissy Lazar
- Department of Preventative Medicine, Zhejiang Key Laboratory of Pathophysiology, Medicine School of Ningbo University, 818 Fenghua Road, Ningbo, Zhejiang Province 315211, People's Republic of China
| | - Zhen Li
- Department of Preventative Medicine, Zhejiang Key Laboratory of Pathophysiology, Medicine School of Ningbo University, 818 Fenghua Road, Ningbo, Zhejiang Province 315211, People's Republic of China.
| | - Jinshun Zhao
- Department of Preventative Medicine, Zhejiang Key Laboratory of Pathophysiology, Medicine School of Ningbo University, 818 Fenghua Road, Ningbo, Zhejiang Province 315211, People's Republic of China.
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