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Guo J, Zhou J, Han R, Wang Y, Lian X, Tang Z, Ye J, He X, Yu H, Huang S, Li J. Association of Short-Term Co-Exposure to Particulate Matter and Ozone with Mortality Risk. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:15825-15834. [PMID: 37779243 DOI: 10.1021/acs.est.3c04056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
A complex regional air pollution problem dominated by particulate matter (PM) and ozone (O3) needs drastic attention since the levels of O3 and PM are not decreasing in many parts of the world. Limited evidence is currently available regarding the association between co-exposure to PM and O3 and mortality. A multicounty time-series study was used to investigate the associations of short-term exposure to PM1, PM2.5, PM10, and O3 with daily mortality from different causes, which was based on data obtained from the Mortality Surveillance System managed by the Jiangsu Province Center for Disease Control and Prevention of China and analyzed via overdispersed generalized additive models with random-effects meta-analysis. We investigated the interactions of PM and O3 on daily mortality and calculated the mortality fractions attributable to PM and O3. Our results showed that PM1 is more strongly associated with daily mortality than PM2.5, PM10, and O3, and percent increases in daily all-cause nonaccidental, cardiovascular, and respiratory mortality were 1.37% (95% confidence interval (CI), 1.22-1.52%), 1.44% (95% CI, 1.25-1.63%), and 1.63% (95% CI, 1.25-2.01%), respectively, for a 10 μg/m3 increase in the 2 day average PM1 concentration. We found multiplicative and additive interactions of short-term co-exposure to PM and O3 on daily mortality. The risk of mortality was greatest among those with higher levels of exposure to both PM (especially PM1) and O3. Moreover, excess total and cardiovascular mortality due to PM1 exposure is highest in populations with higher O3 exposure levels. Our results highlight the importance of the collaborative governance of PM and O3, providing a scientific foundation for pertinent standards and regulatory interventions.
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Affiliation(s)
- Jianhui Guo
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jinyi Zhou
- Non-Communicable Chronic Disease Control and Prevention Institute, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu 210009, China
| | - Renqiang Han
- Non-Communicable Chronic Disease Control and Prevention Institute, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu 210009, China
| | - Yaqi Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Xinyao Lian
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Ziqi Tang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jin Ye
- School of Energy and Power, Jiangsu University of Science and Technology, Jiangsu 212100, China
| | - Xueqiong He
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Hao Yu
- Non-Communicable Chronic Disease Control and Prevention Institute, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu 210009, China
| | - Shaodan Huang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
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Li J, Liu F, Liang F, Yang Y, Lu X, Gu D. Air pollution exposure and vascular endothelial function: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:28525-28549. [PMID: 36702984 DOI: 10.1007/s11356-023-25156-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 01/02/2023] [Indexed: 06/18/2023]
Abstract
Vascular endothelial dysfunction is an early stage to cardiovascular diseases (CVDs), but whether air pollution exposure has an effect on it remains unknown. We conducted a systematic review and meta-analysis to summarize epidemiological evidence between air pollution and endothelial dysfunction. We searched the database of PubMed, EMBASE, the Cochrane Library, and Web of Science up to November 10, 2022. Fixed and random effect models were used to pool the effect change or percent change (% change) and 95% confidence interval (95% CI) of vascular function associated with particulate matter (PM) and gaseous pollutants. I2 statistics, funnel plot, and Egger's test were used to evaluate heterogeneity and publication bias. There were 34 articles included in systematic review, and 25 studies included in meta-analysis. For each 10 µg/m3 increment in short-term PM2.5 exposure, augmentation index (AIx) and pulse wave velocity (PWV) increased by 2.73% (95% CI: 1.89%, 3.57%) and 0.56% (95% CI: 0.22%, 0.89%), and flow-mediated dilation (FMD) decreased by 0.17% (95% CI: - 0.33%, - 0.00%). For each 10 µg/m3 increment in long-term PM2.5 exposure, FMD decreased by 0.99% (95% CI: - 1.41%, - 0.57%). The associations between remaining pollutants and outcomes were not statistically significant. The effect of short-term PM2.5 exposure on FMD change was stronger in population with younger age, lower female proportion, higher mean body mass index and higher PM2.5 exposure. Cardiac or vasoactive medication might attenuate this effect. Our study provides evidence that PM2.5 exposure had adverse impact on vascular endothelial function, indicating the importance of air quality improvement for early CVD prevention.
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Affiliation(s)
- Jinyue Li
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
| | - Fangchao Liu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
| | - Fengchao Liang
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yuxin Yang
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
| | - Xiangfeng Lu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
| | - Dongfeng Gu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China.
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China.
- School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China.
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Slawsky E, Ward-Caviness CK, Neas L, Devlin RB, Cascio WE, Russell AG, Huang R, Kraus WE, Hauser E, Diaz-Sanchez D, Weaver AM. Evaluation of PM 2.5 air pollution sources and cardiovascular health. Environ Epidemiol 2021; 5:e157. [PMID: 34131618 PMCID: PMC8196100 DOI: 10.1097/ee9.0000000000000157] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 04/09/2021] [Indexed: 11/25/2022] Open
Abstract
Long-term air pollution exposure, notably fine particulate matter, is a global contributor to morbidity and mortality and a known risk factor for coronary artery disease (CAD) and myocardial infarctions (MI). Knowledge of impacts related to source-apportioned PM2.5 is limited. New modeling methods allow researchers to estimate source-specific long-term impacts on the prevalence of CAD and MI. The Catheterization Genetics (CATHGEN) cohort consists of patients who underwent a cardiac catheterization at Duke University Medical Center between 2002 and 2010. Severity of coronary blockage was determined by coronary angiography and converted into a binary indicator of clinical CAD. History of MI was extracted from medical records. Annual averages of source specific PM2.5 were estimated using an improved gas-constrained source apportionment model for North Carolina from 2002 to 2010. We tested six sources of PM2.5 mass for associations with CAD and MI using mixed effects multivariable logistic regression with a random intercept for county and multiple adjustments. PM2.5 fractions of ammonium bisulfate and ammonium nitrate were associated with increased prevalence of CAD (odds ratio [OR] 1.20; 95% CI = 1.11, 1.22 and OR 1.18; 95% CI = 1.05, 1.32, respectively). PM2.5 from ammonium bisulfate and ammonium nitrate were also associated with increased prevalence of MI (OR 1.20; 95% CI = 1.10, 1.29 and OR 1.35; 95% CI = 1.20, 1.53, respectively). Greater PM2.5 concentrations of ammonium bisulfate and ammonium nitrate are associated with greater MI and CAD prevalence. The association with bisulfate suggests aerosol acidity may play a role. Our findings suggest analyses of source specific PM2.5 mass can reveal novel associations.
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Affiliation(s)
- Erik Slawsky
- Oak Ridge Associated Universities at the US Environmental Protection Agency, Chapel Hill, North Carolina
| | | | - Lucas Neas
- United States Environmental Protection Agency, RTP, Durham, North Carolina
| | - Robert B. Devlin
- United States Environmental Protection Agency, RTP, Durham, North Carolina
| | - Wayne E. Cascio
- United States Environmental Protection Agency, RTP, Durham, North Carolina
| | | | - Ran Huang
- Georgia Institute of Technology, Atlanta, Georgia
| | | | | | - David Diaz-Sanchez
- United States Environmental Protection Agency, RTP, Durham, North Carolina
| | - Anne M. Weaver
- United States Environmental Protection Agency, RTP, Durham, North Carolina
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Early Life Exposure to Air Pollution and Autism Spectrum Disorder: Findings from a Multisite Case-Control Study. Epidemiology 2021; 31:103-114. [PMID: 31592868 DOI: 10.1097/ede.0000000000001109] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Epidemiologic studies have reported associations between prenatal and early postnatal air pollution exposure and autism spectrum disorder (ASD); however, findings differ by pollutant and developmental window. OBJECTIVES We examined associations between early life exposure to particulate matter ≤2.5 µm in diameter (PM2.5) and ozone in association with ASD across multiple US regions. METHODS Our study participants included 674 children with confirmed ASD and 855 population controls from the Study to Explore Early Development, a multi-site case-control study of children born from 2003 to 2006 in the United States. We used a satellite-based model to assign air pollutant exposure averages during several critical periods of neurodevelopment: 3 months before pregnancy; each trimester of pregnancy; the entire pregnancy; and the first year of life. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for study site, maternal age, maternal education, maternal race/ethnicity, maternal smoking, and month and year of birth. RESULTS The air pollution-ASD associations appeared to vary by exposure time period. Ozone exposure during the third trimester was associated with ASD, with an OR of 1.2 (95% CI: 1.1, 1.4) per 6.6 ppb increase in ozone. We additionally observed a positive association with PM2.5 exposure during the first year of life (OR = 1.3 [95% CI: 1.0, 1.6] per 1.6 µg/m increase in PM2.5). CONCLUSIONS Our study corroborates previous findings of a positive association between early life air pollution exposure and ASD, and identifies a potential critical window of exposure during the late prenatal and early postnatal periods.
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Hu J, Yu Y. Epigenetic response profiles into environmental epigenotoxicant screening and health risk assessment: A critical review. CHEMOSPHERE 2019; 226:259-272. [PMID: 30933735 DOI: 10.1016/j.chemosphere.2019.03.096] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 03/06/2019] [Accepted: 03/14/2019] [Indexed: 06/09/2023]
Abstract
The epigenome may be an important interface between exposure to environmental contaminants and adverse outcome on human health. Many environmental pollutants deregulate gene expression and promote diseases by modulating the epigenome. Adverse epigenetic responses have been widely used for risk assessment of chemical substances. Various pollutants, including trace elements and persistent organic pollutants, have been detected frequently in the environment. Epigenetic toxicity of environmental matrices including water, air, soil, and food cannot be ignored. This review provides a comprehensive overview of epigenetic effects of pollutants and environmental matrices. We start with an overview of the mechanisms of epigenetic regulation and the effects of several types of environmental pollutants (trace elements, persistent organic pollutants, endocrine disrupting chemicals, and volatile organic pollutants) on epigenetic modulation. We then discuss the epigenetic responses to environmental water, air, and soil based on in vivo and in vitro assays. Finally, we discuss recommendations to promote the incorporation of epigenotoxicity into contamination screening and health risk assessment.
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Affiliation(s)
- Junjie Hu
- School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, Guangdong, PR China
| | - Yingxin Yu
- Guangzhou Key Laboratory Environmental Catalysis and Pollution Control, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, Guangdong, PR China.
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