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Kuntic M, Hahad O, Al-Kindi S, Oelze M, Lelieveld J, Daiber A, Münzel T. Pathomechanistic synergy between particulate matter and traffic noise induced cardiovascular damage and the classical risk factor hypertension. Antioxid Redox Signal 2024. [PMID: 38874533 DOI: 10.1089/ars.2024.0659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
SIGNIFICANCE In all modern urbanized and industrialized societies, non-communicable diseases, like cardiovascular disease (CVD), are becoming a more important cause of morbidity and mortality. Classic risk factors for CVDs, such as hypertension, are reinforced by behavioral risk factors, like smoking and diet, and environmental risk factors, like transportation noise and air pollution. RECENT ADVANCES Both transportation noise and air pollution have individually been shown to increase the risk for CVD in large cohorts. Insights from animal studies have revealed pathophysiologic mechanisms by which these stressors influence the cardiovascular system. Noise primarily causes annoyance and sleep disturbance, promoting the release of stress hormones. Air pollution primarily damages the lung, where it causes local inflammation and an increase in oxidative stress, which can propagate to the circulation and remote organs. CRITICAL ISSUES Both noise and air pollution converge at the vascular level, where the inflammatory state and oxidative stress cause dysfunction in vascular signaling and promote atherosclerotic plaque formation and thrombosis. Both inflammation and oxidative stress are key aspects of traditional cardiovascular risk factors, such as arterial hypertension. The similarities among the mechanisms of environmental risk factor-induced CVD and hypertension indicate that a complex interplay between them can drive the onset and progression of CVDs, leading to synergistic health impacts. FUTURE DIRECTIONS Our present overview of the negative effects of noise and air pollution on the cardiovascular system provides a mechanistic link to the traditional CVD risk factor, hypertension, which could be used to protect patients with pre-existing CVD better.
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Affiliation(s)
- Marin Kuntic
- University Medical Center of the Johannes Gutenberg University Mainz, Cardiology 1, Mainz, Rheinland-Pfalz, Germany;
| | - Omar Hahad
- University Medical Center of the Johannes Gutenberg University Mainz, Cardiology 1, Mainz, Rheinland-Pfalz, Germany;
| | - Sadeer Al-Kindi
- Houston Methodist Debakey Heart & Vascular Center, Cardiovascular Prevention & Wellness and Center for CV Computational & Precision Health, Houston, Texas, United States;
| | - Matthias Oelze
- University Medical Center of the Johannes Gutenberg University Mainz, Cardiology 1, Mainz, Rheinland-Pfalz, Germany;
| | - Jos Lelieveld
- Max Planck Institute for Chemistry, Atmospheric Chemistry, Mainz, Rheinland-Pfalz, Germany;
| | - Andreas Daiber
- University Medical Center of the Johannes Gutenberg University Mainz, Cardiology 1, Mainz, Rheinland-Pfalz, Germany;
| | - Thomas Münzel
- University Medical Center of the Johannes Gutenberg University Mainz, Cardiology 1, Mainz, Rheinland-Pfalz, Germany;
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Chen J, Zhu S, Wang P, Zheng Z, Shi S, Li X, Xu C, Yu K, Chen R, Kan H, Zhang H, Meng X. Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171831. [PMID: 38521267 DOI: 10.1016/j.scitotenv.2024.171831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/13/2024] [Accepted: 03/18/2024] [Indexed: 03/25/2024]
Abstract
In Great Britain, limited studies have employed machine learning methods to predict air pollution especially ozone (O3) with high spatiotemporal resolution. This study aimed to address this gap by developing random forest models for four key pollutants (fine and inhalable particulate matter [PM2.5 and PM10], nitrogen dioxide [NO2] and O3) by integrating multiple-source predictors at a daily level and 1-km resolution. The out-of-bag R2 (root mean squared error, RMSE) between predictions from models and measurements from monitoring stations in 2006-2013 was 0.85 (3.63 μg/m3) for PM2.5, 0.77 (6.00 μg/m3) for PM10, 0.85 (9.71 μg/m3) for NO2, and 0.85 (9.39 μg/m3) for maximum daily 8-h average (MDA8) O3 at daily level, and the predicting accuracy was higher at monthly and annual level. The high-resolution predictions captured characterized spatiotemporal patterns of the four pollutants. Higher concentrations of PM2.5, PM10, and NO2 were distributed in densely populated southern regions of Great Britain while O3 showed an inverse spatial pattern in general, which could not be fully depicted by monitoring stations. Therefore, predictions produced in this study could improve exposure assessment with less exposure misclassification and flexible exposure windows for future epidemiological studies to investigate the impact of air pollution across Great Britain.
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Affiliation(s)
- Jiaxin Chen
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Shengqiang Zhu
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Peng Wang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai, 200438, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Zhonghua Zheng
- Department of Earth and Environmental Sciences, The University of Manchester, Manchester, UK
| | - Su Shi
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Xinyue Li
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Chang Xu
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Kexin Yu
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Renjie Chen
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Hongliang Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China.
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China.
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Luo L, Jiang M, Xiong Y, Xiong A, Zhang L, Wu D, Liu Y, Ran Q, Liu J, Zhang Y, Li J, He X, Wang J, Li G. Fine particulate matter 2.5 induces susceptibility to Pseudomonas aeruginosa infection via expansion of PD-L1 high neutrophils in mice. Respir Res 2024; 25:90. [PMID: 38355515 PMCID: PMC10865610 DOI: 10.1186/s12931-023-02640-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: 07/10/2023] [Accepted: 12/15/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Exposure to PM2.5 has been implicated in a range of detrimental health effects, particularly affecting the respiratory system. However, the precise underlying mechanisms remain elusive. METHODS To address this objective, we collected ambient PM2.5 and administered intranasal challenges to mice, followed by single-cell RNA sequencing (scRNA-seq) to unravel the heterogeneity of neutrophils and unveil their gene expression profiles. Flow cytometry and immunofluorescence staining were subsequently conducted to validate the obtained results. Furthermore, we assessed the phagocytic potential of neutrophils upon PM2.5 exposure using gene analysis of phagocytosis signatures and bacterial uptake assays. Additionally, we utilized a mouse pneumonia model to evaluate the susceptibility of PM2.5-exposed mice to Pseudomonas aeruginosa infection. RESULTS Our study revealed a significant increase in neutrophil recruitment within the lungs of PM2.5-exposed mice, with subclustering of neutrophils uncovering subsets with distinct gene expression profiles. Notably, exposure to PM2.5 was associated with an expansion of PD-L1high neutrophils, which exhibited impaired phagocytic function dependent upon PD-L1 expression. Furthermore, PM2.5 exposure was found to increase the susceptibility of mice to Pseudomonas aeruginosa, due in part to increased PD-L1 expression on neutrophils. Importantly, monoclonal antibody targeting of PD-L1 significantly reduced bacterial burden, dissemination, and lung inflammation in PM2.5-exposed mice upon Pseudomonas aeruginosa infection. CONCLUSIONS Our study suggests that PM2.5 exposure promotes expansion of PD-L1high neutrophils with impaired phagocytic function in mouse lungs, contributing to increased vulnerability to bacterial infection, and therefore targeting PD-L1 may be a therapeutic strategy for reducing the harmful effects of PM2.5 exposure on the immune system.
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Affiliation(s)
- Li Luo
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Manling Jiang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China
| | - Ying Xiong
- Department of Pulmonary and Critical Care Medicine, Sichuan Friendship Hospital, Chengdu, China
| | - Anying Xiong
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Lei Zhang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China
| | - Dehong Wu
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Yao Liu
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China
| | - Qin Ran
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Jiliu Liu
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Yi Zhang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Jiahuan Li
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- North Sichuan Medical College, Nanchong, China
| | - Xiang He
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China.
| | - Junyi Wang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China.
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China.
| | - Guoping Li
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China.
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Lin YK, Cheng CP, Kim H, Wang YC. Risk of ambulance services associated with ambient temperature, fine particulate and its constituents. Sci Rep 2021; 11:1651. [PMID: 33462328 PMCID: PMC7813819 DOI: 10.1038/s41598-021-81197-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 01/05/2021] [Indexed: 11/29/2022] Open
Abstract
Short-term adverse health effects of constituents of fine particles with aerodynamic diameters less than or equal to 2.5 μm (PM2.5) have been revealed. This study aimed to evaluate the real-time health outcome of ambulance services in association with ambient temperature and mass concentrations of total PM2.5 level and constituents in Kaohsiung City, an industrialized city with the worst air quality in Taiwan. Cumulative 6-day (lag0-5) relative risk (RR) and 95% confidence interval (CI) of daily ambulance services records of respiratory distress, coma and unconsciousness, chest pain, headaches/dizziness/vertigo/fainting/syncope, lying at public, and out-of-hospital cardiac arrest (OHCA) in association with ambient temperature and mass concentrations of total PM2.5 level and constituents (nitrate, sulfate, organic carbon (OC), and elemental carbon (EC)) from 2006 to 2010 were evaluated using a distributed lag non-linear model with quasi-Poisson function. Ambulance services of chest pain and OHCA were significantly associated with extreme high (30.8 °C) and low (18.2 °C) temperatures, with cumulative 6-day RRs ranging from 1.37 to 1.67 at the reference temperature of 24–25 °C. Daily total PM2.5 level had significant effects on ambulance services of lying at public and respiratory distress. After adjusting the cumulative 6-day effects of temperature and total PM2.5 level, RRs of ambulance services of lying at public associated with constituents at 90th percentile versus 25th percentile were 1.35 (95% CI: 1.08, 1.68) for sulfate and 1.20 (95% CI: 1.02, 1.41) for EC, while RR was 1.31 (95% CI: 1.09–1.58) for ambulance services of headache/dizziness/vertigo/fainting/syncope in association with OC at 90th percentile versus 25th percentile. Cause-specific ambulance services had various significant association with daily temperature, total PM2.5 level, and concentrations of constituents. Elemental carbon may have stronger associations with increased ambulance services than other constituents.
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Affiliation(s)
- Yu-Kai Lin
- Department of Health and Welfare, University of Taipei College of City Management, 101 Zhongcheng Road Sec. 2, Taipei, 111, Taiwan
| | - Chia-Pei Cheng
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, 200 Chung-Pei Road, Zhongli, 320, Taiwan
| | - Ho Kim
- Department of Epidemiology and Biostatistics, School of Public Health, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Yu-Chun Wang
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, 200 Chung-Pei Road, Zhongli, 320, Taiwan. .,Research Center for Environmental Changes, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan.
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5
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Health Impact of Air Pollution from Shipping in the Baltic Sea: Effects of Different Spatial Resolutions in Sweden. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17217963. [PMID: 33138267 PMCID: PMC7663031 DOI: 10.3390/ijerph17217963] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/23/2020] [Accepted: 10/27/2020] [Indexed: 02/06/2023]
Abstract
In 2015, stricter regulations to reduce sulfur dioxide emissions and particulate air pollution from shipping were implemented in the Baltic Sea. We investigated the effects on population exposure to particles <2.5 µm (PM2.5) from shipping and estimated related morbidity and mortality in Sweden’s 21 counties at different spatial resolutions. We used a regional model to estimate exposure in Sweden and a city-scale model for Gothenburg. Effects of PM2.5 exposure on total mortality, ischemic heart disease, and stroke were estimated using exposure–response functions from the literature and combining them into disability-adjusted life years (DALYS). PM2.5 exposure from shipping in Gothenburg decreased by 7% (1.6 to 1.5 µg/m3) using the city-scale model, and 35% (0.5 to 0.3 µg/m3) using the regional model. Different population resolutions had no effects on population exposures. In the city-scale model, annual premature deaths due to shipping PM2.5 dropped from 97 with the high-sulfur scenario to 90 in the low-sulfur scenario, and in the regional model from 32 to 21. In Sweden, DALYs lost due to PM2.5 from Baltic Sea shipping decreased from approximately 5700 to 4200. In conclusion, sulfur emission restrictions for shipping had positive effects on health, but the model resolution affects estimations.
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Liu W, Cai J, Huang C, Chang J. Residence proximity to traffic-related facilities is associated with childhood asthma and rhinitis in Shandong, China. ENVIRONMENT INTERNATIONAL 2020; 143:105930. [PMID: 32634669 DOI: 10.1016/j.envint.2020.105930] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 05/28/2020] [Accepted: 06/24/2020] [Indexed: 06/11/2023]
Abstract
Associations of asthma and rhinitis with residential traffic proximity were investigated in several studies, but conclusions were inconsistent. From January to April in 2015, a cross-sectional study was conducted in two cities of Shandong, China. Parents-reported questionnaires were collected from 69 kindergartens for 3-6-year-olds preschoolers. Here we investigated associations of four traffic-related facilities (main traffic road, automobile 4S shop, filling station, and ground car park) close to residence with childhood asthma and rhinitis under considering individual and residential characteristics. In the two-level (kindergarten-child) mixed-effect logistic regression analyses among 5640 children who did not change residences since birth, filling station close to residence within 100 m (reference: >200 m) was significantly associated with lifetime-ever asthma (adjusted odds ratio, 95% confidence interval: 2.63, 1.28-5.40), wheeze (2.06, 1.35-3.15), rhinitis (1.69, 1.08-2.64) and current (past 12 months prior to the survey) wheeze (2.11, 1.34-3.34) and rhinitis (1.65, 1.05-2.59). Numbers of the facilities close to residence had dose-response relationships with odds of asthma, wheeze and rhinitis symptoms. These dose-response relationships were generally stronger in children whose bedrooms were in the 1st-3rd floors, and in children with low ventilation in bedroom and kitchen, and in children from families who did not using natural gas for cooking. The similar associations were found in the sensitive analyses among all surveyed 9597 children. Our results indicate that residence close to the traffic-related facilities likely is a risk factor for the occurrence of asthma and rhinitis among preschool children. The studied associations could be modified by household ventilation and air pollutants.
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Affiliation(s)
- Wei Liu
- Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China
| | - Jiao Cai
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Jing Chang
- Department of Thermal Energy and Power Engineering, Shandong Jiaotong University, Jinan, China.
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7
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Kobayashi Y, Santos JM, Mill JG, Reis Júnior NC, Andreão WL, de A Albuquerque TT, Stuetz RM. Mortality risks due to long-term ambient sulphur dioxide exposure: large variability of relative risk in the literature. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:35908-35917. [PMID: 32008193 DOI: 10.1007/s11356-020-07867-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 01/24/2020] [Indexed: 06/10/2023]
Abstract
Several studies have been published about the potential health effects due to long-term exposure to sulphur dioxide (SO2) and the relative risks (RRs) for different causes of mortality. Broad differences in the RR values are found, however. In this study, we performed an analysis of these studies aiming finding potential explanations for the high variability of the RR reported. The RRs for stratified subgroups were also analysed to identify more susceptible subgroups. A total of 14 studies were identified. Some of them related strong associations between mortality and long-term ambient SO2 exposure, while others found insignificant or no associations to the same mortality indexes. The mean RR values ranged from 0.95 to 1.14 for mortality due to all causes, 0.99 to 3.05 for lung cancer, 0.87 to 1.3 for respiratory diseases, 0.96 to 1.14 cardiovascular diseases and 0.97 to 1.05 for cardiopulmonary diseases mortality. Among the factors that may affect the RR estimations, only the size of studied population and the spatial scales used in exposure assessment showed notable influences. The female population was found to be more susceptible to long-term SO2 exposure. For other stratified subgroups including age, smoking status and income levels, no obvious relationship with RR was observed.
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Affiliation(s)
- Yumi Kobayashi
- Department of Environmental Engineering, Universidade Federal do Espírito Santo, Vitória, 29060-970, Brazil
| | - Jane M Santos
- Department of Environmental Engineering, Universidade Federal do Espírito Santo, Vitória, 29060-970, Brazil.
| | - José Geraldo Mill
- Department of Physiological Sciences, Universidade Federal do Espírito Santo, Vitória, 29060-970, Brazil
| | - Neyval C Reis Júnior
- Department of Environmental Engineering, Universidade Federal do Espírito Santo, Vitória, 29060-970, Brazil
| | - Willian L Andreão
- Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-010, Brazil
| | - Taciana T de A Albuquerque
- Department of Environmental Engineering, Universidade Federal do Espírito Santo, Vitória, 29060-970, Brazil
- Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-010, Brazil
| | - Richard M Stuetz
- School of Civil and Environmental Engineering, University of New South Wales, Sydney, New South Wales, 2052, Australia
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Duan RR, Hao K, Yang T. Air pollution and chronic obstructive pulmonary disease. Chronic Dis Transl Med 2020; 6:260-269. [PMID: 33336171 PMCID: PMC7729117 DOI: 10.1016/j.cdtm.2020.05.004] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Indexed: 01/01/2023] Open
Abstract
There is considerable epidemiological evidence indicating that air pollution has adverse effects on human health and is closely related to respiratory diseases, including chronic obstructive pulmonary disease (COPD). These effects, which can be divided into short- and long-term effects, can manifest as an exacerbation of existing symptoms, impaired lung function, and increased hospitalization and mortality rates. Long-term exposure to air with a high concentration of pollutants may also increase the incidence of COPD. The combined effects of different pollutants may become more complex in the future; hence, there is a need for more intensive research on specific at-risk populations, and formulating corresponding protective strategies is crucial. We aimed to review the epidemiological evidence on the effect of air pollution on COPD, the possible pathophysiological mechanisms underlying this effect, as well as protective measures against the effects of air pollutants in patients with COPD.
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Affiliation(s)
- Rui-Rui Duan
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China.,Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China.,National Clinical Research Center for Respiratory Diseases, Beijing 100029, China.,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Ting Yang
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China.,Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China.,National Clinical Research Center for Respiratory Diseases, Beijing 100029, China.,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
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9
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Yang J, Zhou M, Zhang F, Yin P, Wang B, Guo Y, Tong S, Wang H, Zhang C, Sun Q, Song X, Liu Q. Diabetes mortality burden attributable to short-term effect of PM 10 in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:18784-18792. [PMID: 32207004 DOI: 10.1007/s11356-020-08376-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 03/09/2020] [Indexed: 05/06/2023]
Abstract
Ambient air pollution may be associated with diabetes mellitus. However, evidence from developing countries is limited although the concentrations of air pollution are disproportionably higher in these countries. We collected daily data on diabetes mortality, air pollution, and weather conditions from 16 Chinese provincial cities during 2007-2013. A quasi-Poisson regression combined with a distributed lag model was used to quantify the city-specific mortality risk of PM10 (particulate matter with aerodynamic diameter < 10 μm). Then, a random-effect meta-analysis was conducted to pool effect estimates from 16 cities. We also calculated the attributable fraction and attributable number of diabetes mortality due to PM10. Effects of PM10 were found to be acute and limited to 3 days. Harvesting effect of PM10 was found during lag 4-10 days on diabetes mortality. An increase of 0.17% (95%CI: 0.01-0.34), 0.48% (95%CI: 0.22-0.73), and 0.53% (95%CI: 0.27-0.80) in diabetes mortality was associated with per 10 μg/m3 increase in PM10 at lag 0, 0-4 and 0-10 days, respectively. Totally, 5.76% (95%CI: 2.59-8.00%) and 5878 (95%CI: 2639-8163) deaths due to diabetes could be attributable to PM10. If the concentration of PM10 attained the Chinese government and WHO targets, the reduction in number of PM2.5-attributed diabetes deaths was 2016 and 5528, respectively. Higher effect estimates of PM10 were observed among females and those aged 0-64 years old at lag 0 day, while greater cumulative effects of PM10 were among males, the elderly aged 75 or over, and the illiterate at lag 0-10 days. However, the between-group differences were not statistically significant. It is one of the few studies on examining the attributable burden of diabetes mortality caused by particulate matter. Our findings indicated that effective efforts on controlling air pollution could reduce a prominent number of air pollution-related diabetes deaths.
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Affiliation(s)
- Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China.
- Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China.
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China
| | - Fengying Zhang
- China National Environmental Monitoring Centre, Beijing, 100012, China
- CAPHRI School of Public Health and Primary Care, Maastricht University, Maastricht, Netherlands
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China
| | - Boguang Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
- Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Public Health and Institute of Environment and Population Health, Anhui Medical University, Hefei, China
- School of Public Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Hao Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
- Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Chunlin Zhang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
- Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Qinghua Sun
- Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA
| | - Xiuping Song
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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Fifteen Years of Airborne Particulates in Vitro Toxicology in Milano: Lessons and Perspectives Learned. Int J Mol Sci 2020; 21:ijms21072489. [PMID: 32260164 PMCID: PMC7177378 DOI: 10.3390/ijms21072489] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 03/10/2020] [Accepted: 04/01/2020] [Indexed: 12/13/2022] Open
Abstract
Air pollution is one of the world’s leading environmental causes of death. The epidemiological relationship between outdoor air pollution and the onset of health diseases associated with death is now well established. Relevant toxicological proofs are now dissecting the molecular processes that cause inflammation, reactive species generation, and DNA damage. In addition, new data are pointing out the role of airborne particulates in the modulation of genes and microRNAs potentially involved in the onset of human diseases. In the present review we collect the relevant findings on airborne particulates of one of the biggest hot spots of air pollution in Europe (i.e., the Po Valley), in the largest urban area of this region, Milan. The different aerodynamic fractions are discussed separately with a specific focus on fine and ultrafine particles that are now the main focus of several studies. Results are compared with more recent international findings. Possible future perspectives of research are proposed to create a new discussion among scientists working on the toxicological effects of airborne particles.
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Roca-Barcelo A, Douglas P, Fecht D, Sterrantino AF, Williams B, Blangiardo M, Gulliver J, Hayes ET, Hansell AL. Risk of respiratory hospital admission associated with modelled concentrations of Aspergillus fumigatus from composting facilities in England. ENVIRONMENTAL RESEARCH 2020; 183:108949. [PMID: 31902481 DOI: 10.1016/j.envres.2019.108949] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 11/18/2019] [Accepted: 11/18/2019] [Indexed: 06/10/2023]
Abstract
Bioaerosols have been associated with adverse respiratory-related health effects and are emitted in elevated concentrations from composting facilities. We used modelled Aspergillus fumigatus concentrations, a good indicator for bioaerosol emissions, to assess associations with respiratory-related hospital admissions. Mean daily Aspergillus fumigatus concentrations were estimated for each composting site for first full year of permit issue from 2005 onwards to 2014 for Census Output Areas (COAs) within 4 km of 76 composting facilities in England, as previously described (Williams et al., 2019). We fitted a hierarchical generalized mixed model to examine the risk of hospital admission with a primary diagnosis of (i) any respiratory condition, (ii) respiratory infections, (iii) asthma, (iv) COPD, (v) diseases due to organic dust, and (vi) Cystic Fibrosis, in relation to quartiles of Aspergillus fumigatus concentrations. Models included a random intercept for each COA to account for over-dispersion, nested within composting facility, on which a random intercept was fitted to account for clustering of the data, with adjustments for age, sex, ethnicity, deprivation, tobacco sales (smoking proxy) and traffic load (as a proxy for traffic-related air pollution). We included 249,748 respiratory-related and 3163 Cystic Fibrosis hospital admissions in 9606 COAs with a population-weighted centroid within 4 km of the 76 included composting facilities. After adjustment for confounders, no statistically significant effect was observed for any respiratory-related (Relative Risk (RR) = 0.99; 95% Confidence Interval (CI) 0.96-1.01) or for Cystic Fibrosis (RR = 1.01; 95% CI 0.56-1.83) hospital admissions for COAs in the highest quartile of exposure. Similar results were observed across all respiratory disease sub-groups. This study does not provide evidence for increased risks of respiratory-related hospitalisations for those living near composting facilities. However, given the limitations in the dispersion modelling, risks cannot be completely ruled out. Hospital admissions represent severe respiratory episodes, so further study would be needed to investigate whether bioaerosols emitted from composting facilities have impacts on less severe episodes or respiratory symptoms.
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Affiliation(s)
- Aina Roca-Barcelo
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - Philippa Douglas
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK; Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College London, London, SW3 6LR, UK; Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Harwell Campus, Didcot, Oxfordshire, OX11 0RQ, UK.
| | - Daniela Fecht
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - Anna Freni Sterrantino
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - Ben Williams
- Air Quality Management Resource Centre, University of the West of England, Faculty of Environment and Technology, Coldharbour Lane, Bristol, BS16 1QY, UK
| | - Marta Blangiardo
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - John Gulliver
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, LE1 7RH, UK
| | - Enda T Hayes
- Air Quality Management Resource Centre, University of the West of England, Faculty of Environment and Technology, Coldharbour Lane, Bristol, BS16 1QY, UK
| | - Anna L Hansell
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, LE1 7RH, UK; Directorate of Public Health and Primary Care, Imperial College Healthcare NHS Trust, London, W2 1NY, UK.
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12
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Richtwerte für Stickstoffdioxid (NO2) in der Innenraumluft. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2019; 62:664-676. [DOI: 10.1007/s00103-019-02891-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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13
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Residential Ambient Traffic in Relation to Childhood Pneumonia among Urban Children in Shandong, China: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15061076. [PMID: 29799501 PMCID: PMC6025011 DOI: 10.3390/ijerph15061076] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 05/21/2018] [Accepted: 05/22/2018] [Indexed: 12/21/2022]
Abstract
Pneumonia is a leading cause of childhood death. Few studies have investigated associations between residential ambient environmental exposures and pneumonia. In January⁻April 2015, we conducted a cross-sectional study in Shandong Province (China) and collected 9597 (response rate: 78.7%) parent-reported questionnaires for 3⁻6-year-old children from 69 urban kindergartens. We then selected 5640 children who had never changed residence since birth and examined associations between residential ambient traffic-related facilities and childhood pneumonia considering residential characteristics. Prevalence of doctor-diagnosed pneumonia during lifetime-ever was 25.9%. In the multivariate logistic regression analyses, residence close to a main traffic road (adjusted odds ratio, 95% confidence interval: 1.23, 1.08⁻1.40) and automobile 4S shop (1.76, 1.16⁻2.67) within 200 m, residence close to a filling station within 100 m (1.71, 1.10⁻2.65; reference: >200 m), as well as having a ground car park in the residential community (1.24, 1.08⁻1.42) were significantly associated with childhood pneumonia. The cumulative numbers of these traffic-related facilities had a positive dose-response relationship with the increased odds of childhood pneumonia. These associations and dose-response relationships were stronger among boys and among children with worse bedroom ventilation status during the night. Associations of residence close to the main traffic road and ground car parks in the residential community with childhood pneumonia were stronger among children living in the 1st⁻3rd floors than those living on higher floors. Similar results were found in the two-level (kindergarten-child) logistic regression analyses. Our findings indicate that living near traffic-related facilities is likely a risk factor for childhood pneumonia among urban children. The child's sex, bedroom floor level, and bedroom ventilation could modify associations of ambient traffic-related facilities with childhood pneumonia.
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Kim O, Kim SY, Kwon HY, Kim H. Data Issues and Suggestions in the National Health Insurance Service-National Sample Cohort for Assessing the Long-term Health Effects of Air Pollution Focusing on Mortality. ACTA ACUST UNITED AC 2017. [DOI: 10.21032/jhis.2017.42.1.89] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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