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Kalkavouras P, Grivas G, Stavroulas I, Petrinoli K, Bougiatioti A, Liakakou E, Gerasopoulos E, Mihalopoulos N. Source apportionment of fine and ultrafine particle number concentrations in a major city of the Eastern Mediterranean. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:170042. [PMID: 38232850 DOI: 10.1016/j.scitotenv.2024.170042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 01/02/2024] [Accepted: 01/07/2024] [Indexed: 01/19/2024]
Abstract
Ultrafine particles (UFP) are recognized as an emerging pollutant able to induce serious health effects. However, quantitative information regarding the contributions of UFP sources is generally limited. This study evaluates statistical (k-means clustering) and receptor models (Positive Matrix Factorization - PMF) using particle number size distributions (PNSD), along with chemical speciation data, measured at an urban background supersite in Athens, Greece, aiming to characterize their sources. PNSD measurements (10-487 nm) were performed during three distinct periods (warm, cold, and lockdown cold). Traffic and residential biomass burning (BB) produced high UFP number concentrations (NUFP) in the cold period (+107 % compared to summer), while the lockdown restrictions reduced NUFP (-42 %). The five groups produced by cluster analysis that were common among periods were linked to high- and low-traffic, new particle formation (NPF), urban background and regional aerosols. PMF source apportionment identified 5 and 6 factors during warm and cold periods, respectively, indicating that traffic particles dominated NUFP (64-78 % in all periods), while accumulation-mode particles and volume concentrations were controlled by processed aerosol, and especially in the cold periods by BB emissions. A nucleation factor linked to NPF contributed 7-11 % to NUFP. Comparing the two cold periods (business-as-usual, lockdown), important lockdown reductions (-46 %) were seen for fresh traffic contributions to total number concentration (Ntotal). The impact of the source attributed to NPF also eroded (-41 % for Ntotal). Due to the large reduction (-47 % for Ntotal) observed also for the BB source during the lockdown (reduced wood usage due to a milder winter), the relative contributions of all sources did not change considerably (fractional reductions <7 % for Ntotal). The quantitative results, bolstered by source apportionment combining PNSD and online chemical composition measurements, indicate the potential to constrain UFP levels by regulating traffic and residential emissions, with a large upside for population exposure control.
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Affiliation(s)
- Panayiotis Kalkavouras
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 11810 Athens, Greece; Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, 71003 Heraklion, Greece
| | - Georgios Grivas
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 11810 Athens, Greece.
| | - Iasonas Stavroulas
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 11810 Athens, Greece; Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, 71003 Heraklion, Greece
| | - Kalliopi Petrinoli
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 11810 Athens, Greece; Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, 71003 Heraklion, Greece
| | - Aikaterini Bougiatioti
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 11810 Athens, Greece
| | - Eleni Liakakou
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 11810 Athens, Greece
| | - Evangelos Gerasopoulos
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 11810 Athens, Greece
| | - Nikolaos Mihalopoulos
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 11810 Athens, Greece; Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, 71003 Heraklion, Greece.
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Vallabani NVS, Gruzieva O, Elihn K, Juárez-Facio AT, Steimer SS, Kuhn J, Silvergren S, Portugal J, Piña B, Olofsson U, Johansson C, Karlsson HL. Toxicity and health effects of ultrafine particles: Towards an understanding of the relative impacts of different transport modes. ENVIRONMENTAL RESEARCH 2023; 231:116186. [PMID: 37224945 DOI: 10.1016/j.envres.2023.116186] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 05/05/2023] [Accepted: 05/15/2023] [Indexed: 05/26/2023]
Abstract
Exposure to particulate matter (PM) has been associated with a wide range of adverse health effects, but it is still unclear how particles from various transport modes differ in terms of toxicity and associations with different human health outcomes. This literature review aims to summarize toxicological and epidemiological studies of the effect of ultrafine particles (UFPs), also called nanoparticles (NPs, <100 nm), from different transport modes with a focus on vehicle exhaust (particularly comparing diesel and biodiesel) and non-exhaust as well as particles from shipping (harbor), aviation (airport) and rail (mainly subway/underground). The review includes both particles collected in laboratory tests and the field (intense traffic environments or collected close to harbor, airport, and in subway). In addition, epidemiological studies on UFPs are reviewed with special attention to studies aimed at distinguishing the effects of different transport modes. Results from toxicological studies indicate that both fossil and biodiesel NPs show toxic effects. Several in vivo studies show that inhalation of NPs collected in traffic environments not only impacts the lung, but also triggers cardiovascular effects as well as negative impacts on the brain, although few studies compared NPs from different sources. Few studies were found on aviation (airport) NPs, but the available results suggest similar toxic effects as traffic-related particles. There is still little data related to the toxic effects linked to several sources (shipping, road and tire wear, subway NPs), but in vitro results highlighted the role of metals in the toxicity of subway and brake wear particles. Finally, the epidemiological studies emphasized the current limited knowledge of the health impacts of source-specific UFPs related to different transport modes. This review discusses the necessity of future research for a better understanding of the relative potencies of NPs from different transport modes and their use in health risk assessment.
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Affiliation(s)
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Karine Elihn
- Department of Environmental Science, Stockholm University, 11418, Stockholm, Sweden
| | | | - Sarah S Steimer
- Department of Environmental Science, Stockholm University, 11418, Stockholm, Sweden
| | - Jana Kuhn
- Institute of Environmental Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Sanna Silvergren
- Environment and Health Administration, 104 20, Stockholm, Sweden
| | - José Portugal
- Institute of Environmental Assessment and Water Research, CSIC, 08034, Barcelona, Spain
| | - Benjamin Piña
- Institute of Environmental Assessment and Water Research, CSIC, 08034, Barcelona, Spain
| | - Ulf Olofsson
- Department of Machine Design, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Christer Johansson
- Department of Environmental Science, Stockholm University, 11418, Stockholm, Sweden; Environment and Health Administration, 104 20, Stockholm, Sweden
| | - Hanna L Karlsson
- Institute of Environmental Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
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Schwarz M, Schneider A, Cyrys J, Bastian S, Breitner S, Peters A. Impact of ultrafine particles and total particle number concentration on five cause-specific hospital admission endpoints in three German cities. ENVIRONMENT INTERNATIONAL 2023; 178:108032. [PMID: 37352580 DOI: 10.1016/j.envint.2023.108032] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/07/2023] [Accepted: 06/09/2023] [Indexed: 06/25/2023]
Abstract
INTRODUCTION Numerous studies have shown associations between daily concentrations of fine particles (e.g., particulate matter with an aerodynamic diameter ≤2.5 µm; PM2.5) and morbidity. However, evidence for ultrafine particles (UFP; particles with an aerodynamic diameter of 10-100 nm) remains conflicting. Therefore, we aimed to examine the short-term associations of UFP with five cause-specific hospital admission endpoints for Leipzig, Dresden, and Augsburg, Germany. MATERIAL AND METHODS We obtained daily counts of (cause-specific) cardiorespiratory hospital admissions between 2010 and 2017. Daily average concentrations of UFP, total particle number (PNC; 10-800 nm), and black carbon (BC) were measured at six sites; PM2.5 and nitrogen dioxide (NO2) were obtained from monitoring networks. We assessed immediate (lag 0-1), delayed (lag 2-4, lag 5-7), and cumulative (lag 0-7) effects by applying station-specific confounder-adjusted Poisson regression models. We then used a novel multi-level meta-analytical method to obtain pooled risk estimates. Finally, we performed two-pollutant models to investigate interdependencies between pollutants and examined possible effect modification by age, sex, and season. RESULTS UFP showed a delayed (lag 2-4) increase in respiratory hospital admissions of 0.69% [95% confidence interval (CI): -0.28%; 1.67%]. For other hospital admission endpoints, we found only suggestive results. Larger particle size fractions, such as accumulation mode particles (particles with an aerodynamic diameter of 100-800 nm), generally showed stronger effects (respiratory hospital admissions & lag 2-4: 1.55% [95% CI: 0.86%; 2.25%]). PM2.5 showed the most consistent associations for (cardio-)respiratory hospital admissions, whereas NO2 did not show any associations. Two-pollutant models showed independent effects of PM2.5 and BC. Moreover, higher risks have been observed for children. CONCLUSIONS We observed clear associations with PM2.5 but UFP or PNC did not show a clear association across different exposure windows and cause-specific hospital admissions. Further multi-center studies are needed using harmonized UFP measurements to draw definite conclusions on the health effects of UFP.
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Affiliation(s)
- Maximilian Schwarz
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany.
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Josef Cyrys
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Susanne Bastian
- Saxon State Office for Environment, Agriculture and Geology (LfULG), Dresden, Germany
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Lee KS, Min WK, Choi YJ, Jin S, Park KH, Kim S. The Effect of Maternal Exposure to Air Pollutants and Heavy Metals during Pregnancy on the Risk of Neurological Disorders Using the National Health Insurance Claims Data of South Korea. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59050951. [PMID: 37241184 DOI: 10.3390/medicina59050951] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/15/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023]
Abstract
The objective of this study was to evaluate the effects of high levels of maternal exposure to ambient air pollution and heavy metals on risks of autism spectrum disorder (ASD) and epilepsy using the National Health Insurance claims data of South Korea. The data of mothers and their newborns from 2016 to 2018 provided by the National Health Insurance Service were used (n = 843,134). Data on exposure to ambient air pollutants (PM2.5, CO, SO2, NO2, and O3) and heavy metals (Pb, Cd, Cr, Cu, Mn, Fe, Ni, and As) during pregnancy were matched based on the mother's National Health Insurance registration area. SO2 (OR: 2.723, 95% CI: 1.971-3.761) and Pb (OR: 1.063, 95% CI: 1.019-1.11) were more closely associated with the incidence of ASD when infants were exposed to them in the third trimester of pregnancy. Pb (OR: 1.109, 95% CI: 1.043-1.179) in the first trimester of pregnancy and Cd (OR: 2.193, 95% CI: 1.074-4.477) in the third trimester of pregnancy were associated with the incidence of epilepsy. Thus, exposure to SO2, NO2, and Pb during pregnancy could affect the development of a neurologic disorder based on the timing of exposure, suggesting a relationship with fetal development. However, further research is needed.
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Affiliation(s)
- Kuen Su Lee
- Department of Anesthesiology and Pain Medicine, Eulji University Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu 11759, Republic of Korea
| | - Won Kee Min
- Department of Anesthesiology and Pain Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan 15355, Republic of Korea
| | - Yoon Ji Choi
- Department of Anesthesiology and Pain Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan 15355, Republic of Korea
| | - Sejong Jin
- Department of Neuroscience, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Kyu Hee Park
- Department of Pediatrics, Korea University Ansan Hospital, Ansan 15355, Republic of Korea
| | - Suhyun Kim
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Republic of Korea
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Han B, Xu J, Zhang Y, Li P, Li K, Zhang N, Han J, Gao S, Wang X, Geng C, Yang W, Zhang L, Bai Z. Associations of Exposure to Fine Particulate Matter Mass and Constituents with Systemic Inflammation: A Cross-Sectional Study of Urban Older Adults in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:7244-7255. [PMID: 35148063 DOI: 10.1021/acs.est.1c04488] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Systemic inflammation is a key mechanism in the development of cardiovascular diseases induced by exposure to fine particles (particles with aerodynamic diameter ≤2.5 μm [PM2.5]). However, little is known about the effects of chemical constituents of PM2.5 on systemic inflammation. In this cross-sectional study, filter samples of personal exposure to PM2.5 were collected from community-dwelling older adults in Tianjin, China, and the chemical constituents of PM2.5 were analyzed. Blood samples were collected immediately after the PM2.5 sample collection. Seventeen cytokines were measured as targets. A linear regression model was applied to estimate the relative effects of PM2.5 and its chemical constituents on the measured cytokines. A positive matrix factorization model was employed to distinguish the sources of PM2.5. The calculated source contributions were used to estimate their effects on cytokines. After adjusting for other covariates, higher PM2.5-bound copper was significantly associated with increased levels of interleukin (IL)1β, IL6, IL10, and IL17 levels. Source analysis showed that an increase in PM2.5 concentration that originated from tire/brake wear and cooking emissions was significantly associated with enhanced levels of IL1β, IL6, tumor necrosis factor alpha (TNFα), and IL17. In summary, personal exposure to some PM2.5 constituents and specific sources could increase systemic inflammation in older adults. These findings may explain the cardiopulmonary effects of specific particulate chemical constituents of urban air pollution.
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Affiliation(s)
- Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yujuan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Penghui Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Kangwei Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, IRCELYON, Villeurbanne 69626, France
| | - Nan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jinbao Han
- School of Quality and Technical Supervision, Hebei University, Baoding 071002, China
| | - Shuang Gao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Xinhua Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Chunmei Geng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Wen Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Zou X, Fang J, Yang Y, Wu R, Wang S, Xu H, Jia J, Yang H, Yuan N, Hu M, Zhao Y, Xie Y, Zhu Y, Wang T, Deng Y, Song X, Ma X, Huang W. Maternal exposure to traffic-related ambient particles and risk of gestational diabetes mellitus with isolated fasting hyperglycaemia: A retrospective cohort study in Beijing, China. Int J Hyg Environ Health 2022; 242:113973. [PMID: 35447399 DOI: 10.1016/j.ijheh.2022.113973] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 04/12/2022] [Accepted: 04/13/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Ambient particles have been associated with gestational diabetes mellitus (GDM), however, no study has evaluated the effects of traffic-related ambient particles on the risks of GDM subgroups classified by oral glucose tolerance test (OGTT) values. METHODS A retrospective analysis was conducted among 24,001 pregnant women who underwent regular prenatal care and received OGTT at Haidian Maternal and Child Health Hospital in Beijing, China, 2014-2017. A total of 3,168 (13.2%) pregnant women were diagnosed with GDM, including 1,206 with isolated fasting hyperglycaemia (GDM-IFH). At a fixed-location monitoring station, routinely monitored ambient particles included fine particulate matter (PM2.5), black carbon (BC) and particles in size ranges of 5-560 nm (PNC5-560). Contributions of PNC5-560 sources were apportioned by positive matrix factorization model. Logistic regression model was applied to estimate odds ratio (OR) of ambient particles on GDM risk. RESULTS Among the 24,001 pregnancy women recruited in this study, 3,168 (13.2%) were diagnosed with GDM, including 1,206 with isolated fasting hyperglycaemia (GDM-IFH) and 1,295 with isolated post-load hyperglycaemia (GDM-IPH). We observed increased GDM-IFH risk with per interquartile range increase in first-trimester exposures to PM2.5 (OR = 1.94; 95% Confidence Intervals: 1.23-3.07), BC (OR = 2.14; 1.73-2.66) and PNC5-560 (OR = 2.46; 1.90-3.19). PNC5-560 originated from diesel and gasoline vehicle emissions were found in associations with increases in GDM-IFH risk, but not in GDM-IPH risk. CONCLUSION Our findings suggest that exposure to traffic-related ambient particles may increase GDM risk by exerting adverse effects on fasting glucose levels during pregnancy, and support continuing efforts to reduce traffic emissions for protecting vulnerable population who are at greater risk of glucose metabolism disorder.
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Affiliation(s)
- Xiaoxuan Zou
- Hadian Maternal and Child Health Hospital, Haidian District, Beijing, China
| | - Jiakun Fang
- Department of Occupational and Environmental Health, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, China; Graduate School of Peking Union Medical College, Dongcheng District, Beijing, China; National Human Genetic Resources Center, Haidian District, Beijing, China.
| | - Rongshan Wu
- Department of Occupational and Environmental Health, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Shuo Wang
- Hadian Maternal and Child Health Hospital, Haidian District, Beijing, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China
| | - Jiajing Jia
- National Research Institute for Family Planning, China; Graduate School of Peking Union Medical College, Dongcheng District, Beijing, China
| | - Haishan Yang
- Hadian Maternal and Child Health Hospital, Haidian District, Beijing, China
| | - Ningman Yuan
- Department of Occupational and Environmental Health, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China
| | - Meina Hu
- Hadian Maternal and Child Health Hospital, Haidian District, Beijing, China
| | - Yinzhu Zhao
- Hadian Maternal and Child Health Hospital, Haidian District, Beijing, China
| | - Yunfei Xie
- Department of Occupational and Environmental Health, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China
| | - Yutong Zhu
- Department of Occupational and Environmental Health, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China
| | - Tong Wang
- Department of Occupational and Environmental Health, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China
| | - Yuzhi Deng
- National Research Institute for Family Planning, China; Graduate School of Peking Union Medical College, Dongcheng District, Beijing, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China
| | - Xu Ma
- National Research Institute for Family Planning, China; Graduate School of Peking Union Medical College, Dongcheng District, Beijing, China; National Human Genetic Resources Center, Haidian District, Beijing, China
| | - Wei Huang
- Hadian Maternal and Child Health Hospital, Haidian District, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China.
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7
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Fang J, Yang Y, Zou X, Xu H, Wang S, Wu R, Jia J, Xie Y, Yang H, Yuan N, Hu M, Deng Y, Zhao Y, Wang T, Zhu Y, Ma X, Fan M, Wu J, Song X, Huang W. Maternal exposures to fine and ultrafine particles and the risk of preterm birth from a retrospective study in Beijing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:151488. [PMID: 34742962 DOI: 10.1016/j.scitotenv.2021.151488] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/02/2021] [Accepted: 11/02/2021] [Indexed: 06/13/2023]
Abstract
Maternal exposure to fine particulate matter (PM2.5) has been associated with increased risk of preterm birth (PTB), but evidence on particles in smaller sizes and PTB risk remains limited. In this retrospective analysis, we included birth records of 24,001 singleton live births from Haidian Maternal and Child Health Hospital in Beijing, China, 2014-2017. Concurrently, number concentrations of size-fractioned particles in size ranges of 5-560 nm (PNC5-560) and mass concentrations of PM2.5, black carbon (BC) and gaseous pollutants were measured from a fixed-location monitoring station in central Haidian District. Logistic regression models were used to estimate the odds ratio (OR) of air pollutants on PTB risk after controlling for temperature, relative humidity, and individual covariates (e.g., maternal age, ethnicity, gravidity, parity, gestational weight gain, fetal gender, the year and season of conception). Positive matrix factorization models were then used to apportion the sources of PNC5-560. Among the 1062 (4.4%) PTBs, increased PTB risk was observed during the third trimester of pregnancy per 10 μg/m3 increase in PM2.5 [OR = 1.92; 95% Confidence Interval (95% CI): 1.76, 2.09], per 1000 particles/cm3 increase in PNC25-100 (OR = 1.09; 95% CI: 1.03, 1.15) and PNC100-560 (OR = 1.22; 95% CI: 1.05, 1.42). Among the identified sources of PNC5-560, emissions from gasoline and diesel vehicles were significantly associated with increased PTB risk, with ORs of 1.14 (95% CI: 1.01, 1.29) and 1.11 (95% CI: 1.04, 1.18), respectively. Exposures to other traffic-related air pollutants, such as BC and nitrogen dioxide (NO2) were also significantly associated with increased PTB risk. Our findings highlight the importance of traffic emission reduction in urban areas.
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Affiliation(s)
- Jiakun Fang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China; Graduate School of Peking Union Medical College, Beijing, China; National Human Genetic Resources Center, Beijing, China.
| | - Xiaoxuan Zou
- Hadian Maternal and Child Health Hospital, Beijing, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Shuo Wang
- Hadian Maternal and Child Health Hospital, Beijing, China
| | - Rongshan Wu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Jiajing Jia
- Graduate School of Peking Union Medical College, Beijing, China
| | - Yunfei Xie
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Haishan Yang
- Graduate School of Peking Union Medical College, Beijing, China
| | - Ningman Yuan
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Meina Hu
- Graduate School of Peking Union Medical College, Beijing, China
| | - Yuzhi Deng
- Graduate School of Peking Union Medical College, Beijing, China
| | - Yinzhu Zhao
- Graduate School of Peking Union Medical College, Beijing, China
| | - Tong Wang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Yutong Zhu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Xu Ma
- National Human Genetic Resources Center, Beijing, China; Hadian Maternal and Child Health Hospital, Beijing, China; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Meng Fan
- Aerospace Information Research Institute, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing, China
| | - Jianbin Wu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Wei Huang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China.
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8
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Fang J, Song X, Xu H, Wu R, Song J, Xie Y, Xu X, Zeng Y, Wang T, Zhu Y, Yuan N, Jia J, Xu B, Huang W. Associations of ultrafine and fine particles with childhood emergency room visits for respiratory diseases in a megacity. Thorax 2021; 77:391-397. [PMID: 34301742 DOI: 10.1136/thoraxjnl-2021-217017] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 06/26/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND Ambient fine particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5) has been associated with deteriorated respiratory health, but evidence on particles in smaller sizes and childhood respiratory health has been limited. METHODS We collected time-series data on daily respiratory emergency room visits (ERVs) among children under 14 years old in Beijing, China, during 2015-2017. Concurrently, size-fractioned number concentrations of particles in size ranges of 5-560 nm (PNC5-560) and mass concentrations of PM2.5, black carbon (BC) and nitrogen dioxide (NO2) were measured from a fixed-location monitoring station in the urban area of Beijing. Confounder-adjusted Poisson regression models were used to estimate excessive risks (ERs) of particle size fractions on childhood respiratory ERVs, and positive matrix factorisation models were applied to apportion the sources of PNC5-560. RESULTS Among the 136 925 cases of all-respiratory ERVs, increased risks were associated with IQR increases in PNC25-100 (ER=5.4%, 95% CI 2.4% to 8.6%), PNC100-560 (4.9%, 95% CI 2.5% to 7.3%) and PM2.5 (1.3%, 95% CI 0.1% to 2.5%) at current and 1 prior days (lag0-1). Major sources of PNC5-560 were identified, including nucleation (36.5%), gasoline vehicle emissions (27.9%), diesel vehicle emissions (18.9%) and secondary aerosols (10.6%). Emissions from gasoline and diesel vehicles were found of significant associations with all-respiratory ERVs, with increased ERs of 6.0% (95% CI 2.5% to 9.7%) and 4.4% (95% CI 1.7% to 7.1%) at lag0-1 days, respectively. Exposures to other traffic-related pollutants (BC and NO2) were also associated with increased respiratory ERVs. CONCLUSION Our findings suggest that exposures to higher levels of PNC5-560 from traffic emissions could be attributed to increased childhood respiratory morbidity, which supports traffic emission control priority in urban areas.
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Affiliation(s)
- Jiakun Fang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Rongshan Wu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China.,State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Jing Song
- Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Yunfei Xie
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Xin Xu
- Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Yueping Zeng
- Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Tong Wang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Yutong Zhu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Ningman Yuan
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Jinzhu Jia
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China
| | - Baoping Xu
- Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Wei Huang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China .,Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
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9
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Samoli E, Rodopoulou S, Schneider A, Morawska L, Stafoggia M, Renzi M, Breitner S, Lanki T, Pickford R, Schikowski T, Enembe O, Zhang S, Zhao Q, Peters A. Meta-analysis on short-term exposure to ambient ultrafine particles and respiratory morbidity. Eur Respir Rev 2020; 29:29/158/200116. [PMID: 33115789 PMCID: PMC9488642 DOI: 10.1183/16000617.0116-2020] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 05/22/2020] [Indexed: 11/24/2022] Open
Abstract
Aim There is growing interest in the health effects following exposure to ambient particles with a diameter <100 nm defined as ultrafine particles (UFPs), although studies so far have reported inconsistent results. We have undertaken a systematic review and meta-analysis for respiratory hospital admissions and emergency room visits following short-term exposure to UFPs. Methods We searched PubMed and the Web of Science for studies published up to March 2019 to update previous reviews. We applied fixed- and random-effects models, assessed heterogeneity between cities and explored possible effect modifiers. Results We identified nine publications, reporting effects from 15 cities, 11 of which were European. There was great variability in exposure assessment, outcome measures and the exposure lags considered. Our meta-analyses did not support UFP effects on respiratory morbidity across all ages. We found consistent statistically significant associations following lag 2 exposure during the warm period and in cities with mean daily UFP concentrations <6000 particles·cm‒3, which was approximately the median of the city-specific mean levels. Among children aged 0–14 years, a 10 000 particle·cm‒3 increase in UFPs 2 or 3 days before was associated with a relative risk of 1.01 (95% CI 1.00–1.02) in respiratory hospital admissions. Conclusions Our study indicates UFP effects on respiratory health among children, and during the warm season across all ages at longer lags. The limited evidence and the large heterogeneity of previous reports call for future exposure assessment harmonisation and expanded research. Studies on short-term exposure to ultrafine particles and respiratory admissions show large variability in the exposure assessment methodology. We found indications of effects in lower concentrations, children and during the warm period of the year.https://bit.ly/2zynMza
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Affiliation(s)
- Evangelia Samoli
- Dept of Hygiene, Epidemiology and Medical Statistics, Medical school, National and Kapodistrian University of Athens, Athens, Greece
| | - Sophia Rodopoulou
- Dept of Hygiene, Epidemiology and Medical Statistics, Medical school, National and Kapodistrian University of Athens, Athens, Greece
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Lidia Morawska
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Australia
| | | | - Matteo Renzi
- Dept of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,IBE-Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany
| | - Timo Lanki
- Finnish Institute for Health and Welfare, Kuopio, Finland.,University of Eastern Finland, Dept of Environmental and Biological Sciences, Kuopio, Finland.,University of Eastern Finland, School of Medicine, Kuopio, Finland
| | - Regina Pickford
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Tamara Schikowski
- Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Okokon Enembe
- Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Siqi Zhang
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Qi Zhao
- Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,IBE-Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany
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10
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Pfeffer PE, Mudway IS, Grigg J. Air Pollution and Asthma: Mechanisms of Harm and Considerations for Clinical Interventions. Chest 2020; 159:1346-1355. [PMID: 33461908 DOI: 10.1016/j.chest.2020.10.053] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 10/08/2020] [Accepted: 10/18/2020] [Indexed: 12/15/2022] Open
Abstract
There is global concern regarding the harmful impact of polluted air on the respiratory health of patients with asthma. Multiple epidemiologic studies have shown ongoing associations between high levels of air pollution and poor early life lung growth, development of allergic sensitization, development of asthma, airway inflammation, acutely impaired lung function, respiratory tract infections, and asthma exacerbations. However, studies have often yielded inconsistent findings, and not all studies have found significant associations; this may be related to both variations in statistical, measurement, and modeling methodologies between studies as well as differences in the concentrations and composition of air pollution globally. Overall, this variation in findings suggests we still do not fully understand the effects of ambient pollution on the lungs and on the evolution and exacerbation of airway diseases. There is clearly a need to augment epidemiologic studies with experimental studies to clarify the underlying mechanistic basis for the adverse responses reported and to identify the key gaseous and particle-related components within the complex air pollution mixture driving these outcomes. Some progress toward these aims has been made. This article reviews studies providing an improved understanding of causal pathways linking air pollution to asthma development and exacerbation. The article also considers potential strategies to reduce asthma morbidity and mortality through regulation and behavioral/pharmacologic interventions, including a consideration of pollutant avoidance strategies and antioxidant and/or vitamin D supplementation.
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Affiliation(s)
- Paul E Pfeffer
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, England.
| | - Ian S Mudway
- MRC Centre for Environment and Health Asthma UK Centre in Allergic Mechanisms of Asthma and NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, England
| | - Jonathan Grigg
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, England
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11
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Camiña N, Ho TR, Hawrylowicz CM, Mudway IS. WITHDRAWN: Allergic mechanisms of asthma are enhanced during the summer with oxidant PM 10 components. Free Radic Biol Med 2020:S0891-5849(20)31198-9. [PMID: 32827640 DOI: 10.1016/j.freeradbiomed.2020.08.003] [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] [Received: 07/15/2020] [Accepted: 08/10/2020] [Indexed: 11/23/2022]
Abstract
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.
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Affiliation(s)
- Nuria Camiña
- MRC Centre for Environment and Health, Department of Analytical, Environmental & Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, 150 Stamford Street, London, SE1 9NH, UK
| | - Tzer-Ren Ho
- MRC and Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - Catherine M Hawrylowicz
- MRC and Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - Ian S Mudway
- MRC Centre for Environment and Health, Department of Analytical, Environmental & Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, 150 Stamford Street, London, SE1 9NH, UK
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12
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Gómez-Budia M, Konttinen H, Saveleva L, Korhonen P, Jalava PI, Kanninen KM, Malm T. Glial smog: Interplay between air pollution and astrocyte-microglia interactions. Neurochem Int 2020; 136:104715. [DOI: 10.1016/j.neuint.2020.104715] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/05/2020] [Accepted: 03/06/2020] [Indexed: 12/15/2022]
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13
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Hakkarainen H, Aakko-Saksa P, Sainio M, Ihantola T, Rönkkö TJ, Koponen P, Rönkkö T, Jalava PI. Toxicological evaluation of exhaust emissions from light-duty vehicles using different fuel alternatives in sub-freezing conditions. Part Fibre Toxicol 2020; 17:17. [PMID: 32460782 PMCID: PMC7251820 DOI: 10.1186/s12989-020-00348-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 05/04/2020] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Emissions from road traffic are under constant discussion since they pose a major threat to human health despite the increasingly strict emission targets and regulations. Although the new passenger car regulations have been very effective in reducing the particulate matter (PM) emissions, the aged car fleet in some EU countries remains a substantial source of PM emissions. Moreover, toxicity of PM emissions from multiple new types of bio-based fuels remain uncertain and different driving conditions such as the sub-zero running temperature has been shown to affect the emissions. Overall, the current literature and experimental knowledge on the toxicology of these PM emissions and conditions is scarce. METHODS In the present study, we show that exhaust gas PM from newly regulated passenger cars fueled by different fuels at sub-zero temperatures, induce toxicological responses in vitro. We used exhaust gas volume-based PM doses to give us better insight on the real-life exposure and included one older diesel car to estimate the effect of the new emissions regulations. RESULTS In cars compliant with the new regulations, gasoline (E10) displayed the highest PM concentrations and toxicological responses, while the higher ethanol blend (E85) resulted in slightly lower exhaust gas PM concentrations and notably lower toxicological responses in comparison. Engines powered by modern diesel and compressed natural gas (CNG) yielded the lowest PM concentrations and toxicological responses. CONCLUSIONS The present study shows that toxicity of the exhaust gas PM varies depending on the fuels used. Additionally, concentration and toxicity of PM from an older diesel car were vastly higher, compared to contemporary vehicles, indicating the beneficial effects of the new emissions regulations.
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Affiliation(s)
- Henri Hakkarainen
- Inhalation toxicology laboratory, Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
| | - Päivi Aakko-Saksa
- VTT Technical Research Centre of Finland, VTT, P.O. Box 1000, 02044, Espoo, Finland
| | - Maija Sainio
- Inhalation toxicology laboratory, Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland
| | - Tuukka Ihantola
- Inhalation toxicology laboratory, Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland
| | - Teemu J Rönkkö
- Inhalation toxicology laboratory, Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland
| | - Päivi Koponen
- VTT Technical Research Centre of Finland, VTT, P.O. Box 1000, 02044, Espoo, Finland
| | - Topi Rönkkö
- Aerosol Physics Laboratory, Physics Unit, Tampere University, P.O. Box 692, 33014, Tampere, Finland
| | - Pasi I Jalava
- Inhalation toxicology laboratory, Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland
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14
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Li Q, Yi Q, Tang L, Luo S, Tang Y, Zhang G, Luo Z. Influence of Ultrafine Particles Exposure on Asthma Exacerbation in Children: A Meta-Analysis. Curr Drug Targets 2020; 20:412-420. [PMID: 30156156 DOI: 10.2174/1389450119666180829114252] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 07/27/2018] [Accepted: 08/27/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND Air pollution is a major cause of asthma exacerbation. Most studies have shown that exposure to coarse and fine particulate matter is associated with asthma exacerbation. Ultrafine particles (UFPs, aerodynamic diameter ≤ 0.1 µm) are the smallest airborne particles, which are capable of penetrating deep into the lungs. Toxicological studies have suggested that exposure to UFPs may have serious effects on respiratory health. However, epidemiological evidence on the effects of UFPs exposure on asthma exacerbation in children remains unclear. OBJECTIVE We conducted a meta-analysis to quantitatively assess the effects of exposure to UFPs on childhood asthma exacerbation. METHODS We searched four databases for epidemiological studies published until March 20, 2018. Pooled Odds Ratios (OR) and 95% confidence intervals (95% CIs) per 10000 particles/cm3 were estimated using fixed-effect models. Subgroup analyses, sensitivity analyses, and Begg's and Egger's regression were also performed. RESULTS Eight moderate-high quality studies with 51542 events in total satisfied the inclusion criteria. Exposure to UFPs showed a positive association with childhood asthma exacerbation [OR (95% CI): 1.070 (1.037, 1.104)], increased asthma-associated emergency department visits [OR (95% CI): 1.111 (1.055, 1.170)], and asthma-associated hospital admissions [OR (95% CI): 1.045 (1.004, 1.088)] and had a stronger association with childhood asthma exacerbation at long lags [OR (95% CI):1.060 (1.039, 1.082)]. A low heterogeneity and no publication bias were detected. CONCLUSION Exposure to UFPs may increase the risk of asthma exacerbation and may be strongly associated with childhood asthma exacerbation at long lags.
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Affiliation(s)
- Qinyuan Li
- Key Laboratory of Pediatrics in Chongqing, Chongqing 401122, China.,Department of Children's Hospital of Chongqing Medical University of Education Key Laboratory of Child Development and Disorders, Chongqing 401122, China
| | - Qian Yi
- Key Laboratory of Pediatrics in Chongqing, Chongqing 401122, China.,Department of Children's Hospital of Chongqing Medical University of Education Key Laboratory of Child Development and Disorders, Chongqing 401122, China
| | - Lin Tang
- Key Laboratory of Pediatrics in Chongqing, Chongqing 401122, China.,Department of Children's Hospital of Chongqing Medical University of Education Key Laboratory of Child Development and Disorders, Chongqing 401122, China
| | - Siying Luo
- Key Laboratory of Pediatrics in Chongqing, Chongqing 401122, China.,Department of Children's Hospital of Chongqing Medical University of Education Key Laboratory of Child Development and Disorders, Chongqing 401122, China
| | - Yuan Tang
- Key Laboratory of Pediatrics in Chongqing, Chongqing 401122, China.,Department of Children's Hospital of Chongqing Medical University of Education Key Laboratory of Child Development and Disorders, Chongqing 401122, China
| | - Guangli Zhang
- Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing 401122, China
| | - Zhengxiu Luo
- Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing 401122, China
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15
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Caggiano R, Sabia S, Speranza A. Trace elements and human health risks assessment of finer aerosol atmospheric particles (PM 1). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:36423-36433. [PMID: 31728947 DOI: 10.1007/s11356-019-06756-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 10/14/2019] [Indexed: 05/16/2023]
Abstract
The present study investigated PM1 (aerosol particles with an aerodynamic diameter ≤ 1.0 μm) mass concentrations and sixteen (Al, Ca, Cd, Cr, Cu, Fe, K, Li, Mg, Mn, Na, Ni, Pb, S, Ti, and Zn) PM1-related trace elements. PM1 samples were collected in an anthropized area of international attention close to oil/gas pre-treatment plants in Agri Valley (Southern Italy). The PM1 mass concentrations varied from 3 to 16 μg/m3. The decreasing pattern of the trace element concentrations was S > Ca > Na > K ≈ Mg ≈ Fe> Al > Li > Cr > Zn > Ti> Cu > Ni ≈ Mn > Pb ≈ Cd. Anthropogenic local emissions such as biomass burning, vehicular traffic, and industrial sources mainly related to oil/gas pre-treatment plants were identified by the principal component analysis. Further, air mass back-trajectory analyses suggest an important contribute to the long-range transport on PM1 at Agri Valley. The carcinogenic (Cd, Cr(VI), Ni, and Pb) and non-carcinogenic (Cd, Cr(VI), Cu, Mn, Ni, Pb, and Zn) health risks both for children and for adults were assessed using the United State Environmental Protection Agency (USEPA) methods considering inhalation, ingestion, and dermal contact pathway. Chromium (VI) posed the highest carcinogenic risk for both children and adults. The integrated carcinogenic risks were respectively 3.45 × 10-5 and 1.38 × 10-4 for children and adults indicating that attention should be paid for carcinogenic health effects. Nickel posed the highest non-carcinogenic risk for children through inhalation pathway. The integrated non-carcinogenic risk showed a value higher than 1 highlighting that Cd, Cr(VI), Cu, Mn, Ni, Pb, and Zn may cause cumulative non-carcinogenic health effect for children from inhalation exposure.
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Affiliation(s)
- Rosa Caggiano
- IMAA, Istituto di Metodologie per l'Analisi Ambientale, CNR, C.da S. Loja, Z.I., 85050, Tito Scalo, PZ, Italy.
| | - Serena Sabia
- IMAA, Istituto di Metodologie per l'Analisi Ambientale, CNR, C.da S. Loja, Z.I., 85050, Tito Scalo, PZ, Italy
| | - Antonio Speranza
- IMAA, Istituto di Metodologie per l'Analisi Ambientale, CNR, C.da S. Loja, Z.I., 85050, Tito Scalo, PZ, Italy
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16
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da Costa E Oliveira JR, Base LH, de Abreu LC, Filho CF, Ferreira C, Morawska L. Ultrafine particles and children's health: Literature review. Paediatr Respir Rev 2019; 32:73-81. [PMID: 31427160 DOI: 10.1016/j.prrv.2019.06.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 05/30/2019] [Accepted: 06/12/2019] [Indexed: 11/24/2022]
Abstract
The aim of this study was to review and synthesize the existing knowledge of the effects of ultrafine particles [UFPs] with a specific focus on children's health. An extensive literature search identified 16 studies fulfilling the criteria set for the review. One of the most important findings of the review was that, in general, there is an association between children's health and exposure to UFPs, especially among children with respiratory diseases, who commonly experience alterations in inflammatory biomarkers and deterioration in lung function as a result of UFP exposure. Notably, the health effects of UFPs are related to their ability to penetrate through different systems of the body due to their small size.
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Affiliation(s)
- Juliana Regis da Costa E Oliveira
- Departamento de Medicina, Disciplina de Cardiologia, Hospital São Paulo, Escola Paulista de Medicina, Universidade Federal de São Paulo, 715 Napoleão de Barros St, São Paulo 04024002, SP, Brazil.
| | - Luis Henrique Base
- Departamento de Medicina, Disciplina de Cardiologia, Hospital São Paulo, Escola Paulista de Medicina, Universidade Federal de São Paulo, 715 Napoleão de Barros St, São Paulo 04024002, SP, Brazil
| | - Luiz Carlos de Abreu
- Faculdade de Medicina do ABC, Laboratório de Delineamento de Estudos e Escrita Científica, 2000 Lauro Gomes Av, Santo André, SP 09060-870, Brazil
| | - Celso Ferreira Filho
- Departamento de Medicina, Disciplina de Cínica Médica, Hospital São Paulo, Escola Paulista de Medicina, Universidade Federal de São Paulo, 715 Napoleão de Barros St, São Paulo 04024002, SP, Brazil
| | - Celso Ferreira
- Departamento de Medicina, Disciplina de Cardiologia, Hospital São Paulo, Escola Paulista de Medicina, Universidade Federal de São Paulo, 715 Napoleão de Barros St, São Paulo 04024002, SP, Brazil
| | - Lidia Morawska
- International Laboratory for Air Quality and Health, Queensland University of Technology, 2 George Street, Qld 4001, Australia
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17
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Ruan Z, Qian ZM, Xu Y, Wu J, Kan H, Yang Y, Acharya BK, Jiang C, Syberg KM, Iwelunmor J, Ma W, Lin H. Applying the concept of "number needed to treat" to the formulation of daily ambient air quality standards. CHEMOSPHERE 2019; 222:665-670. [PMID: 30735966 DOI: 10.1016/j.chemosphere.2019.01.175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 01/25/2019] [Accepted: 01/29/2019] [Indexed: 06/09/2023]
Abstract
The World Health Organization sets up the Ambient Air Quality Guidelines mainly based on short-term and long-term health effects of air pollution. Previous studies, however, have generally revealed a non-threshold concentration-response relationship between air pollution and health, making it difficult to determine a concentration, below which no obvious health effects can be observed. Here we proposed a novel approach based on the concept of "number needed to treat", specifically, we calculated the reduction in air pollution concentrations needed to avoid one death corresponding to different hypothetical concentration standards; the one with the smallest value would be the most practical concentration standard. As an example, we applied this approach to the daily standard of ambient PM2.5 (particulate matter with aerodynamic diameter ≤2.5 μm) in four Chinese cities. The calculation was based on the association between daily mortality and ambient PM2.5, which was examined by a generalized additive model with adjustment of important covariates. Significant associations were observed between PM2.5 and mortality. Our analyses suggested that it is appropriate to have 50 μg/m3 as the daily standard of ambient PM2.5 for the study area, compared to the current standard of which were directly adopted from the national standard of 75 μg/m3. This novel approach should be considered when planning and/or revising the ambient air quality guidelines/standards.
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Affiliation(s)
- Zengliang Ruan
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhengmin Min Qian
- College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, United States
| | - Yanjun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jun Wu
- Program in Public Health, College of Health Sciences, University of California, Irvine, CA, 92697, United States
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Yin Yang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Bipin Kumar Acharya
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Chengsheng Jiang
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, 20742, United States
| | - Kevin M Syberg
- College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, United States
| | - Juliet Iwelunmor
- College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, United States
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangzhou, 511430, China.
| | - Hualiang Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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18
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Olstrup H, Johansson C, Forsberg B, Åström C. Association between Mortality and Short-Term Exposure to Particles, Ozone and Nitrogen Dioxide in Stockholm, Sweden. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16061028. [PMID: 30901873 PMCID: PMC6466204 DOI: 10.3390/ijerph16061028] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 03/19/2019] [Accepted: 03/19/2019] [Indexed: 01/19/2023]
Abstract
In this study, the effects on daily mortality in Stockholm associated with short-term exposure to ultrafine particles (measured as number of particles with a diameter larger than 4 nm, PNC4), black carbon (BC) and coarse particles (PM2.5–10) have been compared with the effects from more common traffic-pollution indicators (PM10, PM2.5 and NO2) and O3 during the period 2000–2016. Air pollution exposure was estimated from measurements at a 20 m high building in central Stockholm. The associations between daily mortality lagged up to two days (lag 02) and the different air pollutants were modelled by using Poisson regression. The pollutants with the strongest indications of an independent effect on daily mortality were O3, PM2.5–10 and PM10. In the single-pollutant model, an interquartile range (IQR) increase in O3 was associated with an increase in daily mortality of 2.0% (95% CI: 1.1–3.0) for lag 01 and 1.9% (95% CI: 1.0–2.9) for lag 02. An IQR increase in PM2.5–10 was associated with an increase in daily mortality of 0.8% (95% CI: 0.1–1.5) for lag 01 and 1.1% (95% CI: 0.4–1.8) for lag 02. PM10 was associated with a significant increase only at lag 02, with 0.8% (95% CI: 0.08–1.4) increase in daily mortality associated with an IQR increase in the concentration. NO2 exhibits negative associations with mortality. The significant excess risk associated with O3 remained significant in two-pollutant models after adjustments for PM2.5–10, BC and NO2. The significant excess risk associated with PM2.5–10 remained significant in a two-pollutant model after adjustment for NO2. The significantly negative associations for NO2 remained significant in two-pollutant models after adjustments for PM2.5–10, O3 and BC. A potential reason for these findings, where statistically significant excess risks were found for O3, PM2.5–10 and PM10, but not for NO2, PM2.5, PNC4 and BC, is behavioral factors that lead to misclassification in the exposure. The concentrations of O3 and PM2.5–10 are in general highest during sunny and dry days during the spring, when exposure to outdoor air tend to increase, while the opposite applies to NO2, PNC4 and BC, with the highest concentrations during the short winter days with cold weather, when people are less exposed to outdoor air.
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Affiliation(s)
- Henrik Olstrup
- Atmospheric Science Unit, Department of Environmental Science and Analytical Chemistry, Stockholm University, 11418 Stockholm, Sweden.
| | - Christer Johansson
- Atmospheric Science Unit, Department of Environmental Science and Analytical Chemistry, Stockholm University, 11418 Stockholm, Sweden.
- Environment and Health Administration, SLB, Box 8136, 104 20 Stockholm, Sweden.
| | - Bertil Forsberg
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden.
| | - Christofer Åström
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden.
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Feng B, Song X, Dan M, Yu J, Wang Q, Shu M, Xu H, Wang T, Chen J, Zhang Y, Zhao Q, Wu R, Liu S, Yu JZ, Wang T, Huang W. High level of source-specific particulate matter air pollution associated with cardiac arrhythmias. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 657:1285-1293. [PMID: 30677895 DOI: 10.1016/j.scitotenv.2018.12.178] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 12/06/2018] [Accepted: 12/11/2018] [Indexed: 06/09/2023]
Abstract
Epidemiological evidence linking source-specific ambient particulate matter with aerodynamic diameter <2.5 μm (PM2.5) and cardiac arrhythmias is limited. In this study, we investigated the impact of source-specific PM2.5 on cardiac arrhythmias in a panel of forty-five healthy adults living in Beijing, China, between 2015 and 2016. Repeated measures of 24-hour electrocardiograms were conducted during clinical visits, and daily counts of four arrhythmia events including supraventricular premature beat (SVPB), atrial tachycardia (AT), premature ventricular contraction (PVC) and ventricular tachycardia (VT) were recorded. One hundred forty-seven constituents in PM2.5 were analyzed for collected particulate samples, in which fifty-six of them above laboratory detection limits were selected for source apportionment analysis using positive matrix factorization. The average contributions of identified five major sources to PM2.5 were 45.9% from secondary nitrate/sulfate, 18.0% from coal combustion, 16.9% from crustal soil, 13.8% from biomass burning, and 5.4% from cooking. Generalized estimating equation models were used to estimate relative risks (RR) of arrhythmias in association with interquartile-range (IQR) increases in PM2.5 constituents and specific sources. Total PM2.5 mass as well as several combustion related constituents were found of significant impacts on increased risks of arrhythmia events. Among the identified sources of PM2.5, coal burning has been found the major source that associated with increased risks of SVPB, PVC and VT with RR of 1.19 [95% confidence intervals (CI): 1.04, 1.36] to 1.64 (95% CI: 1.35, 2.00). PM2.5 from combustion related secondary nitrate/sulfate was also found of significant impact on SVPB and AT, followed by PM2.5 from biomass burning and crustal soil. Our results indicated that PM2.5 from anthropogenic activity related sources were most responsible for increased risks of arrhythmia events. Our findings enhance the understanding of increased risks of arrhythmias from exposure to PM2.5, and provide evidence on source-specific PM control priorities.
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Affiliation(s)
- Baihuan Feng
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Mo Dan
- Beijing Municipal Institute of Labor Protection, Beijing, China
| | - Jie Yu
- George Institute for Global Health, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia; Department of Cardiology, Peking University Third Hospital, Beijing, China
| | - Qiongqiong Wang
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Mushui Shu
- Beijing Municipal Institute of Labor Protection, Beijing, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Tong Wang
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Jie Chen
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Yi Zhang
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Qian Zhao
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Rongshan Wu
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Shuo Liu
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Jian Zhen Yu
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Tong Wang
- Beijing Municipal Institute of Labor Protection, Beijing, China
| | - Wei Huang
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China.
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20
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Health effects of ultrafine particles: a systematic literature review update of epidemiological evidence. Int J Public Health 2019; 64:547-559. [DOI: 10.1007/s00038-019-01202-7] [Citation(s) in RCA: 132] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 01/04/2019] [Accepted: 01/09/2019] [Indexed: 12/21/2022] Open
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21
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Deng Q, Deng L, Miao Y, Guo X, Li Y. Particle deposition in the human lung: Health implications of particulate matter from different sources. ENVIRONMENTAL RESEARCH 2019; 169:237-245. [PMID: 30476747 DOI: 10.1016/j.envres.2018.11.014] [Citation(s) in RCA: 124] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Revised: 11/11/2018] [Accepted: 11/13/2018] [Indexed: 05/14/2023]
Abstract
Although ambient particulate matter or particles have been found to be associated with morbidity and mortality all over the world, specific health effects of particles from different sources need further elucidation. The objective of this work is to predict the deposition of particles from different sources in the human lung. The whole lung, consisting of 24 generations of branches from trachea to alveoli, was approximated using a one-dimensional lumped "trumpet" model with a variable cross-sectional area. The aerosol dynamics equation was numerically solved using a finite difference method to investigate the transport and deposition of particles in the lung model. Particles from various sources were assumed to be different in both size and density. We found that in general, coarse particles (> 2.5 µm) were mainly deposited in the tracheobronchial (TB) region by impaction, and fine particles (< 2.5 µm) were mainly deposited in the pulmonary (P) region by sedimentation and diffusion. However, the coarse particles with low density can be deposited in P region by sedimentation. As a comparison, our results found that soil particles, which are coarse with low density, were deposited in the deep lung more than traffic particles, which are fine with high density. Modeling of particle deposition in the human lung indicated that coarse particles generated by crustal sources may have adverse health effects as strong as those resulting from fine particles generated from combustion sources.
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Affiliation(s)
- Qihong Deng
- School of Energy Science and Engineering, Central South University, Changsha 410083, China; XiangYa School of Public Health, Central South University, Changsha 410078, China.
| | - Linjing Deng
- School of Energy Science and Engineering, Central South University, Changsha 410083, China
| | - Yufeng Miao
- School of Energy Science and Engineering, Central South University, Changsha 410083, China
| | - Xilong Guo
- School of Energy Science and Engineering, Central South University, Changsha 410083, China
| | - Yuguo Li
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
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22
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Isley CF, Nelson PF, Taylor MP, Williams AA, Jacobsen GE. Radiocarbon determination of fossil and contemporary carbon contribution to aerosol in the Pacific Islands. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 643:183-192. [PMID: 29936161 DOI: 10.1016/j.scitotenv.2018.06.182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 06/13/2018] [Accepted: 06/14/2018] [Indexed: 06/08/2023]
Abstract
Combustion emissions are of growing concern across all Pacific Island Countries, which account for >10,000 km2 of the earth's surface area; as for many other small island states globally. Apportioning emissions inputs for Suva, the largest Pacific Island city, will aid in development of emission reduction strategies. Total suspended particulate (TSP) and fine particulate (PM2.5) samples were collected for Suva City, a residential area (Kinoya, TSP) and a mainly ocean-influenced site (Suva Point, TSP) from 2014 to 2015. Percentages of contemporary and fossil carbon were determined by radiocarbon analysis (accelerator mass spectrometry); for non‑carbonate carbon (NCC), elemental carbon (EC) and organic carbon (OC). Source contributions to particulate matter were identified and the accuracy of previous emissions inventory and source apportionment studies was evaluated. Suva Point NCC concentrations (2.7 ± 0.4 μg/m3) were four times lower than for City (13 ± 2 μg/m3 in TSP) and Kinoya (13 ± 1 μg/m3 in TSP); demonstrating the contribution of land-based emissions activities in city and residential areas. In Suva City, total NCC in air was 81% (79%-83%) fossil carbon, from vehicles, shipping, power generation and industry; whilst in the residential area, 48% (46%-50%) of total NCC was contemporary carbon; reflecting the higher incidence of biomass and waste burning and of cooking activities. Secondary organic fossil carbon sources contributed >36% of NCC mass at the city and >29% at Kinoya; with biogenic carbon being Kinoya's most significant source (approx. 30% of NCC mass). These results support the previous source apportionment studies for the city area; yet show that, in line with emissions inventory studies, biomass combustion contributes more PM2.5 mass in residential areas. Hence air quality management strategies need to target open burning activities as well as fossil fuel combustion.
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Affiliation(s)
- C F Isley
- Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia.
| | - P F Nelson
- Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - M P Taylor
- Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - A A Williams
- Australian Nuclear Science and Technology Organisation, Sydney, NSW 2234, Australia
| | - G E Jacobsen
- Australian Nuclear Science and Technology Organisation, Sydney, NSW 2234, Australia
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23
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Bose M, Larson T, Szpiro AA. Adaptive predictive principal components for modeling multivariate air pollution. ENVIRONMETRICS 2018; 29:e2525. [PMID: 32581623 PMCID: PMC7313718 DOI: 10.1002/env.2525] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Air pollution monitoring locations are typically spatially misaligned with locations of participants in a cohort study, so to analyze pollution-health associations, exposures must be predicted at subject locations. For a pollution measure like PM2.5 (fine particulate matter) comprised of multiple chemical components, the predictive principal component analysis (PCA) algorithm derives a low-dimensional representation of component profiles for use in health analyses. Geographic covariates and spatial splines help determine the principal component loadings of the pollution data to give improved prediction accuracy of the principal component scores. While predictive PCA can accommodate pollution data of arbitrary dimension, it is currently limited to a small number of pre-selected geographic covariates. We propose an adaptive predictive PCA algorithm, which automatically identifies a combination of covariates that is most informative in choosing the principal component directions in the pollutant space. We show that adaptive predictive PCA improves the accuracy of multi-pollutant exposure predictions at subject locations.
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24
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Lin H, Tao J, Qian ZM, Ruan Z, Xu Y, Hang J, Xu X, Liu T, Guo Y, Zeng W, Xiao J, Guo L, Li X, Ma W. Shipping pollution emission associated with increased cardiovascular mortality: A time series study in Guangzhou, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 241:862-868. [PMID: 29913413 DOI: 10.1016/j.envpol.2018.06.027] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 06/06/2018] [Accepted: 06/08/2018] [Indexed: 06/08/2023]
Abstract
Substantial evidence has linked short-term exposure to ambient fine particulate matter (PM2.5) with increased cardiovascular mortality, however, the specific chemical constituent and emission source responsible for this effect remained largely unclear. A time series Poisson model was employed to quantify the association of cardiovascular mortality with two sets of shipping pollution emission: nickel (Ni), vanadium (V) (the indices of shipping emission) and estimated shipping emission using a source apportionment approach in Guangzhou, China in 2014. We observed that Ni, V, and estimated shipping emission in PM2.5 were associated with increased cardiovascular mortality, an inter-quartile range (IQR) increase in lag2 Ni was associated with 4.60% (95% CI: 0.14%, 9.26%) increase in overall cardiovascular mortality, and 13.35% (95% CI: 5.54%, 21.75%) increase in cerebrovascular mortality; each IQR increase of lag1 V was correlated with 6.01% (95% CI: 1.83%, 10.37%) increase in overall cardiovascular mortality, and 11.02% (95% CI: 3.15%, 19.49%) increase in cerebrovascular mortality; and each IQR increase in lag1 shipping emission was associated with 5.55% (95% CI: 0.78%, 10.54%) increase in overall cardiovascular mortality, and 10.39% (95% CI: 1.43%, 20.14%) increase in cerebrovascular mortality. The results remained robust to adjustment for PM2.5 mass and gaseous air pollutants. This study suggests that shipping emission is an important detrimental factor of cardiovascular mortality, and should be emphasized in air pollution control and management in order to protect the public health in Guangzhou, China.
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Affiliation(s)
- Hualiang Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jun Tao
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, China
| | - Zhengmin Min Qian
- Department of Epidemiology & Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Zengliang Ruan
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yanjun Xu
- Department of Chronic Non-Communicable Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jian Hang
- School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xiaojun Xu
- Department of Chronic Non-Communicable Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Lingchuan Guo
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
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Reyes-Villegas E, Bannan T, Le Breton M, Mehra A, Priestley M, Percival C, Coe H, Allan JD. Online Chemical Characterization of Food-Cooking Organic Aerosols: Implications for Source Apportionment. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:5308-5318. [PMID: 29619820 DOI: 10.1021/acs.est.7b06278] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Food-cooking organic aerosols (COA) are one of the primary sources of submicron particulate matter in urban environments. However, there are still many questions surrounding source apportionment related to instrumentation as well as semivolatile partitioning because COA evolve rapidly in the ambient air, making source apportionment more complex. Online measurements of emissions from cooking different types of food were performed in a laboratory to characterize particles and gases. Aerosol mass spectrometer (AMS) measurements showed that the relative ionization efficiency for OA was higher (1.56-3.06) relative to a typical value of 1.4, concluding that AMS is over-estimating COA and suggesting that previous studies likely over-estimated COA concentrations. Food-cooking mass spectra were generated using AMS, and gas and particle food markers were identified with filter inlets for gases and aerosols-chemical ionization mass spectrometer (CIMS) measurements to be used in future food cooking-source apportionment studies. However, there is a considerable variability in both gas and particle markers, and dilution plays an important role in the particle mass budget, showing the importance of using these markers with caution during receptor modeling. These findings can be used to better understand the chemical composition of COA, and they provides useful information to be used in future source-apportionment studies.
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Affiliation(s)
| | | | | | | | | | - Carl Percival
- Jet Propulsion Laboratory , 4800 Oak Grove Drive , Pasadena , California 91109 , United States
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Zauli Sajani S, Marchesi S, Trentini A, Bacco D, Zigola C, Rovelli S, Ricciardelli I, Maccone C, Lauriola P, Cavallo DM, Poluzzi V, Cattaneo A, Harrison RM. Vertical variation of PM 2.5 mass and chemical composition, particle size distribution, NO 2, and BTEX at a high rise building. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 235:339-349. [PMID: 29304467 DOI: 10.1016/j.envpol.2017.12.090] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 12/21/2017] [Accepted: 12/23/2017] [Indexed: 06/07/2023]
Abstract
Substantial efforts have been made in recent years to investigate the horizontal variability of air pollutants at regional and urban scales and epidemiological studies have taken advantage of resulting improvements in exposure assessment. On the contrary, only a few studies have investigated the vertical variability and their results are not consistent. In this study, a field experiment has been conducted to evaluate the variation of concentrations of different particle metrics and gaseous pollutants on the basis of floor height at a high rise building. Two 15-day monitoring campaigns were conducted in the urban area of Bologna, Northern Italy, one of the most polluted areas in Europe. Measurements sites were operated simultaneously at 2, 15, 26, 44 and 65 m a.g.l. Several particulate matter metrics including PM2.5 mass and chemical composition, particle number concentration and size distribution were measured. Time integrated measurement of NO2 and BTEX were also included in the monitoring campaigns. Measurements showed relevant vertical gradients for most traffic related pollutants. A monotonic gradient of PM2.5 was found with ground-to-top differences of 4% during the warm period and 11% during the cold period. Larger gradients were found for UFP (∼30% during both seasons) with a substantial loss of particles from ground to top in the sub-50 nm size range. The largest drops in concentrations for chemical components were found for Elemental Carbon (-27%), iron (-11%) and tin (-36%) during winter. The ground-to-top decline of concentrations for NO2 and benzene during winter was equal to 74% and 35%, respectively. In conclusion, our findings emphasize the need to include vertical variations of urban air pollutants when evaluating population exposure and associated health effects, especially in relation to some traffic related pollutants and particle metrics.
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Affiliation(s)
- Stefano Zauli Sajani
- Regional Centre for Environment and Health, ARPAE Emilia-Romagna, Via Begarelli, 13, 41121 Modena, Italy.
| | - Stefano Marchesi
- Regional Centre for Environment and Health, ARPAE Emilia-Romagna, Via Begarelli, 13, 41121 Modena, Italy
| | - Arianna Trentini
- Regional Centre for Urban Areas, ARPAE Emilia-Romagna, Via Rocchi, 19, 40138 Bologna, Italy
| | - Dimitri Bacco
- Regional Centre for Urban Areas, ARPAE Emilia-Romagna, Via Rocchi, 19, 40138 Bologna, Italy
| | - Claudia Zigola
- Provincial District of Ravenna, ARPAE Emilia-Romagna, Via Giulio Alberoni17, 48121 Ravenna, Italy
| | - Sabrina Rovelli
- Department of Science and High Technology, Università degli Studi dell'Insubria, Via Valleggio 11 22100 Como, Italy
| | - Isabella Ricciardelli
- Regional Centre for Urban Areas, ARPAE Emilia-Romagna, Via Rocchi, 19, 40138 Bologna, Italy
| | - Claudio Maccone
- Regional Centre for Urban Areas, ARPAE Emilia-Romagna, Via Rocchi, 19, 40138 Bologna, Italy
| | - Paolo Lauriola
- Regional Centre for Environment and Health, ARPAE Emilia-Romagna, Via Begarelli, 13, 41121 Modena, Italy
| | - Domenico Maria Cavallo
- Department of Science and High Technology, Università degli Studi dell'Insubria, Via Valleggio 11 22100 Como, Italy
| | - Vanes Poluzzi
- Regional Centre for Urban Areas, ARPAE Emilia-Romagna, Via Rocchi, 19, 40138 Bologna, Italy
| | - Andrea Cattaneo
- Department of Science and High Technology, Università degli Studi dell'Insubria, Via Valleggio 11 22100 Como, Italy
| | - Roy M Harrison
- Division of Environmental Health and Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
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27
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Lin H, Wang X, Qian ZM, Guo S, Yao Z, Vaughn MG, Dong G, Liu T, Xiao J, Li X, Zeng W, Xu Y, Ma W. Daily exceedance concentration hours: A novel indicator to measure acute cardiovascular effects of PM 2.5 in six Chinese subtropical cities. ENVIRONMENT INTERNATIONAL 2018; 111:117-123. [PMID: 29190528 DOI: 10.1016/j.envint.2017.11.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 11/21/2017] [Accepted: 11/21/2017] [Indexed: 05/22/2023]
Abstract
BACKGROUND Daily mean concentration cannot fully address the hourly variations of air pollution within one day. As such, we proposed a new indicator, daily exceedance concentration hours (DECH), to explore the acute cardiovascular effects of ambient PM2.5 (particles with aerodynamic diameters less than 2.5μm). The DECH in PM2.5 was defined as daily total concentration-hours >25μg/m3. METHODS A generalized additive model with a quasi-Poisson link was applied to estimate the associations between day-to-day variation in PM2.5 DECH and day-to-day variation in cardiovascular mortality in six subtropical cities in Guangdong Province, China. RESULTS The analysis revealed significant associations between PM2.5 DECHs and cardiovascular mortality. A 500μg/m3∗h increase in PM2.5 DECHs at lag03 was associated with an increase of 4.55% (95% confidence interval (CI): 3.59%, 5.52%) in cardiovascular mortality, 4.45% (95% CI: 2.81%, 6.12%) in ischemic cardiovascular mortality, 5.02% (95% CI: 3.41%, 6.65%) in cerebrovascular mortality, and 3.00% (95% CI: 1.13%, 4.90%) in acute myocardial infarction mortality. We further observed a greater mortality burden using PM2.5 DECHs than daily mean PM2.5 (6478 (95% CI: 5071, 7917) VS 5136 (95% CI: 3990, 6305)). CONCLUSION This study reveals that PM2.5 DECH is one important exposure indicator of ambient PM2.5 to measure its cardiovascular mortality effects in Pearl River Delta region; and that using daily mean concentration could under-estimate the mortality burden compared with this new indicator.
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Affiliation(s)
- Hualiang Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaojie Wang
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Zhengmin Min Qian
- College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO 63104, USA
| | - Shu Guo
- South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, China
| | - Zhenjiang Yao
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Michael G Vaughn
- College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO 63104, USA
| | - Guanghui Dong
- Department of Environmental and Occupational Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Yanjun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
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Tobías A, Rivas I, Reche C, Alastuey A, Rodríguez S, Fernández-Camacho R, Sánchez de la Campa AM, de la Rosa J, Sunyer J, Querol X. Short-term effects of ultrafine particles on daily mortality by primary vehicle exhaust versus secondary origin in three Spanish cities. ENVIRONMENT INTERNATIONAL 2018; 111:144-151. [PMID: 29207286 DOI: 10.1016/j.envint.2017.11.015] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 10/30/2017] [Accepted: 11/18/2017] [Indexed: 05/06/2023]
Abstract
BACKGROUND Evidence on the short-term effects of ultrafine particles (with diameter<100nm, UFP) on health is still inconsistent. New particles in ambient urban air are the result of direct emissions and also the formation of secondary UFP from gaseous precursors. We segregated UFP into these two components and investigated their impact on daily mortality in three Spanish cities affected by different sources of air pollution. METHODS We separated the UFP using a method based on the high correlation between black carbon (BC) and particle number concentration (N). The first component accounts for aerosol constituents emitted by vehicle exhaust (N1) and the second for the photochemical new particle formation enhancements (N2). We applied city-specific Poisson regression models, adjusting for long-term trends, temperature and population dynamics. RESULTS Mean BC levels were higher in Barcelona and Tenerife (1.8 and 1.2μg·m-3, respectively) than in Huelva (0.8μg·m-3). While mean UFP concentrations were similar in the three cities, from which N1 was 40% in Barcelona, 46% in Santa Cruz de Tenerife, and 27% in Huelva. We observed an association with N1 and daily mortality in Barcelona, by increasing approximately 1.5% between lags 0 and 2, per an interquartile increase (IQR) of 3277cm-3, but not with N2. A similar pattern was found in Santa Cruz de Tenerife, although none of the associations were significant. Conversely, in the industrial city of Huelva mortality was associated with N2 at lag 0, by increasing 3.9% per an IQR of 12,032·cm-3. CONCLUSION The pattern and origin of UFP determines their short-term effect on human health. BC is possibly the better parameter to evaluate the health effects of particulate vehicle exhaust emissions, although in areas influenced by domestic solid fuel combustion this should also be taken into account.
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Affiliation(s)
- Aurelio Tobías
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain.
| | - Ioar Rivas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - Cristina Reche
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain
| | - Andrés Alastuey
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain
| | - Sergio Rodríguez
- Joint Research Unit to CSIC "Studies on Atmospheric Pollution", Izaña Atmospheric Research Centre, AEMET, Santa Cruz de Tenerife, Spain
| | - Rocío Fernández-Camacho
- Centre Associate Unit CSIC-UHU "Atmospheric Pollution", Research in Sustainable Chemistry (CIQSO), University of Huelva, Huelva, Spain
| | - Ana M Sánchez de la Campa
- Centre Associate Unit CSIC-UHU "Atmospheric Pollution", Research in Sustainable Chemistry (CIQSO), University of Huelva, Huelva, Spain
| | - Jesús de la Rosa
- Centre Associate Unit CSIC-UHU "Atmospheric Pollution", Research in Sustainable Chemistry (CIQSO), University of Huelva, Huelva, Spain
| | - Jordi Sunyer
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Pompeu Fabra University (UPF), Barcelona, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Xavier Querol
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain
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Zhang T, Zheng X, Wang X, Zhao H, Wang T, Zhang H, Li W, Shen H, Yu L. Maternal Exposure to PM 2.5 during Pregnancy Induces Impaired Development of Cerebral Cortex in Mice Offspring. Int J Mol Sci 2018; 19:ijms19010257. [PMID: 29337904 PMCID: PMC5796203 DOI: 10.3390/ijms19010257] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 01/03/2018] [Accepted: 01/12/2018] [Indexed: 12/13/2022] Open
Abstract
Air pollution is a serious environmental health problem closely related to the occurrence of central nervous system diseases. Exposure to particulate matter with an aerodynamic diameter less than or equal to 2.5 µm (PM2.5) during pregnancy may affect the growth and development of infants. The present study was to investigate the effects of maternal exposure to PM2.5 during pregnancy on brain development in mice offspring. Pregnant mice were randomly divided into experimental groups of low-, medium-, or high-dosages of PM2.5, a mock-treated group which was treated with the same amount of phosphate buffer solution (PBS), and acontrol group which was untreated. The ethology of offspring mice on postnatal days 1, 7, 14, 21, and 30, along with neuronal development and apoptosis in the cerebral cortex were investigated. Compared with the control, neuronal mitochondrial cristae fracture, changed autophagy characteristics, significantly increased terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) positive cell rate, and mRNA levels of apoptosis-related caspase-8 and caspase-9 were found in cerebral cortex of mice offspring from the treatment groups, with mRNA levels of Bcl-2 and ratio of Bcl-2 to Bax decreased. Treatment groups also demonstrated enhanced protein expressions of apoptosis-related cleaved caspase-3, cleaved caspase-8 and cleaved caspase-9, along with declined proliferating cell nuclear antigen (PCNA), Bcl-2, and ratio of Bcl-2 to Bax. Open field experiments and tail suspension experiments showed that exposure to high dosage of PM2.5 resulted in decreased spontaneous activities but increased static accumulation time in mice offspring, indicating anxiety, depression, and social behavioral changes. Our results suggested that maternal exposure to PM2.5 during pregnancy might interfere with cerebral cortex development in mice offspring by affecting cell apoptosis.
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Affiliation(s)
- Tianliang Zhang
- Experimental Center for Medical Research, Weifang Medical University, Weifang 261053, China.
| | - Xinrui Zheng
- School of Clinical Medicine, Weifang Medical University, Weifang 261053, China.
| | - Xia Wang
- School of Public Health and Management, Weifang Medical University, Weifang 261053, China.
| | - Hui Zhao
- School of Clinical Medicine, Weifang Medical University, Weifang 261053, China.
| | - Tingting Wang
- School of Clinical Medicine, Weifang Medical University, Weifang 261053, China.
| | - Hongxia Zhang
- School of Clinical Medicine, Weifang Medical University, Weifang 261053, China.
| | - Wanwei Li
- School of Public Health and Management, Weifang Medical University, Weifang 261053, China.
| | - Hua Shen
- Department of Mathematics and Statistics, University of Calgary, Calgary, AB T2N 1N4, Canada.
| | - Li Yu
- School of Clinical Medicine, Weifang Medical University, Weifang 261053, China.
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30
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Isley CF, Nelson PF, Taylor MP, Stelcer E, Atanacio AJ, Cohen DD, Mani FS, Maata M. Reducing mortality risk by targeting specific air pollution sources: Suva, Fiji. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 612:450-461. [PMID: 28863376 DOI: 10.1016/j.scitotenv.2017.08.225] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 08/21/2017] [Accepted: 08/21/2017] [Indexed: 06/07/2023]
Abstract
Health implications of air pollution vary dependent upon pollutant sources. This work determines the value, in terms of reduced mortality, of reducing ambient particulate matter (PM2.5: effective aerodynamic diameter 2.5μm or less) concentration due to different emission sources. Suva, a Pacific Island city with substantial input from combustion sources, is used as a case-study. Elemental concentration was determined, by ion beam analysis, for PM2.5 samples from Suva, spanning one year. Sources of PM2.5 have been quantified by positive matrix factorisation. A review of recent literature has been carried out to delineate the mortality risk associated with these sources. Risk factors have then been applied for Suva, to calculate the possible mortality reduction that may be achieved through reduction in pollutant levels. Higher risk ratios for black carbon and sulphur resulted in mortality predictions for PM2.5 from fossil fuel combustion, road vehicle emissions and waste burning that surpass predictions for these sources based on health risk of PM2.5 mass alone. Predicted mortality for Suva from fossil fuel smoke exceeds the national toll from road accidents in Fiji. The greatest benefit for Suva, in terms of reduced mortality, is likely to be accomplished by reducing emissions from fossil fuel combustion (diesel), vehicles and waste burning.
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Affiliation(s)
- C F Isley
- Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia.
| | - P F Nelson
- Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia.
| | - M P Taylor
- Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia.
| | - E Stelcer
- Centre for Accelerator Science, Australian Nuclear Science and Technology Organisation, Locked Bag 2001, Kirrawee DC, NSW 2232, Australia.
| | - A J Atanacio
- Centre for Accelerator Science, Australian Nuclear Science and Technology Organisation, Locked Bag 2001, Kirrawee DC, NSW 2232, Australia.
| | - D D Cohen
- Centre for Accelerator Science, Australian Nuclear Science and Technology Organisation, Locked Bag 2001, Kirrawee DC, NSW 2232, Australia.
| | - F S Mani
- Faculty of Science Technology and Environment, University of the South Pacific, Laucala Campus, Suva, Fiji.
| | - M Maata
- Faculty of Science Technology and Environment, University of the South Pacific, Laucala Campus, Suva, Fiji.
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Herbig B, Jörres RA, Schierl R, Simon M, Langner J, Seeger S, Nowak D, Karrasch S. Psychological and cognitive effects of laser printer emissions: A controlled exposure study. INDOOR AIR 2018; 28:112-124. [PMID: 28960517 DOI: 10.1111/ina.12429] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 09/23/2017] [Indexed: 06/07/2023]
Abstract
The possible impact of ultrafine particles from laser printers on human health is controversially discussed although there are persons reporting substantial symptoms in relation to these emissions. A randomized, single-blinded, cross-over experimental design with two exposure conditions (high-level and low-level exposure) was conducted with 23 healthy subjects, 14 subjects with mild asthma, and 15 persons reporting symptoms associated with laser printer emissions. To separate physiological and psychological effects, a secondary physiologically based categorization of susceptibility to particle effects was used. In line with results from physiological and biochemical assessments, we found no coherent, differential, or clinically relevant effects of different exposure conditions on subjective complaints and cognitive performance in terms of attention, short-term memory, and psychomotor performance. However, results regarding the psychological characteristics of participants and their situational perception confirm differences between the participants groups: Subjects reporting symptoms associated with laser printer emissions showed a higher psychological susceptibility for adverse reactions in line with previous results on persons with multiple chemical sensitivity or idiopathic environmental intolerance. In conclusion, acute psychological and cognitive effects of laser printer emissions were small and could be attributed only to different participant groups but not to differences in exposure conditions in terms of particle number concentrations.
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Affiliation(s)
- B Herbig
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| | - R A Jörres
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research, Munich, Germany
| | - R Schierl
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| | - M Simon
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| | - J Langner
- Division Materials and Air Pollutants, BAM Federal Institute for Materials Research and Testing, Berlin, Germany
| | - S Seeger
- Division Materials and Air Pollutants, BAM Federal Institute for Materials Research and Testing, Berlin, Germany
| | - D Nowak
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research, Munich, Germany
| | - S Karrasch
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research, Munich, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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