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Peters S, Bouma F, Hoek G, Janssen N, Vermeulen R. Air pollution exposure and mortality from neurodegenerative diseases in the Netherlands: A population-based cohort study. ENVIRONMENTAL RESEARCH 2024; 259:119552. [PMID: 38964584 DOI: 10.1016/j.envres.2024.119552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Long-term exposure to ambient air pollution has been linked with all-cause mortality and cardiovascular and respiratory diseases. Suggestive associations between ambient air pollutants and neurodegeneration have also been reported, but due to the small effect and relatively rare outcomes evidence is yet inconclusive. Our aim was to investigate the associations between long-term air pollution exposure and mortality from neurodegenerative diseases. METHODS A Dutch national cohort of 10.8 million adults aged ≥30 years was followed from 2013 until 2019. Annual average concentrations of air pollutants (ultra-fine particles (UFP), nitrogen dioxide (NO2), fine particles (PM2.5 and PM10) and elemental carbon (EC)) were estimated at the home address at baseline, using land-use regression models. The outcome variables were mortality due to amyotrophic lateral sclerosis (ALS), Parkinson's disease, non-vascular dementia, Alzheimer's disease, and multiple sclerosis (MS). Hazard ratios (HR) were estimated using Cox models, adjusting for individual and area-level socio-economic status covariates. RESULTS We had a follow-up of 71 million person-years. The adjusted HRs for non-vascular dementia were significantly increased for NO2 (1.03; 95% confidence interval (CI) 1.02-1.05) and PM2.5 (1.02; 95%CI 1.01-1.03) per interquartile range (IQR; 6.52 and 1.47 μg/m3, respectively). The association with PM2.5 was also positive for ALS (1.02; 95%CI 0.97-1.07). These associations remained positive in sensitivity analyses and two-pollutant models. UFP was not associated with any outcome. No association with air pollution was found for Parkinson's disease and MS. Inverse associations were found for Alzheimer's disease. CONCLUSION Our findings, using a cohort of more than 10 million people, provide further support for associations between long-term exposure to air pollutants (PM2.5 and particularly NO2) and mortality of non-vascular dementia. No associations were found for Parkinson and MS and an inverse association was observed for Alzheimer's disease.
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Affiliation(s)
- Susan Peters
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands.
| | - Femke Bouma
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - Nicole Janssen
- National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, the Netherlands
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Klompmaker JO, Mork D, Zanobetti A, Braun D, Hankey S, Hart JE, Hystad P, Jimenez MP, Laden F, Larkin A, Lin PID, Suel E, Yi L, Zhang W, Delaney SW, James P. Associations of street-view greenspace with Parkinson's disease hospitalizations in an open cohort of elderly US Medicare beneficiaries. ENVIRONMENT INTERNATIONAL 2024; 188:108739. [PMID: 38754245 PMCID: PMC11199351 DOI: 10.1016/j.envint.2024.108739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/20/2024] [Accepted: 05/09/2024] [Indexed: 05/18/2024]
Abstract
INTRODUCTION Protective associations of greenspace with Parkinson's disease (PD) have been observed in some studies. Visual exposure to greenspace seems to be important for some of the proposed pathways underlying these associations. However, most studies use overhead-view measures (e.g., satellite imagery, land-classification data) that do not capture street-view greenspace and cannot distinguish between specific greenspace types. We aimed to evaluate associations of street-view greenspace measures with hospitalizations with a PD diagnosis code (PD-involved hospitalization). METHODS We created an open cohort of about 45.6 million Medicare fee-for-service beneficiaries aged 65 + years living in core based statistical areas (i.e. non-rural areas) in the contiguous US (2007-2016). We obtained 350 million Google Street View images across the US and applied deep learning algorithms to identify percentages of specific greenspace features in each image, including trees, grass, and other green features (i.e., plants, flowers, fields). We assessed yearly average street-view greenspace features for each ZIP code. A Cox-equivalent re-parameterized Poisson model adjusted for potential confounders (i.e. age, race/ethnicity, socioeconomic status) was used to evaluate associations with first PD-involved hospitalization. RESULTS There were 506,899 first PD-involved hospitalizations over 254,917,192 person-years of follow-up. We found a hazard ratio (95% confidence interval) of 0.96 (0.95, 0.96) per interquartile range (IQR) increase for trees and a HR of 0.97 (0.96, 0.97) per IQR increase for other green features. In contrast, we found a HR of 1.06 (1.04, 1.07) per IQR increase for grass. Associations of trees were generally stronger for low-income (i.e. Medicaid eligible) individuals, Black individuals, and in areas with a lower median household income and a higher population density. CONCLUSION Increasing exposure to trees and other green features may reduce PD-involved hospitalizations, while increasing exposure to grass may increase hospitalizations. The protective associations may be stronger for marginalized individuals and individuals living in densely populated areas.
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Affiliation(s)
- Jochem O Klompmaker
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Daniel Mork
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Danielle Braun
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Steve Hankey
- Urban Affairs and Planning (UAP), School of Public and International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Jaime E Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | | | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Andrew Larkin
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Pi-I Debby Lin
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Esra Suel
- Faculty of the Built Environment, University College London, London, England
| | - Li Yi
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Wenwen Zhang
- Edward J Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Scott W Delaney
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
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Faherty T, Badri H, Hu D, Voliotis A, Pope FD, Mudway I, Smith J, McFiggans G. HIPTox-Hazard Identification Platform to Assess the Health Impacts from Indoor and Outdoor Air Pollutant Exposures, through Mechanistic Toxicology: A Single-Centre Double-Blind Human Exposure Trial Protocol. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:284. [PMID: 38541284 PMCID: PMC11154498 DOI: 10.3390/ijerph21030284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/14/2024] [Accepted: 02/24/2024] [Indexed: 06/09/2024]
Abstract
Over the past decade, our understanding of the impact of air pollution on short- and long-term population health has advanced considerably, focusing on adverse effects on cardiovascular and respiratory systems. There is, however, increasing evidence that air pollution exposures affect cognitive function, particularly in susceptible groups. Our study seeks to assess and hazard rank the cognitive effects of prevalent indoor and outdoor pollutants through a single-centre investigation on the cognitive functioning of healthy human volunteers aged 50 and above with a familial predisposition to dementia. Participants will all undertake five sequential controlled exposures. The sources of the air pollution exposures are wood smoke, diesel exhaust, cleaning products, and cooking emissions, with clean air serving as the control. Pre- and post-exposure spirometry, nasal lavage, blood sampling, and cognitive assessments will be performed. Repeated testing pre and post exposure to controlled levels of pollutants will allow for the identification of acute changes in functioning as well as the detection of peripheral markers of neuroinflammation and neuronal toxicity. This comprehensive approach enables the identification of the most hazardous components in indoor and outdoor air pollutants and further understanding of the pathways contributing to neurodegenerative diseases. The results of this project have the potential to facilitate greater refinement in policy, emphasizing health-relevant pollutants and providing details to aid mitigation against pollutant-associated health risks.
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Affiliation(s)
- Thomas Faherty
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;
| | - Huda Badri
- Division of Infection, Immunity and Respiratory Medicine, University of Manchester, 2nd Floor Education and Research Centre, Wythenshawe Hospital, Southmoor Rd., Manchester M23 9LT, UK; (H.B.); (J.S.)
- Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Dawei Hu
- Centre for Atmospheric Sciences, Department of Earth and Environmental Science, School of Natural Sciences, University of Manchester, Manchester M13 9PL, UK; (D.H.); (A.V.); (G.M.)
| | - Aristeidis Voliotis
- Centre for Atmospheric Sciences, Department of Earth and Environmental Science, School of Natural Sciences, University of Manchester, Manchester M13 9PL, UK; (D.H.); (A.V.); (G.M.)
- National Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester, Manchester M13 9PL, UK
| | - Francis D. Pope
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;
| | - Ian Mudway
- MRC Centre for Environment and Health, Imperial College London, London W12 0BZ, UK;
- NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London W12 0BZ, UK
- NIHR Health Protection Research Unit in Chemical and Radiation Threats and Hazards, Imperial College London, London W12 0BZ, UK
| | - Jacky Smith
- Division of Infection, Immunity and Respiratory Medicine, University of Manchester, 2nd Floor Education and Research Centre, Wythenshawe Hospital, Southmoor Rd., Manchester M23 9LT, UK; (H.B.); (J.S.)
- Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Gordon McFiggans
- Centre for Atmospheric Sciences, Department of Earth and Environmental Science, School of Natural Sciences, University of Manchester, Manchester M13 9PL, UK; (D.H.); (A.V.); (G.M.)
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Cao Z, Yuan Y, White AJ, Li C, Luo Z, D’Aloisio AA, Huang X, Kaufman JD, Sandler DP, Chen H. Air Pollutants and Risk of Parkinson's Disease among Women in the Sister Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:17001. [PMID: 38175185 PMCID: PMC10766011 DOI: 10.1289/ehp13009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Air pollutants may contribute to the development of Parkinson's disease (PD), but empirical evidence is limited and inconsistent. OBJECTIVES This study aimed to prospectively investigate the associations of PD with ambient exposures to fine particulate matter with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ) and nitrogen dioxide (NO 2 ). METHODS We analyzed data from 47,108 US women from the Sister Study, enrolled from 2003-2009 (35-80 years of age) and followed through 2018. Exposures of interest included address-level ambient PM 2.5 and NO 2 in 2009 and their cumulative averages from 2009 to PD diagnosis with varying lag-years. The primary outcome was PD diagnosis between 2009 and 2018 (n = 163 ). We used multivariable Cox proportional hazards and time-varying Cox models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS NO 2 exposure in 2009 was associated with PD risk in a dose-response manner. The HR and 95% CI were 1.22 (95% CI: 1.03, 1.46) for one interquartile [4.8 parts per billion (ppb)] increment in NO 2 , adjusting for age, race and ethnicity, education, smoking status, alcohol drinking, caffeine intake, body mass index, physical activity, census region, residential area type, area deprivation index (ADI), and self-reported health status. The association was confirmed in secondary analyses with time-varying averaged cumulative exposures. For example, the multivariable adjusted HR for PD per 4.8 ppb increment in NO 2 was 1.25 (95% CI: 1.05, 1.50) in the 2-year lag analysis using cumulative average exposure. Post hoc subgroup analyses overall confirmed the association. However, statistical interaction analyses found that the positive association of NO 2 with PD risk was limited to women in urban, rural, and small town areas and women with ≥ 50 th percentile ADI but not among women from suburban areas or areas with < 50 th percentile ADI. In contrast, PM 2.5 exposure was not associated with PD risk with the possible exception for women from the Midwest region of the US (HR interquartile -range = 2.49 , 95% CI: 1.20, 5.14) but not in other census regions. DISCUSSION In this nationwide cohort of US women, higher level exposure to ambient NO 2 is associated with a greater risk of PD. This finding needs to be independently confirmed and the underlying mechanisms warrant further investigation. https://doi.org/10.1289/EHP13009.
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Affiliation(s)
- Zichun Cao
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Yaqun Yuan
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Alexandra J. White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Chenxi Li
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Aimee A. D’Aloisio
- Social & Scientific Systems, DLH Holdings Corporation, Durham, North Carolina, USA
| | - Xuemei Huang
- Department of Neurology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Joel D. Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Honglei Chen
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
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Ning P, Guo X, Qu Q, Li R. Exploring the association between air pollution and Parkinson's disease or Alzheimer's disease: a Mendelian randomization study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:123939-123947. [PMID: 37995032 DOI: 10.1007/s11356-023-31047-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023]
Abstract
The correlation between air pollution and neurodegenerative diseases has garnered growing attention. Although observational studies have indicated a potential link between air pollution and neurodegenerative disease, establishing a causal relationship remains uncertain. To address this gap, we performed a two-sample Mendelian randomization analysis utilizing genetic instruments. This analysis aimed to investigate the causal connections between PM2.5, PM10, NO2, and NOX exposure and the occurrence of Parkinson's disease (PD) and Alzheimer's disease (AD). We implemented a series of filtering steps to identify suitable genetic instruments that demonstrated significant associations (P < 5 × 10-8) with PM2.5, PM10, NO2, and NOX. These instruments were derived from a comprehensive genome-wide association study (GWAS) encompassing up to 456,380 participants in the UK Biobank. To obtain summary statistics for PD (N = 482,730) and AD risk (N = 63,926), we utilized the most recent GWAS datasets available. For our primary analysis, we employed the inverse-variance weighted approach for two-sample MR. A multivariable MR (MVMR) was also performed to verify the impact of air pollution exposure on the risk of PD and AD. To ensure the robustness of our findings, sensitivity analyses and heterogeneity assessments were performed. In two-sample MR, by employing the inverse-variance weighted method, our result suggested that genetically NO2 exposure showed a significant association with an elevated risk of PD (OR = 4.07, 95% CI: 1.13 to 19.62, P = 0.034) and genetically PM10 exposure exhibited a significant association with a heightened risk of AD (OR = 1.93, 95% CI: 1.03-3.59, P = 0.040). Further MVMR analysis demonstrated that the causal effect between NO2 and PD disappeared (OR = 3.489, 95% CI: 0.01 to 2.1e + 03, P = 0.703), and only PM10 was associated with an increased risk of AD (OR = 6.500, 95% CI: 1.10 to 38.51, P = 0.039). Sensitivity analysis showed no detectable heterogeneity and pleiotropy (P > 0.05). Our findings demonstrate that NO2 and PM10 exposure may contribute to a risk of PD and AD, respectively. Future research is necessary to elucidate potential physiopathological mechanisms.
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Affiliation(s)
- Pingping Ning
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, 710068, People's Republic of China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, 710068, People's Republic of China
| | - Xingzhi Guo
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, 710068, People's Republic of China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, 710068, People's Republic of China
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China
| | - Qiumin Qu
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China
| | - Rui Li
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, 710068, People's Republic of China.
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, 710068, People's Republic of China.
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
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Chen TC, Lo YC, Li SJ, Lin YC, Chang CW, Liang YW, Laiman V, Hsiao TC, Chuang HC, Chen YY. Assessing traffic-related air pollution-induced fiber-specific white matter degradation associated with motor performance declines in aged rats. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 263:115373. [PMID: 37619400 DOI: 10.1016/j.ecoenv.2023.115373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 07/02/2023] [Accepted: 08/13/2023] [Indexed: 08/26/2023]
Abstract
Fine particulate matter (PM2.5) is thought to exacerbate Parkinson's disease (PD) in the elderly, and early detection of PD progression may prevent further irreversible damage. Therefore, we used diffusion tensor imaging (DTI) for probing microstructural changes after late-life chronic traffic-related PM2.5 exposure. Herein, 1.5-year-old Fischer 344 rats were exposed to clean air (control), high-efficiency particulate air (HEPA)-filtered ambient air (HEPA group), and ambient traffic-related PM2.5 (PM2.5 group, 9.933 ± 1.021 µg/m3) for 3 months. Rotarod test, DTI tractographic analysis, and immunohistochemistry were performed in the end of study period. Aged rats exposed to PM2.5 exhibited motor impairment with decreased fractional anisotropy and tyrosine hydroxylase expression in olfactory and nigrostriatal circuits, indicating disrupted white matter integrity and dopaminergic (DA) neuronal loss. Additionally, increased radial diffusivity and lower expression of myelin basic protein in PM2.5 group suggested ageing progression of demyelination exacerbated by PM2.5 exposure. Significant production of tumor necrosis factor-α was also observed after PM2.5 exposure, revealing potential inflammation of injury to multiple fiber tracts of DA pathways. Microstructural changes demonstrated potential links between PM2.5-induced inflammatory white matter demyelination and behavioral performance, with indication of pre-manifestation of DTI-based biomarkers for early detection of PD progression in the elderly.
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Affiliation(s)
- Ting-Chieh Chen
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Yu-Chun Lo
- Ph.D. Program in Medical Neuroscience, Taipei Medical University, Taipei Medical University, No. 250 Wu-Xing St., Taipei 11031, Taiwan
| | - Ssu-Ju Li
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Yi-Chen Lin
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Ching-Wen Chang
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Yao-Wen Liang
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Vincent Laiman
- International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, 250 Wu-Xing St., Taipei 11031, Taiwan; Department of Anatomical Pathology, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada - Dr. Sardjito Hospital, Yogyakarta 55281, Indonesia
| | - Ta-Chih Hsiao
- Graduate Institute of Environmental Engineering, National Taiwan University, 1 Roosevelt Rd., Section 4, Taipei 10617, Taiwan
| | - Hsiao-Chi Chuang
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, 250 Wu-Xing St., Taipei 11031, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, 291 Zhongzheng Rd., Zhonghe Dist., New Taipei City 23561, Taiwan; Cell Physiology and Molecular Image Research Center, Wan Fang Hospital, Taipei Medical University, 111 Xinglong Rd., Section 3, Wenshan Dist., Taipei 11696, Taiwan; National Heart & Lung Institute, Imperial College London, London SW3 6LY, UK.
| | - You-Yin Chen
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan; Ph.D. Program in Medical Neuroscience, Taipei Medical University, Taipei Medical University, No. 250 Wu-Xing St., Taipei 11031, Taiwan.
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Hu Y, Zhou C, Tan C, Liu J, Huang X, Liu X, Yao C, Li D, Huang Q, Li N, Long J, Li X, Li Y, Zhou L, Cai T. The association between intermediate-term sulfur dioxide exposure and outpatient visits for Parkinson's disease: a time-series study in southwestern China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:99694-99703. [PMID: 37615914 DOI: 10.1007/s11356-023-29408-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 08/16/2023] [Indexed: 08/25/2023]
Abstract
Parkinson's disease (PD) is the second most common human neurodegenerative disorder, and the pathogenesis of it remains poorly understood. Limited studies have shown that both long- and short-term exposure to air pollutants may be associated with increased risk of PD while lacking evidence on the effects of intermediate-term exposure. In this study, over-dispersed Poisson generalized additive models (GAMs) were applied to explore the association between intermediate-term sulfur dioxide (SO2) exposure and outpatient visits for PD in Chongqing, China, and further stratified analyses were performed by age and gender. A total of 39,984 PD cases from January 1, 2014, to December 31, 2019 (2191 days) were included. The association of intermediate-term SO2 exposure with outpatient visits for PD was statistically significant: per 1 μg/m3 increase of SO2 corresponded to 2.34% (95% CI: 0.88%, 3.80%) elevation in monthly PD outpatient visits at lag 0 (the concurrent month). Stratified analyses showed that the associations between SO2 and PD outpatient visits were stronger in younger (≤ 60 years) and female patients. In conclusion, intermediate-term SO2 exposure can be associated with an increased risk of PD outpatient visits. Our results highlight the importance of recognizing the role of intermediate-term SO2 exposure in the development of PD. In addition to focusing on the effects of long-term or short-term air pollutants, it is necessary to pay more attention to the health effects of intermediate-term exposure time windows of air pollutants, which will facilitate policy formulation and public health interventions for health risks.
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Affiliation(s)
- Yuegu Hu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
| | - Chunbei Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
- Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Chunlei Tan
- Department of Quality Management, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Jianghong Liu
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Xiaolong Huang
- Medical Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Xiaoling Liu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
| | - Chunyan Yao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
| | - Dawei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
| | - Qingsong Huang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
| | - Na Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
| | - Jinyun Long
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
| | - Xiukuan Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
| | - Yafei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China
| | - Laixin Zhou
- Medical Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Tongjian Cai
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Chongqing, 400038, Shapingba, China.
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Hassanipour S, Nikbakht HA, Amrane A, Arab-Zozani M, Shojaie L, Rostami S, Badeenezhad A. The Relationship between Air Pollution and Brain Cancer: A Systematic Review and Meta-Analysis. Ann Glob Health 2023; 89:45. [PMID: 37362828 PMCID: PMC10289053 DOI: 10.5334/aogh.3889] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 04/30/2023] [Indexed: 06/28/2023] Open
Abstract
Background There is very little epidemiological evidence on the effects of ambient air pollution on brain tumor risk. The purpose of this study was to determine the relationship between exposure to air pollution and the incidence of brain tumors. Methods A comprehensive literature search in five international databases, including PubMed/Medline, ProQuest, Scopus, Embase, and ISI/WOS on April 15, 2019, was conducted. The methodology of the present study was based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement. The Newcastle-Ottawa Quality Assessment Form was used to evaluate the quality of the selected papers. Results Five studies that measured adult brain tumors as well as their long-term exposure to at least one of the pollutants criteria for air pollution, PM2.5 absorbance, and proximity to traffic (Trafnear) were reviewed. The results showed that the pooled relative risk (RR) for incidence of brain tumor and long term exposure to Trafnear, PM2.5, PM2.5 absorbance, O3 and NOx were RR = 1.07, (95% CI 0.99-1.16), P = 0.079, for Trafnear; RR = 0.90, (95% CI 0.80-1.00), P = 0.064 for PM2.5; RR = 1.63, (95% CI 1.04-2.55), P = 0.031 for PM2.5 absorbance; RR = 1.3, (95% CI 1.03-1.6), P = 0.023 for O3; and RR = 1.16, (95% CI 0.93-1.45), P = 0.173 for NOx. Exposure to other air pollutants had no statistically significant association with brain tumor incidence. Conclusion The results showed that exposure to air pollutants, such as O3 and PM2.5 absorbance, had the highest correlation with brain tumor incidence. They also showed an absence of correlation between exposure to certain pollutants (SO2, CO, NO2, PM10, PM2.5) and brain tumor incidence.
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Affiliation(s)
- Soheil Hassanipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Hossein-Ali Nikbakht
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Abdeltif Amrane
- Univ Rennes, Ecole Nationale Supérieure de Chimie de Rennes, CNRS, ISCR-UMR 6226, F-35000 Rennes, France
| | - Morteza Arab-Zozani
- Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Layla Shojaie
- Division of GI/Liver, Department of Medicine, Keck school of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Saeid Rostami
- Department of Environmental Health Engineering, Shiraz University of Medical Science, Shiraz, Iran
| | - Ahmad Badeenezhad
- Department of Environmental Health Engineering, School of Medical Sciences, Behbahan Faculty of Medical Sciences, Behbahan, Iran
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9
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Rahman RR, Kabir A. Spatiotemporal analysis and forecasting of air quality in the greater Dhaka region and assessment of a novel particulate matter filtration unit. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:824. [PMID: 37291439 DOI: 10.1007/s10661-023-11370-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 05/09/2023] [Indexed: 06/10/2023]
Abstract
Bangladesh is one of the most polluted nations in the world, with an average Air Quality Index (AQI) of 161 in 2021; its capital, Dhaka, has the worst air quality of any major city in the world. The present study aims to analyze the spatiotemporal distribution of air quality indicators in the greater Dhaka region, forecast weekly AQI, and assess the performance of a novel particulate matter filtration unit in removing particulate matter. Air quality indicators remained highest during the dry season with an average of 128.5 μm/m3, while the lowest concentration was found in the monsoon season with an average of 19.096 μm/m3. Analysis revealed a statistically significant annual increasing trend of CO, which was associated with the growing number of brick kilns and usage of high-sulfur diesel. Except for the pre-monsoon AQI, concentrations of both seasonal and yearly AQI and PM2.5 showed decreasing trend, though predominantly insignificant, demonstrating the improvement in air quality. Prevailing winds influenced the seasonal distribution of tropospheric CO & NO2. The study also employed a seasonal autoregressive integrated moving average (ARIMA) model to forecast weekly AQI values. ARIMA (3,0,4) (3,1,3) at the 7-periodicity level performed best forecasting the AQI values among all developed models with low root mean square error (RMSE)-29.42 and mean absolute percentage error (MAPE)-13.11 values. The predicted AQI values suggested that the air quality would remain unhealthy for most weeks. The experimental simulation of the particulate matter filtration unit, designed in the shape of a road divider, generated substantial cyclonic motion while maintaining a very minimal pressure drop. In the real-world scenario, using only cyclonic separation and dry deposition, the suggested air filtration system removed 40%, 44%, and 42% of PM2.5, PM10, and TSP, respectively. Without employing filters, the device removed significant amounts of particulate matter, implying enormous potential to be used in the study area. The study could be useful for policy makers to improve urban air quality and public health in Bangladesh and in other developing countries.
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Affiliation(s)
- R-Rafiul Rahman
- Department of Environmental Science, Bangladesh University of Professional, Dhaka, 1216, Bangladesh
| | - Alamgir Kabir
- Department of Environmental Science, Bangladesh University of Professional, Dhaka, 1216, Bangladesh.
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10
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Gong Y, Zhang X, Zhao X, Chang H, Zhang J, Gao Z, Mi Y, Chen Y, Zhang H, Huang C, Yu Z. Global ambient particulate matter pollution and neurodegenerative disorders: a systematic review of literature and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:39418-39430. [PMID: 36763275 DOI: 10.1007/s11356-023-25731-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/01/2023] [Indexed: 02/11/2023]
Abstract
Previous studies on particulate matter (PM) exposure and neurodegenerative disorders showed inconsistent results, and few studies systematically examined the long-term effect of PM on neurodegenerative diseases, including all-cause dementia, Alzheimer's disease, Parkinson's disease, vascular dementia, amyotrophic lateral sclerosis, and cognitive function decline. We systematically searched for published studies in PubMed, Embase, Cochrane Library, and Web of Science up to October 31, 2022. To facilitate a comparison of effect sizes from different studies, we standardized units across studies to a 10 μg/m3 increase for PM. Heterogeneity was assessed by Cochran's Q test and I2 statistic. Publication bias was evaluated using funnel plots and Egger's tests. Subgroup analysis, meta-regression, and sensitivity analysis were performed. The protocol for this review was registered with PROSPERO (CRD42021277112). Of the 3403 originally identified studies, a meta-analysis was finally performed in 49 studies. The results showed that there was a significant positive association between long-term PM2.5 exposure and all-cause dementia, Alzheimer's disease as well as Parkinson's disease, with pooled OR of 1.30 (95%CI: 1.14, 1.47, I2 = 99.3%), 1.65 (95%CI: 1.37, 1.94, I2 = 98.2%), and 1.17 (95%CI: 1.00, 1.33, I2 = 91.8%). A positive association between PM10 and vascular dementia was observed (OR = 1.12, 95%CI: 1.04, 1.21, I2 = 0.0%). Association between PM exposure and decreased cognitive function score was found. Our results highlight the important role of PM pollution, particularly PM2.5, in the risk of age-related neurodegenerative diseases and cognitive function decline.
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Affiliation(s)
- Yuting Gong
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Chang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Zhan Gao
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yang Mi
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yao Chen
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.,NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
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11
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Karakis I, Yarza S, Zlotnik Y, Ifergane G, Kloog I, Grant-Sasson K, Novack L. Contribution of Solar Radiation and Pollution to Parkinson's Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2254. [PMID: 36767621 PMCID: PMC9916057 DOI: 10.3390/ijerph20032254] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Background. Parkinson's disease (PD) is believed to develop from epigenetic modulation of gene expression through environmental factors that accounts for up to 85% of all PD cases. The main objective of this study was to examine the association between PD onset and a cumulative exposure to potentially modifiable ambient exposures. Methods. The study population comprised 3343 incident PD cases and 31,324 non-PD controls in Southern Israel. The exposures were determined based on the monitoring stations and averaged per year. Their association with PD was modeled using a distributed lag non-linear model and presented as an effect of exposure to the 75th percentile as compared to the 50th percentile of each pollutant, accumulated over the span of 5 years prior to the PD. Results. We recorded an adverse effect of particulate matter of size ≤10 μm in diameter (PM10) and solar radiation (SR) with odds ratio (OR) = 1.06 (95%CI: 1.02; 1.10) and 1.23 (95%CI: 1.08; 1.39), respectively. Ozone (O3) was also adversely linked to PD, although with a borderline significance, OR: 1.12 (95%CI: 0.99; 1.25). Immigrants arriving in Israel after 1989 appeared to be more vulnerable to exposure to O3 and SR. The dose response effect of SR, non-existent for Israeli-born (OR = 0.67, 95%CI: 0.40; 1.13), moderate for immigrants before 1989 (OR = 1.17, 95%CI: 0.98; 1.40) and relatively high for new immigrants (OR = 1.25, 95%CI: 1.25; 2.38) indicates an adaptation ability to SR. Conclusions. Our findings supported previous reports on adverse association of PD with exposure to PM10 and O3. Additionally, we revealed a link of Parkinson's Disease with SR that warrants an extensive analysis by research groups worldwide.
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Affiliation(s)
- Isabella Karakis
- Environmental Epidemiology Division, Israel Ministry of Health, Jerusalem 9446724, Israel
- Negev Environmental Health Research Institute, Soroka University Medical Center, Beer-Sheva P.O. Box 651, Israel
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva P.O. Box 653, Israel
| | - Shaked Yarza
- Negev Environmental Health Research Institute, Soroka University Medical Center, Beer-Sheva P.O. Box 651, Israel
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva P.O. Box 653, Israel
| | - Yair Zlotnik
- Neurology Department, Soroka University Medical Center, Beer-Sheva P.O. Box 651, Israel
| | - Gal Ifergane
- Neurology Department, Soroka University Medical Center, Beer-Sheva P.O. Box 651, Israel
| | - Itai Kloog
- Negev Environmental Health Research Institute, Soroka University Medical Center, Beer-Sheva P.O. Box 651, Israel
- Department of Geography and Environmental Development, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Beer-Sheva P.O. Box 653, Israel
| | - Kineret Grant-Sasson
- Negev Environmental Health Research Institute, Soroka University Medical Center, Beer-Sheva P.O. Box 651, Israel
- Soroka Clinical Research Center, Soroka University Medical Center, Beer-Sheva P.O. Box 651, Israel
| | - Lena Novack
- Negev Environmental Health Research Institute, Soroka University Medical Center, Beer-Sheva P.O. Box 651, Israel
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva P.O. Box 653, Israel
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12
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Abstract
Air pollution is a complex mixture of gases and particulate matter, with adsorbed organic and inorganic contaminants, to which exposure is lifelong. Epidemiological studies increasingly associate air pollution with multiple neurodevelopmental disorders and neurodegenerative diseases, findings supported by experimental animal models. This breadth of neurotoxicity across these central nervous system diseases and disorders likely reflects shared vulnerability of their inflammatory and oxidative stress-based mechanisms and a corresponding ability to produce brain metal dyshomeo-stasis. Future research to define the responsible contaminants of air pollution underlying this neurotoxicity is critical to understanding mechanisms of these diseases and disorders and protecting public health.
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Affiliation(s)
- Deborah A Cory-Slechta
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, New York, USA;
| | - Alyssa Merrill
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, New York, USA;
| | - Marissa Sobolewski
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, New York, USA;
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13
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Cole-Hunter T, Zhang J, So R, Samoli E, Liu S, Chen J, Strak M, Wolf K, Weinmayr G, Rodopolou S, Remfry E, de Hoogh K, Bellander T, Brandt J, Concin H, Zitt E, Fecht D, Forastiere F, Gulliver J, Hoffmann B, Hvidtfeldt UA, Jöckel KH, Mortensen LH, Ketzel M, Yacamán Méndez D, Leander K, Ljungman P, Faure E, Lee PC, Elbaz A, Magnusson PKE, Nagel G, Pershagen G, Peters A, Rizzuto D, Vermeulen RCH, Schramm S, Stafoggia M, Katsouyanni K, Brunekreef B, Hoek G, Lim YH, Andersen ZJ. Long-term air pollution exposure and Parkinson's disease mortality in a large pooled European cohort: An ELAPSE study. ENVIRONMENT INTERNATIONAL 2023; 171:107667. [PMID: 36516478 DOI: 10.1016/j.envint.2022.107667] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/22/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND The link between exposure to ambient air pollution and mortality from cardiorespiratory diseases is well established, while evidence on neurodegenerative disorders including Parkinson's Disease (PD) remains limited. OBJECTIVE We examined the association between long-term exposure to ambient air pollution and PD mortality in seven European cohorts. METHODS Within the project 'Effects of Low-Level Air Pollution: A Study in Europe' (ELAPSE), we pooled data from seven cohorts among six European countries. Annual mean residential concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC), and ozone (O3), as well as 8 PM2.5 components (copper, iron, potassium, nickel, sulphur, silicon, vanadium, zinc), for 2010 were estimated using Europe-wide hybrid land use regression models. PD mortality was defined as underlying cause of death being either PD, secondary Parkinsonism, or dementia in PD. We applied Cox proportional hazard models to investigate the associations between air pollution and PD mortality, adjusting for potential confounders. RESULTS Of 271,720 cohort participants, 381 died from PD during 19.7 years of follow-up. In single-pollutant analyses, we observed positive associations between PD mortality and PM2.5 (hazard ratio per 5 µg/m3: 1.25; 95% confidence interval: 1.01-1.55), NO2 (1.13; 0.95-1.34 per 10 µg/m3), and BC (1.12; 0.94-1.34 per 0.5 × 10-5m-1), and a negative association with O3 (0.74; 0.58-0.94 per 10 µg/m3). Associations of PM2.5, NO2, and BC with PD mortality were linear without apparent lower thresholds. In two-pollutant models, associations with PM2.5 remained robust when adjusted for NO2 (1.24; 0.95-1.62) or BC (1.28; 0.96-1.71), whereas associations with NO2 or BC attenuated to null. O3 associations remained negative, but no longer statistically significant in models with PM2.5. We detected suggestive positive associations with the potassium component of PM2.5. CONCLUSION Long-term exposure to PM2.5, at levels well below current EU air pollution limit values, may contribute to PD mortality.
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Affiliation(s)
- Thomas Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jiawei Zhang
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Sophia Rodopolou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Elizabeth Remfry
- Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate, interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Hans Concin
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy; MRC Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, United Kingdom
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany
| | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Statistics Denmark, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom
| | - Diego Yacamán Méndez
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Elodie Faure
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France
| | - Pei-Chen Lee
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France; Department of Public Health, National Cheng Kung University, Tainan, Taiwan
| | - Alexis Elbaz
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, München, Germany
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; MRC Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, United Kingdom
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
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14
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Molot J, Sears M, Marshall LM, Bray RI. Neurological susceptibility to environmental exposures: pathophysiological mechanisms in neurodegeneration and multiple chemical sensitivity. REVIEWS ON ENVIRONMENTAL HEALTH 2022; 37:509-530. [PMID: 34529912 DOI: 10.1515/reveh-2021-0043] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 08/13/2021] [Indexed: 05/23/2023]
Abstract
The World Health Organization lists air pollution as one of the top five risks for developing chronic non-communicable disease, joining tobacco use, harmful use of alcohol, unhealthy diets and physical inactivity. This review focuses on how host defense mechanisms against adverse airborne exposures relate to the probable interacting and overlapping pathophysiological features of neurodegeneration and multiple chemical sensitivity. Significant long-term airborne exposures can contribute to oxidative stress, systemic inflammation, transient receptor subfamily vanilloid 1 (TRPV1) and subfamily ankyrin 1 (TRPA1) upregulation and sensitization, with impacts on olfactory and trigeminal nerve function, and eventual loss of brain mass. The potential for neurologic dysfunction, including decreased cognition, chronic pain and central sensitization related to airborne contaminants, can be magnified by genetic polymorphisms that result in less effective detoxification. Onset of neurodegenerative disorders is subtle, with early loss of brain mass and loss of sense of smell. Onset of MCS may be gradual following long-term low dose airborne exposures, or acute following a recognizable exposure. Upregulation of chemosensitive TRPV1 and TRPA1 polymodal receptors has been observed in patients with neurodegeneration, and chemically sensitive individuals with asthma, migraine and MCS. In people with chemical sensitivity, these receptors are also sensitized, which is defined as a reduction in the threshold and an increase in the magnitude of a response to noxious stimulation. There is likely damage to the olfactory system in neurodegeneration and trigeminal nerve hypersensitivity in MCS, with different effects on olfactory processing. The associations of low vitamin D levels and protein kinase activity seen in neurodegeneration have not been studied in MCS. Table 2 presents a summary of neurodegeneration and MCS, comparing 16 distinctive genetic, pathophysiological and clinical features associated with air pollution exposures. There is significant overlap, suggesting potential comorbidity. Canadian Health Measures Survey data indicates an overlap between neurodegeneration and MCS (p < 0.05) that suggests comorbidity, but the extent of increased susceptibility to the other condition is not established. Nevertheless, the pathways to the development of these conditions likely involve TRPV1 and TRPA1 receptors, and so it is hypothesized that manifestation of neurodegeneration and/or MCS and possibly why there is divergence may be influenced by polymorphisms of these receptors, among other factors.
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Affiliation(s)
- John Molot
- Family Medicine, University of Ottawa Faculty of Medicine, North York, ON, Canada
| | | | | | - Riina I Bray
- Family and Community Medicine, University of Toronto, Toronto, ON, Canada
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15
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Klompmaker JO, Laden F, Browning MHEM, Dominici F, Jimenez MP, Ogletree SS, Rigolon A, Zanobetti A, Hart JE, James P. Associations of Greenness, Parks, and Blue Space With Neurodegenerative Disease Hospitalizations Among Older US Adults. JAMA Netw Open 2022; 5:e2247664. [PMID: 36538329 PMCID: PMC9856892 DOI: 10.1001/jamanetworkopen.2022.47664] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/31/2022] [Indexed: 12/24/2022] Open
Abstract
Importance Exposure to natural environments has been associated with health outcomes related to neurological diseases. However, the few studies that have examined associations of natural environments with neurological diseases report mixed findings. Objective To evaluate associations of natural environments with hospital admissions for Alzheimer disease and related dementias (ADRD) and Parkinson disease (PD) among older adults in the US. Design, Setting, and Participants This open cohort study included fee-for-service Medicare beneficiaries aged 65 years or older who lived in the contiguous US from January 1, 2000, to December 31, 2016. Beneficiaries entered the cohort on January 1, 2000, or January 1 of the year after enrollment. Data from US Medicare enrollment and Medicare Provider Analysis and Review files, which contain information about individual-level covariates and all hospital admissions for Medicare fee-for-service beneficiaries, were analyzed between January 2021 and September 2022. Exposures Differences in IQRs for zip code-level greenness (normalized difference vegetation index [NDVI]), percentage park cover, and percentage blue space cover (surface water; ≥1.0% vs <1.0%). Main Outcomes and Measures The main outcome was first hospitalizations with a primary or secondary discharge diagnosis of ADRD or PD. To examine associations of exposures to natural environments with ADRD and PD hospitalization, we used Cox-equivalent Poisson models. Results We included 61 662 472 and 61 673 367 Medicare beneficiaries in the ADRD and PD cohorts, respectively. For both cohorts, 55.2% of beneficiaries were women. Most beneficiaries in both cohorts were White (84.4%), were not eligible for Medicaid (87.6%), and were aged 65 to 74 years (76.6%) at study entry. We observed 7 737 609 and 1 168 940 first ADRD and PD hospitalizations, respectively. After adjustment for potential individual- and area-level confounders (eg, Medicaid eligibility and zip code-level median household income), NDVI was negatively associated with ADRD hospitalization (hazard ratio [HR], 0.95 [95% CI, 0.94-0.96], per IQR increase). We found no evidence of an association of percentage park and blue space cover with ADRD hospitalization. In contrast, NDVI (HR, 0.94 [95% CI, 0.93-0.95], per IQR increase), percentage park cover (HR, 0.97 [95% CI, 0.97-0.98], per IQR increase), and blue space cover (HR, 0.97 [95% CI, 0.96-0.98], ≥1.0% vs <1.0%) were associated with a decrease in PD hospitalizations. Patterns of effect modification by demographics differed between exposures. Conclusions and Relevance The findings of this cohort study suggest that some natural environments are associated with a decreased risk of ADRD and PD hospitalization.
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Affiliation(s)
- Jochem O. Klompmaker
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | | | - Francesca Dominici
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Marcia P. Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - S. Scott Ogletree
- OPENspace Research Centre, School of Architecture and Landscape Architecture, University of Edinburgh, Edinburgh, United Kingdom
| | - Alessandro Rigolon
- Department of City and Metropolitan Planning, University of Utah, Salt Lake City
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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Khreis H, Bredell C, Wai Fung K, Hong L, Szybka M, Phillips V, Abbas A, Lim YH, Jovanovic Andersen Z, Woodcock J, Brayne C. Impact of long-term air pollution exposure on incidence of neurodegenerative diseases: A protocol for a systematic review and exposure-response meta-analysis. ENVIRONMENT INTERNATIONAL 2022; 170:107596. [PMID: 36308811 DOI: 10.1016/j.envint.2022.107596] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Ambient air pollution is a pervasive and ubiquitous hazard, which has been linked to premature morbidity and a growing number of morbidity endpoints. Air pollution may be linked to neurodegeneration, and via this or other pathways, to neurodegenerative diseases. Emerging evidence suggests that air pollution may contribute to neurodegenerative diseases such as dementia, Parkinson's Disease (PD), Multiple Sclerosis (MS) and Motor Neuron Diseases (MND), although this evidence remains inconsistent and very limited for MS and MND. In addition, this evidence base is rapidly emerging and would benefit from a wide and critical synthesis, including a better understanding of heterogeneity. OBJECTIVES In this paper, we present a protocol for a systematic review and meta-analysis and specify our methods a priori. The main aim of the planned systematic review is to answer the question of whether long-term exposure (>1 year) to ambient (outdoor) air pollution (exposure, compared to lower exposure) increases the risk of adult (population) incidence of neurodegenerative diseases (outcomes) in epidemiological observational studies (study design). Another aim is to meta-analyze the associations between long-term exposure to ambient air pollutants and the risk of the selected outcomes and assess the shape of exposure-response functions. To set the stage for the proposed work, we also overview the existing epidemiological evidence in this protocol, but do not critically evaluate it, as these results will be fully presented in the planned systematic review. SEARCH AND STUDY ELIGIBILITY We will search the electronic databases Medline (via Ovid), Embase (via Ovid), Cochrane Library, Cinahl (via Ebscohost), Global Health (via Ebscohost), PsycINFO (via Ebscohost), Scopus, Web of Science (Core Collection), from inception to October 2022. Eligible studies must contain primary research investigating the link between 1-year + exposure to any outdoor air pollutant, from any source, and dementia, PD, MS, and MND, or dementia subtypes: Alzheimer's Disease, vascular dementia, and mixed dementia. The search strategy and eligibility criteria are pre-determined and described in full in this protocol. STUDY APPRAISAL AND SYNTHESIS METHODS Articles will be stored and screened using Rayyan QCRI. Title and abstract screening, full text review, data extraction, risk of bias assessment and data preparation for statistical analysis will be conducted independently by two reviewers using pre-defined forms and criteria, described in this protocol. All these steps will also be piloted and the forms and/or methods adapted if issues arise. Meta-analysis and assessment of the shape of the exposure-response functions will be conducted if four independent exposure-outcomes pairs are available, and the remainder of results will be synthesized in the forms of tables and via a narrative summary. Certainty in the body of evidence will be assessed using the OHAT approach. This protocol describes the planned analysis and synthesis a priori and serves to increase transparency and impact of this systematic review and meta-analysis.
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Affiliation(s)
- Haneen Khreis
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom.
| | - Christiaan Bredell
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Kwan Wai Fung
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Lucy Hong
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Magdalena Szybka
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Veronica Phillips
- University of Cambridge Medical Library, University of Cambridge School of Clinical Medicine, Hills Rd, Cambridge CB2 0SP, United Kingdom
| | - Ali Abbas
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Youn-Hee Lim
- Section of Environmental and Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 15 Øster Farimagsgade 5, 1014 Copenhagen, Denmark
| | - Zorana Jovanovic Andersen
- Section of Environmental and Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 15 Øster Farimagsgade 5, 1014 Copenhagen, Denmark
| | - James Woodcock
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge CB2 0SR, United Kingdom
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Kumar RP, Perumpully SJ, Samuel C, Gautam S. Exposure and health: A progress update by evaluation and scientometric analysis. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT : RESEARCH JOURNAL 2022; 37:453-465. [PMID: 36212796 PMCID: PMC9526460 DOI: 10.1007/s00477-022-02313-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/13/2022] [Indexed: 05/29/2023]
Abstract
Several hands are now working worldwide to reduce exposure to air pollution, especially in developing nations. Future steps should be determined and classified as possible research solutions and gaps from the massive bulk of research output. Therefore, a scientometric approach has been applied using VOSviewer to show an accurate picture and trend in the mentioned area "Air pollution exposure and health," and its signify issues. According to the proposed study, complete 26,859 documents were retrieved from the database (ISI Web of Science) related to air pollution exposure and health effects during 2018-2022. The mapping analysis is been conducted on the country's collaboration, co-authorship, institutional collaboration, and co-occurrence of keywords. The data collected shows the information about published articles (upward trend) over the years. Based on the citations and publication database, countries like China and the USA play a prominent role in air pollution exposure and health-related research. The study clearly defines the 3 domains of research and 4 major themes that have been currently focused. The case studies related to pollution and its impact on climate and health, studies involving chemical characteristics and management practices, also Hazardous health effects, theme like association of air pollutants, chemical composition and characterization of aerosols, health impacts due to exposure and modelling and analytical approach have been the most researched topics in the past 5 years. The developing and developed countries might potentially change the research network and work structure in order to obtain advancement in the field of Air pollution and enhance measures on exposure and health. The following research attempts to provide insights to the researchers and health sectors by straightening out developments up to date and raveling the research gaps that are needed to be addressed regarding Air pollution health and exposure.
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Affiliation(s)
- Roshini Praveen Kumar
- Department of Civil Engineering, Karunya Institute of Technology and Sciences, 641117 Coimbatore, India
| | - Steffi Joseph Perumpully
- Department of Civil Engineering, Karunya Institute of Technology and Sciences, 641117 Coimbatore, India
| | - Cyril Samuel
- Department of Civil Engineering, Karunya Institute of Technology and Sciences, 641117 Coimbatore, India
| | - Sneha Gautam
- Department of Civil Engineering, Karunya Institute of Technology and Sciences, 641117 Coimbatore, India
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18
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Jewell S, Herath AM, Gordon R. Inflammasome Activation in Parkinson’s Disease. JOURNAL OF PARKINSON'S DISEASE 2022; 12:S113-S128. [PMID: 35848038 PMCID: PMC9535572 DOI: 10.3233/jpd-223338] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Chronic sterile inflammation and persistent immune activation is a prominent pathological feature of Parkinson’s disease (PD). Inflammasomes are multi-protein intracellular signaling complexes which orchestrate inflammatory responses in immune cells to a diverse range of pathogens and host-derived signals. Widespread inflammasome activation is evident in PD patients at the sites of dopaminergic degeneration as well as in blood samples and mucosal biopsies. Inflammasome activation in the nigrostriatal system is also a common pathological feature in both neurotoxicant and α-synuclein models of PD where dopaminergic degeneration occurs through distinct mechanisms. The NLRP3 (NLR Family Pyrin Domain Containing 3) inflammasome has been shown to be the primary driver of inflammatory neurotoxicity in PD and other neurodegenerative diseases. Chronic NLRP3 inflammasome activation is triggered by pathogenic misfolded α-synuclein aggregates which accumulate and spread over the disease course in PD. Converging lines of evidence suggest that blocking inflammasome activation could be a promising therapeutic strategy for disease modification, with both NLRP3 knockout mice and CNS-permeable pharmacological inhibitors providing robust neuroprotection in multiple PD models. This review summarizes the current evidence and knowledge gaps around inflammasome activation in PD, the pathological mechanisms by which persistent inflammasome activation can drive dopaminergic degeneration and the therapeutic opportunities for disease modification using NLRP3 inhibitors.
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Affiliation(s)
- Shannon Jewell
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Ashane M. Herath
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Richard Gordon
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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19
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Kulason S, Ratnanather JT, Miller MI, Kamath V, Hua J, Yang K, Ma M, Ishizuka K, Sawa A. A comparative neuroimaging perspective of olfaction and higher-order olfactory processing: on health and disease. Semin Cell Dev Biol 2022; 129:22-30. [PMID: 34462249 PMCID: PMC9900497 DOI: 10.1016/j.semcdb.2021.08.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 08/18/2021] [Indexed: 02/08/2023]
Abstract
Olfactory dysfunction is often the earliest indicator of disease in a range of neurological and psychiatric disorders. One tempting working hypothesis is that pathological changes in the peripheral olfactory system where the body is exposed to many adverse environmental stressors may have a causal role for the brain alteration. Whether and how the peripheral pathology spreads to more central brain regions may be effectively studied in rodent models, and there is successful precedence in experimental models for Parkinson's disease. It is of interest to study whether a similar mechanism may underlie the pathology of psychiatric illnesses, such as schizophrenia. However, direct comparison between rodent models and humans includes challenges under light of comparative neuroanatomy and experimental methodologies used in these two distinct species. We believe that neuroimaging modality that has been the main methodology of human brain studies may be a useful viewpoint to address and fill the knowledge gap between rodents and humans in this scientific question. Accordingly, in the present review article, we focus on brain imaging studies associated with olfaction in healthy humans and patients with neurological and psychiatric disorders, and if available those in rodents. We organize this review article at three levels: 1) olfactory bulb (OB) and peripheral structures of the olfactory system, 2) primary olfactory cortical and subcortical regions, and 3) associated higher-order cortical regions. This research area is still underdeveloped, and we acknowledge that further validation with independent cohorts may be needed for many studies presented here, in particular those with human subjects. Nevertheless, whether and how peripheral olfactory disturbance impacts brain function is becoming even a hotter topic in the ongoing COVID-19 pandemic, given the risk of long-term changes of mental status associated with olfactory infection of SARS-CoV-2. Together, in this review article, we introduce this underdeveloped but important research area focusing on its implications in neurological and psychiatric disorders, with several pioneered publications.
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Affiliation(s)
- Sue Kulason
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - J Tilak Ratnanather
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Michael I Miller
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Vidyulata Kamath
- Department of Psychiatry, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jun Hua
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Kun Yang
- Department of Psychiatry, Johns Hopkins School of Medicine, Baltimore, MD, USA; Johns Hopkins Schizophrenia Center, Baltimore, MD, USA
| | - Minghong Ma
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Koko Ishizuka
- Department of Psychiatry, Johns Hopkins School of Medicine, Baltimore, MD, USA; Johns Hopkins Schizophrenia Center, Baltimore, MD, USA
| | - Akira Sawa
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Psychiatry, Johns Hopkins School of Medicine, Baltimore, MD, USA; Johns Hopkins Schizophrenia Center, Baltimore, MD, USA; Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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20
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Vidović M, Rikalovic MG. Alpha-Synuclein Aggregation Pathway in Parkinson's Disease: Current Status and Novel Therapeutic Approaches. Cells 2022; 11:cells11111732. [PMID: 35681426 PMCID: PMC9179656 DOI: 10.3390/cells11111732] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/20/2022] [Accepted: 05/22/2022] [Indexed: 01/27/2023] Open
Abstract
Following Alzheimer’s, Parkinson’s disease (PD) is the second-most common neurodegenerative disorder, sharing an unclear pathophysiology, a multifactorial profile, and massive social costs worldwide. Despite this, no disease-modifying therapy is available. PD is tightly associated with α-synuclein (α-Syn) deposits, which become organised into insoluble, amyloid fibrils. As a typical intrinsically disordered protein, α-Syn adopts a monomeric, random coil conformation in an aqueous solution, while its interaction with lipid membranes drives the transition of the molecule part into an α-helical structure. The central unstructured region of α-Syn is involved in fibril formation by converting to well-defined, β-sheet rich secondary structures. Presently, most therapeutic strategies against PD are focused on designing small molecules, peptides, and peptidomimetics that can directly target α-Syn and its aggregation pathway. Other approaches include gene silencing, cell transplantation, stimulation of intracellular clearance with autophagy promoters, and degradation pathways based on immunotherapy of amyloid fibrils. In the present review, we sum marise the current advances related to α-Syn aggregation/neurotoxicity. These findings present a valuable arsenal for the further development of efficient, nontoxic, and non-invasive therapeutic protocols for disease-modifying therapy that tackles disease onset and progression in the future.
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Affiliation(s)
- Marija Vidović
- Laboratory for Plant Molecular Biology, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11042 Belgrade, Serbia
- Correspondence: ; Tel.: +38-16-4276-3221
| | - Milena G. Rikalovic
- Environment and Sustainable Development, Singidunum Univeristy, Danijelova 32, 11010 Belgrade, Serbia;
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21
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Reichmann H, Csoti I, Koschel J, Lorenzl S, Schrader C, Winkler J, Wüllner U. Life style and Parkinson's disease. J Neural Transm (Vienna) 2022; 129:1235-1245. [PMID: 35606622 PMCID: PMC9463300 DOI: 10.1007/s00702-022-02509-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 04/27/2022] [Indexed: 11/26/2022]
Abstract
The question whether life style may impair the advent or course of the disease in patients with Parkinsonism is of great importance for patients and physicians alike. We present here comprehensive information on the influence of the environment, diet (especially caffeine, nicotine, alcohol, chocolate and dairy products), physical activity and sleep on risk and course of Parkinson’s disease.
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Affiliation(s)
- Heinz Reichmann
- Department of Neurology, University Hospital Dresden, Fetscherstrasse 74, 01307, Dresden, Germany.
| | - Ilona Csoti
- Fachklinik für Parkinson, Gertrudis Klinik Biskirchen, Karl-Ferdinand-Broll-Straße 2-4, 35638, Leun-Biskirchen, Germany
| | - Jiri Koschel
- Parkinson-Klinik, Ortenau GmbH & Co. KG, Kreuzbergstraße 12-16, 77709, Wolfach, Germany
| | - Stefan Lorenzl
- Neurologie und Palliative Care, Krankenhaus Agatharied, Norbert-Kerkel-Platz, 83734, Hausham, Germany
| | - Christoph Schrader
- Neurologische Klinik mit Klinischer Neurophysiologie OE 7210, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Juergen Winkler
- Zentrum für Bewegungserkrankungen, Molekulare Neurologie, Universitätsklinikum Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Ullrich Wüllner
- Department of Neurology, University Clinic Bonn and German Center for Neurodegenerative Diseases (DZNE), 53127, Bonn, Germany
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22
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Rodriguez-Loureiro L, Gadeyne S, Bauwelinck M, Lefebvre W, Vanpoucke C, Casas L. Long-term exposure to residential greenness and neurodegenerative disease mortality among older adults: a 13-year follow-up cohort study. Environ Health 2022; 21:49. [PMID: 35525977 PMCID: PMC9077872 DOI: 10.1186/s12940-022-00863-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 04/29/2022] [Indexed: 05/04/2023]
Abstract
BACKGROUND Living in greener areas is associated with slower cognitive decline and reduced dementia risk among older adults, but the evidence with neurodegenerative disease mortality is scarce. We studied the association between residential surrounding greenness and neurodegenerative disease mortality in older adults. METHODS We used data from the 2001 Belgian census linked to mortality register data during 2001-2014. We included individuals aged 60 years or older and residing in the five largest Belgian urban areas at baseline (2001). Exposure to residential surrounding greenness was assessed using the 2006 Normalized Difference Vegetation Index (NDVI) within 500-m from residence. We considered all neurodegenerative diseases and four specific outcomes: Alzheimer's disease, vascular dementia, unspecified dementia, and Parkinson's disease. We fitted Cox proportional hazard models to obtain hazard ratios (HR) and 95% confidence intervals (CI) of the associations between one interquartile range (IQR) increment in surrounding greenness and neurodegenerative disease mortality outcomes, adjusted for census-based covariates. Furthermore, we evaluated the potential role of 2010 air pollution (PM2.5 and NO2) concentrations, and we explored effect modification by sociodemographic characteristics. RESULTS From 1,134,502 individuals included at baseline, 6.1% died from neurodegenerative diseases during follow-up. After full adjustment, one IQR (0.22) increment of surrounding greenness was associated with a 4-5% reduction in premature mortality from all neurodegenerative diseases, Alzheimer's disease, vascular and unspecified dementia [e.g., for Alzheimer's disease mortality: HR 0.95 (95%CI: 0.93, 0.98)]. No association was found with Parkinson's disease mortality. Main associations remained for all neurodegenerative disease mortality when accounting for air pollution, but not for the majority of specific mortality outcomes. Associations were strongest in the lower educated and residents from most deprived neighbourhoods. CONCLUSIONS Living near greener spaces may reduce the risk of neurodegenerative disease mortality among older adults, potentially independent from air pollution. Socioeconomically disadvantaged groups may experience the greatest beneficial effect.
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Affiliation(s)
| | - Sylvie Gadeyne
- Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Mariska Bauwelinck
- Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Wouter Lefebvre
- Flemish Institute for Technological Research (VITO), Mol, Belgium
| | | | - Lidia Casas
- Department of Family Medicine and Population Health, Social Epidemiology and Health Policy, University of Antwerp, Wilrijk, Belgium
- Institute for Environment and Sustainable Development (IMDO), University of Antwerp, Antwerp, Belgium
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23
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Ohlsson L, Isaxon C, Wrighton S, El Ouahidi W, Fornell L, Uller L, Ansar S, Voss U. Short-term exposure to urban PM 2.5 particles induces histopathological and inflammatory changes in the rat small intestine. Physiol Rep 2022; 10:e15249. [PMID: 35416410 PMCID: PMC9006536 DOI: 10.14814/phy2.15249] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/08/2022] [Accepted: 03/15/2022] [Indexed: 06/14/2023] Open
Abstract
Air pollution and exposure to fine airborne particles with aerodynamic diameter <2.5 μm (PM2.5 ) negatively impacts human health. Airways constitute a primary route of exposure but PM2.5 -contaminated food, drinks as well as mucociliary and hepatobiliary clearance all constitute potential entry points into the intestine. This study evaluated intestinal histopathological and inflammatory changes as well as enteric neuronal numbers after short- or long-term exposure to urban PM2.5 . Using a nebulizer, male rats were exposed to a mist with a concentration of 5.3mg PM2.5 /m3 for 8 h (short term) or 1.8 mg PM2.5 /m3 for 3 h/day, 5 days/week for 8 weeks (long-term) with controls run in parallel. Samples were taken from three regions of the small intestine as well as the colon. Results showed that short-term exposure to PM2.5 induces mucosal lesions and reduces IL1β levels in the small intestine but not colon. No significant changes were observed after long-term exposure, suggesting the presence of intestinal adaptation to environmental stressors in the PM2.5 . To our knowledge, this is the first study to systematically characterize regional effects along the intestine.
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Affiliation(s)
- Lena Ohlsson
- Unit of Experimental Vascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
| | - Christina Isaxon
- Division of Ergonomics and Aerosol TechnologyDepartment of Design SciencesLund UniversityLundSweden
| | - Sebastian Wrighton
- Division of Infection MedicineDepartment of Clinical SciencesLund UniversityLundSweden
| | - Wissal El Ouahidi
- Unit of Applied Neurovascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
| | - Lisa Fornell
- Unit of Applied Neurovascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
| | - Lena Uller
- Unit of Respiratory ImmunopharmacologyDepartment of Experimental Medical SciencesLund UniversityLundSweden
| | - Saema Ansar
- Unit of Applied Neurovascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
| | - Ulrikke Voss
- Unit of Applied Neurovascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
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24
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Jung J, Park JY, Myung W, Lee JY, Ko H, Lee H. Association between Residential Greenness and Incidence of Parkinson's Disease: A Population-Based Cohort Study in South Korea. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063491. [PMID: 35329176 PMCID: PMC8951185 DOI: 10.3390/ijerph19063491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/10/2022] [Accepted: 03/11/2022] [Indexed: 11/16/2022]
Abstract
It is widely known that exposure to residential greenness is beneficial for health. However, few studies have analyzed the association between greenery and Parkinson’s disease (PD). We selected 313,355 participants who matched the inclusion criteria from the National Health Insurance Service-National Sample Cohort, followed up from 2007 to 2015. Residential greenness, represented by the normalized difference vegetation index (NDVI), was obtained from satellite measurements. We estimated hazard ratios of PD associated with a 0.1-unit increase in long-term greenness exposure at the district level for the previous 1 year of each year until a censoring/event occurred, using time-varying Cox proportional hazard models, adjusted for individual- and area-level characteristics. During the 2,745,389 person-years of follow-up, 2621(0.8%) participants developed PD. Exposure to higher levels of residential greenness was found to be associated with a decreased risk of PD incidence (21% per 0.1-unit increase, 95% confidence interval (CI): 0.74–0.84). In subgroup analyses, stronger protective effects were observed in participants aged over 50 years, females, overweight/obese participants, non-urban residents, non-smokers, alcoholics, and those with comorbidities. Long-term exposure to greenness was beneficial to incident PD, and our findings could aid in the development of public-health strategies.
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Affiliation(s)
- Jiyun Jung
- Data Management and Statistics Institute, Dongguk University Ilsan Hospital, Goyang 10326, Korea;
- Research Center for Chronic Disease and Environmental Medicine, College of Medicine, Dongguk University, Goyang 10326, Korea;
| | - Jae Yoon Park
- Research Center for Chronic Disease and Environmental Medicine, College of Medicine, Dongguk University, Goyang 10326, Korea;
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang 10326, Korea
- Department of Internal Medicine, College of Medicine, Dongguk University, Goyang 10326, Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Bundang-gu, Seongnam 13620, Korea;
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul 08826, Korea
| | - Jun-Young Lee
- Department of Psychiatry, SMG-SNU Boramae Medical Center, College of Medicine, Seoul National University, Seoul 08826, Korea;
| | - Hyunwoong Ko
- Interdisciplinary Program in Cognitive Science, Seoul National University, Seoul 08826, Korea;
| | - Hyewon Lee
- Department of Health Administration and Management, College of Medical Sciences, Soonchunhyang University, Asan 31538, Korea
- Department of Software Convergence, Soonchunhyang University Graduate School, Asan 31538, Korea
- Correspondence: ; Tel.: +82-41-530-3045; Fax: +82-41-530-3085
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25
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Dhiman V, Trushna T, Raj D, Tiwari RR. Is ambient air pollution a risk factor for Parkinson's disease? A meta-analysis of epidemiological evidence. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2022:1-18. [PMID: 35262433 DOI: 10.1080/09603123.2022.2047903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/24/2022] [Indexed: 06/14/2023]
Abstract
Current evidence shows inconsistencies about ambient air pollution (AAP) exposure as a risk factor for Parkinson's disease (PD). We performed meta-analyses to estimate the pooled risk of PD due to AAP exposure. We performed a systematic search in PubMed, Google Scholar, The Cochrane Library, and J-GATEPLUS databases for peer-reviewed epidemiological studies reporting the risk of PD due to exposure to PM2.5, PM10, O3, CO, NO2, NOX and SO2; from the beginning until October 2021. The pooled odds ratio (OR) for the effect of NO2 (per 1 μg/m3) and O3 (per 1 ppb) on PD was 1.01[95% CI: 1.00,1.02; I2 = 69% (p = .01)] and 1.01 [95% CI: 1.00,1.02; I2 = 66% (p = .03)], respectively. The ORs for the effects of PM2.5 (per 1 µg/m3) and CO (per 1 ppm) on PD were 1.01 [95% CI: .99,1.03; I2 = 40%] and 1.64 [95% CI: .96,2.78; I2 = 75% (p = .01)], respectively. The study showed the adverse roles of NO2, O3, PM2.5, and CO in increasing the risk for PD.
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Affiliation(s)
- Vikas Dhiman
- Department of Environmental Health and Epidemiology, ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Tanwi Trushna
- Department of Environmental Health and Epidemiology, ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Dharma Raj
- Department of Biostatistics and Bioinformatics, ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
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26
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Long E, Carlsten C. Controlled human exposure to diesel exhaust: results illuminate health effects of traffic-related air pollution and inform future directions. Part Fibre Toxicol 2022; 19:11. [PMID: 35139881 PMCID: PMC8827176 DOI: 10.1186/s12989-022-00450-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 01/31/2022] [Indexed: 12/03/2022] Open
Abstract
Air pollution is an issue of increasing interest due to its globally relevant impacts on morbidity and mortality. Controlled human exposure (CHE) studies are often employed to investigate the impacts of pollution on human health, with diesel exhaust (DE) commonly used as a surrogate of traffic related air pollution (TRAP). This paper will review the results derived from 104 publications of CHE to DE (CHE-DE) with respect to health outcomes. CHE-DE studies have provided mechanistic evidence supporting TRAP’s detrimental effects on related to the cardiovascular system (e.g., vasomotor dysfunction, inhibition of fibrinolysis, and impaired cardiac function) and respiratory system (e.g., airway inflammation, increased airway responsiveness, and clinical symptoms of asthma). Oxidative stress is thought to be the primary mechanism of TRAP-induced effects and has been supported by several CHE-DE studies. A historical limitation of some air pollution research is consideration of TRAP (or its components) in isolation, limiting insight into the interactions between TRAP and other environmental factors often encountered in tandem. CHE-DE studies can help to shed light on complex conditions, and several have included co-exposure to common elements such as allergens, ozone, and activity level. The ability of filters to mitigate the adverse effects of DE, by limiting exposure to the particulate fraction of polluted aerosols, has also been examined. While various biomarkers of DE exposure have been evaluated in CHE-DE studies, a definitive such endpoint has yet to be identified. In spite of the above advantages, this paradigm for TRAP is constrained to acute exposures and can only be indirectly applied to chronic exposures, despite the critical real-world impact of living long-term with TRAP. Those with significant medical conditions are often excluded from CHE-DE studies and so results derived from healthy individuals may not apply to more susceptible populations whose further study is needed to avoid potentially misleading conclusions. In spite of limitations, the contributions of CHE-DE studies have greatly advanced current understanding of the health impacts associated with TRAP exposure, especially regarding mechanisms therein, with important implications for regulation and policy.
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Affiliation(s)
- Erin Long
- Faculty of Medicine, University of British Columbia, 317 - 2194 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Christopher Carlsten
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, 2775 Laurel Street 7th Floor, Vancouver, BC, V5Z 1M9, Canada.
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27
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Kasdagli MI, Katsouyanni K, de Hoogh K, Lagiou P, Samoli E. Investigating the association between long-term exposure to air pollution and greenness with mortality from neurological, cardio-metabolic and chronic obstructive pulmonary diseases in Greece. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 292:118372. [PMID: 34656679 DOI: 10.1016/j.envpol.2021.118372] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 10/12/2021] [Accepted: 10/13/2021] [Indexed: 05/20/2023]
Abstract
Long-term exposure to air pollution has been associated with increased natural-cause mortality, but the evidence on diagnoses-specific mortality outcomes is limited. Few studies have examined the potential synergistic effects of exposure to pollutants and greenness. We investigated the association between exposure to air pollution and greenness with nervous system related mortality, cardiometabolic and chronic obstructive pulmonary diseases (COPD) mortality in Greece, using an ecological study design. We collected socioeconomic and mortality data for 1035 municipal units from the 2011 Census. Annual PM2.5, NO2, BC and O3 concentrations for 2010 were predicted at 100 × 100 m grids by hybrid land use regression models. The normalized difference vegetation index (NDVI) was used for greenness. We applied single and two-exposure Poisson regression models on standardized mortality rates accounting for spatial autocorrelation. We assessed interactions between pollutants and greenness. An interquartile range increase in PM2.5, NO2 and BC was associated with increased risk in mortality from diseases of the nervous system (relative risk (RR): 1.14, 95% confidence interval (CI): 1.01, 1.28); 1.03 (95% CI: 0.99, 1.07); 1.05 (95% CI: 1.00, 1.10) respectively) and from cerebrovascular disease (RR: 1.14, 95% CI: 1.10, 1.18); 1.02 (95% CI: 1.01, 1.04); 1.02 (95% CI: 1.00, 1.04) respectively). PM2.5 was associated with ischemic heart disease mortality (RR: 1.05, 95% CI: 1.01, 1.10). We estimated inverse associations for all outcomes with O3 and for mortality from diseases of the nervous system or COPD with greenness. Estimates were mostly robust to co-exposure adjustment. Interactions were identified between NDVI and O3 or PM2.5 on mortality from the diseases of the nervous system, with higher effect estimates in greener areas. Our findings support the adverse effects of air pollution and the beneficial role of greenness on cardiovascular and nervous system related mortality. Further research is needed on diabetes mellitus.
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Affiliation(s)
- Maria-Iosifina Kasdagli
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Environmental Research Group, MRC Centre for Environment and Health, Imperial College, United Kingdom
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
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Ou Z, Pan J, Tang S, Duan D, Yu D, Nong H, Wang Z. Global Trends in the Incidence, Prevalence, and Years Lived With Disability of Parkinson's Disease in 204 Countries/Territories From 1990 to 2019. Front Public Health 2021; 9:776847. [PMID: 34950630 PMCID: PMC8688697 DOI: 10.3389/fpubh.2021.776847] [Citation(s) in RCA: 189] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 11/15/2021] [Indexed: 01/25/2023] Open
Abstract
Background: Parkinson's disease (PD) is an increasing challenge to public health. Tracking the temporal trends of PD burden would inform health strategies. Methods: Data of PD burden was obtained from the Global Burden of Disease 2019. Trends in the incidence, prevalence, and years lived with disability (YLDs) of PD were estimated using the annual percentage change (EAPC) and age-standardized rate (ASR) from 1990 to 2019. The EAPCs were calculated with ASR through a linear regression model. Results: The overall ASR of the incidence, prevalence, and YLDs of PD increased from 1990 to 2019, and their EAPCs were 0.61 (95% confidence interval [CI]: 0.58–0.65), 0.52 (95% CI: 0.43–0.61), and 0.53 (95% CI: 0.44–0.62). The largest number of PD patients was seen in the groups aged more than 65 years, and the percentage rapidly increased in the population aged more than 80 years. Upward trends in the ASR of PD were observed in most settings over the past 30 years. Incident trends of ASR increased pronouncedly in the United States of America and Norway, in which the respective EAPCs were 2.87 (95% CI: 2.35–3.38) and 2.14 (95% CI: 2.00–2.29). Additionally, the largest increasing trends for prevalence and YLDs were seen in Norway, with the respective EAPCs of 2.63 (95% CI: 2.43–2.83) and 2.61 (95% CI: 2.41–2.80). However, decreasing trends in PD appeared in about 30 countries, particularly Italy and the Republic of Moldova. Conclusions: Increasing trends in the burden of PD were observed globally, and in most regions and countries from 1990 to 2019. Our findings suggested that the control and management of PD should be strengthened, especially when considering the aging tendency of the population.
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Affiliation(s)
- Zejin Ou
- Department of Central Laboratory, Guangzhou Twelfth People's Hospital, Guangzhou, China.,Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou, China
| | - Jing Pan
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou, China.,Guangzhou Occupational Disease Prevention and Treatment Hospital, Guangzhou, China
| | - Shihao Tang
- Guangzhou Occupational Disease Prevention and Treatment Hospital, Guangzhou, China
| | - Danping Duan
- Guangzhou Occupational Disease Prevention and Treatment Hospital, Guangzhou, China
| | - Danfeng Yu
- Department of Medical Intensive Care Unit (MICU), Guangdong Women and Children Hospital, Guangzhou, China
| | - Huiqi Nong
- Department of Central Laboratory, Guangzhou Twelfth People's Hospital, Guangzhou, China
| | - Zhi Wang
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou, China.,Guangzhou Occupational Disease Prevention and Treatment Hospital, Guangzhou, China
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Johnson AM, Ou ZYA, Gordon R, Saminathan H. Environmental neurotoxicants and inflammasome activation in Parkinson's disease - A focus on the gut-brain axis. Int J Biochem Cell Biol 2021; 142:106113. [PMID: 34737076 DOI: 10.1016/j.biocel.2021.106113] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 10/25/2021] [Accepted: 10/29/2021] [Indexed: 12/26/2022]
Abstract
Inflammasomes are multi-protein complexes expressed in immune cells that function as intracellular sensors of environmental, metabolic and cellular stress. Inflammasome activation in the brain, has been shown to drive neuropathology and disease progression by multiple mechanisms, making it one of the most attractive therapeutic targets for disease modification in Parkinson's Disease (PD). Extensive inflammasome activation is evident in the brains of people with PD at the sites of dopaminergic degeneration and synuclein aggregation. While substantial progress has been made on validating inflammasome activation as a therapeutic target for PD, the mechanisms by which inflammasome activation is triggered and sustained over the disease course remain poorly understood. A growing body of evidence point to environmental and occupational chemical exposures as possible triggers of inflammasome activation in PD. The involvement of the gastrointestinal system and gut microbiota in PD pathophysiology is beginning to be elucidated, especially the profound link between gut dysbiosis and immune activation. While large cohort studies confirmed specific changes in the gut microbiota in PD patients compared to age-matched healthy controls, recent research suggest that synuclein pathology could be initiated in the gastrointestinal tract. In this review, we present a summarized perspective on current understanding on inflammasome activation and the gut-brain-axis link during PD pathophysiology. We discuss multiple environmental toxicants that are implicated as the etiological agents in causing idiopathic PD and their mechanistic underpinnings during neuroinflammatory events. We additionally present future directions that needs to address the research questions related to the gut-microbiome-brain mechanisms in PD.
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Affiliation(s)
- Aishwarya M Johnson
- Department of Veterinary Medicine, College of Food and Agriculture, United Arab Emirates University, Al Ain, UAE
| | - Zhen-Yi Andy Ou
- Translational Neuroscience Laboratory, UQ Centre for Clinical Research, The University of Queensland, Australia; School of Biomedical Sciences, University of Queensland, Australia
| | - Richard Gordon
- Translational Neuroscience Laboratory, UQ Centre for Clinical Research, The University of Queensland, Australia; School of Biomedical Sciences, University of Queensland, Australia
| | - Hariharan Saminathan
- Department of Veterinary Medicine, College of Food and Agriculture, United Arab Emirates University, Al Ain, UAE.
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30
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Feng Y, Liu R, Chiu YH, Chang TH. Dynamic Linkages Among Energy Consumption, Environment and Health Sustainability: Evidence from the Different Income Level Countries. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2021; 57:46958020975220. [PMID: 33238776 PMCID: PMC7705394 DOI: 10.1177/0046958020975220] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Environment pollution was closely related to human health. The energy consumption is one of the important sources of environmental pollution in the development of economy. This paper used undesirable two-stage meta-frontier DDF (distance difference function) data envelopment analysis model to explore the impact of environment pollutants from energy consumption on the mortality of children and the aged, survival rate of 65 years old and health expenditure efficiency in 27 high income countries, 21 upper middle income countries, and 16 lower middle income countries from 2010 to 2014. High income countries had higher efficiency of energy and health than middle income countries in general. But whether in high income or middle income countries, the efficiency of non-renewable energy is higher than renewable energy. There was much room for both high income countries and middle income countries to improve renewable energy efficiency. Besides, middle income countries need to improve the efficiency of non-renewable energy and reduce pollutant emissions per unit of GDP. In terms of health efficiency, upper middle income countries performed worse than lower income countries. This phenomenon might indicate there was a U-shaped relationship between health efficiency and income level. Upper income countries should pay more attention to the environmental and health problems and cross the U-shaped turning point. The contribution of this article was to consider the heterogeneous performance of energy efficiency, environmental efficiency, and health efficiency under the influence of income level differences, and found that there might be a U-shaped relationship between health efficiency and income level.
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Affiliation(s)
| | - Ren Liu
- Jilin University, Changchun, Jilin, China
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31
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Mukherjee S, Dasgupta S, Mishra PK, Chaudhury K. Air pollution-induced epigenetic changes: disease development and a possible link with hypersensitivity pneumonitis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:55981-56002. [PMID: 34498177 PMCID: PMC8425320 DOI: 10.1007/s11356-021-16056-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/16/2021] [Indexed: 05/16/2023]
Abstract
Air pollution is a serious threat to our health and has become one of the major causes of many diseases including cardiovascular disease, respiratory disease, and cancer. The association between air pollution and various diseases has long been a topic of research interest. However, it remains unclear how air pollution actually impacts health by modulating several important cellular functions. Recently, some evidence has emerged about air pollution-induced epigenetic changes, which are linked with the etiology of various human diseases. Among several epigenetic modifications, DNA methylation represents the most prominent epigenetic alteration underlying the air pollution-induced pathogenic mechanism. Several other types of epigenetic changes, such as histone modifications, miRNA, and non-coding RNA expression, have also been found to have been linked with air pollution. Hypersensitivity pneumonitis (HP), one of the most prevalent forms of interstitial lung diseases (ILDs), is triggered by the inhalation of certain organic and inorganic substances. HP is characterized by inflammation in the tissues around the lungs' airways and may lead to irreversible lung scarring over time. This review, in addition to other diseases, attempts to understand whether certain pollutants influence HP development through such epigenetic modifications.
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Affiliation(s)
- Suranjana Mukherjee
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721302, India.
| | - Sanjukta Dasgupta
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721302, India
| | - Pradyumna K Mishra
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, Madhya Pradesh, 462030, India
| | - Koel Chaudhury
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721302, India
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32
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Jo S, Kim YJ, Park KW, Hwang YS, Lee SH, Kim BJ, Chung SJ. Association of NO2 and Other Air Pollution Exposures With the Risk of Parkinson Disease. JAMA Neurol 2021; 78:800-808. [PMID: 33999109 DOI: 10.1001/jamaneurol.2021.1335] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Importance The development of Parkinson disease (PD) may be promoted by exposure to air pollution. Objective To investigate the potential association between exposure to particulate matters (PM2.5 and PM10), nitrogen dioxide (NO2), ozone (O3), sulfur dioxide (SO2), and carbon monoxide (CO) and the risk of incident PD. Design, Setting, and Participants This retrospective cohort study used data from the Korean National Health Insurance Service. Among the 1 021 208 Korean individuals in the database, those who had lived in Seoul from January 2002 to December 2006 (n = 176 875) were screened for eligibility. A total of 78 830 adults older than 40 years without PD and who lived in Seoul between January 2002 and December 2006 were included in this study. Individuals diagnosed with PD before 2006 (n = 159) and individuals 40 years or younger (n = 97 886) were excluded. Each participant was followed up with annually from January 2007 to December 2015, thereby adding up to 757 704 total person-years of follow-up. Data were analyzed from January to September 2020. Exposures Individual exposure levels to PM2.5, PM10, NO2, O3, SO2, and CO were estimated based on the participants' residential address at the district level. To evaluate long-term exposure to air pollution, time-varying 5-year mean air pollutant exposure was calculated for each participant. Main Outcomes and Measures The outcome measure was the association between air pollution and the risk of incident PD measured as hazard ratios after adjusting for demographic factors, socioeconomic factors, and medical comorbidities. Results At baseline, the mean (SD) age of the 78 830 participants was 54.4 (10.7) years, and 41 070 (52.1%) were female. A total of 338 individuals with newly diagnosed PD were identified during the study period. Exposure to NO2 was associated with an increase in risk of PD (hazard ratio for highest vs lowest quartile, 1.41; 95% CI, 1.02-1.95; P for trend = .045). No statistically significant associations between exposure to PM2.5, PM10, O3, SO2, or CO and PD incidence were found. Conclusions and Relevance In this large cohort study, a statistically significant association between NO2 exposure and PD risk was identified. This finding suggests the role of air pollutants in PD development, advocating for the need to implement a targeted public health policy.
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Affiliation(s)
- Sungyang Jo
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ye-Jee Kim
- Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kye Won Park
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yun Su Hwang
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Seung Hyun Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sun Ju Chung
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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33
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Affiliation(s)
- E Ray Dorsey
- Center for Health + Technology, Department of Neurology, University of Rochester Medical Center, Rochester, New York
| | - Michael S Okun
- Norman Fixel Institute for Neurological Diseases, Department of Neurology, University of Florida, Gainesville.,Associate Editor, JAMA Neurology
| | - Caroline M Tanner
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco
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34
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Yu Z, Wei F, Zhang X, Wu M, Lin H, Shui L, Jin M, Wang J, Tang M, Chen K. Air pollution, surrounding green, road proximity and Parkinson's disease: A prospective cohort study. ENVIRONMENTAL RESEARCH 2021; 197:111170. [PMID: 33887274 DOI: 10.1016/j.envres.2021.111170] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/04/2021] [Accepted: 04/08/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Though growing evidence has linked air pollution to Parkinson's disease (PD), the results remain inconsistent. Less is known about the relevance of road proximity and surrounding green. We aimed to investigate the individual and joint associations of air pollution, road proximity and surrounding green with the incidence of PD in a prospective cohort study. METHODS We used data from a prospective cohort of 47,516 participants recruited from July 2015 to January 2018 in Ningbo, China. Long-term exposure to particulate matter with aerodynamic diameter ≤2.5 μm (PM2.5) and ≤10 μm (PM10) and nitrogen dioxide (NO2) estimated by land-use regression models, road proximity and surrounding green assessed by Normalized Difference Vegetation Index (NDVI) were calculated based on the residential address for each participant. Cox proportional hazard models were used to analyze the individual and joint effects of air pollution, road proximity, and surrounding green on PD. RESULTS In single-exposure models, PM2.5, PM10, NO2 and road proximity was associated with increased risk of PD (e.g. Hazard Ratio (HR) = 1.51, 95%CI:1.02, 2.24 per interquartile range (IQR) increase for PM2.5) while surrounding green was associated with decreased risk of PD (e.g. HR = 0.80, 95%CI:0.65, 0.98 per IQR increase for NDVI in 300 m buffer). In two-exposure models, the associations of PM2.5 and surrounding green persisted while the associations of NO2 and road proximity attenuated towards unity. CONCLUSIONS We found that PM2.5 were associated with increased risk of incident PD while surrounding green was associated with decreased risk of PD. Future studies about PD etiology may benefit from including multiple environmental exposures to address potential joint associations.
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Affiliation(s)
- Zhebin Yu
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Fang Wei
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Xinhan Zhang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Mengyin Wu
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Hongbo Lin
- The Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang, China
| | - Liming Shui
- Health Commission of Ningbo, Zhejiang, China
| | - Mingjuan Jin
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China; Department of Epidemiology and Biostatistics, And Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Jianbing Wang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China; Department of Epidemiology and Biostatistics, And National Clinical Research Center for Child Health of the Children's Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Mengling Tang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China.
| | - Kun Chen
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China; Department of Epidemiology and Biostatistics, And Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
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35
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Gonçalves PB, Sodero ACR, Cordeiro Y. Green Tea Epigallocatechin-3-gallate (EGCG) Targeting Protein Misfolding in Drug Discovery for Neurodegenerative Diseases. Biomolecules 2021; 11:767. [PMID: 34065606 PMCID: PMC8160836 DOI: 10.3390/biom11050767] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 05/14/2021] [Accepted: 05/16/2021] [Indexed: 12/15/2022] Open
Abstract
The potential to treat neurodegenerative diseases (NDs) of the major bioactive compound of green tea, epigallocatechin-3-gallate (EGCG), is well documented. Numerous findings now suggest that EGCG targets protein misfolding and aggregation, a common cause and pathological mechanism in many NDs. Several studies have shown that EGCG interacts with misfolded proteins such as amyloid beta-peptide (Aβ), linked to Alzheimer's disease (AD), and α-synuclein, linked to Parkinson's disease (PD). To date, NDs constitute a serious public health problem, causing a financial burden for health care systems worldwide. Although current treatments provide symptomatic relief, they do not stop or even slow the progression of these devastating disorders. Therefore, there is an urgent need to develop effective drugs for these incurable ailments. It is expected that targeting protein misfolding can serve as a therapeutic strategy for many NDs since protein misfolding is a common cause of neurodegeneration. In this context, EGCG may offer great potential opportunities in drug discovery for NDs. Therefore, this review critically discusses the role of EGCG in NDs drug discovery and provides updated information on the scientific evidence that EGCG can potentially be used to treat many of these fatal brain disorders.
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Affiliation(s)
| | | | - Yraima Cordeiro
- Faculty of Pharmacy, Federal University of Rio de Janeiro, Rio de Janeiro 21949-900, Brazil; (P.B.G.); (A.C.R.S.)
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Kawada T. Letter to the Editor regarding Wang Y, Liu Y, Yan H. 2020. Effect of long-term particulate matter exposure on Parkinson's risk. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2021; 43:1759-1760. [PMID: 33411167 DOI: 10.1007/s10653-020-00789-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 12/03/2020] [Indexed: 06/12/2023]
Affiliation(s)
- Tomoyuki Kawada
- Department of Hygiene and Public Health, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-Ku, Tokyo, 113-8602, Japan.
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Liu Q, Wang W, Gu X, Deng F, Wang X, Lin H, Guo X, Wu S. Association between particulate matter air pollution and risk of depression and suicide: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:9029-9049. [PMID: 33481201 DOI: 10.1007/s11356-021-12357-3] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 01/02/2021] [Indexed: 06/12/2023]
Abstract
An increasing number of studies examined the potential effects of ambient particulate matter (PM: PM2.5 and PM10-PMs with diameters not greater than 2.5 and 10 μm, respectively) pollution on the risk of depression and suicide; however, the results have been inconclusive. This study aimed to determine the overall relationship between PM exposure and depression/suicide based on current evidence. We conducted a systematic review and meta-analysis of current available studies. Thirty articles (20 for depression and 10 for suicide) with data from 1,447,313 participants were included in the meta-analysis. For a 10 μg/m3 increase in short-term exposure to PM2.5, we found a 2% (p < 0.001) increased the risk of depression and a 2% (p = 0.001) increased risk of suicide. A 10 μg/m3 increase in long-term exposure to PM2.5 was associated with a more apparent increase of 18% (p = 0.005) in depression risk. In addition, a 10 μg/m3 increase in short-term exposure to PM10 was associated with a 2% (p = 0.003) increase in depression risk and a 1% (p = 0.002) increase in suicide risk. Subgroup analyses showed that associations between PM and depression were more apparent in people over 65 years and from developed regions. Besides, the study design and study quality might also have an impact on their associations. The meta-analysis found that an increase in ambient PM concentration was strongly associated with an increased risk of depression and suicide, and the associations for depression appeared stronger for smaller particles (PM2.5) and at a long-term time pattern.
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Affiliation(s)
- Qisijing Liu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China
| | - Xuelin Gu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China
| | - Xueqin Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Hualiang Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China.
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The Impact of Air Pollution on Neurodegenerative Diseases. Ther Drug Monit 2021; 43:69-78. [PMID: 33009291 DOI: 10.1097/ftd.0000000000000818] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 09/23/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND With the development of industrialization in human society, ambient pollutants are becoming more harmful to human health. Epidemiological and toxicological studies indicate that a close relationship exists between particulate matter with a diameter ≤2.5 µm (PM2.5) and neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD). To further confirm the relationship, we focus on possible relevant mechanisms of oxidative stress and neuroinflammation underlying the association between PM2.5 and neurodegenerative diseases in the review. METHODS A literature search was performed on the studies about PM2.5 and neurodegenerative diseases via PubMed. A total of 113 articles published were selected, and 31 studies were included. RESULTS PM2.5 can enter the central nervous system through 2 main pathways, the blood-brain barrier and olfactory neurons. The inflammatory response and oxidative stress are 2 primary mechanisms via which PM2.5 leads to toxicity in the brain. PM2.5 abnormally activates microglia, inducing the neuroinflammatory process. Inflammatory markers such as IL-1β play an essential role in neurodegenerative diseases such as AD and PD. Moreover, the association between lipid mechanism disorders related to PM2.5 and neurodegenerative diseases has been gaining momentum. CONCLUSIONS In conclusion, PM2.5 could significantly increase the risk of neurological disorders, such as AD and PD. Furthermore, any policy aimed at reducing air-polluting emissions and increasing air quality would be protective in human beings.
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Rojas-Rueda D, Morales-Zamora E, Alsufyani WA, Herbst CH, AlBalawi SM, Alsukait R, Alomran M. Environmental Risk Factors and Health: An Umbrella Review of Meta-Analyses. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18020704. [PMID: 33467516 PMCID: PMC7830944 DOI: 10.3390/ijerph18020704] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/31/2020] [Accepted: 01/12/2021] [Indexed: 12/13/2022]
Abstract
Background: Environmental health is a growing area of knowledge, continually increasing and updating the body of evidence linking the environment to human health. Aim: This study summarizes the epidemiological evidence on environmental risk factors from meta-analyses through an umbrella review. Methods: An umbrella review was conducted on meta-analyses of cohort, case-control, case-crossover, and time-series studies that evaluated the associations between environmental risk factors and health outcomes defined as incidence, prevalence, and mortality. The specific search strategy was designed in PubMed using free text and Medical Subject Headings (MeSH) terms related to risk factors, environment, health outcomes, observational studies, and meta-analysis. The search was limited to English, Spanish, and French published articles and studies on humans. The search was conducted on September 20, 2020. Risk factors were defined as any attribute, characteristic, or exposure of an individual that increases the likelihood of developing a disease or death. The environment was defined as the external elements and conditions that surround, influence, and affect a human organism or population’s life and development. The environment definition included the physical environment such as nature, built environment, or pollution, but not the social environment. We excluded occupational exposures, microorganisms, water, sanitation and hygiene (WASH), behavioral risk factors, and no-natural disasters. Results: This umbrella review found 197 associations among 69 environmental exposures and 83 diseases and death causes reported in 103 publications. The environmental factors found in this review were air pollution, environmental tobacco smoke, heavy metals, chemicals, ambient temperature, noise, radiation, and urban residential surroundings. Among these, we identified 65 environmental exposures defined as risk factors and 4 environmental protective factors. In terms of study design, 57 included cohort and/or case-control studies, and 46 included time-series and/or case-crossover studies. In terms of the study population, 21 included children, and the rest included adult population and both sexes. In this review, the largest body of evidence was found in air pollution (91 associations among 14 air pollution definitions and 34 diseases and mortality diagnoses), followed by environmental tobacco smoke with 24 associations. Chemicals (including pesticides) were the third larger group of environmental exposures found among the meta-analyses included, with 19 associations. Conclusion: Environmental exposures are an important health determinant. This review provides an overview of an evolving research area and should be used as a complementary tool to understand the connections between the environment and human health. The evidence presented by this review should help to design public health interventions and the implementation of health in all policies approach aiming to improve populational health.
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Affiliation(s)
- David Rojas-Rueda
- Department of Environmental and Radiological Health Sciences, Colorado State University, Environmental Health Building, 1601 Campus Delivery, Fort Collins, CO 80523, USA
- Correspondence: ; Tel.: +1-(970)-491-7038; Fax: +1-(970)-491-2940
| | | | - Wael Abdullah Alsufyani
- Saudi Center for Disease Prevention and Control, 70 SCDC Building, Al Aarid, King Abdulaziz Rd, Riyadh 13354, Saudi Arabia; (W.A.A.); (S.M.A.); (M.A.)
| | - Christopher H. Herbst
- Health, Nutrition and Population Global Practice, The World Bank, Diplomatic Quarter, Riyadh Country Office, Riyadh 94623, Saudi Arabia; (C.H.H.); (R.A.)
| | - Salem M. AlBalawi
- Saudi Center for Disease Prevention and Control, 70 SCDC Building, Al Aarid, King Abdulaziz Rd, Riyadh 13354, Saudi Arabia; (W.A.A.); (S.M.A.); (M.A.)
| | - Reem Alsukait
- Health, Nutrition and Population Global Practice, The World Bank, Diplomatic Quarter, Riyadh Country Office, Riyadh 94623, Saudi Arabia; (C.H.H.); (R.A.)
- Community Health Department, King Saud University, Riyadh 11433, Saudi Arabia
| | - Mashael Alomran
- Saudi Center for Disease Prevention and Control, 70 SCDC Building, Al Aarid, King Abdulaziz Rd, Riyadh 13354, Saudi Arabia; (W.A.A.); (S.M.A.); (M.A.)
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Fleury V, Himsl R, Joost S, Nicastro N, Bereau M, Guessous I, Burkhard PR. Geospatial analysis of individual-based Parkinson's disease data supports a link with air pollution: A case-control study. Parkinsonism Relat Disord 2021; 83:41-48. [PMID: 33476876 DOI: 10.1016/j.parkreldis.2020.12.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 12/18/2020] [Accepted: 12/18/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND The etiology of Parkinson's disease (PD) remains unknown. To approach the issue of PD's risk factors from a new perspective, we hypothesized that coupling the geographic distribution of PD with spatial statistics may provide new insights into environmental epidemiology research. The aim of this case-control study was to examine the spatial dependence of PD prevalence in the Canton of Geneva, Switzerland (population = 474,211). METHODS PD cases were identified through Geneva University Hospitals, private neurologists and nursing homes medical records (n = 1115). Controls derived from a population-based study (n = 12,614) and a comprehensive population census dataset (n = 237,771). All individuals were geographically localized based on their place of residence. Spatial Getis-Ord Gi* statistics were used to identify clusters of high versus low disease prevalence. Confounder-adjustment was performed for age, sex, nationality and income. Tukey's honestly significant difference was used to determine whether nitrogen dioxide and particulate matters PM10 concentrations were different within PD hotspots, coldspots or neutral areas. RESULTS Confounder-adjustment greatly reduced greatly the spatial association. Characteristics of the geographic space influenced PD prevalence in 6% of patients. PD hotspots were concentrated in the urban centre. There was a significant difference in mean annual nitrogen dioxide and PM10 levels (+3.6 μg/m3 [p < 0.001] and +0.63 μg/m3 [p < 0.001] respectively) between PD hotspots and coldspots. CONCLUSION PD prevalence exhibited a spatial dependence for a small but significant proportion of patients. A positive association was detected between PD clusters and air pollution. Our data emphasize the multifactorial nature of PD and support a link between PD and air pollution.
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Affiliation(s)
- Vanessa Fleury
- Division of Neurology, Geneva University Hospitals, 1211, Geneva 14, Switzerland; Faculty of Medicine, University of Geneva, CMU, 1211, Geneva 4, Switzerland.
| | - Rebecca Himsl
- Unit of Population Epidemiology, Division of Primary Care Medicine, Department of Primary Care Medicine, Geneva University Hospitals, 1211, Geneva 14, Switzerland; Geographic Information Research and Analysis in Population Health (GIRAPH) Group, Geneva University Hospitals, Geneva and Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland; Laboratory of Geographical Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - Stéphane Joost
- Geographic Information Research and Analysis in Population Health (GIRAPH) Group, Geneva University Hospitals, Geneva and Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland; Laboratory of Geographical Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland; La Source, School of Nursing, University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland
| | - Nicolas Nicastro
- Division of Neurology, Geneva University Hospitals, 1211, Geneva 14, Switzerland; Department of Psychiatry, University of Cambridge, UK
| | - Matthieu Bereau
- Division of Neurology, Geneva University Hospitals, 1211, Geneva 14, Switzerland
| | - Idris Guessous
- Faculty of Medicine, University of Geneva, CMU, 1211, Geneva 4, Switzerland; Unit of Population Epidemiology, Division of Primary Care Medicine, Department of Primary Care Medicine, Geneva University Hospitals, 1211, Geneva 14, Switzerland; Geographic Information Research and Analysis in Population Health (GIRAPH) Group, Geneva University Hospitals, Geneva and Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - Pierre R Burkhard
- Division of Neurology, Geneva University Hospitals, 1211, Geneva 14, Switzerland; Faculty of Medicine, University of Geneva, CMU, 1211, Geneva 4, Switzerland
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Li Y, Liao Q, Zhao X, Tao Y, Bai Y, Peng L. Premature mortality attributable to PM 2.5 pollution in China during 2008-2016: Underlying causes and responses to emission reductions. CHEMOSPHERE 2021; 263:127925. [PMID: 32818847 DOI: 10.1016/j.chemosphere.2020.127925] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/17/2020] [Accepted: 08/04/2020] [Indexed: 06/11/2023]
Abstract
Long-term exposure to fine particulate matter (PM2.5) poses a great threat to public health in China. To this end, the Chinese government promulgated the Air Pollution Prevention and Control Action Plan (the Action Plan) in 2013. However, the health benefits of the Action Plan have not been well explained. In this paper, the underlying causes of changes in premature mortality attributable to PM2.5 pollution and the response of this mitigation policy in China were explored using sensitivity analysis. The simulated annual average PM2.5 concentration reduced by 24.9% over mainland China from 2008 to 2016. Subsequently, national premature mortality would decrease by 14.4% from 1.14 million (95% CI: 0.54, 1.55) in 2008 to 0.98 million (95% CI: 0.44, 1.38) in 2016. Specifically, premature mortality reduced by 209,600 cases (-18.3%) owing to PM2.5 reduction during 2008-2016, of which 188,500 cases were from 2014 to 2016 due to the Action Plan in 2013. Note that the health benefits were limited when compared with air quality improvements, mainly due to that the IER functions have a stable curve at higher concentration intervals. Meanwhile, premature mortality would have increased by 14.2% from 2008 to 2016 owing to demographic changes, substantially weakening the impact of the decrease in PM2.5 and baseline mortality. The effectiveness of China's new air pollution mitigation policy was proved through the research. However, considering the non-linear response of mortality to PM2.5 changes and the aggravation of demography trends, stronger emission control steps should be further taken to protect public health in China.
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Affiliation(s)
- Yong Li
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Qin Liao
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Xiuge Zhao
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Yan Tao
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China.
| | - Yun Bai
- National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, 400067, China.
| | - Lu Peng
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
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Chen Y, Sun X, Lin Y, Zhang Z, Gao Y, Wu IX. Non-Genetic Risk Factors for Parkinson's Disease: An Overview of 46 Systematic Reviews. JOURNAL OF PARKINSON'S DISEASE 2021; 11:919-935. [PMID: 33814465 PMCID: PMC8461677 DOI: 10.3233/jpd-202521] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/03/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Numerous systematic reviews (SRs) and meta-analyses on non-genetic risk factors for Parkinson's disease (PD) development have been published with inconsistent conclusions. OBJECTIVE This overview of SRs aimed to summarize evidence on non-genetic factors for the development of PD from the published SRs, and explore the reasons behind the conflicting results. METHODS Three international databases were searched for SRs with meta-analyses summarized evidence on non-genetic factors for PD development. The Assessing the Methodological Quality of Systematic Reviews 2 tool was used to appraise the methodological quality of included SRs. Pooled effect estimations were extracted from each meta-analysis. RESULTS Forty-six SRs covered six categories, and more than 80 factors were included in this overview. Thirty-nine SRs (84.7%) were judged to be of critically low methodological quality. Evidence from prospective studies showed that physical activity, smoking, coffee, caffeine, tea, fat intake, ibuprofen use, calcium channel blocker use, statin use, thiazolidinediones, and high serum urate levels significantly reduced the risk of PD, while dairy intake, diabetes, hormone replacement therapy, depression, mood disorder, bipolar disorder, and aspirin use significantly increased the risk of PD. Differences in study designs (e.g., cohort studies, case-control studies) accounted for the conflicting results among included SRs. CONCLUSION Modifiable lifestyle factors such as physical activity and tea and coffee drinking may reduce the risk of PD, which may offer PD prevention strategies and hypotheses for future research. However, the designs of primary studies on PD risk factors and related SRs need to be improved and harmonized.
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Affiliation(s)
- Yancong Chen
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Xuemei Sun
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Yali Lin
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Zixuan Zhang
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Yinyan Gao
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Irene X.Y. Wu
- Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
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Mesnil M, Defamie N, Naus C, Sarrouilhe D. Brain Disorders and Chemical Pollutants: A Gap Junction Link? Biomolecules 2020; 11:biom11010051. [PMID: 33396565 PMCID: PMC7824109 DOI: 10.3390/biom11010051] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 12/22/2020] [Accepted: 12/23/2020] [Indexed: 02/07/2023] Open
Abstract
The incidence of brain pathologies has increased during last decades. Better diagnosis (autism spectrum disorders) and longer life expectancy (Parkinson's disease, Alzheimer's disease) partly explain this increase, while emerging data suggest pollutant exposures as a possible but still underestimated cause of major brain disorders. Taking into account that the brain parenchyma is rich in gap junctions and that most pollutants inhibit their function; brain disorders might be the consequence of gap-junctional alterations due to long-term exposures to pollutants. In this article, this hypothesis is addressed through three complementary aspects: (1) the gap-junctional organization and connexin expression in brain parenchyma and their function; (2) the effect of major pollutants (pesticides, bisphenol A, phthalates, heavy metals, airborne particles, etc.) on gap-junctional and connexin functions; (3) a description of the major brain disorders categorized as neurodevelopmental (autism spectrum disorders, attention deficit hyperactivity disorders, epilepsy), neurobehavioral (migraines, major depressive disorders), neurodegenerative (Parkinson's and Alzheimer's diseases) and cancers (glioma), in which both connexin dysfunction and pollutant involvement have been described. Based on these different aspects, the possible involvement of pollutant-inhibited gap junctions in brain disorders is discussed for prenatal and postnatal exposures.
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Affiliation(s)
- Marc Mesnil
- Laboratoire STIM, ERL7003 CNRS-Université de Poitiers, 1 rue G. Bonnet–TSA 51 106, 86073 Poitiers, France; (M.M.); (N.D.)
| | - Norah Defamie
- Laboratoire STIM, ERL7003 CNRS-Université de Poitiers, 1 rue G. Bonnet–TSA 51 106, 86073 Poitiers, France; (M.M.); (N.D.)
| | - Christian Naus
- Faculty of Medicine, Department of Cellular & Physiological Sciences, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC V6T1Z3, Canada;
| | - Denis Sarrouilhe
- Laboratoire de Physiologie Humaine, Faculté de Médecine et Pharmacie, 6 rue de La Milétrie, bât D1, TSA 51115, 86073 Poitiers, France
- Correspondence: ; Tel.: +33-5-49-45-43-58
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Trushna T, Diwan V, Nandi SS, Aher SB, Tiwari RR, Sabde YD. A mixed-methods community-based participatory research to explore stakeholder's perspectives and to quantify the effect of crop residue burning on air and human health in Central India: study protocol. BMC Public Health 2020; 20:1824. [PMID: 33256650 PMCID: PMC7706198 DOI: 10.1186/s12889-020-09844-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 11/04/2020] [Indexed: 11/26/2022] Open
Abstract
Background Crop residue burning adversely affects air quality and consequently human health. India, being one of the largest agro-economies of the world, produces around 500 Million tonnes of crop residue annually most of which is burnt on-farm. However, integrated studies that simultaneously quantify the effects of crop residue burning while exploring the subjective determinants of the practice are lacking in India. This paper describes the protocol for a longitudinal mixed methods research study employing a community-based participatory approach to fill this gap. Methods Both quantitative and qualitative data will be collected in a rural setting of the central Indian province of Madhya Pradesh, over 1 year. A steering committee comprising of the research team and community representatives will be formed. The proportion of cultivable land burnt in one crop burning season will be estimated. The association between crop residue burning, level of ambient air pollutants, and pulmonary function of village residents will be determined. Focus groups, interviews, and participatory rural appraisal methods will be used to explore stakeholder perspectives about crop residue burning. Potential barriers and opportunities for substituting burning with an alternative crop residue management technique will be ascertained as the basis for future interventions. Ethics approval has been obtained from the Institutional Ethics Committee of the National Institute for Research in Environmental Health (No: NIREH/BPL/IEC/2019–20/1494, dt 06/01/2020). Discussion This manuscript describes the protocol for a novel community-based participatory study to investigate thoroughly the phenomenon of crop residue burning from the perspective of the agricultural community through their active collaboration. The lack of comprehensive evidence regarding the factors responsible for crop residue burning in India underlines the importance of implementing this study protocol to fill in this critical gap in knowledge. While acknowledging that findings of this study will be not generalizable to agricultural communities other than the one studied, it is expected that the study will generate baseline evidence that might be beneficial in developing and implementing an appropriate intervention strategy. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-020-09844-6.
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Affiliation(s)
- Tanwi Trushna
- Department of Environmental Health and Epidemiology, ICMR-National Institute for Research in Environmental Health, Bhopal, Madhya Pradesh, India
| | - Vishal Diwan
- Department of Environmental Monitoring And Exposure Assessment (Water and Soil), ICMR-National Institute for Research in Environmental Health, Bhopal, Madhya Pradesh, India. .,Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
| | - Subroto Shambhu Nandi
- Department of Environmental Monitoring And Exposure Assessment (Air), ICMR-National Institute for Research in Environmental Health, Bhopal, Madhya Pradesh, India
| | - Satish Bhagwatrao Aher
- Department of Environmental Monitoring And Exposure Assessment (Air), ICMR-National Institute for Research in Environmental Health, Bhopal, Madhya Pradesh, India
| | - Rajnarayan R Tiwari
- ICMR-National Institute for Research in Environmental Health, Bhopal, Madhya Pradesh, India
| | - Yogesh Damodar Sabde
- Department of Environmental Health and Epidemiology, ICMR-National Institute for Research in Environmental Health, Bhopal, Madhya Pradesh, India
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Daiber A, Kuntic M, Hahad O, Delogu LG, Rohrbach S, Di Lisa F, Schulz R, Münzel T. Effects of air pollution particles (ultrafine and fine particulate matter) on mitochondrial function and oxidative stress - Implications for cardiovascular and neurodegenerative diseases. Arch Biochem Biophys 2020; 696:108662. [PMID: 33159890 DOI: 10.1016/j.abb.2020.108662] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 02/06/2023]
Abstract
Environmental pollution is a major cause of global mortality and burden of disease. All chemical pollution forms together may be responsible for up to 12 million annual excess deaths as estimated by the Lancet Commission on pollution and health as well as the World Health Organization. Ambient air pollution by particulate matter (PM) and ozone was found to be associated with an all-cause mortality rate of up to 9 million in the year 2015, with the majority being of cerebro- and cardiovascular nature (e.g. stroke and ischemic heart disease). Recent evidence suggests that exposure to airborne particles and gases contributes to and accelerates neurodegenerative diseases. Especially, airborne toxic particles contribute to these adverse health effects. Whereas it is well established that air pollution in the form of PM may lead to dysregulation of neurohormonal stress pathways and may trigger inflammation as well as oxidative stress, leading to secondary damage of cardiovascular structures, the mechanistic impact of PM-induced mitochondrial damage and dysfunction is not well established. With the present review we will discuss similarities between mitochondrial damage and dysfunction observed in the development and progression of cardiovascular disease and neurodegeneration as well as those adverse mitochondrial pathomechanisms induced by airborne PM.
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Affiliation(s)
- Andreas Daiber
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany.
| | - Marin Kuntic
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Germany
| | - Omar Hahad
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Lucia G Delogu
- Department of Biomedical Sciences, University of Padova, 35131, Padova, Italy
| | - Susanne Rohrbach
- Institute of Physiology, Justus-Liebig University, Giessen, Germany
| | - Fabio Di Lisa
- Department of Biomedical Sciences, University of Padova, 35131, Padova, Italy
| | - Rainer Schulz
- Institute of Physiology, Justus-Liebig University, Giessen, Germany
| | - Thomas Münzel
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany.
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Air Pollution-Related Brain Metal Dyshomeostasis as a Potential Risk Factor for Neurodevelopmental Disorders and Neurodegenerative Diseases. ATMOSPHERE 2020. [DOI: 10.3390/atmos11101098] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Increasing evidence links air pollution (AP) exposure to effects on the central nervous system structure and function. Particulate matter AP, especially the ultrafine (nanoparticle) components, can carry numerous metal and trace element contaminants that can reach the brain in utero and after birth. Excess brain exposure to either essential or non-essential elements can result in brain dyshomeostasis, which has been implicated in both neurodevelopmental disorders (NDDs; autism spectrum disorder, schizophrenia, and attention deficit hyperactivity disorder) and neurodegenerative diseases (NDGDs; Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, and amyotrophic lateral sclerosis). This review summarizes the current understanding of the extent to which the inhalational or intranasal instillation of metals reproduces in vivo the shared features of NDDs and NDGDs, including enlarged lateral ventricles, alterations in myelination, glutamatergic dysfunction, neuronal cell death, inflammation, microglial activation, oxidative stress, mitochondrial dysfunction, altered social behaviors, cognitive dysfunction, and impulsivity. Although evidence is limited to date, neuronal cell death, oxidative stress, and mitochondrial dysfunction are reproduced by numerous metals. Understanding the specific contribution of metals/trace elements to this neurotoxicity can guide the development of more realistic animal exposure models of human AP exposure and consequently lead to a more meaningful approach to mechanistic studies, potential intervention strategies, and regulatory requirements.
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van Wijngaarden E, Rich DQ, Zhang W, Thurston SW, Lin S, Croft DP, Squizzato S, Masiol M, Hopke PK. Neurodegenerative hospital admissions and long-term exposure to ambient fine particle air pollution. Ann Epidemiol 2020; 54:79-86.e4. [PMID: 33010415 DOI: 10.1016/j.annepidem.2020.09.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 09/15/2020] [Accepted: 09/21/2020] [Indexed: 12/25/2022]
Abstract
PURPOSE Long-term exposure to ambient fine particle (PM2.5) concentrations has been associated with an increased rate or risk of neurodegenerative conditions, but individual PM sources have not been previously examined in relation to neurodegenerative diseases. METHODS Using the Statewide Planning and Research Cooperative System database, we studied 63,287 hospital admissions with a primary diagnosis of either Alzheimer's disease, dementia, or Parkinson's disease for New York State residents living within 15 miles from six PM2.5 monitoring sites. In addition to PM2.5 concentrations, we studied seven specific PM2.5 sources: secondary sulfate, secondary nitrate, biomass burning, diesel, spark-ignition emissions, pyrolyzed organic rich, and road dust. We estimated the rate of neurodegenerative hospital admissions associated with increased concentration of PM2.5 and individual PM2.5 sources average concentrations in the previous 0-29, 0-179, and 0-364 days. RESULTS Increases in ambient PM2.5 concentrations were not consistently associated with increased hospital admissions rates. Increased source-specific PM2.5 concentrations were associated with both increased (e.g., secondary sulfates and diesel emissions) and decreased rates (e.g., secondary nitrate and spark-ignition vehicular emissions) of neurodegenerative admissions. CONCLUSIONS We did not observe clear associations between overall ambient PM2.5 concentrations or source-apportioned ambient PM2.5 contributions and rates of neurologic disease hospitalizations.
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Affiliation(s)
- Edwin van Wijngaarden
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY; Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY.
| | - David Q Rich
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY; Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY; Department of Medicine, University of Rochester Medical Center, Rochester, NY
| | - Wangjian Zhang
- Department of Environmental Health Sciences, School of Public Health, State University of New York at Albany, Albany
| | - Sally W Thurston
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY
| | - Shao Lin
- Department of Environmental Health Sciences, School of Public Health, State University of New York at Albany, Albany
| | - Daniel P Croft
- Department of Medicine, University of Rochester Medical Center, Rochester, NY
| | - Stefania Squizzato
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY
| | - Mauro Masiol
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY; Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca' Foscari Venezia, Venice, Italy
| | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY; Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY
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Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study. PLoS Med 2020; 17:e1003188. [PMID: 32760064 PMCID: PMC7410211 DOI: 10.1371/journal.pmed.1003188] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 07/08/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The impacts of air pollution on circulatory and respiratory systems have been extensively studied. However, the associations between air pollution exposure and the risk of noncommunicable diseases of other organ systems, including diseases of the digestive, musculoskeletal, and genitourinary systems, remain unclear or inconclusive. We aimed to systematically assess the associations between short-term exposure to main air pollutants (fine particulate matter [PM2.5] and ozone) and cause-specific risk of hospital admission in China over a wide spectrum of human diseases. METHODS AND FINDINGS Daily data on hospital admissions for primary diagnosis of 14 major and 188 minor disease categories in 252 Chinese cities (107 cities in North China and 145 cities in South China) from January 1, 2013, to December 31, 2017, were obtained from the Hospital Quality Monitoring System of China (covering 387 hospitals in North China and 614 hospitals in South China). We applied a 2-stage analytic approach to assess the associations between air pollution and daily hospital admissions. City-specific associations were estimated with quasi-Poisson regression models and then pooled by random-effects meta-analyses. Each disease category was analyzed separately, and the P values were adjusted for multiple comparisons. A total of 117,338,867 hospital admissions were recorded in the study period. Overall, 51.7% of the hospitalized cases were male, and 71.3% were aged <65 years. Robust positive associations were found between short-term PM2.5 exposure and hospital admissions for 7 major disease categories: (1) endocrine, nutritional, and metabolic diseases; (2) nervous diseases; (3) circulatory diseases; (4) respiratory diseases; (5) digestive diseases; (6) musculoskeletal and connective tissue diseases; and (7) genitourinary diseases. For example, a 10-μg/m3 increase in PM2.5 was associated with a 0.21% (95% CI 0.15% to 0.27%; adjusted P < 0.001) increase in hospital admissions for diseases of the digestive system on the same day in 2-pollutant models (adjusting for ozone). There were 35 minor disease categories significantly positively associated with same-day PM2.5 in both single- and 2-pollutant models, including diabetes mellitus, anemia, intestinal infection, liver diseases, gastrointestinal hemorrhage, renal failure, urinary tract calculus, chronic ulcer of skin, and back problems. The association between short-term ozone exposure and respiratory diseases was robust. No safety threshold in the exposure-response relationships between PM2.5 and hospital admissions was observed. The main limitations of the present study included the unavailability of data on personal air pollution exposures. CONCLUSIONS In the Chinese population during 2013-2017, short-term exposure to air pollution, especially PM2.5, was associated with increased risk of hospitalization for diseases of multiple organ systems, including certain diseases of the digestive, musculoskeletal, and genitourinary systems; many of these associations are important but still not fully recognized. The effect estimates and exposure-response relationships can inform policy making aimed at protecting public health from air pollution in China.
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Manigrasso M, Costabile F, Liberto LD, Gobbi GP, Gualtieri M, Zanini G, Avino P. Size resolved aerosol respiratory doses in a Mediterranean urban area: From PM 10 to ultrafine particles. ENVIRONMENT INTERNATIONAL 2020; 141:105714. [PMID: 32416371 DOI: 10.1016/j.envint.2020.105714] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 02/25/2020] [Accepted: 04/01/2020] [Indexed: 06/11/2023]
Abstract
In the framework of the 2017 "carbonaceous aerosol in Rome and Environs" (CARE) experiment, particle number size distributions have been continuously measured on February 2017 in downtown Rome. These data have been used to estimate, through MPPD model, size and time resolved particle mass, surface area and number doses deposited into the respiratory system. Dosimetry estimates are presented for PM10, PM2.5, PM1 and Ultrafine Particles (UFPs), in relation to the aerosol sources peculiar to the Mediterranean basin and to the atmospheric conditions. Particular emphasis is focused on UFPs and their fraction deposited on the olfactory bulb, in view of their possible translocation to the brain. The site of PM10 deposition within the respiratory system considerably changes, depending on the aerosol sources and then on its different size distributions. On making associations between health endpoints and aerosol mass concentrations, the relevant coarse and fine fractions would be more properly adopted, because they have different sources, different capability of penetrating deep into the respiratory system and different toxicological implications. The separation between them should be set at 1 µm, rather than at 2.5 µm, because the fine fraction is considerably less affected by the contribution of the natural sources. Mass dose is a suitable metric to describe coarse aerosol events but gives a poor representation of combustion aerosol. This fraction of particles, made of UFPs and of accumulation mode particles (mainly with size below 0.2 µm), is of high health relevance. It elicited the highest oxidative activity in the CARE experiment and is properly described by the particle surface area and by the number metrics. Such metrics are even more relevant for the UFP doses deposited on the olfactory bulb, in consideration of the role recognized to oxidative stress in the progression of neurodegenerative diseases. Such metrics would be more appropriate, rather than PMx mass concentrations, to correlate neurodegenerative pathologies with aerosol pollution.
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Affiliation(s)
- Maurizio Manigrasso
- Department of Technological Innovations, INAIL, Via IV Novembre 144, I-00187 Rome, Italy.
| | - Francesca Costabile
- CNR-ISAC - Italian National Research Council, Institute of Atmospheric Science and Climate, via Fosso del Cavaliere 100, I-00133 Rome, Italy
| | - Luca Di Liberto
- CNR-ISAC - Italian National Research Council, Institute of Atmospheric Science and Climate, via Fosso del Cavaliere 100, I-00133 Rome, Italy
| | - Gian Paolo Gobbi
- CNR-ISAC - Italian National Research Council, Institute of Atmospheric Science and Climate, via Fosso del Cavaliere 100, I-00133 Rome, Italy
| | | | - Gabriele Zanini
- ENEA SSPT-MET-INAT, Via Martiri di Monte Sole 4, I-40129 Bologna, Italy
| | - Pasquale Avino
- Department of Agricultural, Environmental and Food Sciences (DiAAA), University of Molise, via F. De Sanctis, I-86100, Campobasso, Italy
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da Silva I, de Almeida DS, Hashimoto EM, Martins LD. Risk assessment of temperature and air pollutants on hospitalizations for mental and behavioral disorders in Curitiba, Brazil. Environ Health 2020; 19:79. [PMID: 32631375 PMCID: PMC7336420 DOI: 10.1186/s12940-020-00606-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 05/11/2020] [Indexed: 05/29/2023]
Abstract
BACKGROUND Extreme ambient temperatures and air quality have been directly associated with various human diseases from several studies around the world. However, few analyses involving the association of these environmental circumstances with mental and behavioral disorders (MBD) have been carried out, especially in developing countries such as Brazil. METHODS A time series study was carried out to explore the associations between daily air pollutants (SO2, NO2, O3, and PM10) concentrations and meteorological variables (temperature and relative humidity) on hospital admissions for mental and behavioral disorders for Curitiba, Brazil. Daily hospital admissions from 2010 to 2016 were analyzed by a semi-parametric generalized additive model (GAM) combined with a distributed lag non-linear model (DLNM). RESULTS Significant associations between environmental conditions (10 μg/m3 increase in air pollutants and temperature °C) and hospitalizations by MBD were found. Air temperature was the environmental variable with the highest relative risk (RR) at 0-day lag for all ages and sexes analyzed, with RR values of 1.0182 (95% CI: 1.0009-1.0357) for men, and 1.0407 (95% CI: 1.0230-1.0587) for women. Ozone exposure was a risk for all women groups, being higher for the young group, with a RR of 1.0319 (95% CI: 1.0165-1.0483). Elderly from both sexes were more susceptible to temperature variability, with a RR of 1.0651 (95% CI: 1.0213-1.1117) for women, and 1.0215 (95% CI: 1.0195-1.0716) for men. CONCLUSIONS This study suggests that temperatures above and below the thermal comfort threshold, in addition to high concentrations of air pollutants, present significant risks on hospitalizations by MBD; besides, there are physiological and age differences resulting from the effect of this exposure.
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Affiliation(s)
- Iara da Silva
- Federal University of Technology - Paraná, Av. dos Pioneiros, 3131, Londrina, PR, 86036-370, Brazil.
| | - Daniela Sanches de Almeida
- Federal University of Technology - Paraná, Av. dos Pioneiros, 3131, Londrina, PR, 86036-370, Brazil
- State University of Maringa, Av. Colombo, 5790 - Vila Esperança, Maringá, PR, 87020-900, Brazil
| | - Elizabeth Mie Hashimoto
- Federal University of Technology - Paraná, Av. dos Pioneiros, 3131, Londrina, PR, 86036-370, Brazil
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