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Grotewold N, Albin RL. Update: Protective and risk factors for Parkinson disease. Parkinsonism Relat Disord 2024; 125:107026. [PMID: 38879999 DOI: 10.1016/j.parkreldis.2024.107026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 06/02/2024] [Accepted: 06/04/2024] [Indexed: 06/18/2024]
Abstract
We review the epidemiologic literature on potential protective and risk factors in Parkinson's Disease (PD). Prior research identified numerous possible protective and risk factors. Potential protective factors include tobacco abuse, physical activity, urate levels, NSAID use, calcium channel blocker use, statin use, and use of some α1-adrenergic antagonists. Some potential protective factors could be products of reverse causation, including increased serum urate, tobacco abuse, and coffee-tea-caffeine consumption. Potential risk factors include traumatic brain injury, pesticide exposure, organic solvent exposure, lead exposure, air pollution, Type 2 Diabetes, some dairy products, cardiovascular disease, and some infections including Hepatitis C, H. pylori, and COVID-19. Potential non-environmental risk factors include bipolar disorder, essential tremor, bullous pemphigoid, and inflammatory bowel disease. There is an inverse relationship with PD and risk of most cancers. Though many potential protective and risk factors for PD were identified, research has not yet led to unique, rigorous prevention trials or successful disease-modifying interventions. While efforts to reduce exposure to some industrial toxicants are well justified, PD incidence might be most effectively reduced by mitigation of risks, such as Type 2 Diabetes, air pollution, traumatic brain injury, or physical inactivity, that are general public health intervention targets.
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Affiliation(s)
- Nikolas Grotewold
- Dept. of Neurology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Roger L Albin
- Dept. of Neurology, University of Michigan, Ann Arbor, MI, 48109, USA; GRECC & Neurology Service, VAAAHS, Ann Arbor, MI, 48105, USA; University of Michigan Morris K. Udall Center of Excellence for Parkinson's Disease Research, Ann Arbor, MI, 48109, USA; University of Michigan Parkinson's Foundation Research Center of Excellence, USA.
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Ai B, Zhang J, Zhang S, Chen G, Tian F, Chen L, Li H, Guo Y, Jerath A, Lin H, Zhang Z. Causal association between long-term exposure to air pollution and incident Parkinson's disease. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133944. [PMID: 38457975 DOI: 10.1016/j.jhazmat.2024.133944] [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: 11/02/2023] [Revised: 02/23/2024] [Accepted: 02/29/2024] [Indexed: 03/10/2024]
Abstract
Epidemiological evidence for long-term air pollution exposure and Parkinson's disease (PD) is controversial, and analysis of causality is limited. We identified 293,888 participants who were free of PD at baseline in the UK Biobank (2006-2010). Time-varying air pollution [fine particulate (PM2.5) and ozone (O3)] exposures were estimated using spatio-temporal models. Incident cases of PD were identified using validated algorithms. Four methods were used to investigate the associations between air pollution and PD, including (1) standard time-varying Cox proportional-hazard model; (2) Cox models weighted by generalized propensity score (GPS) and inverse-probability weights (IPW); (3) instrumental variable (IV) analysis; and (4) negative control outcome analysis. During a median of 11.6 years of follow-up, 1822 incident PD cases were identified. Based on standard Cox regression, the hazard ratios (95% confidence interval) for a 1 µg/m3 or ppb increase in PM2.5 and O3 were 1.23 (1.17, 1.30) and 1.02 (0.98, 1.05), respectively. Consistent results were found in models weighted by GPS and IPW, and in IV analysis. There were no significant associations between air pollution and negative control outcomes. This study provides evidence to support a causal association between PM2.5 exposure and PD. Mitigation of air pollution could be a protective measure against PD.
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Affiliation(s)
- Baozhuo Ai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiayue Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ge Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Haitao Li
- Shenzhen University General Hospital, Shenzhen, China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Angela Jerath
- Schulich Heart Program, Sunnybrook Research Institute, Toronto, ON, Canada; ICES, Toronto, ON, Canada; Department of Anesthesiology and Pain Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Shen YX, Lee PS, Teng MC, Huang JH, Wang CC, Fan HF. Influence of Cigarette Aerosol in Alpha-Synuclein Oligomerization and Cell Viability in SH-SY5Y: Implications for Parkinson's Disease. ACS Chem Neurosci 2024; 15:1484-1500. [PMID: 38483468 PMCID: PMC10995954 DOI: 10.1021/acschemneuro.3c00771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Although cigarette aerosol exposure is associated with various adverse health issues, its impact on Parkinson's disease (PD) remains elusive. Here, we investigated the effect of cigarette aerosol extract (CAE) on SH-SY5Y cells for the first time, both with and without α-synuclein (α-Syn) overexpression. We found that α-Syn aggravates CAE-induced cell death, oxidative stress, and mitochondrial dysfunction. Fluorescence cross-correlation spectroscopy (FCCS) revealed a dual distribution of α-Syn within the cells, with homogeneous regions indicative of monomeric α-Syn and punctated regions, suggesting the formation of oligomers. Moreover, we observed colocalization of α-Syn oligomers with lysosomes along with a reduction in autophagy activity. These findings suggest that α-Syn overexpression exacerbates CAE-induced intracellular cytotoxicity, mitochondrial dysfunction, and autophagy dysregulation, leading to elevated cell mortality. Our findings provide new insights into the pathogenic mechanisms linking exposure to cigarette aerosols with neurodegenerative diseases.
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Affiliation(s)
- Yu-Xin Shen
- Institute
of Medical Science and Technology, National
Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Pe-Shuen Lee
- Institute
of Medical Science and Technology, National
Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Ming-Chu Teng
- Institute
of Medical Science and Technology, National
Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Jhih-Hong Huang
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Chia C. Wang
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Hsiu-Fang Fan
- Institute
of Medical Science and Technology, National
Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
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Sakowski SA, Koubek EJ, Chen KS, Goutman SA, Feldman EL. Role of the Exposome in Neurodegenerative Disease: Recent Insights and Future Directions. Ann Neurol 2024; 95:635-652. [PMID: 38411261 PMCID: PMC11023772 DOI: 10.1002/ana.26897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 02/28/2024]
Abstract
Neurodegenerative diseases are increasing in prevalence and place a significant burden on society. The causes are multifactorial and complex, and increasing evidence suggests a dynamic interplay between genes and the environment, emphasizing the importance of identifying and understanding the role of lifelong exposures, known as the exposome, on the nervous system. This review provides an overview of recent advances toward defining neurodegenerative disease exposomes, focusing on Parkinson's disease, amyotrophic lateral sclerosis, and Alzheimer's disease. We present the current state of the field based on emerging data, elaborate on key themes and potential mechanisms, and conclude with limitations and future directions. ANN NEUROL 2024;95:635-652.
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Affiliation(s)
- Stacey A. Sakowski
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Emily J. Koubek
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kevin S. Chen
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Stephen A. Goutman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Eva L. Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
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Nicole W. Trafficking in Disease: More Evidence for Air Pollution-Parkinson's Association. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:34001. [PMID: 38446581 PMCID: PMC10917083 DOI: 10.1289/ehp14469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 01/23/2024] [Indexed: 03/08/2024]
Abstract
Research using Sister Study data has implicated nitrogen dioxide (vehicle exhaust is a major source), and possibly fine particulate matter, in increased risk for Parkinson's disease.
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Huang YM, Ma YH, Gao PY, Cui XH, Hou JH, Chi HC, Fu Y, Wang ZB, Feng JF, Cheng W, Tan L, Yu JT. Genetic susceptibility modifies the association of long-term air pollution exposure on Parkinson's disease. NPJ Parkinsons Dis 2024; 10:23. [PMID: 38233432 PMCID: PMC10794179 DOI: 10.1038/s41531-024-00633-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/03/2024] [Indexed: 01/19/2024] Open
Abstract
Inconsistent findings exist regarding the potential association between polluted air and Parkinson's disease (PD), with unclear insights into the role of inherited sensitivity. This study sought to explore the potential link between various air pollutants and PD risk, investigating whether genetic susceptibility modulates these associations. The population-based study involved 312,009 initially PD-free participants with complete genotyping data. Annual mean concentrations of PM2.5, PM10, NO2, and NOx were estimated, and a polygenic risk score (PRS) was computed to assess individual genetic risks for PD. Cox proportional risk models were employed to calculate hazard ratios (HR) and 95% confidence intervals (CI) for the associations between ambient air pollutants, genetic risk, and incident PD. Over a median 12.07-year follow-up, 2356 PD cases (0.76%) were observed. Compared to the lowest quartile of air pollution, the highest quartiles of NO2 and PM10 pollution showed HRs and 95% CIs of 1.247 (1.089-1.427) and 1.201 (1.052-1.373) for PD incidence, respectively. Each 10 μg/m3 increase in NO2 and PM10 yielded elevated HRs and 95% CIs for PD of 1.089 (1.026-1.155) and 1.363 (1.043-1.782), respectively. Individuals with significant genetic and PM10 exposure risks had the highest PD development risk (HR: 2.748, 95% CI: 2.145-3.520). Similarly, those with substantial genetic and NO2 exposure risks were over twice as likely to develop PD compared to minimal-risk counterparts (HR: 2.414, 95% CI: 1.912-3.048). Findings suggest that exposure to air contaminants heightens PD risk, particularly in individuals genetically predisposed to high susceptibility.
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Affiliation(s)
- Yi-Ming Huang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Hui Ma
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Pei-Yang Gao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xi-Han Cui
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Jia-Hui Hou
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, China
| | - Hao-Chen Chi
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zhi-Bo Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200040, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, 321004, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200032, China
- Zhangjiang Fudan International Innovation Center, Shanghai, 200433, China
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200040, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, 321004, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
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Kwon D, Paul KC, Yu Y, Zhang K, Folle AD, Wu J, Bronstein JM, Ritz B. Traffic-related air pollution and Parkinson's disease in central California. ENVIRONMENTAL RESEARCH 2024; 240:117434. [PMID: 37858688 PMCID: PMC11232690 DOI: 10.1016/j.envres.2023.117434] [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: 08/29/2023] [Revised: 10/09/2023] [Accepted: 10/16/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND Prior studies suggested that air pollution exposure may increase the risk of Parkinson's Disease (PD). We investigated the long-term impacts of traffic-related and multiple sources of particulate air pollution on PD in central California. METHODS Our case-control analysis included 761 PD patients and 910 population controls. We assessed exposure at residential and occupational locations from 1981 to 2016, estimating annual average carbon monoxide (CO) concentrations - a traffic pollution marker - based on the California Line Source Dispersion Model, version 4. Additionally, particulate matter (PM2.5) concentrations were based on a nationwide geospatial chemical transport model. Exposures were assessed as 10-year averages with a 5-year lag time prior to a PD diagnosis for cases and an interview date for controls, subsequently categorized into tertiles. Logistic regression models were used, adjusting for various factors. RESULTS Traffic-related CO was associated with an increased odds ratio for PD at residences (OR for T3 vs. T1: 1.58; 95% CI: 1.20, 2.10; p-trend = 0.02) and workplaces (OR for T3 vs. T1: 1.91; 95% CI: 1.22, 3.00; p-trend <0.01). PM2.5 was also positively associated with PD at residences (OR for T3 vs. T1: 1.62; 95% CI: 1.22, 2.15; p-trend <0.01) and workplaces (OR for T3 vs. T1: 1.85; 95% CI: 1.21, 2.85; p-trend <0.01). Associations remained robust after additional adjustments for smoking status and pesticide exposure and were consistent across different exposure periods. CONCLUSION We found that long-term modeled exposure to local traffic-related air pollution (CO) and fine particulates from multiple sources (PM2.5) at homes and workplaces in central California was associated with an increased risk of PD.
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Affiliation(s)
- Dayoon Kwon
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States
| | - Kimberly C Paul
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, United States
| | - Yu Yu
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States; UCLA Center for Health Policy Research, University of California, Los Angeles, United States
| | - Keren Zhang
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States
| | - Aline D Folle
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, United States
| | - Jeff M Bronstein
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, United States
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States; Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, United States.
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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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Krzyzanowski B, Searles Nielsen S, Turner JR, Racette BA. Fine Particulate Matter and Parkinson Disease Risk Among Medicare Beneficiaries. Neurology 2023; 101:e2058-e2067. [PMID: 37903644 PMCID: PMC10663024 DOI: 10.1212/wnl.0000000000207871] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 08/03/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Numerous studies suggest that environmental exposures play a critical role in Parkinson disease (PD) pathogenesis, and large, population-based studies have the potential to advance substantially the identification of novel PD risk factors. We sought to study the nationwide geographic relationship between PD and air pollution, specifically PM2.5 (particulate matter with a diameter <2.5 micrometers), using population-based US Medicare data. METHODS We conducted a population-based geographic study of Medicare beneficiaries aged 66-90 years geocoded to US counties and zip+4. We used integrated nested Laplace approximation to create age, sex, race, smoking, and health care utilization-adjusted relative risk (RR) at the county level for geographic analyses with PM2.5 as the primary exposure of interest. We also performed an individual-level analysis using logistic regression with cases and controls with zip+4 centroid PM2.5. We adjusted a priori for the same covariates and verified no confounding by indicators of socioeconomic status or neurologist density. RESULTS Among 21,639,190 Medicare beneficiaries, 89,390 had incident PD in 2009. There was a nationwide association between average annual PM2.5 and PD risk whereby the RR of PD was 56% (95% CI 47%-66%) greater for those exposed to the median level of PM2.5 compared with those with the lowest level of PM2.5. This association was linear up to 13 μg/m3 corresponding to a 4.2% (95% CI 3.7%-4.8%) greater risk of PD for each additional μg/m3 of PM2.5 (p trend < 0.0001). We identified a region with high PD risk in the Mississippi-Ohio River Valley, where the risk of PD was 19% greater compared with the rest of the nation. The strongest association between PM2.5 and PD was found in a region with low PD risk in the Rocky Mountains. PM2.5 was also associated with PD in the Mississippi-Ohio River Valley where the association was relatively weaker, due to a possible ceiling effect at average annual PM2.5 levels of ∼13 μg/m3. DISCUSSION State-of-the-art geographic analytic techniques revealed an association between PM2.5 and PD that varied in strength by region. A deeper investigation into the specific subfractions of PM2.5 may provide additional insight into regional variability in the PM2.5-PD association.
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Affiliation(s)
- Brittany Krzyzanowski
- From the Barrow Neurological Institute (B.K., B.A.R.), Phoenix, AZ; Washington University in St. Louis (S.S.N., J.R.T.) MO.
| | - Susan Searles Nielsen
- From the Barrow Neurological Institute (B.K., B.A.R.), Phoenix, AZ; Washington University in St. Louis (S.S.N., J.R.T.) MO
| | - Jay R Turner
- From the Barrow Neurological Institute (B.K., B.A.R.), Phoenix, AZ; Washington University in St. Louis (S.S.N., J.R.T.) MO
| | - Brad A Racette
- From the Barrow Neurological Institute (B.K., B.A.R.), Phoenix, AZ; Washington University in St. Louis (S.S.N., J.R.T.) MO
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10
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Lee J, Weerasinghe-Mudiyanselage PDE, Kim B, Kang S, Kim JS, Moon C. Particulate matter exposure and neurodegenerative diseases: A comprehensive update on toxicity and mechanisms. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 266:115565. [PMID: 37832485 DOI: 10.1016/j.ecoenv.2023.115565] [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: 08/11/2023] [Revised: 09/30/2023] [Accepted: 10/08/2023] [Indexed: 10/15/2023]
Abstract
Exposure to particulate matter (PM) has been associated with a range of health impacts, including neurological abnormalities that affect neurodevelopment, neuroplasticity, and behavior. Recently, there has been growing interest in investigating the possible relationship between PM exposure and the onset and progression of neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, and multiple sclerosis. However, the precise mechanism by which PM affects neurodegeneration is still unclear, even though several epidemiological and animal model studies have provided mechanistic insights. This article presents a review of the current research on the neurotoxicity of PM and its impact on neurodegenerative diseases. This review summarizes findings from epidemiological and animal model studies collected through searches in Google Scholar, PubMed, Web of Science, and Scopus. This review paper also discusses the reported effects of PM exposure on the central nervous system and highlights research gaps and future directions. The information presented in this review may inform public health policies aimed at reducing PM exposure and may contribute to the development of new treatments for neurodegenerative diseases. Further mechanistic and therapeutic research will be needed to fully understand the relationship between PM exposure and neurodegenerative diseases.
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Affiliation(s)
- Jeongmin Lee
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Poornima D E Weerasinghe-Mudiyanselage
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Bohye Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Sohi Kang
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Joong-Sun Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Changjong Moon
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea.
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11
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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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12
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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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13
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Rumrich IK, Lin J, Korhonen A, Frohn LM, Geels C, Brandt J, Hartikainen S, Hänninen O, Tolppanen AM. Long-term exposure to low-level particulate air pollution and Parkinson's disease diagnosis - A Finnish register-based study. ENVIRONMENTAL RESEARCH 2023; 229:115944. [PMID: 37086879 DOI: 10.1016/j.envres.2023.115944] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/19/2023] [Accepted: 04/17/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND There is mixed evidence for an association between particulate matter air pollution and Parkinson's disease despite biological plausibility. OBJECTIVES We studied the association between particulate air pollution, its components and Parkinson's disease (PD) risk. METHODS We conducted a nested case-control study within the population of Finland using national registers. A total of 22,189 incident PD cases diagnosed between 1996 and 2015 were matched by age, sex and region with up to seven controls (n = 148,009) per case. Time weighted average air pollution exposure to particulate matter and its components was modelled at the residential addresses, accounting for move history, for the 16 years preceding diagnosis. Conditional logistic regression analysis was used to evaluate the association between air pollution and PD. Different exposure periods (6-16 years, 11-16 years, 5-10 years, 0-5 years) before the index date (date of PD diagnosis) were applied. RESULTS Time-weighted average exposures were relatively low at 12.1 ± 6.5 μg/m3 (mean ± SD) for PM10 and 7.7 ± 3.2 μg/m3 for PM2.5. No associations were found between PM2.5 or PM10 exposure 6-16 years before index date and PD (OR: 0.99; 95% CI: 0.96, 1.02; per IQR of 3.9 μg/m3 and OR: 0.99; 95% CI: 0.96, 1.01; per IQR of 7.8 μg/m3, respectively). However, inverse associations were observed for the same exposure period with black carbon (OR: 0.96; 95% CI: 0.93, 0.99; per IQR of 0.6 μg/m3), sulphate (OR: 0.79; 95% CI: 0.68, 0.92; per IQR of 1.2 μg/m3), secondary organic aerosols (OR: 0.86; 95% CI: 0.80, 0.93; per IQR of 0.1 μg/m3) and sea salt (OR: 0.92; 95% CI: 0.87, 0.98; per IQR of 0.1 μg/m3). DISCUSSION Low-level particulate matter air pollution was not associated with increased risk of incident PD in this Finnish nationwide population. The observed weak inverse associations with specific particle components should be investigated further.
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Affiliation(s)
- Isabell Katharina Rumrich
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland; Department of Health Security, Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland.
| | - Julian Lin
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
| | - Antti Korhonen
- Department of Health Security, Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland.
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Sirpa Hartikainen
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
| | - Otto Hänninen
- Department of Health Security, Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland.
| | - Anna-Maija Tolppanen
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
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Zhu Z, Yang Z, Yu L, Xu L, Wu Y, Zhang X, Shen P, Lin H, Shui L, Tang M, Jin M, Wang J, Chen K. Residential greenness, air pollution and incident neurodegenerative disease: A cohort study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:163173. [PMID: 37003317 DOI: 10.1016/j.scitotenv.2023.163173] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/18/2023] [Accepted: 03/26/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Neurodegenerative disease has a great adverse impact on population's death and disability worldwide. However, the association of air pollution and residential greenness with neurodegenerative disease and their potential mechanisms still remain uncertain. METHODS We used data from a population-based prospective cohort in Ningbo, China. Exposure to PM2.5, PM10 and NO2 were assessed by land-use regression (LUR) models and residential greenness was estimated by Normalized Difference Vegetation Index (NDVI). Our primary outcomes were all neurodegenerative diseases, Parkinson's disease (PD) and Alzheimer's disease (AD). Cox proportional hazards regression models were used to examine the association of air pollution and residential greenness with risk of incident neurodegenerative disease. Furthermore, we also explored the potential mediation relationship and effect modification between greenness and air pollutants. RESULTS During the follow-up period, we identified a total of 617 incident neurodegenerative diseases, 301 PD and 182 AD. In single-exposure models, PM2.5 was positively associated with all outcomes (e.g. AD hazard ratio (HR): 1.41, 95 % confidence interval (CI): 1.09-1.84, per interquartile range (IQR) increment), whereas residential greenness showed protective effects (e.g. neurodegenerative disease, HR: 0.82, 95%CI: 0.75-0.90, per IQR increment for NDVI in 1000 m buffer). NO2 was positively associated with risk of neurodegenerative disease and PM10 was associated with neurodegenerative disease and AD. In two-exposure models, after adjustment for PM2.5, the association for greenness generally attenuated towards null. Moreover, we identified the significant modification effect of greenness on PM2.5 on additive and multiplicative scales. CONCLUSION In this prospective study, we found that exposure to higher residential greenness and lower concentrations of particulate matter were associated with lower risk of neurodegenerative disease, PD and AD. Residential greenness could modify the association of PM2.5 with neurodegenerative disease.
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Affiliation(s)
- Zhanghang Zhu
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Lisha Xu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Yonghao Wu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Xinhan Zhang
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Hongbo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, Ningbo, 315040, China
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China.
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
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15
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Limke A, Scharpf I, Blesing F, von Mikecz A. Tire components, age and temperature accelerate neurodegeneration in C. elegans models of Alzheimer's and Parkinson's disease. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 328:121660. [PMID: 37080524 DOI: 10.1016/j.envpol.2023.121660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 04/12/2023] [Accepted: 04/16/2023] [Indexed: 05/03/2023]
Abstract
Increasingly, traffic-related air pollution is linked with Alzheimer's disease, Parkinson's disease and other neurodegenerative conditions. The molecular pathways underlying the epidemiologic observations are unknown. In this study, models of neurodegenerative disorders in the nematode Caenorhabditis elegans were used to investigate effects of the tire wear component nano silica. Life span-resolved exposition of reporter strain GRU102 that expresses the Alzheimer's peptide amyloid beta1-42 with silica nanoparticles significantly reduced locomotory fitness in middle-aged nematodes. A specific vulnerability of 10-day-old nematodes was identified in GRU102 cultivated at ambient temperatures of 15 and 20 °C. Reduction of locomotory fitness was corroborated in the Parkinson's disease model BZ555. Nano silica from different sources, including genuine tire components, accelerated the neurodegeneration of dopaminergic neurons in BZ555 nematodes. Dendritic beading was observed in single PDE neurons along the lateral side of the posterior body. In both, the Alzheimer's disease model GRU102 and the Parkinson's disease model BZ555 increased age and the non-chemical exposome factor temperature aggravated nano silica-induced neurodegeneration. Middle-aged cohorts were defined as the most vulnerable age-group. The results suggest C. elegans disease models as a platform to elucidate the relationships between neurodegeneration, age and the environmental factor ambient temperature after exposition with defined components of non-exhaust emissions or sampled urban aerosols.
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Affiliation(s)
- Annette Limke
- IUF - Leibniz Research Institute of Environmental Medicine GmbH, Auf'm Hennekamp 50, 40225, Duesseldorf, Germany
| | - Inge Scharpf
- IUF - Leibniz Research Institute of Environmental Medicine GmbH, Auf'm Hennekamp 50, 40225, Duesseldorf, Germany
| | - Fabienne Blesing
- IUF - Leibniz Research Institute of Environmental Medicine GmbH, Auf'm Hennekamp 50, 40225, Duesseldorf, Germany
| | - Anna von Mikecz
- IUF - Leibniz Research Institute of Environmental Medicine GmbH, Auf'm Hennekamp 50, 40225, Duesseldorf, Germany.
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Zhao N, Smargiassi A, Chen H, Widdifield J, Bernatsky S. Systemic autoimmune rheumatic diseases and multiple industrial air pollutant emissions: A large general population Canadian cohort analysis. ENVIRONMENT INTERNATIONAL 2023; 174:107920. [PMID: 37068387 DOI: 10.1016/j.envint.2023.107920] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/13/2023] [Accepted: 04/04/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Past investigations of air pollution and systemic autoimmune rheumatic diseases (SARDs) typically focused on individual (not mixed) and overall environmental emissions. We assessed mixtures of industrial emissions of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and sulfur dioxide (SO2) and SARDs onset in Ontario, Canada. METHODS We assembled an open cohort of over 12 million adults (without SARD diagnoses at cohort entry) based on provincial health data for 2007-2020 and followed them until SARD onset, death, emigration, or end of study (December 2020). SARDs were identified using physician billing and hospitalization diagnostic codes for systemic lupus, scleroderma, myositis, undifferentiated connective tissue disease, and Sjogren's. Rheumatoid arthritis and vasculitis were not included. Average PM2.5, NO2, and SO2 industrial emissions from 2002 to one year before SARDs onset or end of study were assigned using residential postal codes. A quantile g-computation model for time to SARD onset was developed for the industrial emission mixture, adjusting for sex, age, income, rurality index, chronic obstructive pulmonary disease (as a proxy for smoking), background (environmental overall) PM2.5, and calendar year. We conducted stratified analyses across age, sex, and rurality. RESULTS We identified 43,931 new SARD diagnoses across 143,799,564 person-years. The adjusted hazard ratio for SARD onset for an increase in all emissions by one decile was 1.018 (95% confidence interval 1.013-1.022). Similar positive associations between SARDs and the mixed emissions were observed in most stratified analyses. Industrial PM2.5 contributed most to SARD risk. CONCLUSIONS Industrial air pollution emissions were associated with SARDs risk.
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Affiliation(s)
- Naizhuo Zhao
- Center for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Audrey Smargiassi
- Département de Santé Environnementale et Santé au Travail, School of Public Health, Université de Montréal, Montréal, QC, Canada; Institut National de Santé Publique du Québec, Montréal, QC, Canada; Centre of Public Health Research, University of Montreal and CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Hong Chen
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada; ICES, Toronto, ON, Canada; Public Health Ontario, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Jessica Widdifield
- ICES, Toronto, ON, Canada; Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada; Institute of Health Policy, Management, & Evaluation, University of Toronto, Toronto, ON, Canada
| | - Sasha Bernatsky
- Center for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada; Divisions of Rheumatology and Clinical Epidemiology, Department of Medicine, McGill University, Montreal, QC, Canada.
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17
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Zhang H, D'Agostino C, Tulisiak C, Thorwald MA, Bergkvist L, Lindquist A, Meyerdirk L, Schulz E, Becker K, Steiner JA, Cacciottolo M, Kwatra M, Rey NL, Escobar Galvis ML, Ma J, Sioutas C, Morgan TE, Finch CE, Brundin P. Air pollution nanoparticle and alpha-synuclein fibrils synergistically decrease glutamate receptor A1, depending upon nPM batch activity. Heliyon 2023; 9:e15622. [PMID: 37128335 PMCID: PMC10148131 DOI: 10.1016/j.heliyon.2023.e15622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 04/03/2023] [Accepted: 04/17/2023] [Indexed: 05/03/2023] Open
Abstract
Background Epidemiological studies have variably linked air pollution to increased risk of Parkinson's disease (PD). However, there is little experimental evidence for this association. Alpha-synuclein (α-syn) propagation plays central roles in PD and glutamate receptor A1 (GluA1) is involved in memory and olfaction function. Methods Each mouse was exposed to one of three different batches of nano-particulate matter (nPM) (300 μg/m3, 5 h/d, 3 d/week), collected at different dates, 2017-2019, in the same urban site. After these experiments, these nPM batches were found to vary in activity. C57BL/6 female mice (3 mo) were injected with pre-formed murine α-synuclein fibrils (PFFs) (0.4 μg), which act as seeds for α-syn aggregation. Two exposure paradigms were used: in Paradigm 1, PFFs were injected into olfactory bulb (OB) prior to 4-week nPM (Batch 5b) exposure and in Paradigm 2, PFFs were injected at 4th week during 10-week nPM exposure (Batches 7 and 9). α-syn pSer129, microglia Iba1, inflammatory cytokines, and Gria1 expression were measured by immunohistochemistry or qPCR assays. Results As expected, α-syn pSer129 was detected in ipsilateral OB, anterior olfactory nucleus, amygdala and piriform cortex. One of the three batches of nPM caused a trend for elevated α-syn pSer129 in Paradigm 1, but two other batches showed no effect in Paradigm 2. However, the combination of nPM and PFF significantly decreased Gria1 mRNA in both the ipsi- and contra-lateral OB and frontal cortex for the most active two nPM batches. Neither nPM nor PFFs alone induced responses of microglia Iba1 and expression of Gria1 in the OB and cortex. Conclusion Exposures to ambient nPM had weak effect on α-syn propagation in the brain in current experimental paradigms; however, nPM and α-syn synergistically downregulated the expression of Gria1 in both OB and cortex.
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Affiliation(s)
- Hongqiao Zhang
- Leonard Davis School of Gerontology, University of Southern California, USA
- Corresponding author.
| | - Carla D'Agostino
- Leonard Davis School of Gerontology, University of Southern California, USA
| | | | - Max A. Thorwald
- Leonard Davis School of Gerontology, University of Southern California, USA
| | | | | | | | - Emily Schulz
- Van Andel Institute, Grand Rapids, MI 49503, USA
| | | | | | | | - Mohit Kwatra
- Van Andel Institute, Grand Rapids, MI 49503, USA
| | | | | | - Jiyan Ma
- Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Constantinos Sioutas
- Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Todd E. Morgan
- Leonard Davis School of Gerontology, University of Southern California, USA
| | - Caleb E. Finch
- Leonard Davis School of Gerontology, University of Southern California, USA
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Choi JY, Kim SY, Kim T, Lee C, Kim S, Chung HM. Ambient air pollution and the risk of neurological diseases in residential areas near multi-purposed industrial complexes of korea: A population-based cohort study. ENVIRONMENTAL RESEARCH 2023; 219:115058. [PMID: 36521536 DOI: 10.1016/j.envres.2022.115058] [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: 05/09/2022] [Revised: 11/25/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
Abstract
Emerging evidence suggest that long-term exposure to air pollution may induce adverse effects on the central nervous system. However, no study explored the associations in large industrial complex (IC) areas which are one of the major contributors to air pollution. Therefore, we aimed to investigate the pollution status and the association between residential proximity and incidence of neurological diseases near two major ICs characterized as multi-purposed ICs in Korea. A retrospective cohort of residents near the ICs was constructed using Korea's health insurance data and monitored from 2008 to 2019. Emission amounts of the ICs and the air pollution status in the nearby (exposed) and remote (control) area were evaluated using data from national regulatory networks, and hazard ratios (HRs) and 95% confidence intervals (CIs) for neurological diseases of the exposed group compared to the control group were calculated using Cox proportional regression models. Overall, the complexes emitted large amounts of VOCs, CO, NOx, and PM10, and annual levels of ambient PM (2.5, 10), gaseous substances (NO2, SO2), VOCs and PAHs were higher in the exposed area compared to the control and/or the national average. The risk of inflammatory disease of the CNS (G00-09) and extrapyramidal and movement disorders (G20-26) were higher in the exposed area with a HR (95% CI) of 1.36 (1.10-1.68) and 1.33 (1.27-1.39) respectively. Among the subclasses, other extrapyramidal and movement disorders (G25) and epilepsy (G40) were associated with higher risks in the exposed area (HR (95%CI): 1.11 (1.04-1.18), 1.08 (1.00-1.16)) after adjusting for potential confounders. These results suggest that people living near ICs are more likely to be exposed to higher air pollution levels and have higher risks of developing several neurological disorders. However, further epidemiological studies in these industrial areas supplemented with other indicators of environmental exposure and control of other diverse factors are warranted.
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Affiliation(s)
- Ji Yoon Choi
- Environmental Health Research Division, Environmental Health Research Department, National Institute of Environmental Research, Hwangyeong-ro 42, Seo-gu, Incheon, 22689, Republic of Korea
| | - Sung Yeon Kim
- Environmental Health Research Division, Environmental Health Research Department, National Institute of Environmental Research, Hwangyeong-ro 42, Seo-gu, Incheon, 22689, Republic of Korea.
| | - Taekyu Kim
- Environmental Health Research Division, Environmental Health Research Department, National Institute of Environmental Research, Hwangyeong-ro 42, Seo-gu, Incheon, 22689, Republic of Korea
| | - Chulwoo Lee
- Environmental Health Research Division, Environmental Health Research Department, National Institute of Environmental Research, Hwangyeong-ro 42, Seo-gu, Incheon, 22689, Republic of Korea
| | - Suejin Kim
- Environmental Health Research Division, Environmental Health Research Department, National Institute of Environmental Research, Hwangyeong-ro 42, Seo-gu, Incheon, 22689, Republic of Korea
| | - Hyen-Mi Chung
- Environmental Health Research Division, Environmental Health Research Department, National Institute of Environmental Research, Hwangyeong-ro 42, Seo-gu, Incheon, 22689, Republic of Korea
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19
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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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20
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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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Safiri S, Noori M, Nejadghaderi SA, Mousavi SE, Sullman MJM, Araj-Khodaei M, Singh K, Kolahi AA, Gharagozli K. The burden of Parkinson's disease in the Middle East and North Africa region, 1990-2019: results from the global burden of disease study 2019. BMC Public Health 2023; 23:107. [PMID: 36642724 PMCID: PMC9841703 DOI: 10.1186/s12889-023-15018-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 01/10/2023] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Parkinson's disease (PD) remains a common disabling progressive neurodegenerative disorder. We aimed to report the prevalence, death and disability-adjusted life-years (DALYs) attributable to PD in the Middle East and North Africa (MENA) region and its 21 countries by age, sex and socio-demographic index (SDI), between 1990 and 2019. METHODS Publicly available data on the burden of PD in the MENA countries were retrieved from the Global Burden of Disease (GBD) 2019 project. The results are presented with age-standardised numbers and rates per 100,000 population, along with their corresponding 95% uncertainty intervals (UIs). RESULTS In 2019, PD had an age-standardised point prevalence of 82.6 per 100,000 population in MENA and an age-standardised death rate of 5.3, which have increased from 1990 to 2019 by 15.4% and 2.3%, respectively. In 2019, the age-standardised DALY rate of PD was 84.4, which was 0.9% higher than in 1990. The highest and lowest age-standardised DALY rates of PD in 2019 were found in Qatar and Kuwait, respectively. Also in 2019, the highest number of prevalent cases and number of DALYs were found in the 75-79 age group for both sexes. In 2019, females in MENA had an overall higher DALY rate. Furthermore, from 1990 to 2019 the burden of PD generally decreased with increasing socio-economic development, up to an SDI of around 0.4, and then increased with higher levels of SDI. CONCLUSION An upward trend was observed in the point prevalence of PD over the last three decades. This highlights the need to allocate more resources for research. Furthermore, properly equipped healthcare services are needed for the increasing number of patients with PD.
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Affiliation(s)
- Saeid Safiri
- grid.412888.f0000 0001 2174 8913Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran ,grid.412888.f0000 0001 2174 8913Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran ,grid.412888.f0000 0001 2174 8913Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Maryam Noori
- grid.411746.10000 0004 4911 7066Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Seyed Aria Nejadghaderi
- grid.411600.2School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran ,grid.510410.10000 0004 8010 4431Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Seyed Ehsan Mousavi
- grid.412888.f0000 0001 2174 8913Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mark J. M. Sullman
- grid.413056.50000 0004 0383 4764Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus ,grid.413056.50000 0004 0383 4764Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Mostafa Araj-Khodaei
- grid.412888.f0000 0001 2174 8913Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Kuljit Singh
- grid.1022.10000 0004 0437 5432Department of Medicine, Griffith University, Southport, QLD Australia
| | - Ali-Asghar Kolahi
- grid.411600.2Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kurosh Gharagozli
- grid.411600.2Brain Mapping Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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22
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Liu XQ, Huang J, Song C, Zhang TL, Liu YP, Yu L. Neurodevelopmental toxicity induced by PM2.5 Exposure and its possible role in Neurodegenerative and mental disorders. Hum Exp Toxicol 2023; 42:9603271231191436. [PMID: 37537902 DOI: 10.1177/09603271231191436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Recent extensive evidence suggests that ambient fine particulate matter (PM2.5, with an aerodynamic diameter ≤2.5 μm) may be neurotoxic to the brain and cause central nervous system damage, contributing to neurodevelopmental disorders, such as autism spectrum disorders, neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease, and mental disorders, such as schizophrenia, depression, and bipolar disorder. PM2.5 can enter the brain via various pathways, including the blood-brain barrier, olfactory system, and gut-brain axis, leading to adverse effects on the CNS. Studies in humans and animals have revealed that PM2.5-mediated mechanisms, including neuroinflammation, oxidative stress, systemic inflammation, and gut flora dysbiosis, play a crucial role in CNS damage. Additionally, PM2.5 exposure can induce epigenetic alterations, such as hypomethylation of DNA, which may contribute to the pathogenesis of some CNS damage. Through literature analysis, we suggest that promising therapeutic targets for alleviating PM2.5-induced neurological damage include inhibiting microglia overactivation, regulating gut microbiota with antibiotics, and targeting signaling pathways, such as PKA/CREB/BDNF and WNT/β-catenin. Additionally, several studies have observed an association between PM2.5 exposure and epigenetic changes in neuropsychiatric disorders. This review summarizes and discusses the association between PM2.5 exposure and CNS damage, including the possible mechanisms by which PM2.5 causes neurotoxicity.
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Affiliation(s)
- Xin-Qi Liu
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Jia Huang
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Chao Song
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Tian-Liang Zhang
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Yong-Ping Liu
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Li Yu
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
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23
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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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24
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Hu K, He Q. Associations of PM 2.5 intensity and duration with cognitive impairment: A longitudinal analysis of middle-aged and older adults in China. ENVIRONMENTAL RESEARCH 2022; 215:114261. [PMID: 36096172 DOI: 10.1016/j.envres.2022.114261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 07/22/2022] [Accepted: 08/31/2022] [Indexed: 06/15/2023]
Abstract
Long-term exposure to air pollution is associated with a higher risk of cognitive impairment; however, the understanding of this association is incomplete. We aimed to explore the relationship between fine particulate matter (PM2.5) exposure and cognitive function using a prospective cohort of ageing adults, including 19,389 respondents in four waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011-2018) linked with the historical PM2.5 concentrations (2000-2018) in China. By extending the measurement of PM2.5 exposure from exposure intensity (averaged PM2.5 concentrations) to exposure duration (the number of months with higher PM2.5 concentrations), we employed two linear models, the fixed-effect and mixed-effect linear models, to estimate the associations between PM2.5 exposure and cognitive impairment, with adjustments for individual and regional covariates. Our findings show that the higher PM2.5 intensity was associated with worse cognitive function, but the associations were only statistically significant in a longer exposure period (more than one year), especially in the 10-year exposure (Coefficient: -0.13; 95% Confidence Interval: -0.22, -0.04). Similar patterns were seen for fully adjusted models of PM2.5 duration: a longer duration in PM2.5 exposure was associated with lower cognitive scores, and the duration with higher cut-off points had stronger effects on cognitive function except for the duration at 75 μg/m3, suggesting a possible coincidence of increasing air pollution and economic development. The stronger exposure to PM2.5 was associated with poorer cognitive function among Chinese adults, while more work is necessary to explore the causal effect of air pollution, independent of individual and contextual background characteristics.
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Affiliation(s)
- Kai Hu
- Department of Sociology, School of Social and Public Administration, East China University of Science and Technology, 130 Meilong Road, Xuhui District, Shanghai, 200237, China; School of Geography and Sustainable Development, University of St Andrews, KY16 9AL, UK.
| | - Qingqing He
- School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan, 430070, China.
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Ding E, Wang Y, Liu J, Tang S, Shi X. A review on the application of the exposome paradigm to unveil the environmental determinants of age-related diseases. Hum Genomics 2022; 16:54. [DOI: 10.1186/s40246-022-00428-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 10/29/2022] [Indexed: 11/11/2022] Open
Abstract
AbstractAge-related diseases account for almost half of all diseases among adults worldwide, and their incidence is substantially affected by the exposome, which is the sum of all exogenous and endogenous environmental exposures and the human body’s response to these exposures throughout the entire lifespan. Herein, we perform a comprehensive review of the epidemiological literature to determine the key elements of the exposome that affect the development of age-related diseases and the roles of aging hallmarks in this process. We find that most exposure assessments in previous aging studies have used a reductionist approach, whereby the effect of only a single environmental factor or a specific class of environmental factors on the development of age-related diseases has been examined. As such, there is a lack of a holistic and unbiased understanding of the effect of multiple environmental factors on the development of age-related diseases. To address this, we propose several research strategies based on an exposomic framework that could advance our understanding—in particular, from a mechanistic perspective—of how environmental factors affect the development of age-related diseases. We discuss the statistical methods and other methods that have been used in exposome-wide association studies, with a particular focus on multiomics technologies. We also address future challenges and opportunities in the realm of multidisciplinary approaches and genome–exposome epidemiology. Furthermore, we provide perspectives on precise public health services for vulnerable populations, public communications, the integration of risk exposure information, and the bench-to-bedside translation of research on age-related diseases.
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Chen Z, Liu N, Tang H, Gao X, Zhang Y, Kan H, Deng F, Zhao B, Zeng X, Sun Y, Qian H, Liu W, Mo J, Zheng X, Huang C, Sun C, Zhao Z. Health effects of exposure to sulfur dioxide, nitrogen dioxide, ozone, and carbon monoxide between 1980 and 2019: A systematic review and meta-analysis. INDOOR AIR 2022; 32:e13170. [PMID: 36437665 DOI: 10.1111/ina.13170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/23/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
The burden of disease attributed to the indoor exposure to sulfur dioxide (SO2 ), nitrogen dioxide (NO2 ), ozone (O3 ), and carbon monoxide (CO) is not clear, and the quantitative concentration-response relationship is a prerequisite. This is a systematic review to summarize the quantitative concentration-response relationships by screening and analyzing the polled effects of population-based epidemiological studies. After collecting literature published between 1980 and 2019, a total of 19 health outcomes in 101 studies with 182 health risk estimates were recruited. By meta-analysis, the leave-one-out sensitivity analysis and Egger's test for publication bias, the robust and reliable effects were found for SO2 (per 10 μg/m3 ) with chronic obstructive pulmonary diseases (COPD) (pooled relative risks [RRs] 1.016, 95% CI: 1.012-1.021) and cardiovascular diseases (CVD) (RR 1.012, 95%CI: 007-1.018), respectively. NO2 (per 10 μg/m3 ) had the pooled RRs for childhood asthma, preterm birth, lung cancer, diabetes, and COPD by 1.134 (1.084-1.186), 1.079 (1.007-1.157), 1.055 (1.010-1.101), 1.019 (1.009-1.029), and 1.016 (1.012-1.120), respectively. CO (per 1 mg/m3 ) was significantly associated with Parkinson's disease (RR 1.574, 95% CI: 1.069-2.317) and CVD (RR 1.024, 95% CI: 1.011-1.038). No robust effects were observed for O3 . This study provided evidence and basis for further estimation of the health burden attributable to the four gaseous pollutants.
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Affiliation(s)
- Zhuoru Chen
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Ningrui Liu
- Department of Building Science, Tsinghua University, Beijing, China
| | - Hao Tang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xuehuan Gao
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Furong Deng
- School of Public Health, Peking University, Beijing, China
| | - Bin Zhao
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiangang Zeng
- School of Environment and Natural Resources, Renmin University of China, Beijing, China
| | - Yuexia Sun
- School of Environmental Science and Engineering, Tianjin University, Tianjin, China
| | - Hua Qian
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Wei Liu
- Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China
| | - Jinhan Mo
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiaohong Zheng
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chanjuan Sun
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Zhuohui Zhao
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
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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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Xiong Q, Tian X, Xu C, Ma B, Liu W, Sun B, Ru Q, Shu X. PM 2 .5 exposure-induced ferroptosis in neuronal cells via inhibiting ERK/CREB pathway. ENVIRONMENTAL TOXICOLOGY 2022; 37:2201-2213. [PMID: 35608139 DOI: 10.1002/tox.23586] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 03/25/2022] [Accepted: 05/06/2022] [Indexed: 05/16/2023]
Abstract
PM2.5 exposure has been demonstrated to correlate with neurological disorders recently. Ferroptosis is recognized as a newly found programmed form of cell death associated with neurodegenerative diseases, while glutathione peroxidase 4 (GPX4) is a key regulator of ferroptosis. However, the relationship between PM2.5 -induced neurotoxicity and ferroptosis is still unclear. The current study aims to investigate if ferroptosis is involved in neurotoxicity post PM2.5 exposure and its underlying mechanism. The PM2.5 -treated neuronal Neuro-2a (N2A) and SH-SY5Y cells were applied to the current study. The results showed that PM2.5 significantly increased the neuronal cell death, yet the ferroptosis antagonist Ferrostain-1 (Fer-1) markedly decreased the cell death induced by PM2.5 . Western blot further confirmed that ferroptosis was triggered post PM2.5 treatment in N2A cells by decreasing expressions of GPX4 and ferritin heavy chain (FTH), as well as enhancing expressions of ferritin light chain (FTL) and transferrin receptor protein (TFRC). Meanwhile, PM2.5 treatment augmented neuronal oxidative damage and mitochondrial dysfunction. The bioinformatic analysis indicated that CREB could be the regulator of GPX4, and our results showed that ERK/CREB pathway was down-regulated in N2A cells post PM2.5 treatment. The addition of ERK1/2 agonist post PM2.5 treatment significantly inhibit ferroptosis via increasing the expression of GPX4. Taken together, the present study demonstrated that PM2.5 -induced ferroptosis via inhibiting ERK/CREB pathway, and these findings will advance our knowledge of PM2.5 -induced cytotoxicity in the nervous system.
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Affiliation(s)
- Qi Xiong
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan Economic and Technological Development Zone, Wuhan, People's Republic of China
| | - Xiang Tian
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan Economic and Technological Development Zone, Wuhan, People's Republic of China
| | - Congyue Xu
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan Economic and Technological Development Zone, Wuhan, People's Republic of China
| | - Baomiao Ma
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan Economic and Technological Development Zone, Wuhan, People's Republic of China
| | - Wei Liu
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan Economic and Technological Development Zone, Wuhan, People's Republic of China
| | - Binlian Sun
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan Economic and Technological Development Zone, Wuhan, People's Republic of China
| | - Qin Ru
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan Economic and Technological Development Zone, Wuhan, People's Republic of China
- Wuhan Economic and Technological Development Zone, Jianghan University, Wuhan City, China
| | - Xiji Shu
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan Economic and Technological Development Zone, Wuhan, People's Republic of China
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Lee H, Kim OJ, Jung J, Myung W, Kim SY. Long-term exposure to particulate air pollution and incidence of Parkinson's disease: A nationwide population-based cohort study in South Korea. ENVIRONMENTAL RESEARCH 2022; 212:113165. [PMID: 35364040 DOI: 10.1016/j.envres.2022.113165] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/20/2022] [Accepted: 03/21/2022] [Indexed: 06/14/2023]
Abstract
There has been increasing interest in the neurological impact of particulate matter (PM). However, its association with the incidence of Parkinson's disease (PD) remains unclear. We selected 313,355 participants satisfying inclusion criteria from the National Health Insurance Service-National Sample Cohort based on the nationwide population of South Korea, and followed them up from January 2007 through December 2015. Individual-level long-term PM exposure was assessed as the five time-varying average concentrations estimated for the previous 1, 2, 3, 4 and 5 years on each year (until censored or event occurred) at the district-level residential addresses of participants using a previously validated prediction model. Incident PD was defined as the first diagnosis accompanied by anti-PD medication prescription from 2007 through 2015. Time-varying Cox proportional hazards models were employed to estimate the hazard ratio (HR) of incident PD for long-term PM exposure, adjusting for individual- and area-level covariates. During the 8 years (2,745,389 person-years) of follow-up for a total of 313,355 participants (mean [range] age, 48.9 [19-87] years; 169,571 males [54.1%]), 2621 participants (0.8%) developed PD. The HR of incident PD per interquartile range (3.3 μg/m3) increase in fine PM (PM2.5) for the previous 1 year was 1.08 (95% confidence interval: 1.01-1.19). In subgroup-specific analyses, HRs for PM2.5 were significant among older participants, males, participants living in metropolitan cities, ibuprofen users, and participants with comorbidities (HR: 1.10-1.20). Long-term exposure to PM2.5 might play a role in PD development.
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Affiliation(s)
- Hyewon Lee
- Department of Health Administration and Management, College of Medical Sciences, Soonchunhyang University, Asan-si, Chungcheongnam-do, South Korea; Department of Software Convergence, Soonchunhyang University Graduate School, Asan-si, Chungcheongnam-do, South Korea
| | - Ok-Jin Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, South Korea; Environmental Health Research Division, National Institute of Environmental Research, Incheon, South Korea
| | - Jiyun Jung
- Data Management and Statistics Institute, Dongguk University Ilsan Hospital, Goyang-si, Gyeonggi-do, South Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea; Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea.
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, South Korea.
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Cristaldi A, Fiore M, Oliveri Conti G, Pulvirenti E, Favara C, Grasso A, Copat C, Ferrante M. Possible association between PM 2.5 and neurodegenerative diseases: A systematic review. ENVIRONMENTAL RESEARCH 2022; 208:112581. [PMID: 34979121 DOI: 10.1016/j.envres.2021.112581] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/13/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
Air pollution is one of the most serious environmental problems that afflict our planet and one of the greatest risk factors for human health. In particular, PM2.5 is able to cross the blood-alveolar and blood-brain barriers, thus increasing the onset of respiratory, cardiovascular and neurodegenerative diseases. Neurodegenerative disease is a progressive neuronal dysfunction that leads to neuronal lesions in both structure and function, and includes several diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), vascular dementia (VaD), multiple sclerosis (MS), and others. We carried out a systematic review using PRISMA approach to investigate on the possible association between exposure to PM2.5 and neurodegenerative diseases. The international databases (PubMed, Science Direct, Web of Sciences) were used to find published studies on the topic. The search period was between January 2011 and June 2021. About 2000 full research articles were selected, and finally, we included 20 full-research articles. Selected studies have highlighted how PM2.5 exposure can be associated with the onset of neurodegenerative diseases (AD, PD, MS, VaD). This association depends not only on age, PM2.5 levels and exposure time, but also on exposure to other air pollutants, proximity to areas with high vehicular traffic, and the presence of comorbidities. Exposure to PM2.5 promotes neuroinflammation processes, because through breathing the particles can reach the nasal epithelial mucosa and transferred to the brain through the olfactory bulb. Furthermore, exposure to PM2.5 has been associated with an increased expression of markers of neurodegenerative diseases (e.g. alpha-synuclein or beta-amyloid), which can contribute to the etiopathogenesis of neurodegenerative diseases. Although many studies have revealed the pathological relationship between PM2.5 exposure and cognitive impairment, the potential cellular and molecular mechanisms of PM2.5 leading to neurodegenerative disease remain not entirely clear, and then, further studies need to be carried out on the topic.
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Affiliation(s)
- Antonio Cristaldi
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 87, Catania, 95123, Italy
| | - Maria Fiore
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 87, Catania, 95123, Italy
| | - Gea Oliveri Conti
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 87, Catania, 95123, Italy.
| | - Eloise Pulvirenti
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 87, Catania, 95123, Italy
| | - Claudia Favara
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 87, Catania, 95123, Italy
| | - Alfina Grasso
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 87, Catania, 95123, Italy
| | - Chiara Copat
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 87, Catania, 95123, Italy
| | - Margherita Ferrante
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 87, Catania, 95123, Italy
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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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Murata H, Barnhill LM, Bronstein JM. Air Pollution and the Risk of Parkinson's Disease: A Review. Mov Disord 2022; 37:894-904. [PMID: 35043999 PMCID: PMC9119911 DOI: 10.1002/mds.28922] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/15/2021] [Accepted: 12/27/2021] [Indexed: 12/11/2022] Open
Abstract
Parkinson's disease, as well as other neurodegenerative disorders, are primarily characterized by pathological accumulation of proteins, inflammation, and neuron loss. Although there are some known genetic risk factors, most cases cannot be explained by genetics alone. Therefore, it is important to determine the environmental factors that confer risk and the mechanisms by which they act. Recent epidemiological studies have found that exposure to air pollution is associated with an increased risk for development of Parkinson's disease, although not all results are uniform. The variability between these studies is likely due to differences in what components of air pollution are measured, timing and methods used to determine exposures, and correction for other variables. There are several potential mechanisms by which air pollution could act to increase the risk for development of Parkinson's disease, including direct neuronal toxicity, induction of systemic inflammation leading to central nervous system inflammation, and alterations in gut physiology and the microbiome. Taken together, air pollution is an emerging risk factor in the development of Parkinson's disease. A number of potential mechanisms have been implicated by which it promotes neuropathology providing biological plausibility, and these mechanisms are likely relevant to the development of other neurodegenerative disorders such as Alzheimer's disease. This field is in its early stages, but a better understanding of how environmental exposures influence the pathogenesis of neurodegeneration is essential for reducing the incidence of disease and finding disease-modifying therapies. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Hiromi Murata
- Department of Neurology and Molecular Toxicology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Lisa M Barnhill
- Department of Neurology and Molecular Toxicology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Jeff M Bronstein
- Department of Neurology and Molecular Toxicology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
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The effects of air pollution, meteorological parameters, and climate change on COVID-19 comorbidity and health disparities: A systematic review. ENVIRONMENTAL CHEMISTRY AND ECOTOXICOLOGY 2022; 4. [PMCID: PMC9568272 DOI: 10.1016/j.enceco.2022.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Air pollutants, especially particulate matter, and other meteorological factors serve as important carriers of infectious microbes and play a critical role in the spread of disease. However, there remains uncertainty about the relationship among particulate matter, other air pollutants, meteorological conditions and climate change and the spread of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), hereafter referred to as COVID-19. A systematic review was conducted using PRISMA guidelines to identify the relationship between air quality, meteorological conditions and climate change, and COVID-19 risk and outcomes, host related factors, co-morbidities and disparities. Out of a total of 170,296 scientific publications screened, 63 studies were identified that focused on the relationship between air pollutants and COVID-19. Additionally, the contribution of host related-factors, co-morbidities, and health disparities was discussed. This review found a preponderance of evidence of a positive relationship between PM2.5, other air pollutants, and meteorological conditions and climate change on COVID-19 risk and outcomes. The effects of PM2.5, air pollutants, and meteorological conditions on COVID-19 mortalities were most commonly experienced by socially disadvantaged and vulnerable populations. Results however, were not entirely consistent, and varied by geographic region and study. Opportunities for using data to guide local response to COVID-19 are identified.
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Li J, Wang Y, Steenland K, Liu P, van Donkelaar A, Martin RV, Chang HH, Caudle WM, Schwartz J, Koutrakis P, Shi L. Long-term effects of PM2.5 components on incident dementia in the Northeastern United States. Innovation (N Y) 2022; 3:100208. [PMID: 35199078 PMCID: PMC8844282 DOI: 10.1016/j.xinn.2022.100208] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 01/13/2022] [Indexed: 11/26/2022] Open
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35
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Martikainen MV, Aakko-Saksa P, van den Broek L, Cassee FR, Carare RO, Chew S, Dinnyes A, Giugno R, Kanninen KM, Malm T, Muala A, Nedergaard M, Oudin A, Oyola P, Pfeiffer TV, Rönkkö T, Saarikoski S, Sandström T, Schins RPF, Topinka J, Yang M, Zeng X, Westerink RHS, Jalava PI. TUBE Project: Transport-Derived Ultrafines and the Brain Effects. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 19:311. [PMID: 35010571 PMCID: PMC8751045 DOI: 10.3390/ijerph19010311] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/17/2021] [Accepted: 12/24/2021] [Indexed: 06/14/2023]
Abstract
The adverse effects of air pollutants on the respiratory and cardiovascular systems are unquestionable. However, in recent years, indications of effects beyond these organ systems have become more evident. Traffic-related air pollution has been linked with neurological diseases, exacerbated cognitive dysfunction, and Alzheimer's disease. However, the exact air pollutant compositions and exposure scenarios leading to these adverse health effects are not known. Although several components of air pollution may be at play, recent experimental studies point to a key role of ultrafine particles (UFPs). While the importance of UFPs has been recognized, almost nothing is known about the smallest fraction of UFPs, and only >23 nm emissions are regulated in the EU. Moreover, the role of the semivolatile fraction of the emissions has been neglected. The Transport-Derived Ultrafines and the Brain Effects (TUBE) project will increase knowledge on harmful ultrafine air pollutants, as well as semivolatile compounds related to adverse health effects. By including all the major current combustion and emission control technologies, the TUBE project aims to provide new information on the adverse health effects of current traffic, as well as information for decision makers to develop more effective emission legislation. Most importantly, the TUBE project will include adverse health effects beyond the respiratory system; TUBE will assess how air pollution affects the brain and how air pollution particles might be removed from the brain. The purpose of this report is to describe the TUBE project, its background, and its goals.
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Affiliation(s)
- Maria-Viola Martikainen
- Department of Environmental and Biological Sciences, University of Eastern Finland, 70210 Kuopio, Finland; (M.Y.); (P.I.J.)
| | - Päivi Aakko-Saksa
- VTT Technical Research Centre of Finland Ltd., 02044 Espoo, Finland;
| | | | - Flemming R. Cassee
- Centre for Sustainability, Environment and Health, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands;
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, 3508 TD Utrecht, The Netherlands;
| | - Roxana O. Carare
- Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK;
| | - Sweelin Chew
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70211 Kuopio, Finland; (S.C.); (K.M.K.); (T.M.)
| | | | - Rosalba Giugno
- Computer Science Department, University of Verona, 37129 Verona, Italy;
| | - Katja M. Kanninen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70211 Kuopio, Finland; (S.C.); (K.M.K.); (T.M.)
| | - Tarja Malm
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70211 Kuopio, Finland; (S.C.); (K.M.K.); (T.M.)
| | - Ala Muala
- Department of Public Health and Clinical Medicine, Division of Medicine/Respiratory Medicine, Umeå University, 901 87 Umea, Sweden; (A.M.); (A.O.); (T.S.)
| | - Maiken Nedergaard
- Center for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark;
| | - Anna Oudin
- Department of Public Health and Clinical Medicine, Division of Medicine/Respiratory Medicine, Umeå University, 901 87 Umea, Sweden; (A.M.); (A.O.); (T.S.)
| | - Pedro Oyola
- Centro Mario Molina Chile, Strategic Studies Department, Santiago 602, Chile;
| | | | - Topi Rönkkö
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, 33720 Tampere, Finland;
| | - Sanna Saarikoski
- Atmospheric Composition Research, Finnish Meteorological Institute, 00101 Helsinki, Finland;
| | - Thomas Sandström
- Department of Public Health and Clinical Medicine, Division of Medicine/Respiratory Medicine, Umeå University, 901 87 Umea, Sweden; (A.M.); (A.O.); (T.S.)
| | - Roel P. F. Schins
- IUF—Leibniz Research Institute for Environmental Medicine, 40225 Dusseldorf, Germany;
| | - Jan Topinka
- Department of Genetic Toxicology and Epigenetics, Institute of Experimental Medicine of the CAS, Videnska 1083, 142 20 Prague, Czech Republic;
| | - Mo Yang
- Department of Environmental and Biological Sciences, University of Eastern Finland, 70210 Kuopio, Finland; (M.Y.); (P.I.J.)
| | - Xiaowen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China;
| | - Remco H. S. Westerink
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, 3508 TD Utrecht, The Netherlands;
| | - Pasi I. Jalava
- Department of Environmental and Biological Sciences, University of Eastern Finland, 70210 Kuopio, Finland; (M.Y.); (P.I.J.)
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Yuan X, Tian Y, Liu C, Zhang Z. Environmental factors in Parkinson's disease: New insights into the molecular mechanisms. Toxicol Lett 2021; 356:1-10. [PMID: 34864130 DOI: 10.1016/j.toxlet.2021.12.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/25/2021] [Accepted: 12/02/2021] [Indexed: 02/07/2023]
Abstract
Parkinson's disease is a chronic, progressive neurodegenerative disorder affecting 2-3% of the population ≥65 years. It has long been characterized by motor impairment, autonomic dysfunction, and psychological and cognitive changes. The pathological hallmarks are intracellular inclusions containing α-synuclein aggregates and the loss of dopaminergic neurons in the substantia nigra. Parkinson's disease is thought to be caused by a combination of various pathogenic factors, including genetic factors, environmental factors, and lifestyles. Although much research has focused on the genetic causes of PD, environmental risk factors also play a crucial role in the development of the disease. Here, we summarize the environmental risk factors that may increase the occurrence of PD, as well as the underlying molecular mechanisms.
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Affiliation(s)
- Xin Yuan
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Ye Tian
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Chaoyang Liu
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, 430060, China; Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan, 430073, China
| | - Zhentao Zhang
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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Jo S, Kim YJ, Chung SJ. Concerns Remain Regarding Ambient NO2 Exposure and the Risk of Parkinson Disease-Reply. JAMA Neurol 2021; 79:89-90. [PMID: 34747974 DOI: 10.1001/jamaneurol.2021.4106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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
| | - Sun Ju Chung
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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Shi W, Kan L, Li Y. Concerns Remain Regarding Ambient NO2 Exposure and the Risk of Parkinson Disease. JAMA Neurol 2021; 79:89. [PMID: 34747983 DOI: 10.1001/jamaneurol.2021.4103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Wenming Shi
- Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lena Kan
- Division of Population, Family, and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Yongzhen Li
- School of Public Health, Fudan University, Shanghai, China.,Key Lab of Public Health Safety of the Ministry of Education, Fudan University, Shanghai, China.,NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
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Risk and Resilience: How Is the Health of Older Adults and Immigrant People Living in Canada Impacted by Climate- and Air Pollution-Related Exposures? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182010575. [PMID: 34682320 PMCID: PMC8535805 DOI: 10.3390/ijerph182010575] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/02/2021] [Accepted: 10/06/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND In the rapidly shifting Canadian climate, an ageing population, and increased migration, a greater understanding of how local climate and air pollution hazards impact older adults and immigrant populations will be necessary for mitigating and adapting to adverse health impacts. OBJECTIVES To explore the reported health impacts of climate change and air pollution exposures in older adults and immigrant people living in Canada, identify known factors influencing risk and resilience in these populations and gaps in the literature. METHODS We searched for research focused on older adults and immigrants living in Canada, published from 2010 onward, where the primary exposures were related to climate or air pollution. We extracted data on setting, exposures, health outcomes, and other relevant contextual factors. RESULTS AND DISCUSSION We identified 52 eligible studies, most focused in Ontario and Quebec. Older people in Canada experience health risks due to climate and air pollution exposures. The extent of the risk depends on multiple factors. We found little information about the climate- and air pollution-related health impacts experienced by immigrant communities. CONCLUSIONS Further research about climate- and air pollution-related exposures, health, and which factors promote or reduce resiliency in Canada's older adults and immigrant communities is necessary.
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Nunez Y, Boehme AK, Li M, Goldsmith J, Weisskopf MG, Re DB, Navas-Acien A, van Donkelaar A, Martin RV, Kioumourtzoglou MA. Parkinson's disease aggravation in association with fine particle components in New York State. ENVIRONMENTAL RESEARCH 2021; 201:111554. [PMID: 34181919 PMCID: PMC8478789 DOI: 10.1016/j.envres.2021.111554] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 06/09/2021] [Accepted: 06/16/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Long-term exposure to fine particulate matter (PM2.5) has been associated with neurodegenerative diseases, including disease aggravation in Parkinson's disease (PD), but associations with specific PM2.5 components have not been evaluated. OBJECTIVE To characterize the association between specific PM2.5 components and PD first hospitalization, a surrogate for disease aggravation. METHODS We obtained data on hospitalizations from the New York Department of Health Statewide Planning and Research Cooperative System (2000-2014) to calculate annual first PD hospitalization counts in New York State per county. We used well-validated prediction models at 1 km2 resolution to estimate county level population-weighted annual black carbon (BC), organic matter (OM), nitrate, sulfate, sea salt (SS), and soil particle concentrations. We then used a multi-pollutant mixed quasi-Poisson model with county-specific random intercepts to estimate rate ratios (RR) of one-year exposure to each PM2.5 component and PD disease aggravation. We evaluated potential nonlinear exposure-outcome relationships using penalized splines and accounted for potential confounders. RESULTS We observed a total of 197,545 PD first hospitalizations in NYS from 2000 to 2014. The annual average count per county was 212 first hospitalizations. The RR (95% confidence interval) for PD aggravation was 1.06 (1.03, 1.10) per one standard deviation (SD) increase in nitrate concentrations and 1.06 (1.04, 1.09) for the corresponding increase in OM concentrations. We also found a nonlinear inverse association between PD aggravation and BC at concentrations above the 96th percentile. We found a marginal association with SS and no association with sulfate or soil exposure. CONCLUSION In this study, we detected associations between the PM2.5 components OM and nitrate with PD disease aggravation. Our findings support that PM2.5 adverse effects on PD may vary by particle composition.
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Affiliation(s)
- Yanelli Nunez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Amelia K Boehme
- Department of Epidemiology and Neurology, Columbia University, New York, NY, USA
| | - Maggie Li
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Jeff Goldsmith
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Marc G Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Diane B Re
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Aaron van Donkelaar
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, MO, USA; Department of Physics and Atmospheric Science, Dalhousie University, Halix, Nova Scotia, Canada
| | - Randall V Martin
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, MO, USA; Department of Physics and Atmospheric Science, Dalhousie University, Halix, Nova Scotia, Canada
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Shin S, Bai L, Burnett RT, Kwong JC, Hystad P, van Donkelaar A, Lavigne E, Weichenthal S, Copes R, Martin RV, Kopp A, Chen H. Air Pollution as a Risk Factor for Incident Chronic Obstructive Pulmonary Disease and Asthma. A 15-Year Population-based Cohort Study. Am J Respir Crit Care Med 2021; 203:1138-1148. [PMID: 33147059 DOI: 10.1164/rccm.201909-1744oc] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Rationale: Current evidence on the relationship between long-term exposure to air pollution and new onset of chronic lung disease is inconclusive.Objectives: To examine associations of incident chronic obstructive pulmonary disease (COPD) and adult-onset asthma with past exposure to fine particulate matter ≤ 2.5 μm in diameter (PM2.5), nitrogen dioxide (NO2), ozone (O3), and the redox-weighted average of NO2 and O3 (Ox) and characterize the concentration-response relationship.Methods: We conducted a population-based cohort study of all Ontarians, aged 35-85 years, from 2001 to 2015. A 3-year moving average of residential exposures to selected pollutants with a 1-year lag were estimated during follow-up. We used Cox proportional hazard models and Aalen additive-hazard models to quantify the pollution-disease associations and characterized the shape of these relationships using newly developed nonlinear risk models.Measurements and Main Results: Among 5.1 million adults, we identified 340,733 and 218,005 incident cases of COPD and asthma, respectively. We found positive associations of COPD with PM2.5 per interquartile-range (IQR) increase of 3.4 μg/m3 (hazard ratio, 1.07; 95% confidence interval, 1.06-1.08), NO2 per IQR increase of 13.9 ppb (1.04; 1.02-1.05), O3 per IQR increase of 6.3 ppb (1.04; 1.03-1.04), and Ox per IQR increase of 4.4 ppb (1.03; 1.03-1.03). By contrast, we did not find strong evidence linking these pollutants to adult-onset asthma. In addition, we quantified that each IQR increase in pollution exposure yielded 3.0 (2.4-3.6), 3.2 (2.0-4.3), 1.9 (1.3-2.5), and 2.3 (1.7-2.9) excess cases of COPD per 100,000 adults for PM2.5, NO2, O3, and Ox, respectively. Furthermore, most pollutant-COPD relationships exhibited supralinear shapes.Conclusions: Air pollution was associated with a higher incidence of COPD but was not associated with a higher incidence of adult-onset asthma.
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Affiliation(s)
- Saeha Shin
- Public Health Ontario, Toronto, Ontario, Canada
| | - Li Bai
- ICES, Toronto, Ontario, Canada
| | - Richard T Burnett
- Environmental Health Science and Research Bureau, Population Studies Division, and
| | - Jeffrey C Kwong
- Public Health Ontario, Toronto, Ontario, Canada.,ICES, Toronto, Ontario, Canada.,Department of Family and Community Medicine and.,Centre for Vaccine Preventable Diseases.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Perry Hystad
- College of Public Health and Human Studies, Oregon State University, Corvallis, Oregon
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.,Department of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | - Eric Lavigne
- Air Health Science Division, Health Canada, Ottawa, Ontario, Canada.,School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada; and
| | - Scott Weichenthal
- Air Health Science Division, Health Canada, Ottawa, Ontario, Canada.,Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Ray Copes
- Public Health Ontario, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Randall V Martin
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.,Department of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | | | - Hong Chen
- Public Health Ontario, Toronto, Ontario, Canada.,ICES, Toronto, Ontario, Canada.,Environmental Health Science and Research Bureau, Population Studies Division, and.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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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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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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Liu J, Liu B, Yuan P, Cheng L, Sun H, Gui J, Pan Y, Huang D, Chen H, Jiang L. Role of PKA/CREB/BDNF signaling in PM2.5-induced neurodevelopmental damage to the hippocampal neurons of rats. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 214:112005. [PMID: 33640725 DOI: 10.1016/j.ecoenv.2021.112005] [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: 09/27/2020] [Revised: 01/23/2021] [Accepted: 01/27/2021] [Indexed: 05/20/2023]
Abstract
Exposure to fine particulate matter (PM2.5) is implicated in neurodevelopmental disorders including cognitive decline, attention-deficit/hyperactivity disorder, and autism spectrum disorder. However, the specific molecular mechanisms by which PM2.5 impacts neurodevelopment are poorly understood. Accordingly, in the present study, the role of protein kinase A (PKA)/cAMP response element binding protein (CREB)/brain-derived neurotrophic factor (BDNF) signaling in PM2.5-induced neurodevelopmental damage was investigated using primary cultured hippocampal neurons. When hippocampal neurons cultured for 3 days in vitro (DIV3) were exposed to PM2.5 for 24 h and 96 h, neuronal viability decreased by 18.8% and 32.7% respectively, percentage of TUNEL-positive neurons increased by 78.5% and 64.0% separately, caspase-9 expression increased, lower postsynaptic density and shorter active zones were observed by transmission electron microscopy, expression of synapse-related proteins including postsynaptic density-95 (PSD95), growth associated protein-43 (GAP43), and synaptophysin (SYP) were decreased, and the phosphorylation levels of PKA, CREB, and BDNF expression also decreased. However, the PM2.5-induced neuronal damage could be ameliorated or aggravated to varying degrees by up- or down-regulation of the PKA/CREB/BDNF signaling pathway, respectively. Our results indicate that PM2.5 exposure exerts neurodevelopmental toxicity as indicated by lower viability, apoptosis, and synaptic damage in primary cultured hippocampal neurons, and that the PKA/CREB/BDNF pathways could play a vital role in PM2.5-mediated neurodevelopmental toxicity.
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Affiliation(s)
- Jie Liu
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China
| | - Benke Liu
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China
| | - Ping Yuan
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China
| | - Li Cheng
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China
| | - Hong Sun
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China
| | - Jianxiong Gui
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China
| | - Yanan Pan
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China
| | - Dishu Huang
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China
| | - Hengsheng Chen
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China
| | - Li Jiang
- Department of Neurology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, 136# Zhongshan 2nd Road, Chongqing 400014, China.
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Wang Y, Li C, Zhang X, Kang X, Li Y, Zhang W, Chen Y, Liu Y, Wang W, Ge M, Du L. Exposure to PM2.5 aggravates Parkinson's disease via inhibition of autophagy and mitophagy pathway. Toxicology 2021; 456:152770. [PMID: 33823232 DOI: 10.1016/j.tox.2021.152770] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 03/22/2021] [Accepted: 03/31/2021] [Indexed: 12/11/2022]
Abstract
Extensive health studies had declared that exposure to particulate matter (PM) was closely associated with neurodegenerative diseases, i.e. Parkinson's disease (PD). Our aim was to clarify the potential molecular mechanism by which PM2.5 aggravated PD symptoms using in vitro and in vivo PD models. In this study, PC12 cells treated with rotenone (1 μM) and/or PM2.5 (50 μg/mL) for 4 days was used as the in vitro model. C57BL/6 J mice expored to PM2.5 (inhalation, 2.5 mg/kg) and rotenone (intraperitoneal injection, 30 mg/kg) for 28 days was used as the in vivo model. Rapamycin was used to promote the level of autophagy. The results showed that after exposure to PM2.5, the apoptosis of rotenone-treated PC12 cells were increased by increasing the ROS levels and decreasing the levels of mitochondrial membrane potential. In rotenone-treated PC12 cells, exposure to PM2.5 could decrease the expression levels of LC3II and Atg5, and increase the expression level of mTOR, suggesting that PM2.5 exposure inhibited autophagy. Furthermore, the mitophagy related genes, including PINK1 and Parkin, were decreased. At the same time, inhalation of PM2.5 could relieve the behavioral abnormalities of PD mouse induced by rotenone. The levels of inflammatory factors (TNF-α, IL-1β, and IL-6) were significantly increased. Inhalation of PM2.5 could induce the oxidative stress and apoptosis in the substantia nigra of PD mouse, as well as the key markers of autophagy and mitophagy were also changed, which was consistent with the cell model. Besides, rapamycin would relieve the damaging effect of PM2.5 by triggering autophagy and mitophagy in rotenone-induced PD models. These results indicated that exposure to PM2.5 aggravated the behavioral abnormalities of PD symptoms through increasing oxidative stress, decreasing autophagy and mitophagy, and inducing mitochondria-mediated neuronal apoptosis. These findings not only revealed the effects and mechanism of PM2.5 exposure on PD, but also provided fundamental data that can be exploited to develop environmental safety policies.
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Affiliation(s)
- Yueqi Wang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; Graduate School, University of Chinese Academy of Sciences, Beijing, 100190, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China
| | - Changjian Li
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; Graduate School, University of Chinese Academy of Sciences, Beijing, 100190, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China
| | - Xiaojie Zhang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; Graduate School, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiaoxuan Kang
- Laboratory of Molecular Iron Metabolism, College of Life Science, Hebei Normal University, Hebei, Shijiazhuang, 050024, China
| | - Yaru Li
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; Graduate School, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Wenyu Zhang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; Graduate School, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Yan Chen
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; Graduate School, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Yang Liu
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China
| | - Weigang Wang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
| | - Maofa Ge
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China
| | - Libo Du
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Center for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
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Nunez Y, Boehme AK, Weisskopf MG, Re DB, Navas-Acien A, van Donkelaar A, Martin RV, Kioumourtzoglou MA. Fine Particle Exposure and Clinical Aggravation in Neurodegenerative Diseases in New York State. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:27003. [PMID: 33555200 PMCID: PMC7869948 DOI: 10.1289/ehp7425] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 01/18/2021] [Accepted: 01/20/2021] [Indexed: 05/23/2023]
Abstract
BACKGROUND Adult-onset neurodegenerative diseases affect millions and negatively impact health care systems worldwide. Evidence suggests that air pollution may contribute to aggravation of neurodegeneration, but studies have been limited. OBJECTIVE We examined the potential association between long-term exposure to particulate matter ≤ 2.5 μ m in aerodynamic diameter [fine particulate matter (PM 2.5 )] and disease aggravation in Alzheimer's (AD) and Parkinson's (PD) diseases and amyotrophic lateral sclerosis (ALS), using first hospitalization as a surrogate of clinical aggravation. METHODS We used data from the New York Department of Health Statewide Planning and Research Cooperative System (SPARCS 2000-2014) to construct annual county counts of first hospitalizations with a diagnosis of AD, PD, or ALS (total, urbanicity-, sex-, and age-stratified). We used annual PM 2.5 concentrations estimated by a prediction model at a 1 -km 2 resolution, which we aggregated to population-weighted county averages to assign exposure to cases based on county of residence. We used outcome-specific mixed quasi-Poisson models with county-specific random intercepts to estimate rate ratios (RRs) for a 1-y PM 2.5 exposure. We allowed for nonlinear exposure-outcome relationships using penalized splines and accounted for potential confounders. RESULTS We found a positive nonlinear PM 2.5 - PD association that plateaued above 11 μ g / m 3 (RR = 1.09 , 95% CI: 1.04, 1.14 for a PM 2.5 increase from 8.1 to 10.4 μ g / m 3 ). We also found a linear PM 2.5 - ALS positive association (RR = 1.05 , 95% CI: 1.01, 1.09 per 1 - μ g / m 3 PM 2.5 increase), and suggestive evidence of an association with AD. We found effect modification by age for PD and ALS with a stronger positive association in patients < 70 years of age but found insufficient evidence of effect modification by sex or urbanization level for any of the outcomes. CONCLUSION Our findings suggest that annual increase in county-level PM 2.5 concentrations may contribute to clinical aggravation of PD and ALS. Importantly, the average annual PM 2.5 concentration in our study was 8.1 μ g / m 3 , below the current American national standards, suggesting the standards may not adequately protect the aging population. https://doi.org/10.1289/EHP7425.
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Affiliation(s)
- Yanelli Nunez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Amelia K. Boehme
- Department of Epidemiology and Neurology, Columbia University, New York, New York, USA
| | - Marc G. Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Diane B. Re
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Aaron van Donkelaar
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Randall V. Martin
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Marianthi-Anna Kioumourtzoglou
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
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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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Ho HC, Fong KNK, Chan TC, Shi Y. The associations between social, built and geophysical environment and age-specific dementia mortality among older adults in a high-density Asian city. Int J Health Geogr 2020; 19:53. [PMID: 33276778 PMCID: PMC7716506 DOI: 10.1186/s12942-020-00252-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 11/25/2020] [Indexed: 12/26/2022] Open
Abstract
Background Although socio-environmental factors which may affect dementia have widely been studied, the mortality of dementia and socio-environmental relationships among older adults have seldom been discussed. Method A retrospective, observational study based on territory-wide register-based data was conducted to evaluate the relationships of four individual-level social measures, two community-level social measures, six short-term (temporally varying) environmental measures, and four long-term (spatially varying) environmental measures with dementia mortality among older adults in a high-density Asian city (Hong Kong), for the following decedents: (1) all deaths: age >= 65, (2) “old-old”: age > = 85, (3) “mid-old”: aged 75–84, and (4) “young-old”: aged 65–74. Results This study identified 5438 deaths (3771 old-old; 1439 mid-old; 228 young-old) from dementia out of 228,600 all-cause deaths among older adults in Hong Kong between 2007 and 2014. Generally, regional air pollution, being unmarried or female, older age, and daily O3 were associated with higher dementia mortality, while more urban compactness and greenness were linked to lower dementia mortality among older adults. Specifically, being unmarried and the age effect were associated with higher dementia mortality among the “old-old”, “mid-old” and “young-old”. Regional air pollution was linked to increased dementia mortality, while urban compactness and greenness were associated with lower dementia mortality among the “old-old” and “mid-old”. Higher daily O3 had higher dementia mortality, while districts with a greater percentage of residents whose native language is not Cantonese were linked to lower dementia mortality among the “old-old”. Economic inactivity was associated with increased dementia mortality among the “young-old”. Gender effect varied by age. Conclusion The difference in strengths of association of various factors with dementia mortality among different age groups implies the need for a comprehensive framework for community health planning. In particular, strategies for air quality control, usage of greenspace and social space, and activity engagement to reduce vulnerability at all ages are warranted.
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Affiliation(s)
- Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China.
| | - Kenneth N K Fong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan.
| | - Yuan Shi
- Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong, China
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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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Wang M, Tan J, Zhou J, Yi B, Huang Z. Farnesoid X receptor mediates hepatic steatosis induced by PM 2.5. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:34412-34420. [PMID: 32557026 DOI: 10.1007/s11356-020-09676-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 06/09/2020] [Indexed: 06/11/2023]
Abstract
Ambient particulate matter (PM) newly has been regarded as a conceivable hazard for public health. A large number of studies have described that PM, exceptionally PM2.5, is correlated with respiratory, cardiovascular, and metabolic diseases, etc. PM2.5-induced hepatocyte steatosis previously has been uncovered both in cellular and murine models. Nevertheless, less is known about the underlying mechanism. Here, we found that PM2.5 could cause the downregulation of farnesoid X receptor (FXR), a key transcription factor for lipid metabolism. FXR could regulate the accumulation of lipid droplets induced by PM2.5 in vitro. Moreover, FXR-/- mice were exposed to PM2.5 for 2 months to investigate the role of FXR in pathogenesis of PM2.5-induced hepatic steatosis in vivo. The results showed that exposure of wild-type (WT) mice to PM2.5 caused mild liver steatosis compared with the mice exposure to filtered air (FA). Furthermore, the content of triglyceride (TG) and total cholesterol (TC) was elevated in WT mice liver triggered by the inhalation of PM2.5. However, there was no statistical difference in TG and TC content between FXR-/- mice with and without PM2.5 exposure. Overall, our finding suggested FXR mediated PM2.5-induced hepatic steatosis.
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Affiliation(s)
- Mengyao Wang
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Jieqiong Tan
- Center for Medical Genetics, Life Science School, Central South University, Changsha, 410013, China
| | - Ji Zhou
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China
| | - Bin Yi
- Department of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Zhijun Huang
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China.
- Department of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China.
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