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Chen S, Liu D, Huang L, Guo C, Gao X, Xu Z, Yang Z, Chen Y, Li M, Yang J. Global associations between long-term exposure to PM 2.5 constituents and health: A systematic review and meta-analysis of cohort studies. JOURNAL OF HAZARDOUS MATERIALS 2024; 474:134715. [PMID: 38838524 DOI: 10.1016/j.jhazmat.2024.134715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 05/10/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024]
Abstract
Existing studies on the most impactful component remain controversial, hindering the optimization of future air quality standards that concerns particle composition. We aimed to summarize the health risk associated with PM2.5 components and identify those components with the greatest health risk. We performed a meta-analysis to quantify the combined health effects of PM2.5 components, and used the meta-smoothing to produce the pooled concentration-response (C-R) curves. Out of 8954 initial articles, 80 cohort studies met the inclusion criteria, including a total of 198.08 million population. The pooled C-R curves demonstrated approximately J-shaped association between total mortality and exposure to BC, and NO3-, but U-shaped and inverted U-shaped relationship withSO42- and OC, respectively. In addition, this study found that exposure to various elements, including BC,SO42-NO3-, NH4+, Zn, Ni, and Si, were significantly associated with an increased risk of total mortality, with Ni presenting the largest estimate. And exposure to NO3-, Zn, and Si was positively associated with an increased risk of respiratory mortality, while exposure to BC, SO42-, and NO3- showed a positive association with risk of cardiovascular mortality. For health outcome of morbidity, BC was notably associated with a higher incidence of asthma, type 2 diabetes and stroke. Subgroup analysis revealed a higher susceptibility to PM2.5 components in Asia compared to Europe and North America, and females showed a higher vulnerability. Given the significant health effects of PM2.5 components, governments are advised to introduce them in regional monitoring and air quality control guidelines. ENVIRONMENTAL IMPLICATION: PM2.5 is a complex mixture of chemical components from various sources, and each component has unique physicochemical properties and uncertain toxicity, posing significant threat to public health. This study systematically reviewed cohort studies on the association between long-term exposure to 13 PM2.5 components and the risk of morbidity and mortality. And we applied the meta-smoothing approach to establish the pooled concentration-response associations between PM2.5 components and mortality globally. Our findings will provide strong support for PM2.5 components monitoring and the improvement of air quality-related regulations. This will aid in helping to enhance health intervention strategies and mitigating public exposure to detrimental particulate matter.
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Affiliation(s)
- Sujuan Chen
- The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, China; School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Di Liu
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Lin Huang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Cui Guo
- Department of Urban Planning and Design, Faculty of Architecture, the University of Hong Kong, Hong Kong SAR
| | - Xiaoke Gao
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Zhou Yang
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Yu Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Mengmeng Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jun Yang
- The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, China; School of Public Health, Guangzhou Medical University, Guangzhou 511436, China.
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Wu QZ, Zeng HX, Andersson J, Oudin A, Kanninen KM, Xu MW, Qin SJ, Zeng QG, Zhao B, Zheng M, Jin N, Chou WC, Jalava P, Dong GH, Zeng XW. Long-term exposure to major constituents of fine particulate matter and neurodegenerative diseases: A population-based survey in the Pearl River Delta Region, China. JOURNAL OF HAZARDOUS MATERIALS 2024; 470:134161. [PMID: 38569338 DOI: 10.1016/j.jhazmat.2024.134161] [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: 12/11/2023] [Revised: 03/18/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND Exposure to PM2.5 has been linked to neurodegenerative diseases, with limited understanding of constituent-specific contributions. OBJECTIVES To explore the associations between long-term exposure to PM2.5 constituents and neurodegenerative diseases. METHODS We recruited 148,274 individuals aged ≥ 60 from four cities in the Pearl River Delta region, China (2020 to 2021). We calculated twenty-year average air pollutant concentrations (PM2.5 mass, black carbon (BC), organic matter (OM), ammonium (NH4+), nitrate (NO3-) and sulfate (SO42-)) at the individuals' home addresses. Neurodegenerative diseases were determined by self-reported doctor-diagnosed Alzheimer's disease (AD) and Parkinson's disease (PD). Generalized linear mixed models were employed to explore associations between pollutants and neurodegenerative disease prevalence. RESULTS PM2.5 and all five constituents were significantly associated with a higher prevalence of AD and PD. The observed associations generally exhibited a non-linear pattern. For example, compared with the lowest quartile, higher quartiles of BC were associated with greater odds for AD prevalence (i.e., the adjusted odds ratios were 1.81; 95% CI, 1.45-2.27; 1.78; 95% CI, 1.37-2.32; and 1.99; 95% CI, 1.54-2.57 for the second, third, and fourth quartiles, respectively). CONCLUSIONS Long-term exposure to PM2.5 and its constituents, particularly combustion-related BC, OM, and SO42-, was significantly associated with higher prevalence of AD and PD in Chinese individuals. ENVIRONMENTAL IMPLICATION PM2.5 is a routinely regulated mixture of multiple hazardous constituents that can lead to diverse adverse health outcomes. However, current evidence on the specific contributions of PM2.5 constituents to health effects is scarce. This study firstly investigated the association between PM2.5 constituents and neurodegenerative diseases in the moderately to highly polluted Pearl River Delta region in China, and identified hazardous constituents within PM2.5 that have significant impacts. This study provides important implications for the development of targeted PM2.5 prevention and control policies to reduce specific hazardous PM2.5 constituents.
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Affiliation(s)
- Qi-Zhen Wu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, 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
| | - Hui-Xian Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, 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
| | | | - Anna Oudin
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Katja M Kanninen
- A.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Mu-Wu Xu
- Department of Epidemiology and Environment Health, School of Public and Health Professions, University at Buffalo, Buffalo, 14214, USA
| | - Shuang-Jian Qin
- Joint International Research Laboratory of Environment and Health, Ministry of Education, 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
| | - Qing-Guo Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, 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
| | - Bin Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Mei Zheng
- SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
| | - Nanxiang Jin
- A.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Wei-Chun Chou
- Center for Environmental and Human Toxicology, Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32611, United States
| | - Pasi Jalava
- Department of Environmental and Biological Science, University of Eastern Finland, Kuopio, Finland
| | - Guang-Hui Dong
- Joint International Research Laboratory of Environment and Health, Ministry of Education, 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
| | - Xiao-Wen Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, 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.
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Wu YT, Kitwiroon N, Beevers S, Barratt B, Brayne C, Cerin E, Franklin R, Houlden V, Woods B, Zied Abozied E, Prina M, Matthews F. The longitudinal associations between ambient air pollution exposure and dementia in the UK: results from the cognitive function and ageing study II and Wales. BMC Public Health 2024; 24:1233. [PMID: 38702710 PMCID: PMC11069162 DOI: 10.1186/s12889-024-18723-3] [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] [Received: 11/25/2023] [Accepted: 04/28/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Air pollution has been recognised as a potential risk factor for dementia. Yet recent epidemiological research shows mixed evidence. The aim of this study is to investigate the longitudinal associations between ambient air pollution exposure and dementia in older people across five urban and rural areas in the UK. METHODS This study was based on two population-based cohort studies of 11329 people aged ≥ 65 in the Cognitive Function and Ageing Study II (2008-2011) and Wales (2011-2013). An algorithmic diagnosis method was used to identify dementia cases. Annual concentrations of four air pollutants (NO2, O3, PM10, PM2.5) were modelled for the year 2012 and linked via the participants' postcodes. Multistate modelling was used to examine the effects of exposure to air pollutants on incident dementia incorporating death and adjusting for sociodemographic factors and area deprivation. A random-effect meta-analysis was carried out to summarise results from the current and nine existing cohort studies. RESULTS Higher exposure levels of NO2 (HR: 1.04; 95% CI: 0.94, 1.14), O3 (HR: 0.90; 95% CI: 0.70, 1.15), PM10 (HR: 1.17; 95% CI: 0.86, 1.58), PM2.5 (HR: 1.41; 95% CI: 0.71, 2.79) were not strongly associated with dementia in the two UK-based cohorts. Inconsistent directions and strengths of the associations were observed across the two cohorts, five areas, and nine existing studies. CONCLUSIONS In contrast to the literature, this study did not find clear associations between air pollution and dementia. Future research needs to investigate how methodological and contextual factors can affect evidence in this field and clarity the influence of air pollution exposure on cognitive health over the lifecourse.
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Affiliation(s)
- Yu-Tzu Wu
- Population Health Sciences Institute, Faculty of Medical Sciences, Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK.
| | - Nutthida Kitwiroon
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Sean Beevers
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Benjamin Barratt
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Ester Cerin
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Rachel Franklin
- Centre for Urban and Regional Development Studies (CURDS), School of Geography, Politics and Sociology, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Bob Woods
- Dementia Services Development Centre, Bangor University, Bangor, Gwynedd, UK
| | - Eman Zied Abozied
- Population Health Sciences Institute, Faculty of Medical Sciences, Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK
| | - Matthew Prina
- Population Health Sciences Institute, Faculty of Medical Sciences, Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK
| | - Fiona Matthews
- Population Health Sciences Institute, Faculty of Medical Sciences, Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK
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Li C, Chen H, Gu Y, Chen W, Liu M, Lei Q, Li Y, Liang X, Wei B, Huang D, Liu S, Su L, Zeng X, Wang L. Causal effects of PM 2.5 exposure on neuropsychiatric disorders and the mediation via gut microbiota: A Mendelian randomization study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 275:116257. [PMID: 38564871 DOI: 10.1016/j.ecoenv.2024.116257] [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: 12/20/2023] [Revised: 03/03/2024] [Accepted: 03/21/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Growing evidence has revealed the impacts of exposure to fine particulate matter (PM2.5) and dysbiosis of gut microbiota on neuropsychiatric disorders, but the causal inference remains controversial due to residual confounders in observational studies. METHODS This study aimed to examine the causal effects of exposure to PM2.5 on 4 major neuropsychiatric disorders (number of cases = 18,381 for autism spectrum disorder [ASD], 38,691 for attention deficit hyperactivity disorder [ADHD], 67,390 for schizophrenia, and 21,982 cases for Alzheimer's disease [AD]), and the mediation pathway through gut microbiota. Two-sample Mendelian randomization (MR) analyses were performed, in which genetic instruments were identified from genome-wide association studies (GWASs). The included GWASs were available from (1) MRC Integrative Epidemiology Unit (MRC-IEU) for PM2.5, PMcoarse, PM10, and NOX; (2) the Psychiatric Genomics Consortium (PGC) for ASD, ADHD, and schizophrenia; (3) MRC-IEU for AD; and (4) MiBioGen for gut microbiota. Multivariable MR analyses were conducted to adjust for exposure to NOX, PMcoarse, and PM10. We also examined the mediation effects of gut microbiota in the associations between PM2.5 exposure levels and neuropsychiatric disorders, using two-step MR analyses. RESULTS Each 1 standard deviation (1.06 ug/m3) increment in PM2.5 concentrations was associated with elevated risk of ASD (odds ratio [OR] 1.42, 95% confidence interval [CI] 1.00-2.02), ADHD (1.51, 1.15-1.98), schizophrenia (1.47, 1.15-1.87), and AD (1.57, 1.16-2.12). For all the 4 neurodevelopmental disorders, the results were robust under various sensitivity analyses, while the MR-Egger method yielded non-significant outcomes. The associations remained significant for all the 4 neuropsychiatric disorders after adjusting for PMcoarse, while non-significant after adjusting for NOX and PM10. The effects of PM2.5 exposure on ADHD and schizophrenia were partially mediated by Lachnospiraceae and Barnesiella, with the proportions ranging from 8.31% to 15.77%. CONCLUSIONS This study suggested that exposure to PM2.5 would increase the risk of neuropsychiatric disorders, partially by influencing the profile of gut microbiota. Comprehensive regulations on air pollutants are needed to help prevent neuropsychiatric disorders.
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Affiliation(s)
- Chanhua Li
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Hao Chen
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Ye Gu
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Wanling Chen
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Meiliang Liu
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Qinggui Lei
- The Eighth People's Hospital of Nanning, Nanning, Guangxi 530001, China
| | - Yujun Li
- Nanning Children's Rehabilitation Center, Nanning, Guangxi 530005, China
| | - Xiaomei Liang
- Nanning Children's Rehabilitation Center, Nanning, Guangxi 530005, China
| | - Binyuan Wei
- Nanning Children's Rehabilitation Center, Nanning, Guangxi 530005, China
| | - Dongping Huang
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Shun Liu
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Li Su
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Xiaoyun Zeng
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Lijun Wang
- School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China.
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5
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Tian F, Qian Z, Zhang Z, Liu Y, Wu G, Wang C, McMillin SE, Bingheim E, Lin H. Air pollution, APOE genotype and risk of dementia among individuals with cardiovascular diseases: A population-based longitudinal study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 347:123758. [PMID: 38492747 DOI: 10.1016/j.envpol.2024.123758] [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: 09/09/2023] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 03/18/2024]
Abstract
Individuals with cardiovascular disease (CVD) are particularly vulnerable to dementia, but it remains unclear whether air pollution exposure links with higher risk of dementia among those with CVD. The data were derived from the UK Biobank study (UKB). Dementia-free participants with CVD at baseline were included. Air pollution exposure was assessed through land use regression models, including particulate matter (PM2.5, PM2.5-10, and PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOX). A Cox proportional hazards model was used to investigate the associations between air pollution exposure and incident dementia among individuals with CVD. Air pollution was associated with dementia among individuals with CVD, and the hazard ratios of dementia associated with each interquartile range (IQR) μg/m3 increase in air pollution were 1.07 (95% CI: 1.02, 1.12) for PM2.5, 1.10 (95% CI: 1.04, 1.15) for PM10, 1.08 (95% CI: 1.03, 1.14) for NO2 and 1.05 (95% CI: 1.00, 1.09) for NOx. Associations between air pollution and all-cause dementia were found to be significant among individuals with hypertension. Adverse effects of air pollution were also observed for Alzheimer's dementia (AD) and vascular dementia (VaD), with a higher effect for AD. Observed associations remained similar in subgroups of APOE ε4 carriers and noncarriers, although there was a higher risk difference across different air pollution concentration among these individuals carrying APOE ε4. Air pollution emerges as a critical risk factor for dementia among individuals with CVD, regardless of genetic susceptibility indicated by the APOE genotype. Notably, individuals with hypertension might be susceptible to the adverse effects of air pollution, leading to a higher incidence of dementia. Understanding these impacts on dementia among individuals with CVD may promote better targeted prevention and clinical management strategies.
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Affiliation(s)
- Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Gan Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | | | - Elizabeth Bingheim
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Liang X, Di F, Wei H, Liu N, Chen C, Wang X, Sun M, Zhang M, Li M, Zhang J, Zhang S. Functional identification of long non-coding RNAs induced by PM 2.5 in microglia through microarray analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 273:116136. [PMID: 38387142 DOI: 10.1016/j.ecoenv.2024.116136] [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: 11/21/2023] [Revised: 02/13/2024] [Accepted: 02/19/2024] [Indexed: 02/24/2024]
Abstract
As a dominating air pollutant, atmospheric fine particulate matter within 2.5 μm in diameter (PM2.5) has attracted increasing attention from the researchers all over the world, which will lead to various adverse effects on the central nervous system (CNS), yet the potential mechanism is unclear. In this study, the microglia (BV2 cell line) were exposed to different concentrations of PM2.5 (5, 10 and 20 μg/cm2) for 24 h. It was found that PM2.5 could result in adverse effects on microglia such as decreased cell viability, structural damage and even cell death. And it was reported that long non-coding RNAs (lncRNAs) could participate in multitudinous neurological diseases. Therefore, the microarray analysis was conducted in order to disclose the underlying neurotoxicity mechanism of PM2.5 by ascertaining the differentially expressed lncRNAs (DElncRNAs). The consequences indicated that the DElncRNAs were enriched in various biological pathways, including ferroptosis, IL-17 signaling pathway and NOD-like receptor signaling pathway. Moreover, the cis- and trans-regulated mRNAs by DElncRNAs as well as the corresponding transcriptional factors (TFs) were observed, such as CEBPA, MYC, MEIS1 and KLF4. In summary, our study supplies some candidate libraries and potential preventive target against PM2.5-induced toxicity through targeting lncRNAs. Furthermore, the post-transcriptional regulation will contribute to the future research on PM2.5-induced neurotoxicity.
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Affiliation(s)
- Xue Liang
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China.
| | - Fanglin Di
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Haiyun Wei
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Natong Liu
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Chao Chen
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Xinzhi Wang
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Meng Sun
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong 250014, China
| | - Min Zhang
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Meng Li
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong 250014, China
| | - Jie Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China; Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Shuping Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China; Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
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Zhang S, Cao H, Chen K, Gao T, Zhao H, Zheng C, Wang T, Zeng P, Wang K. Joint Exposure to Multiple Air Pollutants, Genetic Susceptibility, and Incident Dementia: A Prospective Analysis in the UK Biobank Cohort. Int J Public Health 2024; 69:1606868. [PMID: 38426188 PMCID: PMC10901982 DOI: 10.3389/ijph.2024.1606868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
Objectives: This study aimed to evaluate the joint effects of multiple air pollutants including PM2.5, PM10, NO2, and NOx with dementia and examined the modifying effects of genetic susceptibility. Methods: This study included 220,963 UK Biobank participants without dementia at baseline. Weighted air pollution score reflecting the joint exposure to multiple air pollutants were constructed by cross-validation analyses, and inverse-variance weighted meta-analyses were performed to create a pooled effect. The modifying effect of genetic susceptibility on air pollution score was assessed by genetic risk score and APOE ε4 genotype. Results: The HR (95% CI) of dementia for per interquartile range increase of air pollution score was 1.13 (1.07∼1.18). Compared with the lowest quartile (Q1) of air pollution score, the HR (95% CI) of Q4 was 1.26 (1.13∼1.40) (P trend = 2.17 × 10-5). Participants with high air pollution score and high genetic susceptibility had higher risk of dementia compared to those with low air pollution score and low genetic susceptibility. Conclusion: Our study provides evidence that joint exposure to multiple air pollutants substantially increases the risk of dementia, especially among individuals with high genetic susceptibility.
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Affiliation(s)
- Shuo Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Hongyan Cao
- Division of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Keying Chen
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Tongyu Gao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Huashuo Zhao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Chu Zheng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ke Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
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Calderón-Garcidueñas L, Stommel EW, Torres-Jardón R, Hernández-Luna J, Aiello-Mora M, González-Maciel A, Reynoso-Robles R, Pérez-Guillé B, Silva-Pereyra HG, Tehuacanero-Cuapa S, Rodríguez-Gómez A, Lachmann I, Galaz-Montoya C, Doty RL, Roy A, Mukherjee PS. Alzheimer and Parkinson diseases, frontotemporal lobar degeneration and amyotrophic lateral sclerosis overlapping neuropathology start in the first two decades of life in pollution exposed urbanites and brain ultrafine particulate matter and industrial nanoparticles, including Fe, Ti, Al, V, Ni, Hg, Co, Cu, Zn, Ag, Pt, Ce, La, Pr and W are key players. Metropolitan Mexico City health crisis is in progress. Front Hum Neurosci 2024; 17:1297467. [PMID: 38283093 PMCID: PMC10811680 DOI: 10.3389/fnhum.2023.1297467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/08/2023] [Indexed: 01/30/2024] Open
Abstract
The neuropathological hallmarks of Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal lobar degeneration (FTLD), and amyotrophic lateral sclerosis (ALS) are present in urban children exposed to fine particulate matter (PM2.5), combustion and friction ultrafine PM (UFPM), and industrial nanoparticles (NPs). Metropolitan Mexico City (MMC) forensic autopsies strongly suggest that anthropogenic UFPM and industrial NPs reach the brain through the nasal/olfactory, lung, gastrointestinal tract, skin, and placental barriers. Diesel-heavy unregulated vehicles are a key UFPM source for 21.8 million MMC residents. We found that hyperphosphorylated tau, beta amyloid1-42, α-synuclein, and TAR DNA-binding protein-43 were associated with NPs in 186 forensic autopsies (mean age 27.45 ± 11.89 years). The neurovascular unit is an early NPs anatomical target, and the first two decades of life are critical: 100% of 57 children aged 14.8 ± 5.2 years had AD pathology; 25 (43.9%) AD+TDP-43; 11 (19.3%) AD + PD + TDP-43; and 2 (3.56%) AD +PD. Fe, Ti, Hg, Ni, Co, Cu, Zn, Cd, Al, Mg, Ag, Ce, La, Pr, W, Ca, Cl, K, Si, S, Na, and C NPs are seen in frontal and temporal lobes, olfactory bulb, caudate, substantia nigra, locus coeruleus, medulla, cerebellum, and/or motor cortical and spinal regions. Endothelial, neuronal, and glial damages are extensive, with NPs in mitochondria, rough endoplasmic reticulum, the Golgi apparatus, and lysosomes. Autophagy, cell and nuclear membrane damage, disruption of nuclear pores and heterochromatin, and cell death are present. Metals associated with abrasion and deterioration of automobile catalysts and electronic waste and rare earth elements, i.e., lanthanum, cerium, and praseodymium, are entering young brains. Exposure to environmental UFPM and industrial NPs in the first two decades of life are prime candidates for initiating the early stages of fatal neurodegenerative diseases. MMC children and young adults-surrogates for children in polluted areas around the world-exhibit early AD, PD, FTLD, and ALS neuropathological hallmarks forecasting serious health, social, economic, academic, and judicial societal detrimental impact. Neurodegeneration prevention should be a public health priority as the problem of human exposure to particle pollution is solvable. We are knowledgeable of the main emission sources and the technological options to control them. What are we waiting for?
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Affiliation(s)
| | - Elijah W. Stommel
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Ricardo Torres-Jardón
- Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Mario Aiello-Mora
- Otorrinolaryngology Department, Instituto Nacional de Cardiología, Mexico City, Mexico
| | | | | | | | | | | | | | | | | | - Richard L. Doty
- Perelman School of Medicine, Smell and Taste Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Anik Roy
- Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata, India
| | - Partha S. Mukherjee
- Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata, India
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Bachand AM, Dell LD. Can Incorrect Analysis of Time-Dependent Exposure Explain Associations between PM2.5 Exposure and Risk of Dementia? J Alzheimers Dis 2024; 97:1931-1937. [PMID: 38339933 DOI: 10.3233/jad-231046] [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: 02/12/2024]
Abstract
Background Epidemiological studies have reported positive associations between long-term exposure to particulate matter of 2.5 microns or less in diameter (PM2.5) and risk of Alzheimer's disease and other clinical dementia. Many of these studies have analyzed data using Cox Proportional Hazards (PH) regression, which estimates a hazard ratio (HR) for the treatment (in this case, exposure) effect on the time-to-event outcome while adjusting for influential covariates. PM2.5 levels vary over time. As air quality standards for PM2.5 have become more stringent over time, average outdoor PM2.5 levels have decreased substantially. Objective Investigate whether a Cox PH analysis that does not properly account for exposure that varies over time could produce a biased HR of similar magnitude to the HRs reported in recent epidemiological studies of PM2.5 and dementia risk. Methods Simulation analysis. Results We found that the biased HR can affect statistical analyses that consider exposure levels at event times only, especially if PM2.5 levels decreased consistently over time. Furthermore, the direction of such bias is away from the null and of a magnitude that is consistent with the reported estimates of dementia risk in several epidemiological studies of PM2.5 exposure (HR≈1.2 to 2.0). Conclusions This bias can be avoided by correctly assigning exposure to study subjects throughout the entire follow-up period. We recommend that investigators provide a detailed description of how time-dependent exposure variables were accounted for in their Cox PH analyses when they report their results.
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Blanco MN, Shaffer RM, Li G, Adar SD, Carone M, Szpiro AA, Kaufman JD, Larson TV, Hajat A, Larson EB, Crane PK, Sheppard L. Traffic-related air pollution and dementia incidence in the Adult Changes in Thought Study. ENVIRONMENT INTERNATIONAL 2024; 183:108418. [PMID: 38185046 PMCID: PMC10873482 DOI: 10.1016/j.envint.2024.108418] [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: 10/13/2023] [Revised: 12/22/2023] [Accepted: 01/02/2024] [Indexed: 01/09/2024]
Abstract
BACKGROUND While epidemiologic evidence links higher levels of exposure to fine particulate matter (PM2.5) to decreased cognitive function, fewer studies have investigated links with traffic-related air pollution (TRAP), and none have examined ultrafine particles (UFP, ≤100 nm) and late-life dementia incidence. OBJECTIVE To evaluate associations between TRAP exposures (UFP, black carbon [BC], and nitrogen dioxide [NO2]) and late-life dementia incidence. METHODS We ascertained dementia incidence in the Seattle-based Adult Changes in Thought (ACT) prospective cohort study (beginning in 1994) and assessed ten-year average TRAP exposures for each participant based on prediction models derived from an extensive mobile monitoring campaign. We applied Cox proportional hazards models to investigate TRAP exposure and dementia incidence using age as the time axis and further adjusting for sex, self-reported race, calendar year, education, socioeconomic status, PM2.5, and APOE genotype. We ran sensitivity analyses where we did not adjust for PM2.5 and other sensitivity and secondary analyses where we adjusted for multiple pollutants, applied alternative exposure models (including total and size-specific UFP), modified the adjustment covariates, used calendar year as the time axis, assessed different exposure periods, dementia subtypes, and others. RESULTS We identified 1,041 incident all-cause dementia cases in 4,283 participants over 37,102 person-years of follow-up. We did not find evidence of a greater hazard of late-life dementia incidence with elevated levels of long-term TRAP exposures. The estimated hazard ratio of all-cause dementia was 0.98 (95 % CI: 0.92-1.05) for every 2000 pt/cm3 increment in UFP, 0.95 (0.89-1.01) for every 100 ng/m3 increment in BC, and 0.96 (0.91-1.02) for every 2 ppb increment in NO2. These findings were consistent across sensitivity and secondary analyses. DISCUSSION We did not find evidence of a greater hazard of late-life dementia risk with elevated long-term TRAP exposures in this population-based prospective cohort study.
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Affiliation(s)
- Magali N Blanco
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.
| | - Rachel M Shaffer
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Ge Li
- VA Northwest Network Mental Illness Research, Education, and Clinical Center, Virginia Puget Sound Health Care System, Seattle, WA, USA; Geriatric Research, Education, and Clinical Center, Virginia Puget Sound Health Care System, Seattle, WA, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Sara D Adar
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Marco Carone
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Adam A Szpiro
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA
| | - Timothy V Larson
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA; Department of Civil & Environmental Engineering, University of Washington, Seattle, WA, USA
| | - Anjum Hajat
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Lianne Sheppard
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA; Department of Biostatistics, University of Washington, Seattle, WA, USA
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Duchesne J, Carrière I, Artero S, Brickman AM, Maller J, Meslin C, Chen J, Vienneau D, de Hoogh K, Jacquemin B, Berr C, Mortamais M. Ambient Air Pollution Exposure and Cerebral White Matter Hyperintensities in Older Adults: A Cross-Sectional Analysis in the Three-City Montpellier Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:107013. [PMID: 37878794 PMCID: PMC10599635 DOI: 10.1289/ehp12231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 09/28/2023] [Accepted: 10/04/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Growing epidemiological evidence suggests an adverse relationship between exposure to air pollutants and cognitive health, and this could be related to the effect of air pollution on vascular health. OBJECTIVE We aim to evaluate the association between air pollution exposure and a magnetic resonance imaging (MRI) marker of cerebral vascular burden, white matter hyperintensities (WMH). METHODS This cross-sectional analysis used data from the French Three-City Montpellier study. Randomly selected participants 65-80 years of age underwent an MRI examination to estimate their total and regional cerebral WMH volumes. Exposure to fine particulate matter (PM 2.5 ), nitrogen dioxide (NO 2 ), and black carbon (BC) at the participants' residential address during the 5 years before the MRI examination was estimated with land use regression models. Multinomial and binomial logistic regression assessed the associations between exposure to each of the three pollutants and categories of total and lobar WMH volumes. RESULTS Participants' (n = 582 ) median age at MRI was 70.7 years [interquartile range (IQR): 6.1], and 52% (n = 300 ) were women. Median exposure to air pollution over the 5 years before MRI acquisition was 24.3 (IQR: 1.7) μ g / m 3 for PM 2.5 , 48.9 (14.6) μ g / m 3 for NO 2 , and 2.66 (0.60) 10 - 5 / m for BC. We found no significant association between exposure to the three air pollutants and total WMH volume. We found that PM 2.5 exposure was significantly associated with higher risk of temporal lobe WMH burden [odds ratio (OR) for an IQR increase = 1.82 (95% confidence interval: 1.41, 2.36) for the second volume tercile, 2.04 (1.59, 2.61) for the third volume tercile, reference: first volume tercile]. Associations for other regional WMH volumes were inconsistent. CONCLUSION In this population-based study in older adults, PM 2.5 exposure was associated with increased risk of high WMH volume in the temporal lobe, strengthening the evidence on PM 2.5 adverse effect on the brain. Further studies looking at different markers of cerebrovascular damage are still needed to document the potential vascular effects of air pollution. https://doi.org/10.1289/EHP12231.
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Affiliation(s)
- Jeanne Duchesne
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - Isabelle Carrière
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - Sylvaine Artero
- Institute of Functional Genomics (IGF), University of Montpellier, CNRS, Inserm, Montpellier, France
| | - Adam M. Brickman
- Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York, USA
| | - Jerome Maller
- Monash Alfred Psychiatry Research Centre, Melbourne, Victoria, Australia
- General Electric Healthcare, Richmond, Victoria, Australia
| | - Chantal Meslin
- Centre for Mental Health Research, Australian National University, Canberra, Australia
| | - Jie Chen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Bénédicte Jacquemin
- Irset Institut de Recherche en Santé, Environnement et Travail, UMR-S 1085, Inserm, University of Rennes, EHESP, Rennes, France
| | - Claudine Berr
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - Marion Mortamais
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
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12
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Zhang B, Langa KM, Weuve J, D’Souza J, Szpiro A, Faul J, Mendes de Leon C, Kaufman JD, Lisabeth L, Hirth RA, Adar SD. Hypertension and Stroke as Mediators of Air Pollution Exposure and Incident Dementia. JAMA Netw Open 2023; 6:e2333470. [PMID: 37728927 PMCID: PMC10512106 DOI: 10.1001/jamanetworkopen.2023.33470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 08/04/2023] [Indexed: 09/22/2023] Open
Abstract
Importance Fine particulate matter air pollution (PM2.5) has been consistently associated with cardiovascular disease, which, in turn, is associated with an increased risk of dementia. As such, vascular dysfunction might be a mechanism by which PM2.5 mediates dementia risk, yet few prior epidemiological studies have examined this potential mechanism. Objective To investigate whether hypertension and stroke serve as mediators and modifiers of the association of PM2.5 with incident dementia. Design, Setting, and Participants As part of the Environmental Predictors of Cognitive Health and Aging (EPOCH) Project, this cohort study used biennial survey data collected between 1998 and 2016 from respondents of the Health and Retirement Study (HRS), a nationally representative, population-based, cohort in the US. Eligible participants were those over 50 years of age who were free of dementia at baseline and had complete exposure, mediator, outcome, and demographic data from the HRS. Data analysis was conducted from August to November 2022. Exposures Exposure to PM2.5, calculated for the 10 years preceding each person's baseline examination according to residential histories and spatiotemporal models. Main Outcomes and Measures Incident dementia was identified using a validated algorithm based on cognitive testing and informant reports. The 4-way decomposition causal mediation analysis method was used to quantify the degree to which hypertension and stroke mediated or modified the association of PM2.5 with incident dementia after adjustment for individual-level and area-level covariates. Results Among 27 857 participants (mean [SD] age at baseline, 61 [10] years; 15 747 female participants [56.5%]; 19 249 non-Hispanic White participants [69.1%]), 4105 (14.7%) developed dementia during the follow-up period (mean [SD], 10.2 [5.6] years). Among participants with dementia, 2204 (53.7%) had a history of hypertension at baseline and 386 (9.4%) received a diagnosis of hypertension during the follow up. A total of 378 participants (9.2%) had a history of stroke at baseline and 673 (16.4%) developed stroke over the follow-up period. The IQR of baseline PM2.5 concentrations was 10.9 to 14.9 μg/m3. In fully adjusted models, higher levels of PM2.5 (per IQR) were not associated with increased risk of incident dementia (HR, 1.04; 95% CI, 0.98 to 1.11). Although there were positive associations of prevalent stroke (HR, 1.67; 95% CI, 1.48 to 1.88) and hypertension (HR, 1.15; 95% CI, 1.08 to 1.23) with incident dementia compared with those free of stroke and hypertension during follow-up, there was no statistically significant association of PM2.5 with stroke (odds ratio per IQR increment in PM2.5, 1.08; 95%CI, 0.91 to 1.29) and no evidence of an association of PM2.5 with hypertension (odds ratio per IQR increment in PM2.5, 0.99; 95%CI, 0.92 to 1.07). Concordantly, there was no evidence that hypertension or stroke acted as mediators or modifiers of the association of PM2.5 with incident dementia. Although the nonmediated interaction between PM2.5 and hypertension accounted for 39.2% of the total excess association (95% CI, -138.5% to 216.9%), the findings were not statistically significant. Conclusions and Relevance These findings suggest that although hypertension may enhance the susceptibility of individuals to air pollution, hypertension and stroke do not significantly mediate or modify the association of PM2.5 with dementia, indicating the need to investigate other pathways and potential mediators of risk.
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Affiliation(s)
- Boya Zhang
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Kenneth M. Langa
- Institute for Social Research, University of Michigan, Ann Arbor
- University of Michigan Medical School, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Jennifer D’Souza
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Adam Szpiro
- Department of Biostatistics, University of Washington, Seattle
| | - Jessica Faul
- Institute for Social Research, University of Michigan, Ann Arbor
| | | | - Joel D. Kaufman
- Department of Epidemiology, University of Washington, Seattle
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle
- Department of Medicine, University of Washington, Seattle
| | - Lynda Lisabeth
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Richard A. Hirth
- Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor
- Department of Internal Medicine, University of Michigan, Ann Arbor
| | - Sara D. Adar
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
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13
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Yuan S, Huang X, Zhang L, Ling Y, Tan S, Peng M, Xu A, Lyu J. Associations of air pollution with all-cause dementia, Alzheimer's disease, and vascular dementia: a prospective cohort study based on 437,932 participants from the UK biobank. Front Neurosci 2023; 17:1216686. [PMID: 37600021 PMCID: PMC10436530 DOI: 10.3389/fnins.2023.1216686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/25/2023] [Indexed: 08/22/2023] Open
Abstract
Objective To prospectively assess whether air pollution, including PM2.5, PM10, and NOx, is associated with the risk of all-cause dementia, Alzheimer's disease (AD), and vascular dementia, and to investigate the potential relationship between air pollution and genetic susceptibility in the development of AD. Methods and results Our study included 437,932 participants from the UK Biobank with a median follow-up period of over 10 years. Using a Cox proportional hazards model, we found that participants exposed to PM2.5 levels of ≥10 μg/m3 had a higher risk of developing all-cause dementia (HR = 1.1; 95% CI: 1.05-1.28; p < 0.05) compared to the group exposed to PM2.5 levels of <10 μg/m3. However, there was no significant association between PM10 levels of ≥15 μg/m3 and the risk of all-cause dementia, AD, or vascular dementia when compared to the group exposed to PM10 levels of <15 μg/m3. On the other hand, participants exposed to NOx levels of ≥50 μg/m3 had a significantly higher risk of all-cause dementia (HR = 1.14; 95% CI: 1.02-1.26; p < 0.05) and AD (HR = 1.26; 95% CI: 1.08-1.48; p < 0.05) compared to the group exposed to NOx levels of <50 μg/m3. Furthermore, we examined the combined effect of air pollution (PM2.5, PM10, and NOx) and Alzheimer's disease genetic risk score (AD-GRS) on the development of AD using a Cox proportional hazards model. Among participants with a high AD-GRS, those exposed to NOx levels of ≥50 μg/m3 had a significantly higher risk of AD compared to those in the group exposed to NOx levels of <50 μg/m3 (HR = 1.36; 95% CI: 1.03-1.18; p < 0.05). Regardless of air pollutant levels (PM2.5, PM10, or NOx), participants with a high AD-GRS had a significantly increased risk of developing AD. Similar results were obtained when assessing multiple variables using inverse probability of treatment weighting (IPTW). Conclusion Our findings indicate that individuals living in areas with PM2.5 levels of ≥10 μg/m3 or NOx levels of ≥50 μg/m3 are at a higher risk of developing all-cause dementia. Moreover, individuals with a high AD-GRS demonstrated an increased risk of developing AD, particularly in the presence of NOx ≥ 50 μg/m3.
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Affiliation(s)
- Shiqi Yuan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Xiaxuan Huang
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Luming Zhang
- Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Yitong Ling
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Shanyuan Tan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Min Peng
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Anding Xu
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, Guangdong, China
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14
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Gayraud L, Mortamais M, Schweitzer C, de Hoogh K, Cougnard-Grégoire A, Korobelnik JF, Delyfer MN, Rougier MB, Leffondré K, Helmer C, Vienneau D, Berr C, Delcourt C. Association of long-term exposure to ambient air pollution with retinal neurodegeneration: The prospective alienor study. ENVIRONMENTAL RESEARCH 2023:116364. [PMID: 37301495 DOI: 10.1016/j.envres.2023.116364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/23/2023] [Accepted: 06/07/2023] [Indexed: 06/12/2023]
Abstract
Chronic exposure to air pollution may have adverse effects on neurodegenerative diseases. Glaucoma, the second leading cause of blindness worldwide, is a neurodegenerative disease of the optic nerve, characterized by progressive thinning of the retinal nerve fiber layer (RNFL). We investigated the relationship of air pollution exposure with longitudinal changes of RNFL thickness in the Alienor study, a population-based cohort of residents of Bordeaux, France, aged 75 years or more. Peripapillary RNFL thickness was measured using optical coherence tomography imaging every 2 years from 2009 to 2020. Measurements were acquired and reviewed by specially trained technicians to control quality. Air pollution exposure (particulate matter ≤2.5 μm (PM2.5), black carbon (BC), nitrogen dioxide (NO2)) was estimated at the participants' geocoded residential address using land-use regression models. For each pollutant, the 10-year average of past exposure at first RNFL thickness measurement was estimated. Associations of air pollution exposure with RNFL thickness longitudinal changes were assessed using linear mixed models adjusted for potential confounders, allowing for intra-eye and intra-individual correlation (repeated measurements). The study included 683 participants with at least one RNFL thickness measurement (62% female, mean age 82 years). The average RNFL was 90 μm (SD:14.4) at baseline. Exposure to higher levels of PM2.5 and BC in the previous 10 years was significantly associated with a faster RNFL thinning during the 11-year follow-up (-0.28 μm/year (95% confidence interval (CI) [-0.44;-0.13]) and -0.26 μm/year (95% CI [-0.40;-0.12]) per interquartile range increment; p < 0.001 for both). The size of the effect was similar to one year of age in the fitted model (-0.36 μm/year). No statistically significant associations were found with NO2 in the main models. This study evidenced a strong association of chronic exposure to fine particulate matter with retinal neurodegeneration, at air pollution levels below the current recommended thresholds in Europe.
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Affiliation(s)
- Laure Gayraud
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR, 1219, F-33000, Bordeaux, France
| | - Marion Mortamais
- Univ. Montpellier, Inserm, Institute for Neurosciences of Montpellier INM, UMR, 1298, 34091, Montpellier, France
| | - Cédric Schweitzer
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR, 1219, F-33000, Bordeaux, France; Centre Hospitalier Universitaire de Bordeaux, Service d'Ophtalmologie, Bordeaux, France
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Audrey Cougnard-Grégoire
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR, 1219, F-33000, Bordeaux, France
| | - Jean-François Korobelnik
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR, 1219, F-33000, Bordeaux, France; Centre Hospitalier Universitaire de Bordeaux, Service d'Ophtalmologie, Bordeaux, France
| | - Marie-Noelle Delyfer
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR, 1219, F-33000, Bordeaux, France; Centre Hospitalier Universitaire de Bordeaux, Service d'Ophtalmologie, Bordeaux, France
| | - Marie-Bénédicte Rougier
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR, 1219, F-33000, Bordeaux, France; Centre Hospitalier Universitaire de Bordeaux, Service d'Ophtalmologie, Bordeaux, France
| | - Karen Leffondré
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR, 1219, F-33000, Bordeaux, France
| | - Catherine Helmer
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR, 1219, F-33000, Bordeaux, France
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Claudine Berr
- Univ. Montpellier, Inserm, Institute for Neurosciences of Montpellier INM, UMR, 1298, 34091, Montpellier, France
| | - Cécile Delcourt
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR, 1219, F-33000, Bordeaux, France.
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15
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Wilker EH, Osman M, Weisskopf MG. Ambient air pollution and clinical dementia: systematic review and meta-analysis. BMJ 2023; 381:e071620. [PMID: 37019461 PMCID: PMC10498344 DOI: 10.1136/bmj-2022-071620] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/28/2023] [Indexed: 04/07/2023]
Abstract
OBJECTIVE To investigate the role of air pollutants in risk of dementia, considering differences by study factors that could influence findings. DESIGN Systematic review and meta-analysis. DATA SOURCES EMBASE, PubMed, Web of Science, Psycinfo, and OVID Medline from database inception through July 2022. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Studies that included adults (≥18 years), a longitudinal follow-up, considered US Environmental Protection Agency criteria air pollutants and proxies of traffic pollution, averaged exposure over a year or more, and reported associations between ambient pollutants and clinical dementia. Two authors independently extracted data using a predefined data extraction form and assessed risk of bias using the Risk of Bias In Non-randomised Studies of Exposures (ROBINS-E) tool. A meta-analysis with Knapp-Hartung standard errors was done when at least three studies for a given pollutant used comparable approaches. RESULTS 2080 records identified 51 studies for inclusion. Most studies were at high risk of bias, although in many cases bias was towards the null. 14 studies could be meta-analysed for particulate matter <2.5 µm in diameter (PM2.5). The overall hazard ratio per 2 μg/m3 PM2.5 was 1.04 (95% confidence interval 0.99 to 1.09). The hazard ratio among seven studies that used active case ascertainment was 1.42 (1.00 to 2.02) and among seven studies that used passive case ascertainment was 1.03 (0.98 to 1.07). The overall hazard ratio per 10 μg/m3 nitrogen dioxide was 1.02 ((0.98 to 1.06); nine studies) and per 10 μg/m3 nitrogen oxide was 1.05 ((0.98 to 1.13); five studies). Ozone had no clear association with dementia (hazard ratio per 5 μg/m3 was 1.00 (0.98 to 1.05); four studies). CONCLUSION PM2.5 might be a risk factor for dementia, as well as nitrogen dioxide and nitrogen oxide, although with more limited data. The meta-analysed hazard ratios are subject to limitations that require interpretation with caution. Outcome ascertainment approaches differ across studies and each exposure assessment approach likely is only a proxy for causally relevant exposure in relation to clinical dementia outcomes. Studies that evaluate critical periods of exposure and pollutants other than PM2.5, and studies that actively assess all participants for outcomes are needed. Nonetheless, our results can provide current best estimates for use in burden of disease and regulatory setting efforts. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42021277083.
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Affiliation(s)
- Elissa H Wilker
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Environmental Heath, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Marwa Osman
- Department of Environmental Heath, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Marc G Weisskopf
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Environmental Heath, Harvard TH Chan School of Public Health, Boston, MA, USA
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16
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Pini L, Salvalaggio A, Wennberg AM, Dimakou A, Matteoli M, Corbetta M. The pollutome-connectome axis: a putative mechanism to explain pollution effects on neurodegeneration. Ageing Res Rev 2023; 86:101867. [PMID: 36720351 DOI: 10.1016/j.arr.2023.101867] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 01/17/2023] [Accepted: 01/26/2023] [Indexed: 01/29/2023]
Abstract
The study of pollutant effects is extremely important to address the epochal challenges we are facing, where world populations are increasingly moving from rural to urban centers, revolutionizing our world into an urban world. These transformations will exacerbate pollution, thus highlighting the necessity to unravel its effect on human health. Epidemiological studies have reported that pollution increases the risk of neurological diseases, with growing evidence on the risk of neurodegenerative disorders. Air pollution and water pollutants are the main chemicals driving this risk. These chemicals can promote inflammation, acting in synergy with genotype vulnerability. However, the biological underpinnings of this association are unknown. In this review, we focus on the link between pollution and brain network connectivity at the macro-scale level. We provide an updated overview of epidemiological findings and studies investigating brain network changes associated with pollution exposure, and discuss the mechanistic insights of pollution-induced brain changes through neural networks. We explain, in detail, the pollutome-connectome axis that might provide the functional substrate for pollution-induced processes leading to cognitive impairment and neurodegeneration. We describe this model within the framework of two pollutants, air pollution, a widely recognized threat, and polyfluoroalkyl substances, a large class of synthetic chemicals which are currently emerging as new neurotoxic source.
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Affiliation(s)
- Lorenzo Pini
- Department of Neuroscience and Padova Neuroscience Center, University of Padova, Italy; Venetian Institute of Molecular Medicine, VIMM, Padova, Italy.
| | | | - Alexandra M Wennberg
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anastasia Dimakou
- Department of Neuroscience and Padova Neuroscience Center, University of Padova, Italy
| | - Michela Matteoli
- Neuro Center, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano, Milano, Italy; CNR Institute of Neuroscience, Milano, Italy
| | - Maurizio Corbetta
- Department of Neuroscience and Padova Neuroscience Center, University of Padova, Italy; Venetian Institute of Molecular Medicine, VIMM, Padova, Italy
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17
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Liu Q, Wang Z, Lu J, Li Z, Martinez L, Tao B, Wang C, Zhu L, Lu W, Zhu B, Pei X, Mao X. Effects of short-term PM 2.5 exposure on blood lipids among 197,957 people in eastern China. Sci Rep 2023; 13:4505. [PMID: 36934119 PMCID: PMC10024762 DOI: 10.1038/s41598-023-31513-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 03/13/2023] [Indexed: 03/20/2023] Open
Abstract
Globally, air pollution is amongst the most significant causes of premature death. Nevertheless, studies on the relationship between fine particulate matter (PM2.5) exposure and blood lipids have typically not been population-based. In a large, community-based sample of residents in Yixing city, we assessed the relationship between short-term outdoor PM2.5 exposure and blood lipid concentrations. Participants who attended the physical examination were enrolled from Yixing People's hospital from 2015 to 2020. We collected general characteristics of participants, including gender and age, as well as test results of indicators of blood lipids. Data on daily meteorological factors were collected from the National Meteorological Data Sharing Center ( http://data.cma.cn/ ) and air pollutant concentrations were collected from the China Air Quality Online Monitoring and Analysis Platform ( https://www.aqistudy.cn/ ) during this period. We applied generalized additive models to estimate short-term effects of ambient PM2.5 exposure on each measured blood lipid-related indicators and converted these indicators into dichotomous variables (non- hyperlipidemia and hyperlipidemia) to calculate risks of hyperlipidemia associated with PM2.5 exposure. A total of 197,957 participants were included in the analysis with mean age 47.90 years (± SD, 14.28). The increase in PM2.5 was significantly associated with hyperlipidemia (odds ratio (OR) 1.003, 95% CI 1.001-1.004), and it was still significant in subgroups of males and age < 60 years. For every 10 μg/m3 increase in PM2.5, triglyceride levels decreased by 0.5447% (95% CI - 0.7873, - 0.3015), the low-density lipoprotein cholesterol concentration increased by 0.0127 mmol/L (95% CI 0.0099, 0.0156), the total cholesterol concentration increased by 0.0095 mmol/L (95% CI 0.0053, 0.0136), and no significant association was observed between PM2.5 and the high-density lipoprotein cholesterol concentration. After excluding people with abnormal blood lipid concentrations, the associations remained significant except for the high-density lipoprotein cholesterol concentration. PM2.5 was positively correlated with low-density lipoprotein cholesterol and total cholesterol, and negatively correlated with triglyceride, indicating PM2.5 can potentially affect health through blood lipid levels.
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Affiliation(s)
- Qiao Liu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
| | - Zhan Wang
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Junjie Lu
- Department of Critical Care Medicine, Affiliated Yixing People's Hospital, Jiangsu University, Wuxi, People's Republic of China
| | - Zhongqi Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Leonardo Martinez
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
| | - Bilin Tao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Chunlai Wang
- Department of Physical Examination Center, Affiliated Yixing People's Hospital, Jiangsu University, Wuxi, People's Republic of China
| | - Limei Zhu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
| | - Wei Lu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
| | - Baoli Zhu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
| | - Xiaohua Pei
- Divison of Geriatric Nephrology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
| | - Xuhua Mao
- Department of Clinical Laboratory, Affiliated Yixing People's Hospital, Jiangsu University, Wuxi, Jiangsu Province, People's Republic of China.
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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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Zhang Z, Chen L, Wang X, Wang C, Yang Y, Li H, Cai M, Lin H. Associations of Air Pollution and Genetic Risk With Incident Dementia: A Prospective Cohort Study. Am J Epidemiol 2023; 192:182-194. [PMID: 36269005 DOI: 10.1093/aje/kwac188] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 08/02/2022] [Accepted: 10/18/2022] [Indexed: 02/07/2023] Open
Abstract
Evidence on the association between air pollution and dementia is accumulating but still inconclusive, and the potential effect modification by genetics is unclear. We investigated the joint effects of air pollution exposure and genetic risk on incident dementia in a prospective cohort study, the UK Biobank study. Land use regression models were used to estimate exposure to ambient particulate matter (PM) in 3 fraction sizes (PM with diameter < 2.5 μm (PM2.5), coarse particles (PM with diameter 2.5-10 μm (PMc)), and PM with diameter < 10 μm (PM10)), PM2.5 absorbance, nitrogen dioxide levels, and nitrogen oxide levels at each individual's baseline residence. A polygenic risk score was calculated as a quantitative measure of genetic dementia risk. Incident cases of dementia were ascertained through linkage to health administrative data sets. Among the 227,840 participants included in the analysis, 3,774 incident dementia cases (including 1,238 cases of Alzheimer disease and 563 cases of vascular dementia) were identified. After adjustment for a variety of covariates, including genetic factors, positive associations were found between exposure to air pollution-particularly PM10, PM2.5 absorbance, and nitrogen dioxide-and incident all-cause dementia and Alzheimer disease but not vascular dementia. No significant interaction between air pollution and genetics was found, either on the multiplicative scale or on the additive scale. Exposure to air pollution was associated with a higher risk of developing dementia regardless of genetic risk.
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21
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Semmens EO, Leary CS, Fitzpatrick AL, Ilango SD, Park C, Adam CE, DeKosky ST, Lopez O, Hajat A, Kaufman JD. Air pollution and dementia in older adults in the Ginkgo Evaluation of Memory Study. Alzheimers Dement 2023; 19:549-559. [PMID: 35436383 PMCID: PMC9576823 DOI: 10.1002/alz.12654] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 02/13/2022] [Accepted: 02/17/2022] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Growing evidence implicates air pollution as a risk factor for dementia, but prior work is limited by challenges in diagnostic accuracy and assessing exposures in the decades prior to disease development. We evaluated the impact of long-term fine particulate matter (PM2.5 ) exposures on incident dementia (all-cause, Alzheimer's disease [AD], and vascular dementia [VaD]) in older adults. METHODS A panel of neurologists adjudicated dementia cases based on extensive neuropsychological testing and magnetic resonance imaging. We applied validated fine-scale air pollutant models to reconstructed residential histories to assess exposures. RESULTS An interquartile range increase in 20-year PM2.5 was associated with a 20% higher risk of dementia (95% confidence interval [CI]: 5%, 37%) and an increased risk of mixed VaD/AD but not AD alone. DISCUSSION Our findings suggest that air pollutant exposures over decades contribute to dementia and that effects of current exposures may be experienced years into the future.
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Affiliation(s)
- Erin O. Semmens
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Cindy S. Leary
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine and Global Health, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Sindana D. Ilango
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Christina Park
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Claire E. Adam
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Steven T. DeKosky
- Department of Neurology and McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
| | - Oscar Lopez
- Department of Neurology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Anjum Hajat
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Joel D. Kaufman
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
- Departments of Environmental and Occupational Health Sciences and Medicine, School of Public Health, University of Washington, Seattle, Washington, USA
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22
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de Crom TO, Ginos BN, Oudin A, Ikram MK, Voortman T, Ikram MA. Air Pollution and the Risk of Dementia: The Rotterdam Study. J Alzheimers Dis 2023; 91:603-613. [PMID: 36463450 PMCID: PMC9912721 DOI: 10.3233/jad-220804] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Exposure to air pollution has been suggested to increase the risk of dementia, but studies on this link often lack a detailed screening for dementia and data on important confounders. OBJECTIVE To determine the association of exposure to air pollution with the risk of dementia and cognitive decline in the population-based Rotterdam Study. METHODS Between 2009 and 2010, we determined air pollutant concentrations at participants residential addresses using land use regression models. Determined air pollutants include particulate matter <10μm (PM10) and <2.5μm (PM2.5), a proxy of elemental carbon (PM2.5 absorbance), nitrogen oxide (NOx), and nitrogen dioxide (NO2). As the individual air pollutant levels were highly correlated (r = 0.71-0.98), we computed a general marker covering all air pollutants based on a principal component analysis. We followed participants up for dementia until 2018 and determined cognitive performance during two subsequent examination rounds. Using Cox and linear mixed models, we related air pollution to dementia and cognitive decline. RESULTS Of the 7,511 non-demented participants at baseline, 545 developed dementia during a median follow-up of 7 years. The general marker of all air pollutants was not associated with the risk of dementia (hazard ratio [95% confidence interval]: 1.04 [0.95-1.15]), neither were the individual air pollutants. Also, the general marker of all air pollutants or the individual air pollutant levels were not associated with cognitive decline. CONCLUSION In this study, we found no clear evidence for an association between exposure to air pollution and the risk of dementia or cognitive decline.
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Affiliation(s)
- Tosca O.E. de Crom
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Bigina N.R. Ginos
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Anna Oudin
- Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - M. Kamran Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands,Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands,Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands,Correspondence to: M. Arfan Ikram, Department of Epidemiology, Erasmus MC, PO Box 2040, 3000 CA Rotterdam, The Netherlands. E-mail:
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Rao RV, Subramaniam KG, Gregory J, Bredesen AL, Coward C, Okada S, Kelly L, Bredesen DE. Rationale for a Multi-Factorial Approach for the Reversal of Cognitive Decline in Alzheimer's Disease and MCI: A Review. Int J Mol Sci 2023; 24:ijms24021659. [PMID: 36675177 PMCID: PMC9865291 DOI: 10.3390/ijms24021659] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/03/2023] [Accepted: 01/09/2023] [Indexed: 01/18/2023] Open
Abstract
Alzheimer's disease (AD) is a multifactorial, progressive, neurodegenerative disease typically characterized by memory loss, personality changes, and a decline in overall cognitive function. Usually manifesting in individuals over the age of 60, this is the most prevalent type of dementia and remains the fifth leading cause of death among Americans aged 65 and older. While the development of effective treatment and prevention for AD is a major healthcare goal, unfortunately, therapeutic approaches to date have yet to find a treatment plan that produces long-term cognitive improvement. Drugs that may be able to slow down the progression rate of AD are being introduced to the market; however, there has been no previous solution for preventing or reversing the disease-associated cognitive decline. Recent studies have identified several factors that contribute to the progression and severity of the disease: diet, lifestyle, stress, sleep, nutrient deficiencies, mental health, socialization, and toxins. Thus, increasing evidence supports dietary and other lifestyle changes as potentially effective ways to prevent, slow, or reverse AD progression. Studies also have demonstrated that a personalized, multi-therapeutic approach is needed to improve metabolic abnormalities and AD-associated cognitive decline. These studies suggest the effects of abnormalities, such as insulin resistance, chronic inflammation, hypovitaminosis D, hormonal deficiencies, and hyperhomocysteinemia, in the AD process. Therefore a personalized, multi-therapeutic program based on an individual's genetics and biochemistry may be preferable over a single-drug/mono-therapeutic approach. This article reviews these multi-therapeutic strategies that identify and attenuate all the risk factors specific to each affected individual. This article systematically reviews studies that have incorporated multiple strategies that target numerous factors simultaneously to reverse or treat cognitive decline. We included high-quality clinical trials and observational studies that focused on the cognitive effects of programs comprising lifestyle, physical, and mental activity, as well as nutritional aspects. Articles from PubMed Central, Scopus, and Google Scholar databases were collected, and abstracts were reviewed for relevance to the subject matter. Epidemiological, pathological, toxicological, genetic, and biochemical studies have all concluded that AD represents a complex network insufficiency. The research studies explored in this manuscript confirm the need for a multifactorial approach to target the various risk factors of AD. A single-drug approach may delay the progression of memory loss but, to date, has not prevented or reversed it. Diet, physical activity, sleep, stress, and environment all contribute to the progression of the disease, and, therefore, a multi-factorial optimization of network support and function offers a rational therapeutic strategy. Thus, a multi-therapeutic program that simultaneously targets multiple factors underlying the AD network may be more effective than a mono-therapeutic approach.
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Affiliation(s)
- Rammohan V. Rao
- Apollo Health, Burlingame, CA 94011, USA
- Correspondence: (R.V.R.); (D.E.B.)
| | | | | | | | | | - Sho Okada
- Apollo Health, Burlingame, CA 94011, USA
| | | | - Dale E. Bredesen
- Apollo Health, Burlingame, CA 94011, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90024, USA
- Correspondence: (R.V.R.); (D.E.B.)
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Abolhasani E, Hachinski V, Ghazaleh N, Azarpazhooh MR, Mokhber N, Martin J. Air Pollution and Incidence of Dementia: A Systematic Review and Meta-analysis. Neurology 2023; 100:e242-e254. [PMID: 36288998 DOI: 10.1212/wnl.0000000000201419] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 08/31/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Studies of association between air pollution and incidence of dementia have shown discrepant results. The aim of this study was to evaluate the association between air pollution and dementia. METHODS In this systematic review and meta-analysis, PubMed, MEDLINE, EMBASE, PsycINFO, Scopus, and Web of Science were searched and updated in August 2021. Population-based cohort studies that reported on hazard ratio (HR) of dementia in association with exposure to fine particulate matter (PM2·5), nitrogen oxides (NOX), nitrogen dioxide (NO2), or ozone (O3) in those aged >40 years were included. Data were extracted by 2 independent investigators. The main outcome was the pooled HR for dementia per increment of pollutant, calculated using a random-effects model. Results were reported in accordance with PRISMA guidelines. The protocol was registered in PROSPERO (registration number: CRD42020219036). RESULTS A total of 20 studies were included in the systematic review, and 17 provided data for the meta-analysis. The total included population was 91,391,296, with 5,521,111 (6%) being diagnosed with dementia. A total of 12, 5, 6, and 4 studies were included in the meta-analyses of PM2·5, NOX, NO2, and O3, respectively. The risk of dementia increased by 3% per 1 μg/m3 increment in PM2·5 (HR, 1.03; 95% CI [1.02-1.05]; I2 = 100%). The association between dementia per 10 μg/m3 increment in NOX (HR, 1.05; 95% CI [0.99-1.13]; I2 = 61%), NO2 (HR, 1.03; 95% CI [1.00-1.07]; I2 = 94%), and O3 levels (HR, 1.01; 95% CI [0.91-1.11]; I2 = 82%) was less clear, although a significant association could not be ruled out, and there was high heterogeneity across studies. DISCUSSION Existing evidence suggests a significant association between exposure to PM2·5 and incidence of dementia and nonsignificant association between dementia and NOX, NO2, and O3 exposure. However, results should be interpreted in light of the small number of studies and high heterogeneity of effects across studies.
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Affiliation(s)
- Ehsan Abolhasani
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Vladimir Hachinski
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Nargess Ghazaleh
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Mahmoud Reza Azarpazhooh
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Naghmeh Mokhber
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Janet Martin
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada.
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25
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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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26
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Calderón-Garcidueñas L, Torres-Jardón R, Greenough GP, Kulesza R, González-Maciel A, Reynoso-Robles R, García-Alonso G, Chávez-Franco DA, García-Rojas E, Brito-Aguilar R, Silva-Pereyra HG, Ayala A, Stommel EW, Mukherjee PS. Sleep matters: Neurodegeneration spectrum heterogeneity, combustion and friction ultrafine particles, industrial nanoparticle pollution, and sleep disorders-Denial is not an option. Front Neurol 2023; 14:1117695. [PMID: 36923490 PMCID: PMC10010440 DOI: 10.3389/fneur.2023.1117695] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/01/2023] [Indexed: 03/02/2023] Open
Abstract
Sustained exposures to ubiquitous outdoor/indoor fine particulate matter (PM2.5), including combustion and friction ultrafine PM (UFPM) and industrial nanoparticles (NPs) starting in utero, are linked to early pediatric and young adulthood aberrant neural protein accumulation, including hyperphosphorylated tau (p-tau), beta-amyloid (Aβ1 - 42), α-synuclein (α syn) and TAR DNA-binding protein 43 (TDP-43), hallmarks of Alzheimer's (AD), Parkinson's disease (PD), frontotemporal lobar degeneration (FTLD), and amyotrophic lateral sclerosis (ALS). UFPM from anthropogenic and natural sources and NPs enter the brain through the nasal/olfactory pathway, lung, gastrointestinal (GI) tract, skin, and placental barriers. On a global scale, the most important sources of outdoor UFPM are motor traffic emissions. This study focuses on the neuropathology heterogeneity and overlap of AD, PD, FTLD, and ALS in older adults, their similarities with the neuropathology of young, highly exposed urbanites, and their strong link with sleep disorders. Critical information includes how this UFPM and NPs cross all biological barriers, interact with brain soluble proteins and key organelles, and result in the oxidative, endoplasmic reticulum, and mitochondrial stress, neuroinflammation, DNA damage, protein aggregation and misfolding, and faulty complex protein quality control. The brain toxicity of UFPM and NPs makes them powerful candidates for early development and progression of fatal common neurodegenerative diseases, all having sleep disturbances. A detailed residential history, proximity to high-traffic roads, occupational histories, exposures to high-emission sources (i.e., factories, burning pits, forest fires, and airports), indoor PM sources (tobacco, wood burning in winter, cooking fumes, and microplastics in house dust), and consumption of industrial NPs, along with neurocognitive and neuropsychiatric histories, are critical. Environmental pollution is a ubiquitous, early, and cumulative risk factor for neurodegeneration and sleep disorders. Prevention of deadly neurological diseases associated with air pollution should be a public health priority.
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Affiliation(s)
- Lilian Calderón-Garcidueñas
- College of Health, The University of Montana, Missoula, MT, United States.,Universidad del Valle de México, Mexico City, Mexico
| | - Ricardo Torres-Jardón
- Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Glen P Greenough
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Randy Kulesza
- Department of Anatomy, Lake Erie College of Osteopathic Medicine, Erie, PA, United States
| | | | | | | | | | | | | | - Héctor G Silva-Pereyra
- Instituto Potosino de Investigación Científica y Tecnológica A.C., San Luis Potosi, Mexico
| | - Alberto Ayala
- Sacramento Metropolitan Air Quality Management District, Sacramento, CA, United States.,Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, United States
| | - Elijah W Stommel
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Partha S Mukherjee
- Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata, India
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27
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Song J, Qu R, Sun B, Wang Y, Chen R, Kan H, An Z, Wu H, Li J, Jiang J, Zhang Y, Wu W. Acute effects of ambient nitrogen dioxide exposure on serum biomarkers of nervous system damage in healthy older adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114423. [PMID: 36525948 DOI: 10.1016/j.ecoenv.2022.114423] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 12/09/2022] [Accepted: 12/10/2022] [Indexed: 06/17/2023]
Abstract
Ambient nitrogen dioxide (NO2)-induced adverse health effects have been studied, but documented evidence on neural systems is limited. This study aimed to determine the acute effect of NO2 exposure on nervous system damage biomarker levels in healthy older adults. Five rounds of follow-up among 34 healthy retired people were scheduled from December 2018 to April 2019 in Xinxiang, China. The real-time NO2 concentrations were measured using a fixed site monitor. Serum samples were acquired during each round to measure nervous system damage biomarker levels: brain-derived neurotrophic factor (BDNF), neurofilament light chain (NfL), neuron-specific enolase (NSE), protein gene product 9.5 (PGP9.5), and S100 calcium-binding protein B (S100B). A linear mixed-effect model was incorporated to analyze the association between short-term NO2 exposure and serum concentrations of the above-mentioned biomarkers. Stratification analysis based on sex, educational attainment, glutathione S-transferase theta 1 gene (GSTT1) polymorphism, and physical activity intensity was conducted to explore their potential modification effect. The NO2 concentration ranged from 34.7 to 59.0 µg/m3 during the study period. Acute exposure to ambient NO2 was significantly associated with elevated serum levels of NfL, PGP9.5, and BDNF. In response to a 10 µg/m3 increase in NO2 concentration, NfL and PGP9.5 levels increased by 76 % (95 % confidence interval [CI]: 12-140 %) and 54 % (95 % CI: 1-107 %) on the lag0 day, respectively, while BDNF levels increased by 49 % (95 % CI: 2-96 %) at lag4 day. The estimated effect of NO2 on NSE levels in GSTT1-sufficient participants was significantly higher than that in GSTT1-null participants. Intriguingly, the estimation of NO2 on PGP9.5 levels in females was significantly higher than that in males. Most two-pollutant models showed robust results, except for O3, which might have had confounding effects on NO2-induced BDNF stimulation. In summary, acute exposure to NO2 was associated with increased levels of serum nervous system damage biomarker levels including NFL, PGP9.5, and BDNF. The present study provided insights into NO2 exposure-induced adverse neural effects.
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Affiliation(s)
- Jie Song
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Rongrong Qu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Beibei Sun
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Yinbiao Wang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Renjie Chen
- School of Public Health, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, China
| | - Zhen An
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Hui Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Juan Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Jing Jiang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Yange Zhang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Weidong Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China.
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28
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Letellier N, Gutierrez LA, Duchesne J, Chen C, Ilango S, Helmer C, Berr C, Mortamais M, Benmarhnia T. Air quality improvement and incident dementia: Effects of observed and hypothetical reductions in air pollutant using parametric g-computation. Alzheimers Dement 2022; 18:2509-2517. [PMID: 35142029 DOI: 10.1002/alz.12606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/23/2021] [Accepted: 01/03/2022] [Indexed: 01/31/2023]
Abstract
INTRODUCTION No evidence exists about the impact of air pollution reduction on incidence of dementia. The aim of this study was to quantify how air quality improvement leads to dementia-incidence benefits. METHODS In the French Three-City cohort (12 years of follow-up), we used parametric g-computation to quantify the expected number of prevented dementia cases under different hypothetical interventions with particulate matter measuring <2.5 μm (PM2.5 ) reductions. RESULTS Among 7051 participants, 789 participants developed dementia. The median PM2.5 reduction between 1990 and 2000 was 12.2 (μg/m3 ). Such a reduction reduced the risk of all-cause dementia (hazard ratio [HR], 0.85; 95% confidence interval [CI], 0.76 to 0.95). If all study participants were enjoying a hypothetical reduction of more than 13.10 μg/m3 (median reduction observed in the city of Montpellier), the rate difference was -0.37 (95% CI, -0.57 to -0.17) and the rate ratio was 0.67 (95% CI, 0.50 to 0.84). DISCUSSION These findings highlight the possible substantial benefits of reducing air pollution in the prevention of dementia.
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Affiliation(s)
- Noémie Letellier
- Herbert Wertheim School of Public Health and Human Longevity Science & Scripps Institution of Oceanography, UC San Diego, San Diego, California, USA
| | - Laure-Anne Gutierrez
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France
| | - Jeanne Duchesne
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France
| | - Chen Chen
- Herbert Wertheim School of Public Health and Human Longevity Science & Scripps Institution of Oceanography, UC San Diego, San Diego, California, USA
| | - Sindana Ilango
- Department of Epidemiology, University of Washington School of Public Health, Seattle, USA
| | - Catherine Helmer
- Bordeaux Population Health Research Center, Université de Bordeaux, INSERM, UMR 1219, Bordeaux, France
| | - Claudine Berr
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France.,Memory Research and Resources Center, Department of Neurology, Montpellier University Hospital Gui de Chauliac, Montpellier, France
| | - Marion Mortamais
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France
| | - Tarik Benmarhnia
- Herbert Wertheim School of Public Health and Human Longevity Science & Scripps Institution of Oceanography, UC San Diego, San Diego, California, USA
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29
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Trevenen ML, Heyworth J, Almeida OP, Yeap BB, Hankey GJ, Golledge J, Etherton-Beer C, Robinson S, Nieuwenhuijsen MJ, Flicker L. Ambient air pollution and risk of incident dementia in older men living in a region with relatively low concentrations of pollutants: The Health in Men Study. ENVIRONMENTAL RESEARCH 2022; 215:114349. [PMID: 36116491 DOI: 10.1016/j.envres.2022.114349] [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: 06/07/2022] [Revised: 08/29/2022] [Accepted: 09/12/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND In areas with moderate to severe air pollution, pollutant concentrations are associated with dementia risk. It is unclear whether the same relationship is present in regions with lower ambient air pollution. OBJECTIVE To determine whether exposure to air pollution is associated with risk of incident dementia in general, and Alzheimer's disease and vascular dementia in particular, in older men living in a relatively low ambient air pollution region. METHODS The cohort comprised 11,243 men residing in Perth, Australia. Participants were aged ≥65 years and free of a dementia diagnosis at time of recruitment in 1996-1999. Incident dementia was identified from recruitment to 2018 via ICD diagnosis codes and subsequent study waves. Concentrations for three air pollutants, nitrogen dioxide (NO2), fine particulate matter less than 2.5 μm in diameter (PM2.5), and black carbon (BC) were estimated at participants' home addresses using land-use regression models. We used Cox proportional hazards regression models adjusting for smoking status, physical activity, BMI, education, and socio-economic status. RESULTS Of 3053 (27.2%) incident cases of dementia, 1670 (54.7%) and 355 (11.6%) had documented Alzheimer's disease and vascular dementia. The average concentration of NO2 was 13.5 (SD 4.4) μg/m3, of PM2.5 was 4.54 (SD 1.6) μg/m3 and of BC was 0.97 (SD 0.29) ×10-5 m-1. None of the air pollutants were associated with incident dementia or Alzheimer's disease. In the unadjusted model, increased exposure to PM2.5 was associated with an increased risk of vascular dementia (for a 5 μg/m3 increase: HR 1.62, 95% CI 1.13, 2.31). However, this association was attenuated following adjustment for confounders (HR 1.39, 95% CI 0.93, 2.08). NO2 and BC were not associated with vascular dementia incidence. DISCUSSION Exposure to air pollution is not associated with increased risk of incident dementia in older men living in a region with relatively low ambient air pollution.
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Affiliation(s)
- Michelle L Trevenen
- Western Australian Centre for Health and Ageing, University of Western Australia, Perth, Western Australia, Australia.
| | - Jane Heyworth
- School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia
| | - Osvaldo P Almeida
- Western Australian Centre for Health and Ageing, University of Western Australia, Perth, Western Australia, Australia
| | - Bu B Yeap
- Medical School, University of Western Australia, Perth, Western Australia, Australia; Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Western Australia, Australia
| | - Graeme J Hankey
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Jonathan Golledge
- Queensland Research Centre for Peripheral Vascular Disease, James Cook University and Townsville University Hospital, Townsville, Queensland, Australia
| | - Christopher Etherton-Beer
- Western Australian Centre for Health and Ageing, University of Western Australia, Perth, Western Australia, Australia
| | - Suzanne Robinson
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | | | - Leon Flicker
- Western Australian Centre for Health and Ageing, University of Western Australia, Perth, Western Australia, Australia
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Khreis H, Bredell C, Wai Fung K, Hong L, Szybka M, Phillips V, Abbas A, Lim YH, Jovanovic Andersen Z, Woodcock J, Brayne C. Impact of long-term air pollution exposure on incidence of neurodegenerative diseases: A protocol for a systematic review and exposure-response meta-analysis. ENVIRONMENT INTERNATIONAL 2022; 170:107596. [PMID: 36308811 DOI: 10.1016/j.envint.2022.107596] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Ambient air pollution is a pervasive and ubiquitous hazard, which has been linked to premature morbidity and a growing number of morbidity endpoints. Air pollution may be linked to neurodegeneration, and via this or other pathways, to neurodegenerative diseases. Emerging evidence suggests that air pollution may contribute to neurodegenerative diseases such as dementia, Parkinson's Disease (PD), Multiple Sclerosis (MS) and Motor Neuron Diseases (MND), although this evidence remains inconsistent and very limited for MS and MND. In addition, this evidence base is rapidly emerging and would benefit from a wide and critical synthesis, including a better understanding of heterogeneity. OBJECTIVES In this paper, we present a protocol for a systematic review and meta-analysis and specify our methods a priori. The main aim of the planned systematic review is to answer the question of whether long-term exposure (>1 year) to ambient (outdoor) air pollution (exposure, compared to lower exposure) increases the risk of adult (population) incidence of neurodegenerative diseases (outcomes) in epidemiological observational studies (study design). Another aim is to meta-analyze the associations between long-term exposure to ambient air pollutants and the risk of the selected outcomes and assess the shape of exposure-response functions. To set the stage for the proposed work, we also overview the existing epidemiological evidence in this protocol, but do not critically evaluate it, as these results will be fully presented in the planned systematic review. SEARCH AND STUDY ELIGIBILITY We will search the electronic databases Medline (via Ovid), Embase (via Ovid), Cochrane Library, Cinahl (via Ebscohost), Global Health (via Ebscohost), PsycINFO (via Ebscohost), Scopus, Web of Science (Core Collection), from inception to October 2022. Eligible studies must contain primary research investigating the link between 1-year + exposure to any outdoor air pollutant, from any source, and dementia, PD, MS, and MND, or dementia subtypes: Alzheimer's Disease, vascular dementia, and mixed dementia. The search strategy and eligibility criteria are pre-determined and described in full in this protocol. STUDY APPRAISAL AND SYNTHESIS METHODS Articles will be stored and screened using Rayyan QCRI. Title and abstract screening, full text review, data extraction, risk of bias assessment and data preparation for statistical analysis will be conducted independently by two reviewers using pre-defined forms and criteria, described in this protocol. All these steps will also be piloted and the forms and/or methods adapted if issues arise. Meta-analysis and assessment of the shape of the exposure-response functions will be conducted if four independent exposure-outcomes pairs are available, and the remainder of results will be synthesized in the forms of tables and via a narrative summary. Certainty in the body of evidence will be assessed using the OHAT approach. This protocol describes the planned analysis and synthesis a priori and serves to increase transparency and impact of this systematic review and meta-analysis.
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Affiliation(s)
- Haneen Khreis
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom.
| | - Christiaan Bredell
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Kwan Wai Fung
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Lucy Hong
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Magdalena Szybka
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Veronica Phillips
- University of Cambridge Medical Library, University of Cambridge School of Clinical Medicine, Hills Rd, Cambridge CB2 0SP, United Kingdom
| | - Ali Abbas
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Youn-Hee Lim
- Section of Environmental and Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 15 Øster Farimagsgade 5, 1014 Copenhagen, Denmark
| | - Zorana Jovanovic Andersen
- Section of Environmental and Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 15 Øster Farimagsgade 5, 1014 Copenhagen, Denmark
| | - James Woodcock
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge CB2 0SR, United Kingdom
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31
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Andersen ZJ, Zhang J, Jørgensen JT, 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, Monique Verschuren WM, Jöckel KH, So R, Cole-Hunter T, Mehta AJ, Mortensen LH, Ketzel M, Lager A, Leander K, Ljungman P, Severi G, Boutron-Ruault MC, Magnusson PKE, Nagel G, Pershagen G, Peters A, Rizzuto D, van der Schouw YT, Schramm S, Stafoggia M, Katsouyanni K, Brunekreef B, Hoek G, Lim YH. Long-term exposure to air pollution and mortality from dementia, psychiatric disorders, and suicide in a large pooled European cohort: ELAPSE study. ENVIRONMENT INTERNATIONAL 2022; 170:107581. [PMID: 36244228 DOI: 10.1016/j.envint.2022.107581] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 10/04/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Ambient air pollution is an established risk factor for premature mortality from chronic cardiovascular, respiratory and metabolic diseases, while evidence on neurodegenerative diseases and psychiatric disorders remains limited. We examined the association between long-term exposure to air pollution and mortality from dementia, psychiatric disorders, and suicide in seven European cohorts. Within the multicenter project 'Effects of Low-Level Air Pollution: A Study in Europe' (ELAPSE), we pooled data from seven European cohorts from six countries. Based on the residential addresses, annual mean levels of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC), ozone (O3), and 8 PM2.5 components were estimated using Europe-wide hybrid land-use regression models. We applied stratified Cox proportional hazard models to investigate the associations between air pollution and mortality from dementia, psychiatric disorders, and suicide. Of 271,720 participants, 900 died from dementia, 241 from psychiatric disorders, and 164 from suicide, during a mean follow-up of 19.7 years. In fully adjusted models, we observed positive associations of NO2 (hazard ratio [HR] = 1.38; 95 % confidence interval [CI]: 1.13, 1.70 per 10 µg/m3), PM2.5 (HR = 1.29; 95 % CI: 0.98, 1.71 per 5 µg/m3), and BC (HR = 1.37; 95 % CI: 1.11, 1.69 per 0.5 × 10-5/m) with psychiatric disorders mortality, as well as with suicide (NO2: HR = 1.13 [95 % CI: 0.92, 1.38]; PM2.5: HR = 1.19 [95 % CI: 0.76, 1.87]; BC: HR = 1.08 [95 % CI: 0.87, 1.35]), and no association with dementia mortality. We did not detect any positive associations of O3 and 8 PM2.5 components with any of the three mortality outcomes. Long-term exposure to NO2, PM2.5, and BC may lead to premature mortality from psychiatric disorders and suicide.
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Affiliation(s)
- Zorana J Andersen
- 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
| | - Jeanette T Jørgensen
- 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; Science Policy & Epidemiology Environmental Research Group, King's 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
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands; Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - 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
| | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, 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
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP UMR1018, 94805 Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
| | - Marie-Christine Boutron-Ruault
- 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, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Yvonne T van der Schouw
- 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; Science Policy & Epidemiology Environmental Research Group, King's 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.
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Yao Y, Schneider A, Wolf K, Zhang S, Wang-Sattler R, Peters A, Breitner S. Longitudinal associations between metabolites and long-term exposure to ambient air pollution: Results from the KORA cohort study. ENVIRONMENT INTERNATIONAL 2022; 170:107632. [PMID: 36402035 DOI: 10.1016/j.envint.2022.107632] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 11/11/2022] [Accepted: 11/12/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Long-term exposure to air pollution has been associated with cardiopulmonary diseases, while the underlying mechanisms remain unclear. OBJECTIVES To investigate changes in serum metabolites associated with long-term exposure to air pollution and explore the susceptibility characteristics. METHODS We used data from the German population-based Cooperative Health Research in the Region of Augsburg (KORA) S4 survey (1999-2001) and two follow-up examinations (F4: 2006-08 and FF4: 2013-14). Mass-spectrometry-based targeted metabolomics was used to quantify metabolites among serum samples. Only participants with repeated metabolites measurements were included in the current analysis. Land-use regression (LUR) models were used to estimate annual average concentrations of ultrafine particles, particulate matter (PM) with an aerodynamic diameter less than 10 μm (PM10), coarse particles (PMcoarse), fine particles, PM2.5 absorbance (a proxy of elemental carbon related to traffic exhaust, PM2.5abs), nitrogen oxides (NO2, NOx), and ozone at individuals' residences. We applied confounder-adjusted mixed-effects regression models to examine the associations between long-term exposure to air pollution and metabolites. RESULTS Among 9,620 observations from 4,261 KORA participants, we included 5,772 (60.0%) observations from 2,583 (60.6%) participants in this analysis. Out of 108 metabolites that passed stringent quality control across three study points in time, we identified nine significant negative associations between phosphatidylcholines (PCs) and ambient pollutants at a Benjamini-Hochberg false discovery rate (FDR) corrected p-value < 0.05. The strongest association was seen for an increase of 0.27 μg/m3 (interquartile range) in PM2.5abs and decreased phosphatidylcholine acyl-alkyl C36:3 (PC ae C36:3) concentrations [percent change in the geometric mean: -2.5% (95% confidence interval: -3.6%, -1.5%)]. CONCLUSIONS Our study suggested that long-term exposure to air pollution is associated with metabolic alterations, particularly in PCs with unsaturated long-chain fatty acids. These findings might provide new insights into potential mechanisms for air pollution-related adverse outcomes.
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Affiliation(s)
- Yueli Yao
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Ludwig-Maximilians-Universität München, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Siqi Zhang
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Rui Wang-Sattler
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research, DZD, Munich-Neuherberg, Germany
| | - Annette Peters
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Ludwig-Maximilians-Universität München, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research, DZD, Munich-Neuherberg, Germany; German Centre for Cardiovascular Research, DZHK, Partner Site Munich, Munich, Germany
| | - Susanne Breitner
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Ludwig-Maximilians-Universität München, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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Wood D, Evangelopoulos D, Beevers S, Kitwiroon N, Katsouyanni K. Exposure to Ambient Air Pollution and the Incidence of Dementia in the Elderly of England: The ELSA Cohort. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15889. [PMID: 36497970 PMCID: PMC9736331 DOI: 10.3390/ijerph192315889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/24/2022] [Accepted: 11/26/2022] [Indexed: 06/17/2023]
Abstract
Increasing evidence suggests an adverse association between ambient air pollution and the incidence of dementia in adult populations, although results at present are mixed and further work is required. The present study investigated the relationships between NO2, PM10, PM2.5 and ozone on dementia incidence in a cohort of English residents, aged 50 years and older, followed up between 2004 and 2017 (English Longitudinal Study of Ageing; n = 8525). Cox proportional hazards models were applied to investigate the association between time to incident dementia and exposure to pollutants at baseline. Hazard ratios (HRs) were calculated per 10 μg/m3. Models were adjusted for age, gender, physical activity, smoking status and level of education (the latter as a sensitivity analysis). A total of 389 dementia cases were identified during follow-up. An increased risk of developing dementia was suggested with increasing exposure to PM2.5 (HR: 1.10; 95% confidence interval (CI): 0.88, 1.37), whilst NO2, PM10 and ozone exhibited no discernible relationships. Hazard ratios were 0.97 (CI: 0.89, 1.05) for NO2; 0.98 (CI: 0.89, 1.08) for PM10; 1.01 (CI: 0.94, 1.09) for ozone. In the London sub-sample (39 dementia cases), a 10 μg/m3 increase in PM10 was found to be associated with increased risk of dementia by 16%, although not statistically significant (HR: 1.16; CI: 0.90, 1.48), and the magnitude of effect for PM2.5 increased, whilst NO2 and ozone exhibited similar associations as observed in the England-wide study. Further work is required to fully elucidate the potentially adverse associations between air pollution exposure and dementia incidence.
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Affiliation(s)
- Dylan Wood
- Environmental Research Group, School of Public Health, Imperial College, London W12 0BZ, UK
- MRC Centre for Environment and Health, Imperial College, London W12 0BZ, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College, London W12 0BZ, UK
| | - Dimitris Evangelopoulos
- Environmental Research Group, School of Public Health, Imperial College, London W12 0BZ, UK
- MRC Centre for Environment and Health, Imperial College, London W12 0BZ, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College, London W12 0BZ, UK
| | - Sean Beevers
- Environmental Research Group, School of Public Health, Imperial College, London W12 0BZ, UK
- MRC Centre for Environment and Health, Imperial College, London W12 0BZ, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College, London W12 0BZ, UK
| | - Nutthida Kitwiroon
- Environmental Research Group, School of Public Health, Imperial College, London W12 0BZ, UK
- MRC Centre for Environment and Health, Imperial College, London W12 0BZ, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College, London W12 0BZ, UK
| | - Klea Katsouyanni
- Environmental Research Group, School of Public Health, Imperial College, London W12 0BZ, UK
- MRC Centre for Environment and Health, Imperial College, London W12 0BZ, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College, London W12 0BZ, UK
- Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
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Long-term particulate matter 2.5 exposure and dementia: a systematic review and meta-analysis. Public Health 2022; 212:33-41. [DOI: 10.1016/j.puhe.2022.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 07/26/2022] [Accepted: 08/16/2022] [Indexed: 11/11/2022]
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Calderón-Garcidueñas L, Stommel EW, Lachmann I, Waniek K, Chao CK, González-Maciel A, García-Rojas E, Torres-Jardón R, Delgado-Chávez R, Mukherjee PS. TDP-43 CSF Concentrations Increase Exponentially with Age in Metropolitan Mexico City Young Urbanites Highly Exposed to PM 2.5 and Ultrafine Particles and Historically Showing Alzheimer and Parkinson's Hallmarks. Brain TDP-43 Pathology in MMC Residents Is Associated with High Cisternal CSF TDP-43 Concentrations. TOXICS 2022; 10:559. [PMID: 36287840 PMCID: PMC9611594 DOI: 10.3390/toxics10100559] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/07/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
Environmental exposures to fine particulate matter (PM2.5) and ultrafine particle matter (UFPM) are associated with overlapping Alzheimer’s, Parkinson’s and TAR DNA-binding protein 43 (TDP-43) hallmark protein pathologies in young Metropolitan Mexico City (MMC) urbanites. We measured CSF concentrations of TDP-43 in 194 urban residents, including 92 MMC children aged 10.2 ± 4.7 y exposed to PM2.5 levels above the USEPA annual standard and to high UFPM and 26 low pollution controls (11.5 ± 4.4 y); 43 MMC adults (42.3 ± 15.9 y) and 14 low pollution adult controls (33.1 ± 12.0 y); and 19 amyotrophic lateral sclerosis (ALS) patients (52.4 ± 14.1 y). TDP-43 neuropathology and cisternal CSF data from 20 subjects—15 MMC (41.1 ± 18.9 y) and 5 low pollution controls (46 ± 16.01 y)—were included. CSF TDP-43 exponentially increased with age (p < 0.0001) and it was higher for MMC residents. TDP-43 cisternal CSF levels of 572 ± 208 pg/mL in 6/15 MMC autopsy cases forecasted TDP-43 in the olfactory bulb, medulla and pons, reticular formation and motor nuclei neurons. A 16 y old with TDP-43 cisternal levels of 1030 pg/mL exhibited TDP-43 pathology and all 15 MMC autopsy cases exhibited AD and PD hallmarks. Overlapping TDP-43, AD and PD pathologies start in childhood in urbanites with high exposures to PM2.5 and UFPM. Early, sustained exposures to PM air pollution represent a high risk for developing brains and MMC UFPM emissions sources ought to be clearly identified, regulated, monitored and controlled. Prevention of deadly neurologic diseases associated with air pollution ought to be a public health priority and preventive medicine is key.
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Affiliation(s)
- Lilian Calderón-Garcidueñas
- College of Health, The University of Montana, Missoula, MT 59812, USA
- Universidad del Valle de México, Mexico City 14370, Mexico
| | - Elijah W. Stommel
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA
| | | | | | - Chih-Kai Chao
- College of Health, The University of Montana, Missoula, MT 59812, USA
| | | | | | - Ricardo Torres-Jardón
- Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | | | - Partha S. Mukherjee
- Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata 700108, India
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Oxidative Stress, Cytotoxic and Inflammatory Effects of Urban Ultrafine Road-Deposited Dust from the UK and Mexico in Human Epithelial Lung (Calu-3) Cells. Antioxidants (Basel) 2022; 11:antiox11091814. [PMID: 36139888 PMCID: PMC9495992 DOI: 10.3390/antiox11091814] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 09/07/2022] [Accepted: 09/09/2022] [Indexed: 12/18/2022] Open
Abstract
Road-deposited dust (RD) is a pervasive form of particulate pollution identified (typically via epidemiological or mathematical modelling) as hazardous to human health. Finer RD particle sizes, the most abundant (by number, not mass), may pose greater risk as they can access all major organs. Here, the first in vitro exposure of human lung epithelial (Calu-3) cells to 0−300 µg/mL of the ultrafine (<220 nm) fraction of road dust (UF-RDPs) from three contrasting cities (Lancaster and Birmingham, UK, and Mexico City, Mexico) resulted in differential oxidative, cytotoxic, and inflammatory responses. Except for Cd, Na, and Pb, analysed metals were most abundant in Mexico City UF-RDPs, which were most cytotoxic. Birmingham UF-RDPs provoked greatest ROS release (only at 300 µg/mL) and greatest increase in pro-inflammatory cytokine release. Lancaster UF-RDPs increased cell viability. All three UF-RDP samples stimulated ROS production and pro-inflammatory cytokine release. Mass-based PM limits seem inappropriate given the location-specific PM compositions and health impacts evidenced here. A combination of new, biologically relevant metrics and localised regulations appears critical to mitigating the global pandemic of health impacts of particulate air pollution and road-deposited dust.
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Li Z, Christensen GM, Lah JJ, Marcus M, Russell AG, Ebelt S, Waller LA, Hüls A. Neighborhood characteristics as confounders and effect modifiers for the association between air pollution exposure and subjective cognitive functioning. ENVIRONMENTAL RESEARCH 2022; 212:113221. [PMID: 35378125 PMCID: PMC9233127 DOI: 10.1016/j.envres.2022.113221] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 05/25/2023]
Abstract
BACKGROUND Air pollution has been associated with cognitive function in the elderly. Previous studies have not evaluated the simultaneous effect of neighborhood-level socioeconomic status (N-SES), which can be an essential source of bias. OBJECTIVES We explored N-SES as a confounder and effect modifier in a cross-sectional study of air pollution and subjective cognitive function. METHODS We included 12,058 participants age 50+ years from the Emory Healthy Aging Study in Metro Atlanta using the Cognitive Function Instrument (CFI) score as our outcome, with higher scores representing worse subjective cognitive function. We estimated 9-year average ambient carbon monoxide (CO), nitrogen oxides (NOx), and fine particulate matter (PM2.5) concentrations at residential addresses using a fusion of dispersion and chemical transport models. We collected census-tract level N-SES indicators and created two composite measures via principal component analysis and k-means clustering. Associations between pollutants and CFI and effect modification by N-SES were estimated via linear regression models adjusted for age, education, race and N-SES. RESULTS N-SES confounded the association between air pollution and CFI, independent of individual characteristics. We found significant effect modifications by N-SES for the association between air pollution and CFI (p-values<0.001) suggesting that effects of air pollution differ depending on N-SES. Participants living in areas with low N-SES were most vulnerable to air pollution. In the lowest N-SES urban areas, interquartile range (IQR) increases in CO, NOx, and PM2.5 were associated with 5.4% (95%-confidence interval, -0.2,11.3), 4.9% (-0.4,10.4), and 9.8% (2.2,18.0) changes in CFI, respectively. In lowest N-SES suburban areas, IQR increases in CO, NOx, and PM2.5 were associated with higher changes in CFI, namely 13.0% (0.9,26.5), 13.0% (-0.1,27.8), and 17.3% (2.5,34.2), respectively. DISCUSSION N-SES is an important confounder and effect modifier in our study. This finding could have implications for studying health effects of air pollution and identifying susceptible populations.
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Affiliation(s)
- Zhenjiang Li
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Grace M Christensen
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - James J Lah
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA
| | - Michele Marcus
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Stefanie Ebelt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lance A Waller
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Anke Hüls
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
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Firouraghi N, Kiani B, Jafari HT, Learnihan V, Salinas-Perez JA, Raeesi A, Furst M, Salvador-Carulla L, Bagheri N. The role of geographic information system and global positioning system in dementia care and research: a scoping review. Int J Health Geogr 2022; 21:8. [PMID: 35927728 PMCID: PMC9354285 DOI: 10.1186/s12942-022-00308-1] [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: 04/20/2022] [Accepted: 07/25/2022] [Indexed: 11/10/2022] Open
Abstract
Background Geographic Information System (GIS) and Global Positioning System (GPS), vital tools for supporting public health research, provide a framework to collect, analyze and visualize the interaction between different levels of the health care system. The extent to which GIS and GPS applications have been used in dementia care and research is not yet investigated. This scoping review aims to elaborate on the role and types of GIS and GPS applications in dementia care and research. Methods A scoping review was conducted based on Arksey and O’Malley’s framework. All published articles in peer-reviewed journals were searched in PubMed, Scopus, and Web of Science, subject to involving at least one GIS/GPS approach focused on dementia. Eligible studies were reviewed, grouped, and synthesized to identify GIS and GPS applications. The PRISMA standard was used to report the study. Results Ninety-two studies met our inclusion criteria, and their data were extracted. Six types of GIS/GPS applications had been reported in dementia literature including mapping and surveillance (n = 59), data preparation (n = 26), dementia care provision (n = 18), basic research (n = 18), contextual and risk factor analysis (n = 4), and planning (n = 1). Thematic mapping and GPS were most frequently used techniques in the dementia field. Conclusions Even though the applications of GIS/GPS methodologies in dementia care and research are growing, there is limited research on GIS/GPS utilization in dementia care, risk factor analysis, and dementia policy planning. GIS and GPS are space-based systems, so they have a strong capacity for developing innovative research based on spatial analysis in the area of dementia. The existing research has been summarized in this review which could help researchers to know the GIS/GPS capabilities in dementia research. Supplementary Information The online version contains supplementary material available at 10.1186/s12942-022-00308-1.
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Affiliation(s)
- Neda Firouraghi
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Behzad Kiani
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. .,École de Santé Publique de L'Université de Montréal (ESPUM), Québec, Montréal, Canada.
| | - Hossein Tabatabaei Jafari
- Visual and Decision Analytics Lab, Health Research Institute, Faculty of Health, University of Canberra, Canberra, Australia
| | - Vincent Learnihan
- Health Research Institute, University of Canberra, Building 23 Office B32, University Drive, Bruce, Canberra, ACT, 2617, Australia
| | - Jose A Salinas-Perez
- Department of Quantitative Methods,, Universidad Loyola Andalucía, Spain Faculty of Medicine, University of Canberra, Canberra, Australia
| | - Ahmad Raeesi
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - MaryAnne Furst
- Health Research Institute, University of Canberra, Building 23 Office B32, University Drive, Bruce, Canberra, ACT, 2617, Australia
| | - Luis Salvador-Carulla
- Mental Health Policy Unit, Health Research Institute, Faculty of Health, University of Canberra, Canberra, Australia.,Menzies Centre for Health Policy and Economics, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Nasser Bagheri
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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Calderón-Garcidueñas L, Ayala A. Air Pollution, Ultrafine Particles, and Your Brain: Are Combustion Nanoparticle Emissions and Engineered Nanoparticles Causing Preventable Fatal Neurodegenerative Diseases and Common Neuropsychiatric Outcomes? ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:6847-6856. [PMID: 35193357 DOI: 10.1021/acs.est.1c04706] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Exposure to particulate matter (PM) pollution damages the human brain. Fossil fuel burning for transportation energy accounts for a significant fraction of urban air and climate pollution. While current United States (US) standards limit PM ambient concentrations and emissions, they do not regulate explicitly ultrafine particles (UFP ≤ 100 nm in diameter). There is a growing body of evidence suggesting UFP may play a bigger role inflicting adverse health impacts than has been recognized, and in this perspective, we highlight effects on the brain, particularly of young individuals. UFP penetrate the body through nasal/olfactory, respiratory, gastrointestinal, placenta, and brain-blood barriers, translocating in the bloodstream and reaching the glymphatic and central nervous systems. We discuss one case study. The 21.8 million residents in the Metropolitan Mexico City (MMC) are regularly exposed to fine PM (PM2.5) above the US 12 μg/m3 annual average standards. Alzheimer's disease (AD), Parkinson's disease (PD), and TAR DNA-binding protein (TDP-43) pathologies and nanoparticles (NP ≤ 50 nm in diameter) in critical brain organelles have been documented in MMC children and young adult autopsies. MMC young residents have cognitive and olfaction deficits, altered gait and equilibrium, brainstem auditory evoked potentials, and sleep disorders. Higher risk of AD and vascular dementia associated with residency close to high traffic roadways have been documented. The US is not ready or prepared to adopt ambient air quality or emission standards for UFP and will continue to focus regulations only on the total mass of PM2.5 and PM10. Thus, this approach raises the question: are we dropping the ball? As research continues to answer the remaining questions about UFP sources, exposures, impacts, and controls, the precautionary principle should call us to accelerate and expand policy interventions to abate or eliminate UFP emissions and to mitigate UFP exposures. For residents of highly polluted cities, particularly in the developing world where there is likely older and dirtier vehicles, equipment, and fuels in use and less regulatory oversight, we should embark in a strong campaign to raise public awareness of the associations between high PM pollution, heavy traffic, UFP, NP, and neuropsychiatric outcomes, including dementia. Neurodegenerative diseases evolving from childhood in polluted, anthropogenic, and industrial environments ought to be preventable.
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Affiliation(s)
- Lilian Calderón-Garcidueñas
- University of Montana, Missoula, Montana 59812, United States
- Universidad del Valle de México, 14370 Mexico City, México
| | - Alberto Ayala
- Sacramento Metropolitan Air Quality Management District, Sacramento, California 95814, United States
- West Virginia University, Morgantown, West Virginia 26506, United States
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Parra KL, Alexander GE, Raichlen DA, Klimentidis YC, Furlong MA. Exposure to air pollution and risk of incident dementia in the UK Biobank. ENVIRONMENTAL RESEARCH 2022; 209:112895. [PMID: 35149105 PMCID: PMC8976829 DOI: 10.1016/j.envres.2022.112895] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 01/14/2022] [Accepted: 02/02/2022] [Indexed: 05/03/2023]
Abstract
BACKGROUND Air pollution may cause inflammatory and oxidative stress damage to the brain, leading to neurodegenerative disease. The association between air pollution and dementia, and modification by apolipoprotein E genotype 4 (APOE-ε4) has yet to be fully investigated. OBJECTIVES To examine associations of air pollution with three types of incident dementias (Alzheimer's disease (AD), frontotemporal dementia (FTD), and vascular dementia (VAD)), and their potential modification by APOE-ε4 genotype. METHODS The UK Biobank enrolled >500,000 participants (2006-2010) with ongoing follow-up. We used annual averages of air pollution (PM2.5, PM10, PM2.5-10, PM2.5absorbance, NO2, NOX) for 2010 scaled to interquartile ranges (IQR). We included individuals aged ≥60 years, with no dementia diagnosis prior to January 1, 2010. Time to incident dementia and follow-up time were reported from baseline (January 01, 2010) to last censor event (death, last hospitalization, or loss to follow-up). Cox proportional hazard ratios (HR) and 95% confidence intervals (95% CI) were calculated to estimate the association of air pollutants and incident dementia, and modification of these associations by APOE-ε4. RESULTS Our sample included 187,194 individuals (including N = 680 AD, N = 377 VAD, N = 63 FTD) with a mean follow-up of 7.04 years. We observed consistent associations of PM2.5 with greater risk of all-cause dementia (HR = 1.17, 95% CI: 1.10, 1.24) and AD (HR = 1.17, 95% CI: 1.06, 1.29). NO2 was also associated with greater risk of any incident dementia (HR = 1.18, 95% CI: 1.10, 1.25), AD (HR = 1.15, 95% CI: 1.04, 1.28) and VAD (HR = 1.18, 95% CI: 1.03, 1.35). APOE-ε4 did not modify the association between any air pollutants and dementia. DISCUSSION PM2.5 and NO2 levels were associated with several types of dementia, and these associations were not modified by APOE-ε4. Findings from the UK Biobank support and extend to other epidemiological evidence for the potential association of air pollutants with detrimental brain health during aging.
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Affiliation(s)
- Kimberly L Parra
- Department of Epidemiology & Biostatistics, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, USA.
| | - Gene E Alexander
- Departments of Psychology and Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, BIO5 Institute, and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - David A Raichlen
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, CA, USA
| | - Yann C Klimentidis
- Department of Epidemiology & Biostatistics, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, USA
| | - Melissa A Furlong
- Department of Community, Environment, and Policy, Division of Environmental Health Sciences, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, USA
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Yu Y, Li A, Li S, Zheng B, Ma J, Liu Y, Kou X, Xue Z. Mechanism of biochanin A alleviating PM 2.5-induced oxidative damage based on an XRCC1 knockout BEAS-2B cell model. Food Funct 2022; 13:5102-5114. [PMID: 35415734 DOI: 10.1039/d1fo04312a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PM2.5 induces oxidative/antioxidant system imbalance and excessive release of reactive oxygen species (ROS) and produces toxic effects and irreversible damage to the genetic material including chromosomes and DNA. Biochanin A (BCA), an isoflavone with strong antioxidant activity, effectively intervenes against PM2.5-induced oxidative damage. The X-ray repair cross-complementary protein 1 (XRCC1)/BER pathway involves DNA damage repair caused by oxidative stress. This paper aims to explore the mechanism of BCA alleviating oxidative DNA damage caused by PM2.5 by establishing the in vitro cell model based on CRISPR/Cas9 technology and combining it with mechanism pathway research. The results showed that PM2.5 exposure inhibited the expression of BER and NER pathway proteins and induced the overexpression of ERCC1. BCA showed an effective intervention in the toxicity of PM2.5 in normal cells, rather than XRCC1 knock-out cells. This laid a foundation for further exploring the key role of XRCC1 in PM2.5-caused oxidative damage and the BER/DNA damage repair pathway.
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Affiliation(s)
- Yue Yu
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
| | - Ang Li
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
| | - Shihao Li
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
| | - Bowen Zheng
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
| | - Juan Ma
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
| | - Yazhou Liu
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
| | - Xiaohong Kou
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
| | - Zhaohui Xue
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
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Abstract
PURPOSE OF REVIEW There is increasing interest in the links between exposure to air pollution and a range of health outcomes. The association with mental health however is much less established. This article reviews developments in the field over the past 12 months, highlighting the evidence for causation, associations between multiple air pollutants and mental health outcomes, and assesses the challenges of researching this topic. RECENT FINDINGS Increasingly rigorous methods are being applied to the investigation of a broader range of mental health outcomes. These methods include basic science, neuroimaging, and observational studies representing diverse geographical locations. Cohort studies with linked high-resolution air pollutant exposure data are common, facilitating advanced analytic methods. To date, meta-analyses have demonstrated small and significant positive associations between long-term exposure to fine particulate matter and depressive symptoms and cognitive decline. Methodological complexities in measuring exposure and outcome pose ongoing difficulties for the field. SUMMARY Literature on this topic has recently seen an appreciable expansion. Work that better estimates daily exposure, controls for complex confounders, and is driven by hypotheses founded in candidate causal mechanisms would help clarify associations, and inform targeted interventions and policymakers.
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Calderón-Garcidueñas L, Hernández-Luna J, Mukherjee PS, Styner M, Chávez-Franco DA, Luévano-Castro SC, Crespo-Cortés CN, Stommel EW, Torres-Jardón R. Hemispheric Cortical, Cerebellar and Caudate Atrophy Associated to Cognitive Impairment in Metropolitan Mexico City Young Adults Exposed to Fine Particulate Matter Air Pollution. TOXICS 2022; 10:toxics10040156. [PMID: 35448417 PMCID: PMC9028857 DOI: 10.3390/toxics10040156] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/14/2022] [Accepted: 03/22/2022] [Indexed: 12/16/2022]
Abstract
Exposures to fine particulate matter PM2.5 are associated with Alzheimer's, Parkinson's (AD, PD) and TDP-43 pathology in young Metropolitan Mexico City (MMC) residents. High-resolution structural T1-weighted brain MRI and/or Montreal Cognitive Assessment (MoCA) data were examined in 302 volunteers age 32.7 ± 6.0 years old. We used multivariate linear regressions to examine cortical surface area and thickness, subcortical and cerebellar volumes and MoCA in ≤30 vs. ≥31 years old. MMC residents were exposed to PM2.5 ~ 30.9 µg/m3. Robust hemispheric differences in frontal and temporal lobes, caudate and cerebellar gray and white matter and strong associations between MoCA total and index scores and caudate bilateral volumes, frontotemporal and cerebellar volumetric changes were documented. MoCA LIS scores are affected early and low pollution controls ≥ 31 years old have higher MoCA vs. MMC counterparts (p ≤ 0.0001). Residency in MMC is associated with cognitive impairment and overlapping targeted patterns of brain atrophy described for AD, PD and Fronto-Temporal Dementia (FTD). MMC children and young adult longitudinal studies are urgently needed to define brain development impact, cognitive impairment and brain atrophy related to air pollution. Identification of early AD, PD and FTD biomarkers and reductions on PM2.5 emissions, including poorly regulated heavy-duty diesel vehicles, should be prioritized to protect 21.8 million highly exposed MMC urbanites.
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Affiliation(s)
- Lilian Calderón-Garcidueñas
- College of Health, The University of Montana, Missoula, MT 59812, USA
- Escuela de Ciencias de la Salud, Universidad del Valle de México, Mexico City 14370, Mexico; (D.A.C.-F.); (S.C.L.-C.); (C.N.C.-C.)
- Correspondence: ; Tel.: +1-406-243-4785
| | | | - Partha S. Mukherjee
- Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata 700108, India;
| | - Martin Styner
- Neuro Image Research and Analysis Lab, University of North Carolina, Chapel Hill, NC 27599, USA;
| | - Diana A. Chávez-Franco
- Escuela de Ciencias de la Salud, Universidad del Valle de México, Mexico City 14370, Mexico; (D.A.C.-F.); (S.C.L.-C.); (C.N.C.-C.)
| | - Samuel C. Luévano-Castro
- Escuela de Ciencias de la Salud, Universidad del Valle de México, Mexico City 14370, Mexico; (D.A.C.-F.); (S.C.L.-C.); (C.N.C.-C.)
| | - Celia Nohemí Crespo-Cortés
- Escuela de Ciencias de la Salud, Universidad del Valle de México, Mexico City 14370, Mexico; (D.A.C.-F.); (S.C.L.-C.); (C.N.C.-C.)
| | - Elijah W. Stommel
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA;
| | - Ricardo Torres-Jardón
- Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico;
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Duchesne J, Gutierrez LA, Carrière I, Mura T, Chen J, Vienneau D, de Hoogh K, Helmer C, Jacquemin B, Berr C, Mortamais M. Exposure to ambient air pollution and cognitive decline: Results of the prospective Three-City cohort study. ENVIRONMENT INTERNATIONAL 2022; 161:107118. [PMID: 35147081 DOI: 10.1016/j.envint.2022.107118] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/13/2022] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Growing epidemiological evidence suggests an adverse relationship between exposure to air pollutants and cognitive decline. However, there is still some heterogeneity in the findings, with inconsistent results depending on the pollutant and the cognitive domain considered. We wanted to determine whether air pollution was associated with global and domain-specific cognitive decline. METHODS This analysis used data from the French Three-City prospective cohort (participants aged 65 and older at recruitment and followed for up to 12 years). A battery of cognitive tests was administered at baseline and every 2 years, to assess global cognition (Mini Mental State Examination, MMSE), visual memory (Benton Visual Retention Test), semantic fluency (Isaacs Set Test) and executive functions (Trail Making Tests A and B). Exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2) and black carbon (BC) at the participants' residential address during the 5 years before the baseline visit was estimated with land use regression models. Linear mixed models and latent process mixed models were used to assess the association of each pollutant with global and domain-specific cognitive decline. RESULTS The participants' (n = 6380) median age was 73.4 years (IQR: 8.0), and 61.5% were women. At baseline, the median MMSE score was 28 (IQR: 3). Global cognition decline, assessed with the MMSE, was slightly accelerated among participants with higher PM2.5 exposure: one IQR increment in PM2.5 (1.5 µg/m3) was associated with accelerated decline (β: -0.0060 [-0.0112; -0.0007] standard unit per year). Other associations were inconsistent in direction, and of small magnitude. CONCLUSION In this large population-based cohort, higher PM2.5 exposure was associated with accelerated global cognition decline. We did not detect any significant association for the specific cognitive domains or the other pollutants. Evidence concerning PM2.5 effects on cognition is growing, but more research is needed on other ambient air pollutants.
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Affiliation(s)
- Jeanne Duchesne
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, Inserm, Montpellier, France
| | - Laure-Anne Gutierrez
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, Inserm, Montpellier, France
| | - Isabelle Carrière
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, Inserm, Montpellier, France
| | - Thibault Mura
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, Inserm, Montpellier, France
| | - Jie Chen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, 3584 CM Utrecht, the Netherlands
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Catherine Helmer
- INSERM, Univ Bordeaux, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France
| | - Bénédicte Jacquemin
- INSERM, Univ Rennes, EHESP, Irset Institut de Recherche en Santé, Environnement et Travail, UMR-S 1085, Rennes, France
| | - Claudine Berr
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, Inserm, Montpellier, France.
| | - Marion Mortamais
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, Inserm, Montpellier, France
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Calderón-Garcidueñas L, Chávez-Franco DA, Luévano-Castro SC, Macías-Escobedo E, Hernández-Castillo A, Carlos-Hernández E, Franco-Ortíz A, Castro-Romero SP, Cortés-Flores M, Crespo-Cortés CN, Torres-Jardón R, Stommel EW, Rajkumar RP, Mukherjee PS. Metals, Nanoparticles, Particulate Matter, and Cognitive Decline. Front Neurol 2022; 12:794071. [PMID: 35126295 PMCID: PMC8815025 DOI: 10.3389/fneur.2021.794071] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 12/01/2021] [Indexed: 12/11/2022] Open
Abstract
Exposure to metals is ubiquitous and emission sources include gasoline, diesel, smoke from wildfires, contaminated soil, water and food, medical implants, waste recycling facilities, subway exposures, and occupational environments. PM2.5 exposure is associated with impaired cognitive performance, neurobehavioral alterations, incidence of dementia, and Alzheimer's disease (AD) risk. Heavy-duty diesel vehicles are major emitters of metal-rich PM2.5 and nanoparticles in Metropolitan Mexico City (MMC). Cognitive impairment was investigated in 336 clinically healthy, middle-class, Mexican volunteers, age 29.2 ± 13.3 years with 13.7 ± 2.4 years of education using the Montreal Cognitive Assessment (MoCA). MoCA scores varied with age and residency in three Mexican cities with cognition deficits impacting ~74% of the young middle-class population (MoCA ≤ 25). MMC residents ≥31 years (x¯46.2 ± 11.8 y) had MoCA x¯20.4 ± 3.4 vs. low pollution controls 25.2 ± 2.4 (p < 0.0001). Formal education years positively impacted MoCA total scores across all participants (p < 0.0001). Residency in PM2.5 polluted cities impacts multi-domain cognitive performance. Identifying and making every effort to lower key pollutants impacting neural risk trajectories and monitoring cognitive longitudinal performance are urgent. PM2.5 emission control should be prioritized, metal emissions targeted, and neuroprevention interventions implemented early.
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Affiliation(s)
- Lilian Calderón-Garcidueñas
- Biomedical Sciences, University of Montana, Missoula, MT, United States.,Universidad del Valle de México, Mexico City, Mexico
| | | | | | | | | | | | | | | | | | | | | | - Elijah W Stommel
- Department of Neurology, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine, Lebanon, NH, United States
| | - Ravi Philip Rajkumar
- Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India
| | - Partha S Mukherjee
- Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata, India
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Wang X, Younan D, Millstein J, Petkus AJ, Garcia E, Beavers DP, Espeland MA, Chui HC, Resnick SM, Gatz M, Kaufman JD, Wellenius GA, Whitsel EA, Manson JE, Rapp SR, Chen JC. Association of improved air quality with lower dementia risk in older women. Proc Natl Acad Sci U S A 2022; 119:e2107833119. [PMID: 34983871 PMCID: PMC8764698 DOI: 10.1073/pnas.2107833119] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2021] [Indexed: 12/24/2022] Open
Abstract
Late-life ambient air pollution is a risk factor for brain aging, but it remains unknown if improved air quality (AQ) lowers dementia risk. We studied a geographically diverse cohort of older women dementia free at baseline in 2008 to 2012 (n = 2,239, aged 74 to 92). Incident dementia was centrally adjudicated annually. Yearly mean concentrations of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) were estimated using regionalized national universal kriging models and averaged over the 3-y period before baseline (recent exposure) and 10 y earlier (remote exposure). Reduction from remote to recent exposures was used as the indicator of improved AQ. Cox proportional hazard ratios (HRs) for dementia risk associated with AQ measures were estimated, adjusting for sociodemographic, lifestyle, and clinical characteristics. We identified 398 dementia cases during follow up (median = 6.1 y). PM2.5 and NO2 reduced significantly over the 10 y before baseline. Larger AQ improvement was associated with reduced dementia risks (HRPM2.5 0.80 per 1.78 μg/m3, 95% CI 0.71-0.91; HRNO2 0.80 per 3.91 parts per billion, 95% CI 0.71-0.90), equivalent to the lower risk observed in women 2.4 y younger at baseline. Higher PM2.5 at baseline was associated with higher dementia risk (HRPM2.5 1.16 per 2.90 μg/m3, 95% CI 0.98-1.38), but the lower dementia risk associated with improved AQ remained after further adjusting for recent exposure. The observed associations did not substantially differ by age, education, geographic region, Apolipoprotein E e4 genotypes, or cardiovascular risk factors. Long-term AQ improvement in late life was associated with lower dementia risk in older women.
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Affiliation(s)
- Xinhui Wang
- Department of Neurology, University of Southern California, Los Angeles, CA 90033
| | - Diana Younan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032;
| | - Joshua Millstein
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032
| | - Andrew J Petkus
- Department of Neurology, University of Southern California, Los Angeles, CA 90033
| | - Erika Garcia
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032
| | - Daniel P Beavers
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Mark A Espeland
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Helena C Chui
- Department of Neurology, University of Southern California, Los Angeles, CA 90033
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224
| | - Margaret Gatz
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA 90089
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195
- Department of Medicine, University of Washington, Seattle, WA 98195
- Department of Epidemiology, University of Washington, Seattle, WA 98195
| | | | - Eric A Whitsel
- Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, NC 27599
- Department of Medicine, UNC School of Medicine, Chapel Hill, NC 27516
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115
| | - Stephen R Rapp
- Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Jiu-Chiuan Chen
- Department of Neurology, University of Southern California, Los Angeles, CA 90033;
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032
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Thiankhaw K, Chattipakorn N, Chattipakorn SC. PM2.5 exposure in association with AD-related neuropathology and cognitive outcomes. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 292:118320. [PMID: 34634399 DOI: 10.1016/j.envpol.2021.118320] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/30/2021] [Accepted: 10/07/2021] [Indexed: 06/13/2023]
Abstract
Particulate matter with a diameter of less than 2.5 μm or PM2.5 is recognized worldwide as a cause of public health problems, mainly associated with respiratory and cardiovascular diseases. There is accumulating evidence to show that exposure to PM2.5 has a crucial causative role in various neurological disorders, the main ones being dementia and Alzheimer's disease (AD). PM2.5 can activate glial and microglial activity, resulting in neuroinflammation, increased intracellular ROS production, and ultimately neuronal apoptosis. PM2.5 also causes the alteration of neuronal morphology and synaptic changes and increases AD biomarkers, including amyloid-beta and hyperphosphorylated-tau, as well as raising the levels of enzymes involved in the amyloidogenic pathway. Clinical trials have highlighted the correlation between exposure to PM2.5, dementia, and AD diagnosis. This correlation is also displayed by concordant evidence from animal models, as indicated by increased AD biomarkers in cerebrospinal fluid and markers of vascular injury. Blood-brain barrier disruption is another aggravated phenomenon demonstrated in people at risk who are exposed to PM2.5. This review summarizes and discusses studies from in vitro, in vivo, and clinical studies on causative relationships of PM2.5 exposure to AD-related neuropathology. Conflicting data are also examined in order to determine the actual association between ambient air pollution and neurodegenerative diseases.
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Affiliation(s)
- Kitti Thiankhaw
- Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Nipon Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Siriporn C Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, 50200, Thailand; Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, 50200, Thailand.
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Sarmadi M, Rahimi S, Rezaiemanesh MR, Yektay S. Association between water and sanitation, air and emission pollution and climate change and neurological disease distribution: A study based on GBD data. CHEMOSPHERE 2021; 285:131522. [PMID: 34273694 DOI: 10.1016/j.chemosphere.2021.131522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 06/25/2021] [Accepted: 07/08/2021] [Indexed: 06/13/2023]
Abstract
Along with the urbanization and industrialization of countries, the prevalence of chronic diseases has increased. There is ample evidence that ambient pollution can play a major role in these diseases. This study aimed to investigate the association between neurological disorders (NDs) and their subtypes with environmental factors. In this country-level study, we used the age-standardized prevalence and incidence rate (per 100,000 populations) of NDs and its subtypes that have been taken from the Global Burden of Disease (GBD) database in 2019. We used correlation and regression analysis to assess the association between variables. Also, multivariable regression analysis was performed to identify the most important variables in NDs distribution. Age-adjusted NDs incidence rate was significantly higher in developed countries compared to developing countries (11345.25 (95% CI: 11634.88-11055.62) and 9956.37 (95% CI: 10138.66-9774.08)). Association results indicated that the impact of water and sanitation could be more effective than air pollution on NDs. The increase in water and sanitation index levels was positively correlated with NDs incidence rate and prevalence (regression coefficient (b) = 38.011 (SE = 6.50) and b = 118.84 (SE = 20.64), p < 0.001, respectively) after adjusting socio-economic and demographic factors. Furthermore, the incidence of NDs was negatively correlated with the increase in air quality (b = -16.30 (SE = 7.25), p = 0.008). Water and sanitation and their related factors are plausible factors in the distribution of NDs, which may be linked to the potential role of air and water pollution, such as heavy metals and particle matters. These results can be used by politicians and municipal service planners for future planning.
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Affiliation(s)
- Mohammad Sarmadi
- Department of Environmental Health Engineering, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran; Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.
| | - Sajjad Rahimi
- Department of Environmental Health Engineering, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran; Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
| | - Mohammad Reza Rezaiemanesh
- Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran; Department of Laboratory Sciences, School of Paramedical Sciences, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
| | - Sama Yektay
- Student Research Committee, Department of Environmental Health, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
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A national cohort study (2000-2018) of long-term air pollution exposure and incident dementia in older adults in the United States. Nat Commun 2021; 12:6754. [PMID: 34799599 PMCID: PMC8604909 DOI: 10.1038/s41467-021-27049-2] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 11/01/2021] [Indexed: 12/17/2022] Open
Abstract
Air pollution may increase risk of Alzheimer’s disease and related dementias (ADRD) in the U.S., but the extent of this relationship is unclear. Here, we constructed two national U.S. population-based cohorts of those aged ≥65 from the Medicare Chronic Conditions Warehouse (2000–2018), combined with high-resolution air pollution datasets, to investigate the association of long-term exposure to ambient fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3) with dementia and AD incidence, respectively. We identified ~2.0 million incident dementia cases (N = 12,233,371; dementia cohort) and ~0.8 million incident AD cases (N = 12,456,447; AD cohort). Per interquartile range (IQR) increase in the 5-year average PM2.5 (3.2 µg/m3), NO2 (11.6 ppb), and warm-season O3 (5.3 ppb) over the past 5 years prior to diagnosis, the hazard ratios (HRs) were 1.060 (95% confidence interval [CI]: 1.054, 1.066), 1.019 (95% CI: 1.012, 1.026), and 0.990 (95% CI: 0.987, 0.993) for incident dementias, and 1.078 (95% CI: 1.070, 1.086), 1.031 (95% CI: 1.023, 1.039), and 0.982 (95%CI: 0.977, 0.986) for incident AD, respectively, for the three pollutants. For both outcomes, concentration-response relationships for PM2.5 and NO2 were approximately linear. Our study suggests that exposures to PM2.5 and NO2 are associated with incidence of dementia and AD. Air pollution has been linked to neurodegenerative disease. Here the authors carried out a population-based cohort study to investigate the association between long-term exposure to PM2.5, NO2, and warm-season O3 on dementia and Alzheimer’s disease incidence in the United States.
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Cao Z, Guo G, Wu Z, Li S, Sun H, Guan W. Mapping Total Exceedance PM 2.5 Exposure Risk by Coupling Social Media Data and Population Modeling Data. GEOHEALTH 2021; 5:e2021GH000468. [PMID: 34786531 PMCID: PMC8576961 DOI: 10.1029/2021gh000468] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/25/2021] [Accepted: 10/20/2021] [Indexed: 05/06/2023]
Abstract
The PM2.5 exposure risk assessment is the foundation to reduce its adverse effects. Population survey-related data have been deficient in high spatiotemporal detailed descriptions. Social media data can quantify the PM2.5 exposure risk at high spatiotemporal resolutions. However, due to the no-sample characteristics of social media data, PM2.5 exposure risk for older adults is absent. We proposed combining social media data and population survey-derived data to map the total PM2.5 exposure risk. Hourly exceedance PM2.5 exposure risk indicators based on population modeling (HEPEpmd) and social media data (HEPEsm) were developed. Daily accumulative HEPEsm and HEPEpsd ranged from 0 to 0.009 and 0 to 0.026, respectively. Three peaks of HEPEsm and HEPEpsd were observed at 13:00, 18:00, and 22:00. The peak value of HEPEsm increased with time, which exhibited a reverse trend to HEPEpsd. The spatial center of HEPEsm moved from the northwest of the study area to the center. The spatial center of HEPEpsd moved from the northwest of the study area to the southwest of the study area. The expansion area of HEPEsm was nearly 1.5 times larger than that of HEPEpsd. The expansion areas of HEPEpsd aggregated in the old downtown, in which the contribution of HEPEpsd was greater than 90%. Thus, this study introduced various source data to build an easier and reliable method to map total exceedance PM2.5 exposure risk. Consequently, exposure risk results provided foundations to develop PM2.5 pollution mitigation strategies as well as scientific supports for sustainability and eco-health achievement.
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Affiliation(s)
- Zheng Cao
- School of Geographical SciencesGuangzhou UniversityGuangzhouChina
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)GuangzhouChina
| | - Guanhua Guo
- School of Geographical SciencesGuangzhou UniversityGuangzhouChina
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)GuangzhouChina
| | - Zhifeng Wu
- School of Geographical SciencesGuangzhou UniversityGuangzhouChina
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)GuangzhouChina
| | - Shaoying Li
- School of Geographical SciencesGuangzhou UniversityGuangzhouChina
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)GuangzhouChina
| | - Hui Sun
- School of Geographical SciencesGuangzhou UniversityGuangzhouChina
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)GuangzhouChina
| | - Wenchuan Guan
- School of Geographical SciencesGuangzhou UniversityGuangzhouChina
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