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Zhang J, Luo L, Chen G, Ai B, Wu G, Gao Y, Lip GYH, Lin H, Chen Y. Associations of ambient air pollution with incidence and dynamic progression of atrial fibrillation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175710. [PMID: 39181259 DOI: 10.1016/j.scitotenv.2024.175710] [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: 01/30/2024] [Revised: 07/30/2024] [Accepted: 08/20/2024] [Indexed: 08/27/2024]
Abstract
The influence of air pollution on dynamic changes in clinical state from healthy to atrial fibrillation (AF), further AF-related complications and ultimately, death are unclear. We aimed to investigate the relationships between air pollution and the occurrence and progression trajectories of AF. We retrieved 442,150 participants free of heart failure (HF), myocardial infarction (MI), stroke and dementia at baseline from UK Biobank. Exposures to air pollution for each transition stage were estimated at the geocoded residential address of each participant using the bilinear interpolation approach. The outcomes were incident AF, complications, and death. Multi-stage models were used to evaluate the associations between air pollution and dynamic progression of AF. Over a 12.6-year median follow-up, a total of 21,670 incident AF patients were identified, of whom, 4103 developed complications and 1331 died. PM2.5, PM10, NOx and NO2 were differentially positively associated, while O3 was negatively associated with risks of progression trajectories of AF. PM2.5 exposure was significantly associated with an increased risk of progression. The associations of PM2.5, PM10, NOx, and NO2 on incident AF were generally more pronounced compared to other transitions. The cumulative transition probabilities were generally higher in individuals with higher exposure levels of PM2.5, PM10, NOx, and NO2 and lower exposure to O3. Air pollution could potentially have a role in increasing the risk of both the occurrence and progression of AF, emphasizing the significance of air pollution interventions in both the primary prevention of AF and the management of AF-related outcomes.
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Affiliation(s)
- Junguo Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Linna Luo
- Department of Endoscopy, Sun Yat-sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ge Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Baozhuo Ai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Gan Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yanhui Gao
- Department of Medical Statistics, School of Basic Medicine and Public Health, Jinan University, Guangzhou, China
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom; Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Yangxin Chen
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
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Peters S, Bouma F, Hoek G, Janssen N, Vermeulen R. Air pollution exposure and mortality from neurodegenerative diseases in the Netherlands: A population-based cohort study. ENVIRONMENTAL RESEARCH 2024; 259:119552. [PMID: 38964584 DOI: 10.1016/j.envres.2024.119552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Long-term exposure to ambient air pollution has been linked with all-cause mortality and cardiovascular and respiratory diseases. Suggestive associations between ambient air pollutants and neurodegeneration have also been reported, but due to the small effect and relatively rare outcomes evidence is yet inconclusive. Our aim was to investigate the associations between long-term air pollution exposure and mortality from neurodegenerative diseases. METHODS A Dutch national cohort of 10.8 million adults aged ≥30 years was followed from 2013 until 2019. Annual average concentrations of air pollutants (ultra-fine particles (UFP), nitrogen dioxide (NO2), fine particles (PM2.5 and PM10) and elemental carbon (EC)) were estimated at the home address at baseline, using land-use regression models. The outcome variables were mortality due to amyotrophic lateral sclerosis (ALS), Parkinson's disease, non-vascular dementia, Alzheimer's disease, and multiple sclerosis (MS). Hazard ratios (HR) were estimated using Cox models, adjusting for individual and area-level socio-economic status covariates. RESULTS We had a follow-up of 71 million person-years. The adjusted HRs for non-vascular dementia were significantly increased for NO2 (1.03; 95% confidence interval (CI) 1.02-1.05) and PM2.5 (1.02; 95%CI 1.01-1.03) per interquartile range (IQR; 6.52 and 1.47 μg/m3, respectively). The association with PM2.5 was also positive for ALS (1.02; 95%CI 0.97-1.07). These associations remained positive in sensitivity analyses and two-pollutant models. UFP was not associated with any outcome. No association with air pollution was found for Parkinson's disease and MS. Inverse associations were found for Alzheimer's disease. CONCLUSION Our findings, using a cohort of more than 10 million people, provide further support for associations between long-term exposure to air pollutants (PM2.5 and particularly NO2) and mortality of non-vascular dementia. No associations were found for Parkinson and MS and an inverse association was observed for Alzheimer's disease.
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Affiliation(s)
- Susan Peters
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands.
| | - Femke Bouma
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - Nicole Janssen
- National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, the Netherlands
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Chen M, Chen S, Liu K, Ye Z, Qian Y, He J, Xia J, Xing P, Yang J, Wa Ng Y, Wu T. Putative Adverse Outcome Pathway for Parkinson's Disease-like Symptoms Induced by Silicon Quantum Dots based on In Vivo/ Vitro Approaches. ACS NANO 2024; 18:25271-25289. [PMID: 39186478 DOI: 10.1021/acsnano.4c08516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/28/2024]
Abstract
Given the commercial proliferation of silicon quantum dots (SiQDs) and their inevitable environmental dispersal, this study critically examines their biological and public health implications, specifically regarding Parkinson's disease. The study investigated the toxicological impact of SiQDs on the onset and development of PD-like symptoms through the induction of ferroptosis, utilizing both in vivo [Caenorhabditis elegans (C. elegans)] and in vitro (SH-SY5Y neuroblastoma cell line) models. Our findings demonstrated that SiQDs, characterized by their stable and water-soluble physicochemical properties, tended to accumulate in neuronal tissues. This accumulation precipitated dopaminergic neurodegeneration, manifested as diminished dopamine-dependent behaviors, and escalated the expression of PD-specific genes in C. elegans. Importantly, the results revealed that SiQDs induced ferritinophagy, a selective autophagy pathway that triggered ferroptosis and resulted in PD-like symptoms, even exacerbating disease progression in biological models. These insights were incorporated into a putatively qualitative and quantitative adverse outcome pathway framework, highlighting the serious neurodegenerative risks posed by SiQDs through ferroptosis pathways. This study provides a multidisciplinary analysis critical for informing policy on the regulation of SiQDs exposure to safeguard susceptible populations and guiding the responsible development of nanotechnologies impacting environmental and public health.
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Affiliation(s)
- Min Chen
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
- Yancheng Kindergarten Teachers College, Yancheng 224005, P. R. China
| | - Siyuan Chen
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
| | - Kehan Liu
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
| | - Zongjian Ye
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
| | - Yijing Qian
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
| | - Jing He
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
| | - Jieyi Xia
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
| | - Pengcheng Xing
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
| | - Jiafu Yang
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
| | - Yán Wa Ng
- Department of Toxicology & Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, School of Public Health, Anhui Medical University, Hefei 230032, P. R. China
| | - Tianshu Wu
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing 210009, P. R. China
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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] [MESH Headings] [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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Qiang N, Bao Y, Li Y, Zhang N, Zhou Y, Deng X, Han L, Ran J. Associations of long-term exposure to low-level PM 2.5 and brain disorders in 260,922 middle-aged and older adults. CHEMOSPHERE 2024; 362:142703. [PMID: 38925519 DOI: 10.1016/j.chemosphere.2024.142703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 05/22/2024] [Accepted: 06/24/2024] [Indexed: 06/28/2024]
Abstract
Long-term exposure to high-level ambient PM2.5 was associated with increased risks of brain disorders, while the associations remain uncertain when the exposure is lower than current air quality standards in numerous countries. This study aimed to assess the effects of PM2.5 exposure on the brain system in the population with annual mean concentrations ≤15 μg/m3. We analyzed data from 260,922 participants without preexisting brain diseases at baseline in the UK Biobank. The geographical distribution of PM2.5 in 2010 was estimated by a land use regression model and linked with individual residential address. We investigated associations of ambient PM2.5 with incident neurological (dementia, Parkinson's diseases [PD], epilepsy, and migraine) and psychiatric (major depressive disorder [MDD] and anxiety disorder) diseases through Cox proportional hazard models. We further estimated the links with brain imaging phenotypes by neuroimaging analysis. Results showed that in the population with PM2.5 concentrations ≤15 μg/m3, each interquartile range (IQR, 1.28 μg/m3) increment in PM2.5 was related to incidence risks of dementia, epilepsy, migraine, MDD, and anxiety disorder with hazard ratios of 1.08 (95% confidence interval [CI]: 1.03, 1.13), 1.12 (1.05, 1.20), 1.07 (1.00, 1.13), 1.06 (1.03, 1.09), and 1.05 (1.02, 1.08), respectively. We did not observe a significant association with PD. The association with dementia was stronger among the population with poor cardiovascular health (measured by Life's Essential 8) than the counterpart (P for interaction = 0.037). Likewise, per IQR increase was associated with specific brain imaging phenotypes, including volumes of total brain (β = -0.036; 95% CI: -0.050, -0.022), white matter (-0.030; -0.046, -0.014), grey matter (-0.030; -0.042, -0.017), respectively. The findings suggest long-term exposure to ambient PM2.5 at low-level still has an adverse impact on the neuro-psychiatric systems. The brain-relevant epidemiological assessment suggests that each country should update the standard for ambient PM2.5 following the World Health Organization Air Quality Guidelines 2021.
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Affiliation(s)
- Ne Qiang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yujia Bao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yongxuan Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Na Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yanqiu Zhou
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaobei Deng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lefei Han
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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Feng Y, Li M, Hao X, Ma D, Guo M, Zuo C, Li S, Liang Y, Hao C, Wang Z, Sun Y, Qi S, Sun S, Shi C. Air pollution, greenspace exposure and risk of Parkinson's disease: a prospective study of 441,462 participants. J Neurol 2024; 271:5233-5245. [PMID: 38847847 DOI: 10.1007/s00415-024-12492-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/04/2024] [Accepted: 03/04/2024] [Indexed: 08/13/2024]
Abstract
BACKGROUND The current understandings of the relationship between air pollution (AP), greenspace exposure and Parkinson's Disease (PD) remain inconclusive. METHODS We engaged 441,462 participants from the UK Biobank who were not diagnosed with PD. Utilizing Cox proportional hazard regression model, relationships between AP [nitrogen dioxide (NO2), and nitrogen oxides (NOX), particulate matter < 2.5 μm in aerodynamic diameter(PM2.5), coarse particulate matter between 2.5 μm and 10 μm in aerodynamic diameter(PM2.5-10), particulate matter < 10 μm in aerodynamic diameter(PM10)], greenspace exposure, and PD risk were determined independently. Our analyses comprised three models, adjusted for covariates, and affirmed through six sensitivity analyses to bolster the robustness of our findings. Moreover, mediation analysis was deployed to discern the mediating effect of AP between greenspaces and PD. RESULTS During a median follow-up of 12.23 years (5,574,293 person-years), there were 3,293 PD events. Each interquartile (IQR) increment in NO2 and PM10 concentrations were associated with 10% and 8% increase in PD onset risk, while the increases in NOX, PM2.5 and PM2.5-10 were not associated with PD risk. Additionally, greenspace may safeguard by reducing NO2 and PM10 levels, with the effect mediated by NO2 and PM10 in greenspace-PD relationship. CONCLUSION Our findings indicate that an IQR increase in ambient NO2 and PM10 concentrations was associated with risk of PD development, while other pollutants (NOX, PM2.5 and PM2.5-10) were not associated with PD risk. Firstly, we find that augmented exposure to greenspace was associated with the lower PD risk by reducing NO2 and PM10 levels.
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Affiliation(s)
- YanMei Feng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - MengJie Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - XiaoYan Hao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - DongRui Ma
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - MengNan Guo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - ChunYan Zuo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - ShuangJie Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - YuanYuan Liang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - ChenWei Hao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - ZhiYun Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - YueMeng Sun
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - ShaSha Qi
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China
| | - ShiLei Sun
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China.
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, Henan, China.
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450000, Henan, China.
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, Henan, China.
| | - ChangHe Shi
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1 Jian-She East Road, Zhengzhou, 450000, Henan, China.
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, Henan, China.
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450000, Henan, China.
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, Henan, China.
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Chen TB, Liang CS, Chang CM, Yang CC, Yu HL, Wu YS, Huang WJ, Tsai IJ, Yan YH, Wei CY, Yang CP. Association Between Exposure to Particulate Matter and the Incidence of Parkinson's Disease: A Nationwide Cohort Study in Taiwan. J Mov Disord 2024; 17:313-321. [PMID: 38887056 PMCID: PMC11300401 DOI: 10.14802/jmd.24003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/20/2024] [Accepted: 06/18/2024] [Indexed: 06/20/2024] Open
Abstract
OBJECTIVE Emerging evidence suggests that air pollution exposure may increase the risk of Parkinson's disease (PD). We aimed to investigate the association between exposure to fine particulate matter (PM2.5) and the risk of incident PD nationwide. METHODS We utilized data from the Taiwan National Health Insurance Research Database, which is spatiotemporally linked with air quality data from the Taiwan Environmental Protection Administration website. The study population consisted of participants who were followed from the index date (January 1, 2005) until the occurrence of PD or the end of the study period (December 31, 2017). Participants who were diagnosed with PD before the index date were excluded. To evaluate the association between exposure to PM2.5 and incident PD risk, we employed Cox regression to estimate the hazard ratio and 95% confidence interval (CI). RESULTS A total of 454,583 participants were included, with a mean (standard deviation) age of 63.1 (9.9) years and a male proportion of 50%. Over a mean follow-up period of 11.1 (3.6) years, 4% of the participants (n = 18,862) developed PD. We observed a significant positive association between PM2.5 exposure and the risk of PD, with a hazard ratio of 1.22 (95% CI, 1.20-1.23) per interquartile range increase in exposure (10.17 μg/m3) when adjusting for both SO2 and NO2. CONCLUSION We provide further evidence of an association between PM2.5 exposure and the risk of PD. These findings underscore the urgent need for public health policies aimed at reducing ambient air pollution and its potential impact on PD.
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Affiliation(s)
- Ting-Bin Chen
- Department of Neurology, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Neurology, Kuang Tien General Hospital, Taichung, Taiwan
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Ching-Mao Chang
- Center for Traditional Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Institute of Traditional Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Cheng-Chia Yang
- Department of Healthcare Administration, Asia University, Taichung, Taiwan
| | - Hwa-Lung Yu
- Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan
| | - Yuh-Shen Wu
- Department of Safety, Health, and Environmental Engineering, Hung Kuang University, Taichung, Taiwan
| | - Winn-Jung Huang
- Department of Safety, Health, and Environmental Engineering, Hung Kuang University, Taichung, Taiwan
| | - I-Ju Tsai
- Department of Medical Research, Kuang Tien General Hospital, Taichung, Taiwan
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Yuan-Horng Yan
- Department of Medical Research, Kuang Tien General Hospital, Taichung, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kuang Tien General Hospital, Taichung, Taiwan
- Department of Nutrition and Institute of Biomedical Nutrition, Hung Kuang University, Taichung, Taiwan
| | - Cheng-Yu Wei
- Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan
- Department of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Chun-Pai Yang
- Department of Neurology, Kuang Tien General Hospital, Taichung, Taiwan
- Department of Safety, Health, and Environmental Engineering, Hung Kuang University, Taichung, Taiwan
- Department of Nutrition and Institute of Biomedical Nutrition, Hung Kuang University, Taichung, Taiwan
- Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung, Taiwan
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Cacialli P, Ricci S, Servetto GP, Franceschini V, Ruiz-Zepeda F, Vigliaturo R. Altered Morpho-Functional Features of Neurogenesis in Zebrafish Embryos Exposed to Non-Combustion-Derived Magnetite. Int J Mol Sci 2024; 25:6459. [PMID: 38928164 PMCID: PMC11203806 DOI: 10.3390/ijms25126459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 05/30/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024] Open
Abstract
Neurogenesis is the process by which new brain cells are formed. This crucial event emerges during embryonic life and proceeds in adulthood, and it could be influenced by environmental pollution. Non-combustion-derived magnetite represents a portion of the coarse particulate matter (PM) contributing to air and water pollution in urban settings. Studies on humans have reported that magnetite and other iron oxides have significant damaging effects at a central level, where these particles accumulate and promote oxidative stress. Similarly, magnetite nanoparticles can cross the placenta and damage the embryo brain during development, but the impact on neurogenesis is still unknown. Furthermore, an abnormal Fe cation concentration in cells and tissues might promote reactive oxygen species (ROS) generation and has been associated with multiple neurodegenerative conditions. In the present study, we used zebrafish as an in vivo system to analyze the specific effects of magnetite on embryonic neurogenesis. First, we characterized magnetite using mineralogical and spectroscopic analyses. Embryos treated with magnetite at sub-lethal concentrations showed a dose-response increase in ROS in the brain, which was accompanied by a massive decrease in antioxidant genes (sod2, cat, gsr, and nrf2). In addition, a higher number of apoptotic cells was observed in embryos treated with magnetite. Next, interestingly, embryos exposed to magnetite displayed a decrease in neural staminal progenitors (nestin, sox2, and pcna markers) and a neuronal marker (elavl3). Finally, we observed significative increases in apoeb (specific microglia marker) and interleukin-1b (il1b), confirming a status of inflammation in the brain embryos treated with magnetite. Our study represents the very first in vivo evidence concerning the effects of magnetite on brain development.
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Affiliation(s)
- Pietro Cacialli
- Department of Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, 40126 Bologna, Italy
| | - Serena Ricci
- Department of Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, 40126 Bologna, Italy
| | | | - Valeria Franceschini
- Department of Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, 40126 Bologna, Italy
| | - Francisco Ruiz-Zepeda
- Department of Physics and Chemistry of Materials, Institute of Metals and Technology, Lepi pot 11, 1000 Ljubljana, Slovenia
- Department of Materials Chemistry, National Institute of Chemistry, Hajdrihova 19, 1000 Ljubljana, Slovenia
| | - Ruggero Vigliaturo
- Department of Earth Sciences, University of Turin, 10124 Turin, Italy
- Interdepartmental Centre for Studies on Asbestos and Other Toxic Particulates “G. Scansetti”, University of Turin, 10124 Turin, Italy
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9
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Deliz JR, Tanner CM, Gonzalez-Latapi P. Epidemiology of Parkinson's Disease: An Update. Curr Neurol Neurosci Rep 2024; 24:163-179. [PMID: 38642225 DOI: 10.1007/s11910-024-01339-w] [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] [Accepted: 04/12/2024] [Indexed: 04/22/2024]
Abstract
PURPOSE OF REVIEW In recent decades, epidemiological understanding of Parkinson disease (PD) has evolved significantly. Major discoveries in genetics and large epidemiological investigations have provided a better understanding of the genetic, behavioral, and environmental factors that play a role in the pathogenesis and progression of PD. In this review, we provide an epidemiological update of PD with a particular focus on advances in the last five years of published literature. RECENT FINDINGS We include an overview of PD pathophysiology, followed by a detailed discussion of the known distribution of disease and varied determinants of disease. We describe investigations of risk factors for PD, and provide a critical summary of current knowledge, knowledge gaps, and both clinical and research implications. We emphasize the need to characterize the epidemiology of the disease in diverse populations. Despite increasing understanding of PD epidemiology, recent paradigm shifts in the conceptualization of PD as a biological entity will also impact epidemiological research moving forward and guide further work in this field.
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Affiliation(s)
- Juan R Deliz
- Ken and Ruth Davee Department of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Caroline M Tanner
- Weill Institute for Neurosciences, Department of Neurology, University of California -San Francisco, San Francisco, CA, USA
| | - Paulina Gonzalez-Latapi
- Ken and Ruth Davee Department of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
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10
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Ai B, Zhang J, Zhang S, Chen G, Tian F, Chen L, Li H, Guo Y, Jerath A, Lin H, Zhang Z. Causal association between long-term exposure to air pollution and incident Parkinson's disease. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133944. [PMID: 38457975 DOI: 10.1016/j.jhazmat.2024.133944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/23/2024] [Accepted: 02/29/2024] [Indexed: 03/10/2024]
Abstract
Epidemiological evidence for long-term air pollution exposure and Parkinson's disease (PD) is controversial, and analysis of causality is limited. We identified 293,888 participants who were free of PD at baseline in the UK Biobank (2006-2010). Time-varying air pollution [fine particulate (PM2.5) and ozone (O3)] exposures were estimated using spatio-temporal models. Incident cases of PD were identified using validated algorithms. Four methods were used to investigate the associations between air pollution and PD, including (1) standard time-varying Cox proportional-hazard model; (2) Cox models weighted by generalized propensity score (GPS) and inverse-probability weights (IPW); (3) instrumental variable (IV) analysis; and (4) negative control outcome analysis. During a median of 11.6 years of follow-up, 1822 incident PD cases were identified. Based on standard Cox regression, the hazard ratios (95% confidence interval) for a 1 µg/m3 or ppb increase in PM2.5 and O3 were 1.23 (1.17, 1.30) and 1.02 (0.98, 1.05), respectively. Consistent results were found in models weighted by GPS and IPW, and in IV analysis. There were no significant associations between air pollution and negative control outcomes. This study provides evidence to support a causal association between PM2.5 exposure and PD. Mitigation of air pollution could be a protective measure against PD.
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Affiliation(s)
- Baozhuo Ai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiayue Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ge Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Haitao Li
- Shenzhen University General Hospital, Shenzhen, China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Angela Jerath
- Schulich Heart Program, Sunnybrook Research Institute, Toronto, ON, Canada; ICES, Toronto, ON, Canada; Department of Anesthesiology and Pain Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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11
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Qi J, Zhao N, Liu M, Guo Y, Fu J, Zhang Y, Wang W, Su Z, Zeng Y, Yao Y, Hu K. Long-term exposure to fine particulate matter constituents and cognitive impairment among older adults: An 18-year Chinese nationwide cohort study. JOURNAL OF HAZARDOUS MATERIALS 2024; 468:133785. [PMID: 38367441 DOI: 10.1016/j.jhazmat.2024.133785] [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: 12/06/2023] [Revised: 01/27/2024] [Accepted: 02/12/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND Although growing evidence has shown independent links of long-term exposure to fine particulate matter (PM2.5) with cognitive impairment, the effects of its constituents remain unclear. This study aims to explore the associations of long-term exposure to ambient PM2.5 constituents' mixture with cognitive impairment in Chinese older adults, and to further identify the main contributor. METHODS 15,274 adults ≥ 65 years old were recruited by the Chinese Longitudinal Healthy Longevity Study (CLHLS) and followed up through 7 waves during 2000-2018. Concentrations of ambient PM2.5 and its constituents (i.e., black carbon [BC], organic matter [OM], ammonium [NH4+], sulfate [SO42-], and nitrate [NO3-]) were estimated by satellite retrievals and machine learning models. Quantile-based g-computation model was employed to assess the joint effects of a mixture of 5 PM2.5 constituents and their relative contributions to cognitive impairment. Analyses stratified by age group, sex, residence (urban vs. rural), and region (north vs. south) were performed to identify vulnerable populations. RESULTS During the average 3.03 follow-up visits (89,296.9 person-years), 4294 (28.1%) participants had developed cognitive impairment. The adjusted hazard ratio [HR] (95% confidence interval [CI]) for cognitive impairment for every quartile increase in mixture exposure to 5 PM2.5 constituents was 1.08 (1.05-1.11). BC held the largest index weight (0.69) in the positive direction in the qg-computation model, followed by OM (0.31). Subgroup analyses suggested stronger associations in younger old adults and rural residents. CONCLUSION Long-term exposure to ambient PM2.5, particularly its constituents BC and OM, is associated with an elevated risk of cognitive impairment onset among Chinese older adults.
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Affiliation(s)
- Jin Qi
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Naizhuo Zhao
- Department of Land Resource Management, School of Humanities and Law, Northeastern University, Shenyang 110004, China
| | - Minhui Liu
- School of Management, University of Science and Technology of China, Hefei 230026, China
| | - Yiwen Guo
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Jingqiao Fu
- Ocean College, Zhejiang University, Zhoushan 316021, China
| | - Yunquan Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Wanjie Wang
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Zhiyang Su
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing 100871, China.
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing 100191, China.
| | - Kejia Hu
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China; Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, China.
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12
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Huang M, Zhang Y, Liu X. The mechanism of cuproptosis in Parkinson's disease. Ageing Res Rev 2024; 95:102214. [PMID: 38311254 DOI: 10.1016/j.arr.2024.102214] [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: 10/31/2023] [Accepted: 01/30/2024] [Indexed: 02/09/2024]
Abstract
Parkinson's disease (PD) is a neurodegenerative disease with an increased morbidity. The pathogenesis PD has not been fully elucidated, and whatever mechanism is involved, it ultimately leads to dopamine (DA) neuronal apoptosis. Cuproptosis is a novel form of cell death. Its morphology, biochemical properties, and mechanism of action differ from known forms of cell death, such as apoptosis, autophagy, necrosis and pyroptosis. Copper binds to the lipoylated components of the tricarboxylic acid cycle, causing proteotoxic stress that ultimately leads to cellular cuproptosis. PD has biochemical features such as mitochondrial dysfunction and decreased levels of copper and glutathione in brain regions. This is closely related to the cuproptosis mechanism. However, the specific link between the pathogenesis of PD and cuproptosis is unclear. Herein, we summarizes cuproptosis as the cause of DA neuronal death in PD, and the relationship between cuproptosis and the PD pathogenesis. This article provides a research basis for targeted cuproptosis for PD.
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Affiliation(s)
- Min Huang
- Department of Histology and Embryology, School of Medicine, Shaoxing University, Zhejiang, China
| | - Yong Zhang
- Department of Histology and Embryology, School of Medicine, Shaoxing University, Zhejiang, China
| | - Xuehong Liu
- Department of Histology and Embryology, School of Medicine, Shaoxing University, Zhejiang, China.
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13
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Cao Z, Yuan Y, White AJ, Li C, Luo Z, D’Aloisio AA, Huang X, Kaufman JD, Sandler DP, Chen H. Air Pollutants and Risk of Parkinson's Disease among Women in the Sister Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:17001. [PMID: 38175185 PMCID: PMC10766011 DOI: 10.1289/ehp13009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Air pollutants may contribute to the development of Parkinson's disease (PD), but empirical evidence is limited and inconsistent. OBJECTIVES This study aimed to prospectively investigate the associations of PD with ambient exposures to fine particulate matter with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ) and nitrogen dioxide (NO 2 ). METHODS We analyzed data from 47,108 US women from the Sister Study, enrolled from 2003-2009 (35-80 years of age) and followed through 2018. Exposures of interest included address-level ambient PM 2.5 and NO 2 in 2009 and their cumulative averages from 2009 to PD diagnosis with varying lag-years. The primary outcome was PD diagnosis between 2009 and 2018 (n = 163 ). We used multivariable Cox proportional hazards and time-varying Cox models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS NO 2 exposure in 2009 was associated with PD risk in a dose-response manner. The HR and 95% CI were 1.22 (95% CI: 1.03, 1.46) for one interquartile [4.8 parts per billion (ppb)] increment in NO 2 , adjusting for age, race and ethnicity, education, smoking status, alcohol drinking, caffeine intake, body mass index, physical activity, census region, residential area type, area deprivation index (ADI), and self-reported health status. The association was confirmed in secondary analyses with time-varying averaged cumulative exposures. For example, the multivariable adjusted HR for PD per 4.8 ppb increment in NO 2 was 1.25 (95% CI: 1.05, 1.50) in the 2-year lag analysis using cumulative average exposure. Post hoc subgroup analyses overall confirmed the association. However, statistical interaction analyses found that the positive association of NO 2 with PD risk was limited to women in urban, rural, and small town areas and women with ≥ 50 th percentile ADI but not among women from suburban areas or areas with < 50 th percentile ADI. In contrast, PM 2.5 exposure was not associated with PD risk with the possible exception for women from the Midwest region of the US (HR interquartile -range = 2.49 , 95% CI: 1.20, 5.14) but not in other census regions. DISCUSSION In this nationwide cohort of US women, higher level exposure to ambient NO 2 is associated with a greater risk of PD. This finding needs to be independently confirmed and the underlying mechanisms warrant further investigation. https://doi.org/10.1289/EHP13009.
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Affiliation(s)
- Zichun Cao
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Yaqun Yuan
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Alexandra J. White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Chenxi Li
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Aimee A. D’Aloisio
- Social & Scientific Systems, DLH Holdings Corporation, Durham, North Carolina, USA
| | - Xuemei Huang
- Department of Neurology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Joel D. Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Honglei Chen
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
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14
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Paola Caminiti S, Gallo S, Menegon F, Naldi A, Comi C, Tondo G. Lifestyle Modulators of Neuroplasticity in Parkinson's Disease: Evidence in Human Neuroimaging Studies. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2024; 23:602-613. [PMID: 37326116 DOI: 10.2174/1871527322666230616121213] [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: 12/28/2022] [Revised: 04/25/2023] [Accepted: 05/17/2023] [Indexed: 06/17/2023]
Abstract
Parkinson's disease (PD) is a neurodegenerative disease characterized by both motor and non-motor symptoms. A progressive neuronal loss and the consequent clinical impairment lead to deleterious effects on daily living and quality of life. Despite effective symptomatic therapeutic approaches, no disease-modifying therapies are currently available. Emerging evidence suggests that adopting a healthy lifestyle can improve the quality of life of PD patients. In addition, modulating lifestyle factors can positively affect the microstructural and macrostructural brain levels, corresponding to clinical improvement. Neuroimaging studies may help to identify the mechanisms through which physical exercise, dietary changes, cognitive enrichment, and exposure to substances modulate neuroprotection. All these factors have been associated with a modified risk of developing PD, with attenuation or exacerbation of motor and non-motor symptomatology, and possibly with structural and molecular changes. In the present work, we review the current knowledge on how lifestyle factors influence PD development and progression and the neuroimaging evidence for the brain structural, functional, and molecular changes induced by the adoption of positive or negative lifestyle behaviours.
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Affiliation(s)
| | - Silvia Gallo
- Neurology Unit, Department of Translational Medicine, Movement Disorders Centre, University of Piemonte Orientale, 28100 Novara, Italy
| | - Federico Menegon
- Neurology Unit, Department of Translational Medicine, Movement Disorders Centre, University of Piemonte Orientale, 28100 Novara, Italy
| | - Andrea Naldi
- Neurology Unit, San Giovanni Bosco Hospital, 10154 Turin, Italy
| | - Cristoforo Comi
- Neurology Unit, Department of Translational Medicine, S. Andrea Hospital, University of Piemonte Orientale, 13100 Vercelli, Italy
| | - Giacomo Tondo
- Neurology Unit, Department of Translational Medicine, S. Andrea Hospital, University of Piemonte Orientale, 13100 Vercelli, Italy
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15
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Lomme J, Reedijk M, Peters S, Downward GS, Stefanopoulou M, Vermeulen R, Huss A. Traffic-related air pollution, road traffic noise, and Parkinson's disease: Evaluations in two Dutch cohort studies. Environ Epidemiol 2023; 7:e272. [PMID: 38912395 PMCID: PMC11189687 DOI: 10.1097/ee9.0000000000000272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/06/2023] [Indexed: 06/25/2024] Open
Abstract
Background Environmental factors such as air pollution have been associated with Parkinson's disease (PD), but findings have been inconsistent. We investigated the association between exposure to several air pollutants, road traffic noise, and PD risk in two Dutch cohorts. Methods Data from 50,087 participants from two Dutch population-based cohort studies, European Prospective Investigation into Cancer and Nutrition in the Netherlands and Arbeid, Milieu en Gezondheid Onderzoek were analyzed. In these cohorts, 235 PD cases were ascertained based on a previously validated algorithm combining self-reported information (diagnosis, medication, and symptoms) and registry data. We assigned the following traffic-related exposures to residential addresses at baseline: NO2, NOx, particulate matter (PM)2.5absorbance (as a marker for black carbon exposure), PM with aerodynamic diameter ≤2.5 µm (PM2.5), ≤10 µm (PM10), PMcoarse (size fraction 2.5-10 µm), ultrafine particles <0.1 µm (UFP), and road traffic noise (Lden). Logistic regression models were applied to investigate the associations with PD, adjusted for possible confounders. Results Both single- and two-pollutant models indicated associations between exposure to NOx, road traffic noise, and increasing odds of developing PD. Odds ratios of fully adjusted two-pollutant models in the highest compared with the lowest exposure quartile were 1.62 (95% CI = 1.02, 2.62) for NOx and 1.47 (95% CI = 0.97, 2.25) for road traffic noise, with clear trends across exposure categories. Conclusions Our findings suggest that NOx and road traffic noise are associated with an increased risk of PD. While the association with NOx has been shown before, further investigation into the possible role of environmental noise on PD is warranted.
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Affiliation(s)
- Jara Lomme
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Marije Reedijk
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Susan Peters
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - George S. Downward
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | | | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
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16
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Baranyi G, Williamson L, Feng Z, Tomlinson S, Vieno M, Dibben C. Early life PM 2.5 exposure, childhood cognitive ability and mortality between age 11 and 86: A record-linkage life-course study from Scotland. ENVIRONMENTAL RESEARCH 2023; 238:117021. [PMID: 37659643 DOI: 10.1016/j.envres.2023.117021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 08/18/2023] [Accepted: 08/29/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Living in areas with high air pollution concentrations is associated with all-cause and cause-specific mortality. Exposure in sensitive developmental periods might be long-lasting but studies with very long follow-up are rare, and mediating pathways between early life exposure and life-course mortality are not fully understood. METHODS Data were drawn from the Scottish Longitudinal Study Birth Cohort of 1936, a representative record-linkage study comprising 5% of the Scottish population born in 1936. Participants had valid age 11 cognitive ability test scores along with linked mortality data until age 86. Fine particle (PM2.5) concentrations estimated with the EMEP4UK atmospheric chemistry transport model were linked to participants' residential address derived from the National Identity Register in 1939 (age 3). Confounder-adjusted Cox regression estimated associations between PM2.5 and mortality; regression-based causal mediation analysis explored mediation through childhood cognitive ability. RESULTS The final sample consisted of 2734 individuals with 1608 deaths registered during the 1,833,517 person-months at risk follow-up time. Higher early life PM2.5 exposure increased the risk of all-cause mortality (HR = 1.03, 95% CI: 1.01-1.04 per 10 μg m-3 increment), associations were stronger for mortality between age 65 and 86. PM2.5 increased the risk of cancer-related mortality (HR = 1.05, 95% CI: 1.02-1.08), especially for lung cancer among females (HR = 1.11, 95% CI: 1.02-1.21), but not for cardiovascular and respiratory diseases. Higher PM2.5 in early life (≥50 μg m-3) was associated with lower childhood cognitive ability, which, in turn, increased the risk of all-cause mortality and mediated 25% of the total associations. CONCLUSIONS In our life-course study with 75-year of continuous mortality records, we found that exposure to air pollution in early life was associated with higher mortality in late adulthood, and that childhood cognitive ability partly mediated this relationship. Findings suggest that past air pollution concentrations will likely impact health and longevity for decades to come.
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Affiliation(s)
- Gergő Baranyi
- Centre for Research on Environment, Society and Health, School of Geosciences, The University of Edinburgh, Edinburgh, UK.
| | - Lee Williamson
- Centre for Research on Environment, Society and Health, School of Geosciences, The University of Edinburgh, Edinburgh, UK; Longitudinal Studies Centre - Scotland, School of GeoSciences, The University of Edinburgh, Edinburgh, UK
| | - Zhiqiang Feng
- Centre for Research on Environment, Society and Health, School of Geosciences, The University of Edinburgh, Edinburgh, UK
| | - Sam Tomlinson
- UK Centre for Ecology & Hydrology, Library Ave, Bailrigg, Lancaster, UK
| | - Massimo Vieno
- UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, UK
| | - Chris Dibben
- Centre for Research on Environment, Society and Health, School of Geosciences, The University of Edinburgh, Edinburgh, UK
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17
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Krzyzanowski B, Searles Nielsen S, Turner JR, Racette BA. Fine Particulate Matter and Parkinson Disease Risk Among Medicare Beneficiaries. Neurology 2023; 101:e2058-e2067. [PMID: 37903644 PMCID: PMC10663024 DOI: 10.1212/wnl.0000000000207871] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 08/03/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Numerous studies suggest that environmental exposures play a critical role in Parkinson disease (PD) pathogenesis, and large, population-based studies have the potential to advance substantially the identification of novel PD risk factors. We sought to study the nationwide geographic relationship between PD and air pollution, specifically PM2.5 (particulate matter with a diameter <2.5 micrometers), using population-based US Medicare data. METHODS We conducted a population-based geographic study of Medicare beneficiaries aged 66-90 years geocoded to US counties and zip+4. We used integrated nested Laplace approximation to create age, sex, race, smoking, and health care utilization-adjusted relative risk (RR) at the county level for geographic analyses with PM2.5 as the primary exposure of interest. We also performed an individual-level analysis using logistic regression with cases and controls with zip+4 centroid PM2.5. We adjusted a priori for the same covariates and verified no confounding by indicators of socioeconomic status or neurologist density. RESULTS Among 21,639,190 Medicare beneficiaries, 89,390 had incident PD in 2009. There was a nationwide association between average annual PM2.5 and PD risk whereby the RR of PD was 56% (95% CI 47%-66%) greater for those exposed to the median level of PM2.5 compared with those with the lowest level of PM2.5. This association was linear up to 13 μg/m3 corresponding to a 4.2% (95% CI 3.7%-4.8%) greater risk of PD for each additional μg/m3 of PM2.5 (p trend < 0.0001). We identified a region with high PD risk in the Mississippi-Ohio River Valley, where the risk of PD was 19% greater compared with the rest of the nation. The strongest association between PM2.5 and PD was found in a region with low PD risk in the Rocky Mountains. PM2.5 was also associated with PD in the Mississippi-Ohio River Valley where the association was relatively weaker, due to a possible ceiling effect at average annual PM2.5 levels of ∼13 μg/m3. DISCUSSION State-of-the-art geographic analytic techniques revealed an association between PM2.5 and PD that varied in strength by region. A deeper investigation into the specific subfractions of PM2.5 may provide additional insight into regional variability in the PM2.5-PD association.
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Affiliation(s)
- Brittany Krzyzanowski
- From the Barrow Neurological Institute (B.K., B.A.R.), Phoenix, AZ; Washington University in St. Louis (S.S.N., J.R.T.) MO.
| | - Susan Searles Nielsen
- From the Barrow Neurological Institute (B.K., B.A.R.), Phoenix, AZ; Washington University in St. Louis (S.S.N., J.R.T.) MO
| | - Jay R Turner
- From the Barrow Neurological Institute (B.K., B.A.R.), Phoenix, AZ; Washington University in St. Louis (S.S.N., J.R.T.) MO
| | - Brad A Racette
- From the Barrow Neurological Institute (B.K., B.A.R.), Phoenix, AZ; Washington University in St. Louis (S.S.N., J.R.T.) MO
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18
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Darweesh SKL, Burke JF, Peters S. Air Pollution and Parkinson Disease: Increasing Our Risk Each Breath We Take? Neurology 2023; 101:921-922. [PMID: 37903643 DOI: 10.1212/wnl.0000000000207972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 09/09/2023] [Indexed: 11/01/2023] Open
Affiliation(s)
- Sirwan K L Darweesh
- From the Radboud University Medical Center (S.K.L.D.), Nijmegen, the Netherlands; Ohio State University Medical Center (J.F.B.), Columbus; and Institute for Risk Assessment Sciences (S.P.), Utrecht University, the Netherlands.
| | - James F Burke
- From the Radboud University Medical Center (S.K.L.D.), Nijmegen, the Netherlands; Ohio State University Medical Center (J.F.B.), Columbus; and Institute for Risk Assessment Sciences (S.P.), Utrecht University, the Netherlands
| | - Susan Peters
- From the Radboud University Medical Center (S.K.L.D.), Nijmegen, the Netherlands; Ohio State University Medical Center (J.F.B.), Columbus; and Institute for Risk Assessment Sciences (S.P.), Utrecht University, the Netherlands
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19
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von Mikecz A. Elegant Nematodes Improve Our Understanding of Human Neuronal Diseases, the Role of Pollutants and Strategies of Resilience. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:16755-16763. [PMID: 37874738 PMCID: PMC10634345 DOI: 10.1021/acs.est.3c04580] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/26/2023]
Abstract
The prevalence of neurodegenerative disorders such as Alzheimer's and Parkinson's disease are rising globally. The role of environmental pollution in neurodegeneration is largely unknown. Thus, this perspective advocates exposome research in C. elegans models of human diseases. The models express amyloid proteins such as Aβ, recapitulate the degeneration of specifically vulnerable neurons and allow for correlated neurobehavioral phenotyping throughout the entire life span of the nematode. Neurobehavioral traits like locomotion gaits, rigidity, or cognitive decline are quantifiable and carefully mimic key aspects of the human diseases. Underlying molecular pathways of neurodegeneration are elucidated in pollutant-exposed C. elegans Alzheimer's or Parkinson's models by transcriptomics (RNA-seq), mass spectrometry-based proteomics and omics addressing other biochemical traits. Validation of the identified disease pathways can be achieved by genome-wide association studies in matching human cohorts. A consistent One Health approach includes isolation of nematodes from contaminated sites and their comparative investigation by imaging, neurobehavioral profiling and single worm proteomics. C. elegans models of neurodegenerative diseases are likewise well-suited for high throughput methods that provide a promising strategy to identify resilience pathways of neurosafety and keep up with the number of pollutants, nonchemical exposome factors, and their interactions.
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Affiliation(s)
- Anna von Mikecz
- IUF − Leibniz Research Institute
of Environmental Medicine GmbH, Auf’m Hennekamp 50, 40225 Duesseldorf, Germany
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20
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Lee J, Weerasinghe-Mudiyanselage PDE, Kim B, Kang S, Kim JS, Moon C. Particulate matter exposure and neurodegenerative diseases: A comprehensive update on toxicity and mechanisms. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 266:115565. [PMID: 37832485 DOI: 10.1016/j.ecoenv.2023.115565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/30/2023] [Accepted: 10/08/2023] [Indexed: 10/15/2023]
Abstract
Exposure to particulate matter (PM) has been associated with a range of health impacts, including neurological abnormalities that affect neurodevelopment, neuroplasticity, and behavior. Recently, there has been growing interest in investigating the possible relationship between PM exposure and the onset and progression of neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, and multiple sclerosis. However, the precise mechanism by which PM affects neurodegeneration is still unclear, even though several epidemiological and animal model studies have provided mechanistic insights. This article presents a review of the current research on the neurotoxicity of PM and its impact on neurodegenerative diseases. This review summarizes findings from epidemiological and animal model studies collected through searches in Google Scholar, PubMed, Web of Science, and Scopus. This review paper also discusses the reported effects of PM exposure on the central nervous system and highlights research gaps and future directions. The information presented in this review may inform public health policies aimed at reducing PM exposure and may contribute to the development of new treatments for neurodegenerative diseases. Further mechanistic and therapeutic research will be needed to fully understand the relationship between PM exposure and neurodegenerative diseases.
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Affiliation(s)
- Jeongmin Lee
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Poornima D E Weerasinghe-Mudiyanselage
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Bohye Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Sohi Kang
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Joong-Sun Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Changjong Moon
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea.
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21
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Rumrich IK, Lin J, Korhonen A, Frohn LM, Geels C, Brandt J, Hartikainen S, Hänninen O, Tolppanen AM. Long-term exposure to low-level particulate air pollution and Parkinson's disease diagnosis - A Finnish register-based study. ENVIRONMENTAL RESEARCH 2023; 229:115944. [PMID: 37086879 DOI: 10.1016/j.envres.2023.115944] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/19/2023] [Accepted: 04/17/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND There is mixed evidence for an association between particulate matter air pollution and Parkinson's disease despite biological plausibility. OBJECTIVES We studied the association between particulate air pollution, its components and Parkinson's disease (PD) risk. METHODS We conducted a nested case-control study within the population of Finland using national registers. A total of 22,189 incident PD cases diagnosed between 1996 and 2015 were matched by age, sex and region with up to seven controls (n = 148,009) per case. Time weighted average air pollution exposure to particulate matter and its components was modelled at the residential addresses, accounting for move history, for the 16 years preceding diagnosis. Conditional logistic regression analysis was used to evaluate the association between air pollution and PD. Different exposure periods (6-16 years, 11-16 years, 5-10 years, 0-5 years) before the index date (date of PD diagnosis) were applied. RESULTS Time-weighted average exposures were relatively low at 12.1 ± 6.5 μg/m3 (mean ± SD) for PM10 and 7.7 ± 3.2 μg/m3 for PM2.5. No associations were found between PM2.5 or PM10 exposure 6-16 years before index date and PD (OR: 0.99; 95% CI: 0.96, 1.02; per IQR of 3.9 μg/m3 and OR: 0.99; 95% CI: 0.96, 1.01; per IQR of 7.8 μg/m3, respectively). However, inverse associations were observed for the same exposure period with black carbon (OR: 0.96; 95% CI: 0.93, 0.99; per IQR of 0.6 μg/m3), sulphate (OR: 0.79; 95% CI: 0.68, 0.92; per IQR of 1.2 μg/m3), secondary organic aerosols (OR: 0.86; 95% CI: 0.80, 0.93; per IQR of 0.1 μg/m3) and sea salt (OR: 0.92; 95% CI: 0.87, 0.98; per IQR of 0.1 μg/m3). DISCUSSION Low-level particulate matter air pollution was not associated with increased risk of incident PD in this Finnish nationwide population. The observed weak inverse associations with specific particle components should be investigated further.
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Affiliation(s)
- Isabell Katharina Rumrich
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland; Department of Health Security, Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland.
| | - Julian Lin
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
| | - Antti Korhonen
- Department of Health Security, Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland.
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Sirpa Hartikainen
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
| | - Otto Hänninen
- Department of Health Security, Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland.
| | - Anna-Maija Tolppanen
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
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22
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Ścibior A, Llopis J, Dobrakowski PP, Męcik-Kronenberg T. CNS-Related Effects Caused by Vanadium at Realistic Exposure Levels in Humans: A Comprehensive Overview Supplemented with Selected Animal Studies. Int J Mol Sci 2023; 24:ijms24109004. [PMID: 37240351 DOI: 10.3390/ijms24109004] [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: 04/27/2023] [Revised: 05/16/2023] [Accepted: 05/17/2023] [Indexed: 05/28/2023] Open
Abstract
Neurodegenerative disorders, which are currently incurable diseases of the nervous system, are a constantly growing social concern. They are progressive and lead to gradual degeneration and/or death of nerve cells, resulting in cognitive deterioration or impaired motor functions. New therapies that would ensure better treatment results and contribute to a significant slowdown in the progression of neurodegenerative syndromes are constantly being sought. Vanadium (V), which is an element with a wide range of impacts on the mammalian organism, is at the forefront among the different metals studied for their potential therapeutic use. On the other hand, it is a well-known environmental and occupational pollutant and can exert adverse effects on human health. As a strong pro-oxidant, it can generate oxidative stress involved in neurodegeneration. Although the detrimental effects of vanadium on the CNS are relatively well recognized, the role of this metal in the pathophysiology of various neurological disorders, at realistic exposure levels in humans, is not yet well characterized. Hence, the main goal of this review is to summarize data on the neurological side effects/neurobehavioral alterations in humans, in relation to vanadium exposure, with the focus on the levels of this metal in biological fluids/brain tissues of subjects with some neurodegenerative syndromes. Data collected in the present review indicate that vanadium cannot be excluded as a factor playing a pivotal role in the etiopathogenesis of neurodegenerative illnesses, and point to the need for additional extensive epidemiological studies that will provide more evidence supporting the relationship between vanadium exposure and neurodegeneration in humans. Simultaneously, the reviewed data, clearly showing the environmental impact of vanadium on health, suggest that more attention should be paid to chronic diseases related to vanadium and to the assessment of the dose-response relationship.
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Affiliation(s)
- Agnieszka Ścibior
- Laboratory of Oxidative Stress, Department of Biomedicine and Environmental Research, Institute of Biological Sciences, Faculty of Medicine, The John Paul II Catholic University of Lublin, Konstantynów St. 1J, 20-708 Lublin, Poland
| | - Juan Llopis
- Department of Physiology, Institute of Nutrition and Food Technology ''José Mataix", Biomedical Research Centre, University of Granada, 18100 Armilla, Spain
- Sport and Health Research Centre, University of Granada, 18016 Granada, Spain
| | - Paweł Piotr Dobrakowski
- Psychology Institute, Humanitas University in Sosnowiec, Jana Kilińskiego St. 43, 41-200 Sosnowiec, Poland
| | - Tomasz Męcik-Kronenberg
- Department of Pathomorphology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 3 Maja St. 13, 41-800 Zabrze, Poland
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23
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Rumrich IK, Kaasinen V, Hänninen O, Hartikainen S, Tolppanen AM. Letter in response to Cole-Hunter et al., 2023: What does "Parkinson's disease mortality" mean? ENVIRONMENT INTERNATIONAL 2023; 173:107852. [PMID: 36931780 DOI: 10.1016/j.envint.2023.107852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 02/22/2023] [Indexed: 06/18/2023]
Affiliation(s)
- Isabell Katharina Rumrich
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland; Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.
| | - Valtteri Kaasinen
- Clinical Neurosciences, University of Turku, Turku, Finland; Neurocenter, Turku University Hospital, Turku, Finland
| | - Otto Hänninen
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
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24
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Cole-Hunter T, Zhang J, Lim YH, Samoli E, Chen J, Strak M, Wolf K, Weinmayr G, Zitt E, Hoffmann B, Jöckel KH, Mortensen LH, Ketzel M, Méndez DY, Ljungman P, Nagel G, Pershagen G, Rizzuto D, Schramm S, Brunekreef B, Hoek G, Andersen ZJ. Reply to Rumrich and colleagues (What does "Parkinson's disease mortality" mean?). ENVIRONMENT INTERNATIONAL 2023; 173:107853. [PMID: 36931779 DOI: 10.1016/j.envint.2023.107853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 02/22/2023] [Indexed: 06/18/2023]
Affiliation(s)
- Thomas Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Jiawei Zhang
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Youn-Hee Lim
- 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
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Ketzel
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom
| | | | - Petter Ljungman
- Institute of Environmental Medicine, 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
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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