Parkinson's disease and long-term exposure to outdoor air pollution: A matched case-control study in the Netherlands

Toro, R.; Downward, George S.; Mark, Marianne van der; Brouwer, Maartje; Huss, Anke; Peters, Susan; Hoek, Gerard; Nijssen, Peter C.G.; Mulleners, Wim M.; Sas, Antonetta M. G.; Laar, Thijs van de; Kromhout, Hans; Vermeulen, Roel

doi:10.1016/j.envint.2019.04.069

Cited by 47 publications

(32 citation statements)

References 25 publications

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“…A cohort study in China reported 9% higher risk for AD for 1 μg/m 3 increase in PM 2.5 [76], whereas our findings for AD were largely null. However, a recent study in Netherlands reported that there was no positive relationship between ambient air pollution and Parkinson's disease [80]. Results indicating that including only noise in models did not modify any of the associations between air pollution and adult neurologic diseases were also consistent with previous studies.…”

Section: Discussionsupporting

confidence: 87%

Road proximity, air pollution, noise, green space and neurologic disease incidence: a population-based cohort study

et al. 2020

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Background: Emerging evidence links road proximity and air pollution with cognitive impairment. Joint effects of noise and greenness have not been evaluated. We investigated associations between road proximity and exposures to air pollution, and joint effects of noise and greenness, on non-Alzheimer's dementia, Parkinson's and Alzheimer's disease and multiple sclerosis within a population-based cohort. Methods:We assembled administrative health database cohorts of 45-84 year old residents (N~678,000) of Metro Vancouver, Canada. Cox proportional hazards models were built to assess associations between exposures and non-Alzheimer's dementia and Parkinson's disease. Given reduced case numbers, associations with Alzheimer's disease and multiple sclerosis were evaluated in nested case-control analyses by conditional logistic regression. Results: Road proximity was associated with all outcomes (e.g. non-Alzheimer's dementia hazard ratio: 1.14, [95% confidence interval: 1.07-1.20], for living < 50 m from a major road or < 150 m from a highway). Air pollutants were associated with incidence of Parkinson's disease and non-Alzheimer's dementia (e.g. Parkinson's disease hazard ratios of 1.09 [1.02-1.16], 1.03 [0.97-1.08], 1.12 [1.05-1.20] per interquartile increase in fine particulate matter, Black

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Section: Discussionsupporting

confidence: 87%

Road proximity, air pollution, noise, green space and neurologic disease incidence: a population-based cohort study

et al. 2020

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“…In this regard, the link between PD and long-term exposure to outdoor air pollution was carefully investigated by the University of Utrecht, to assess whether the fine particles that pollute the air may have a role on PD severity and development. In this study, PD patients were recruited and compared to healthy patients: The results showed no significant difference in the risk of developing PD after long-term exposure to environmental fine dust [14]. Until a few years ago, the role of environmental factors in the development of PD was considered predominant; nowadays, new evidence suggests that the genetic component could play an important role.…”

Section: Factors Impacting Pd Onset and Severitymentioning

confidence: 93%

Human Periapical Cyst-Derived Stem Cells Can Be A Smart “Lab-on-A-Cell” to Investigate Neurodegenerative Diseases and the Related Alteration of the Exosomes’ Content

Tatullo

Codispoti²,

Spagnuolo

et al. 2019

Brain Sciences

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Promising researches have demonstrated that the alteration of biological rhythms may be consistently linked to neurodegenerative pathologies. Parkinson’s disease (PD) has a multifactorial pathogenesis, involving both genetic and environmental and/or molecular co-factors. Generally, heterogeneous alterations in circadian rhythm (CR) are a typical finding in degenerative processes, such as cell aging and death. Although numerous genetic phenotypes have been discovered in the most common forms of PD, it seems that severe deficiencies in synaptic transmission and high vesicular recycling are frequently found in PD patients. Neuron-to-neuron interactions are often ensured by exosomes, a specific type of extracellular vesicle (EV). Neuron-derived exosomes may carry several active compounds, including miRNAs: Several studies have found that circulating miRNAs are closely associated with an atypical oscillation of circadian rhythm genes, and they are also involved in the regulation of clock genes, in animal models. In this context, a careful analysis of neural-differentiated Mesenchymal Stem Cells (MSCs) and the molecular and genetic characterization of their exosome content, both in healthy cells and in PD-induced cells, could be a strategic field of investigation for early diagnosis and better treatment of PD and similar neurodegenerative pathologies. A novel MSC population, called human periapical cyst–mesenchymal stem cells (hPCy–MSCs), has demonstrated that it naively expresswa the main neuronal markers, and may differentiate towards functional neurons. Therefore, hPCy–MSCs can be considered of particular interest for testing of in vitro strategies to treat neurological diseases. On the other hand, the limitations of using stem cells is an issue that leads researchers to perform experimental studies on the exosomes released by MCSs. Human periapical cyst-derived mesenkymal stem cells can be a smart “lab-on-a-cell” to investigate neurodegenerative diseases and the related exosomes’ content alteration.

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“…A positive association was demonstrated between PD incidence and ambient exposure to organophosphate pesticides [26] as well as to ozone pollution [7]. Toro et al found no clear association between ambient air pollution and PD [28] whereas Yuchi et al found that road proximity and air pollutants (NO2, PM 2.5 ) were associated with a slight Abbreviations.…”

Section: Discussionmentioning

confidence: 99%

“…Most of these studies used aggregated data to evaluate disease prevalence according to arbitrary political or administrative spatial units [21][22][23]27], further highlighting the originality of our individual approach. To the best of our knowledge, only four studies used an individual-level data spatial analysis to study the association between PD and risk factors [7,26,28,29]. A positive association was demonstrated between PD incidence and ambient exposure to organophosphate pesticides [26] as well as to ozone pollution [7].…”

Section: Discussionmentioning

confidence: 99%

Geospatial analysis of individual-based Parkinson's disease data supports a link with air pollution: A case-control study

Fleury

Himsl

Joost

et al. 2021

Parkinsonism & Related Disorders

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Background: The etiology of Parkinson's disease (PD) remains unknown. To approach the issue of PD's risk factors from a new perspective, we hypothesized that coupling the geographic distribution of PD with spatial statistics may provide new insights into environmental epidemiology research. The aim of this case-control study was to examine the spatial dependence of PD prevalence in the Canton of Geneva, Switzerland (population = 474,211). Methods: PD cases were identified through Geneva University Hospitals, private neurologists and nursing homes medical records (n = 1115). Controls derived from a population-based study (n = 12,614) and a comprehensive population census dataset (n = 237,771). All individuals were geographically localized based on their place of residence. Spatial Getis-Ord Gi* statistics were used to identify clusters of high versus low disease prevalence. Confounder-adjustment was performed for age, sex, nationality and income. Tukey's honestly significant difference was used to determine whether nitrogen dioxide and particulate matters PM 10 concentrations were different within PD hotspots, coldspots or neutral areas. Results: Confounder-adjustment greatly reduced greatly the spatial association. Characteristics of the geographic space influenced PD prevalence in 6% of patients. PD hotspots were concentrated in the urban centre. There was a significant difference in mean annual nitrogen dioxide and PM 10 levels (+3.6 μg/m3 [p < 0.001] and +0.63 μg/m3 [p < 0.001] respectively) between PD hotspots and coldspots. Conclusion:PD prevalence exhibited a spatial dependence for a small but significant proportion of patients. A positive association was detected between PD clusters and air pollution. Our data emphasize the multifactorial nature of PD and support a link between PD and air pollution.

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Parkinson's disease and long-term exposure to outdoor air pollution: A matched case-control study in the Netherlands

Cited by 47 publications

References 25 publications

Road proximity, air pollution, noise, green space and neurologic disease incidence: a population-based cohort study

Road proximity, air pollution, noise, green space and neurologic disease incidence: a population-based cohort study

Human Periapical Cyst-Derived Stem Cells Can Be A Smart “Lab-on-A-Cell” to Investigate Neurodegenerative Diseases and the Related Alteration of the Exosomes’ Content

Geospatial analysis of individual-based Parkinson's disease data supports a link with air pollution: A case-control study

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