“…The exposure assessment method did not account for potentially relevant factors, such as wind patterns at the time of application or geographic features that may influence pesticide drift, and it also assumes that the participant was at the recorded location during the exposure relevant time or that the agent was still active and exposed the residents after application had occurred. However, being within a certain buffer of a pesticide application is one of the strongest predictors of air concentrations of pesticides, and resuspension from these applications is generally constant over at least a week-long period [55]. We have also previously validated our approach with high specificity for organochlorines with serum measurements [48].…”
Parkinson's disease (PD) is a complex, multi-factorial neurodegenerative disease, known to involve genetic, aging-related components, but also to be highly sensitive to environmental factors. In particular, ample evidence links pesticides to PD etiology. Here, establishing a field-to-bench paradigm, we have combined record-based exposure assessment in a population-based epidemiologic study of PD with testing in dopaminergic neurons produced from iPSCs to further identify and classify PD-relevant pesticides. First, agricultural pesticide-application records in California enabled us to investigate exposure to nearly 300 specific pesticides and PD risk in a comprehensive, pesticide-wide association study (PWAS). We implicated long-term exposure to 53 pesticide active ingredients in PD risk and identified their relevant co-exposure profiles. Second, to identify which of these pesticides might contribute to PD through direct effects on dopaminergic neurons, we employed a live-cell imaging screening paradigm in which neurons, definitively identified with a tyrosine hydroxylase reporter, were exposed to 43 of the high-risk pesticides. Using detailed morphometric measures, we found 10 pesticides were directly toxic to these neurons. Further, we analyzed pesticides typically used in combinations in cotton farming. Among these "cotton cluster" pesticides, co-exposures resulted in markedly greater toxicity than any single pesticide. Trifluralin was a pivotal driver of toxicity to dopaminergic neurons and led to marked mitochondrial dysfunction. Our field-to-bench paradigm may prove useful to mechanistically dissect pesticide exposure implicated in PD risk, and guide agricultural policy in the future.
“…The exposure assessment method did not account for potentially relevant factors, such as wind patterns at the time of application or geographic features that may influence pesticide drift, and it also assumes that the participant was at the recorded location during the exposure relevant time or that the agent was still active and exposed the residents after application had occurred. However, being within a certain buffer of a pesticide application is one of the strongest predictors of air concentrations of pesticides, and resuspension from these applications is generally constant over at least a week-long period [55]. We have also previously validated our approach with high specificity for organochlorines with serum measurements [48].…”
Parkinson's disease (PD) is a complex, multi-factorial neurodegenerative disease, known to involve genetic, aging-related components, but also to be highly sensitive to environmental factors. In particular, ample evidence links pesticides to PD etiology. Here, establishing a field-to-bench paradigm, we have combined record-based exposure assessment in a population-based epidemiologic study of PD with testing in dopaminergic neurons produced from iPSCs to further identify and classify PD-relevant pesticides. First, agricultural pesticide-application records in California enabled us to investigate exposure to nearly 300 specific pesticides and PD risk in a comprehensive, pesticide-wide association study (PWAS). We implicated long-term exposure to 53 pesticide active ingredients in PD risk and identified their relevant co-exposure profiles. Second, to identify which of these pesticides might contribute to PD through direct effects on dopaminergic neurons, we employed a live-cell imaging screening paradigm in which neurons, definitively identified with a tyrosine hydroxylase reporter, were exposed to 43 of the high-risk pesticides. Using detailed morphometric measures, we found 10 pesticides were directly toxic to these neurons. Further, we analyzed pesticides typically used in combinations in cotton farming. Among these "cotton cluster" pesticides, co-exposures resulted in markedly greater toxicity than any single pesticide. Trifluralin was a pivotal driver of toxicity to dopaminergic neurons and led to marked mitochondrial dysfunction. Our field-to-bench paradigm may prove useful to mechanistically dissect pesticide exposure implicated in PD risk, and guide agricultural policy in the future.
“…For this, we selected some homes located very close to the fields (<50 m) (N = 16), some more further away (50 m-150 m) (N = 14) and some located between 150 m and 250 m (N = 11). These buffers are based on previous research done on pesticide concentrations at different distances downwind (Siebers et al, 2003;Figueiredo et al, 2021b) and ensured that homes were located both up and down-wind of the application (all cardinal directions). All controls were included in the sample analyses.…”
Section: Homesmentioning
confidence: 99%
“…Distance from home to closest agricultural field is used as a spatial variable. See Figueiredo et al for details on collection of both meteorological and spatial variables (section 2.7, Figueiredo et al, 2021b).…”
Section: Questionnaires and Variables Used For Modelling Purposesmentioning
confidence: 99%
“…Here, air concentrations sampled via active air samplers parallel to the dust collection are used as input. Detailed methods and results regarding air measurements can be found in Figueiredo et al, (2021b). The full list of variables and type (i.e.…”
Section: Questionnaires and Variables Used For Modelling Purposesmentioning
“…Single sampling times in chapter 2/3 and in chapter 4 allowed for the aimed snapshot of soil contamination by pesticides but hampered the evaluation of 6 pesticide use or pesticide degradation dynamics, which are important for management and risk evaluations. Off-site transport of pesticides was estimated from potential water-and wind-erosion rates, but not validated in field, experimental, or modelling setups [similar to what was done for some compounds in (Bento et al, 2019;Figueiredo et al, 2021;Yang et al, 2015)]. Some of the pesticide residues found in soils have also been found in water and/or air by other researchers, but (inter)relations between compartments were assumed to be too speculative.…”
Pesticide use is a major foundation of the agricultural intensification observed over the last few decades. As a result, soil contamination by pesticide residues has become an issue of increasing concern due to some pesticides' high soil persistence and toxicity to non-target species. In this study, the distribution of 76 pesticide residues was evaluated in 317 agricultural topsoil samples from across the European Union. The soils were collected in 2015 and originated from 11 EU Member States and 6 main cropping systems. Over 80% of the tested soils contained pesticide residues (25% of samples had 1 residue, 58% of samples had mixtures of two or more residues), in a total of 166 different pesticide combinations. Glyphosate and its metabolite AMPA, DDTs (DDT and its metabolites), and the broad-spectrum fungicides boscalid, epoxiconazole, and tebuconazole were the compounds most frequently found in the soil samples and the compounds found at the highest concentrations. These compounds occasionally exceeded their predicted environmental concentrations in soil but were below the respective toxic endpoints for standard in-soil organisms. The maximum individual pesticide content assessed in a soil sample was 2.05 mg/kg, the maximum total pesticide content was 2.87 mg/kg. This study reveals that the presence of mixtures of pesticide residues in soils is the rule rather than the exception, indicating that environmental risk assessment procedures should be adapted accordingly to minimize related risks to soil life and beyond. This information can be used to implement monitoring programs for pesticide residues in soil and to trigger toxicity assessments of mixtures of pesticide residues on a wider range of soil species to perform more comprehensive and accurate risk assessments.
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