Farming and Movement Evaluation Study (FAME) FAME is a case-control study of PD nested in the Agricultural Health Study (AHS), including 115 PD cases and 384 matched controls. PD diagnosis was verified by movement disorder specialists. Exposure was evaluated using data from the AHS and from additional telephone interviews. Our initial studies focused on pathophysiologic mechanisms implicated in PD by experimental models and genetic studies, including oxidative stress and mitochondrial dysfunction. PD risk was increased 2-fold by pesticides that affect these mechanisms, including the herbicide paraquat and rotenone, an insecticide now used primarily to kill fish. Our results support previous work implicating these mechanisms in PD and provide evidence that certain specific pesticides are associated with PD risk. Personal protective equipment: Protective gloves and workplace hygiene can reduce pesticide exposure. We evaluated whether gloves and hygiene modified the association of PD with use of the pesticides paraquat, permethrin, rotenone, and trifluralin. 61% of respondents consistently used protective gloves and 87% consistently used at least 2 hygiene practices. Protective glove use modified the associations of paraquat and permethrin with PD: neither pesticide was associated with PD among glove users, while both pesticides were associated with 4-fold increase in PD risk among non-users. Rotenone was associated with PD regardless of glove use. Trifluralin increased PD risk among people who used fewer than 2 hygiene practices but not among those using 2 or more practices. Thus protective glove use and hygiene practices may reduce risk of PD associated with certain pesticides. Peptidoglycan recognition proteins (PGRPs) and PD: Increased gut permeability, inflammation, and colonic alpha-synuclein pathology are present in early PD and may contribute to PD pathogenesis. Peptidoglycan is a structural component of the bacterial cell wall. PGRPs maintain healthy gut microbial flora by regulating the immune response to both commensal and harmful bacteria. We tested the hypothesis that PGRP genetic variants are associated with PD risk. We genotyped 30 SNPs in the four PGLYRP genes. Three of seven PGLYRP2 SNPs, one of five PGLYRP3 SNPs, and six of nine PGLYRP4 SNPs were significantly associated with PD risk. Association was strongest for PGLYRP4 5-prime untranslated region SNP rs10888557 (GG reference, CG OR 0.6 95%CI 0.4-0.9, CC OR 0.15 95%CI 0.04-0.6; log-additive P-trend, 0.0004). These results are consistent with a role for gut microbiota and gastrointestinal immune response in PD. Other studies in the AHS Air pollutants and PD: We evaluated associations of ozone and fine particulate matter with PD in AHS cohort members. Daily predicted pollutant concentrations were used to derive surrogates of long-term exposure and link them to study participants geocoded addresses. Both pollutants increased PD risk by 30% in North Carolina but not in Iowa. The plausibility of an association of ambient pollutant concentrations on PD risk is supported by experimental data demonstrating damage to dopaminergic neurons at relevant pollutant concentrations. Validation of self-reported cases: Baseline and follow-up AHS questionnaires asked about physician-diagnosed PD. We identified 818 individuals who reported a physician diagnosis in at least one of the four questionnaires or else PD was reported on their death certificate. We are screening these individuals or their proxies by telephone using a series of questions on symptoms and medication use. Responses were reviewed by a neurologist to assign a diagnosis. Screening and evaluation are complete for 433 individuals of whom 302 (70%) were judged to have PD. We plan to use data from the AHS to evaluate associations of PD risk with pesticides and other neurotoxicants (eg, metals). We will also study whether early symptoms, both motor (tremor, slow movement) and nonmotor (olfaction, sleep problems, depression), predict development of PD and whether pesticide exposure affects this process. We will thus have a unique opportunity to study the development of PD in the context of ongoing exposure.
| Goldman, S M; Umbach, D M; Kamel, F et al. (2015) Head injury, ?-synuclein Rep1 and Parkinson's disease: a meta-analytic view of gene-environment interaction. Eur J Neurol 22:e75 |
| Furlong, Melissa; Tanner, Caroline M; Goldman, Samuel M et al. (2015) Protective glove use and hygiene habits modify the associations of specific pesticides with Parkinson's disease. Environ Int 75:144-50 |
| Kirrane, Ellen F; Bowman, Christal; Davis, J Allen et al. (2015) Associations of Ozone and PM2.5 Concentrations With Parkinson's Disease Among Participants in the Agricultural Health Study. J Occup Environ Med 57:509-17 |
| Goldman, Samuel M; Kamel, Freya; Ross, G Webster et al. (2014) Peptidoglycan recognition protein genes and risk of Parkinson's disease. Mov Disord 29:1171-80 |
| Wirdefeldt, Karin; Weibull, Caroline E; Chen, Honglei et al. (2014) Parkinson's disease and cancer: A register-based family study. Am J Epidemiol 179:85-94 |
| Dong, Jing; Beard, John D; Umbach, David M et al. (2014) Dietary fat intake and risk for Parkinson's disease. Mov Disord 29:1623-30 |
| Kamel, Freya; Goldman, Samuel M; Umbach, David M et al. (2014) Dietary fat intake, pesticide use, and Parkinson's disease. Parkinsonism Relat Disord 20:82-7 |
| Chen, Honglei; Burton, Edward A; Ross, G Webster et al. (2013) Research on the Pre-Motor Symptoms of Parkinson's Disease: Clinical and Etiological Implications. Environ Health Perspect : |
| Kamel, Freya (2013) Epidemiology. Paths from pesticides to Parkinson's. Science 341:722-3 |
| Goldman, Samuel M; Kamel, Freya; Ross, G Webster et al. (2012) Head injury, ?-synuclein Rep1, and Parkinson's disease. Ann Neurol 71:40-8 |
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