Institute of Computational Comparative Medicine, Department of Anatomy and Physiology, Kansas State University, Manhattan, KS, 66506, USA.
National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, 35053, Taiwan, Republic of China.
Environ Sci Pollut Res Int. 2018 Feb;25(6):5359-5368. doi: 10.1007/s11356-017-0875-4. Epub 2017 Dec 5.
Exposure to several specific pesticides has led to an increase of Parkinson's disease (PD) risk. However, it is difficult to quantify the PD population risk related to certain pesticides in regions where environmental exposure data are scarce. Furthermore, the time trend of the prevalence and incidence of PD embedded in the background relationship between PD risk and pesticide exposures has not been well characterized. It has been convincingly identified that a key pesticide associated significantly with an increased risk trend of PD is paraquat (PQ). Here, we present a novel, probabilistic population-based exposure-response approach to quantify the contribution from PQ exposure to prevalence risk of PD. We found that the largest PQ exposure contributions occurred in its positive trend during 2004-2011, with the PQ contributing nearly 21 and 24%, respectively, to the PD prevalence rates among the age groups of 70-79 and ≥ 80 years in Taiwan. We also employed the present population risk model to predict the PQ-induced PD prevalence based on the projected rates of increase in PQ exposure associated with age-specific population. The predicted outcome can be used as an early warning signal for public health authorities. We suggest that a mechanistic understanding of the contribution of a specific pesticide exposure to PD risk trends is crucial to enhance our insights into the perspective on the impacts of environmental exposure on the neurodegenerative diseases.
接触几种特定的农药会导致帕金森病(PD)风险增加。然而,在环境暴露数据稀缺的地区,很难量化与某些农药相关的特定人群 PD 风险。此外,PD 风险与农药暴露之间潜在关系所嵌入的 PD 流行率和发病率的时间趋势尚未得到很好的描述。有令人信服的证据表明,一种与 PD 风险增加趋势显著相关的关键农药是百草枯(PQ)。在这里,我们提出了一种新颖的、基于概率的人群暴露反应方法,以量化 PQ 暴露对 PD 流行率风险的贡献。我们发现,PQ 暴露的最大贡献发生在 2004-2011 年的阳性趋势期间,PQ 分别对台湾 70-79 岁和≥80 岁年龄组的 PD 流行率贡献了近 21%和 24%。我们还利用目前的人群风险模型,根据与年龄相关的 PQ 暴露增长率预测 PQ 引起的 PD 流行率。预测结果可作为公共卫生当局的早期预警信号。我们建议,对特定农药暴露对 PD 风险趋势的贡献有一个机制上的理解,这对于增强我们对环境暴露对神经退行性疾病影响的观点至关重要。