神经退行性疾病。

IARC scientific publications Pub Date : 2011-01-01
Harvey Checkoway, Jessica I Lundin, Samir N Kelada
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引用次数: 0

摘要

神经系统退行性疾病给全世界人民带来了巨大的医疗和公共卫生负担。阿尔茨海默病(AD)、帕金森病(PD)和肌萎缩侧索硬化症(ALS)是三种主要的神经退行性疾病。这些疾病的患病率和发病率随着年龄的增长而急剧上升;因此,在可预见的将来,随着许多国家的寿命继续延长,预计病例数还会增加。除了一些例外,人们对遗传和环境因素的因果关系知之甚少。尽管如此,分子流行病学方法已被证明在改善疾病诊断、表征疾病预后因素、识别家族性神经退行性疾病的高危基因、调查可能预测这些疾病非家族性形式易感性的常见遗传变异以及量化环境暴露方面具有价值。将分子技术,包括基因组学、蛋白质组学和环境毒性体负荷测量纳入流行病学研究,为进一步确定发病机制和确定特定风险因素,特别是这些疾病的非家族性形式,提供了相当大的希望。在本章中,简要概述了PD、AD和ALS的流行病学特征,并举例说明了分子流行病学方法对潜在疾病机制和危险因素的深入了解,可能会改善医疗管理并最终预防疾病。本章最后对未来分子流行病学研究提出了一些建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neurodegenerative diseases.

Degenerative diseases of the nervous system impose substantial medical and public health burdens on populations throughout the world. Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS) are three of the major neurodegenerative diseases. The prevalence and incidence of these diseases rise dramatically with age; thus the number of cases is expected to increase for the foreseeable future as life spans in many countries continue to increase. Causal contributions from genetic and environmental factors are, with some exceptions, poorly understood. Nonetheless, molecular epidemiology approaches have proven valuable for improving disease diagnoses, characterizing disease prognostic factors, identifying high-risk genes for familial neurodegenerative diseases, investigating common genetic variants that may predict susceptibility for the non-familial forms of these diseases, and for quantifying environmental exposures. Incorporation of molecular techniques, including genomics, proteomics, and measurements of environmental toxicant body burdens into epidemiologic research, offer considerable promise for enhancing progress on characterizing pathogenesis mechanisms and identifying specific risk factors, especially for the non-familial forms of these diseases. In this chapter, brief overviews are provided of the epidemiologic features of PD, AD, and ALS, as well as illustrative examples in which molecular epidemiologic approaches have advanced knowledge on underlying disease mechanisms and risk factors that might lead to improved medical management and ultimately disease prevention. The chapter concludes with some recommendations for future molecular epidemiology research.

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