神经管畸形发生的区域人群代谢与环境暴露水平空间分析

项目名称： 神经管畸形发生的区域人群代谢与环境暴露水平空间分析

项目编号： No.41271439

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 天文学、地球科学

项目作者： 裴丽君

作者单位： 北京大学

项目金额： 75万元

中文摘要： 出生缺陷已成为影响我国出生人口素质、制约社会经济发展的严重问题。阐明其发生水平和环境风险的区域差异及其病因发生机理，是解决我国区域出生缺陷一级预防和干预的战略需求。 本研究基于地理信息系统平台，采用空间统计分析技术、流行病学、生物化学等多学科结合的方法和手段，利用已建立的多区域重大出生缺陷（神经管畸形，NTDs）前瞻性队列获取的人群环境暴露因子及代谢组学信息，结合NTDs高发区和低发区自然环境、社会环境、环境污染物暴露水平，分析区域人群的代谢变化和环境风险因素暴露水平之间的关联，阐明地理环境因素、人群环境暴露因子和代谢物改变之间的作用途径及作用机制，为发展高危人群的预警体系和危险度评价模式提供依据。 本项目是空间分析方法在出生缺陷病因研究领域的拓展，为出生缺陷发生机理研究开辟了新的研究思路，具有重要的实际应用价值，其研究成果可为我国不同区域的出生缺陷一级预防和干预提供理论基础和技术支撑。

中文关键词： 神经管畸形;；空间分析技术；；流行病学；；环境暴露；；

英文摘要： Birth defects have become a serious problem affecting the quality of births, which compromises social and economic development in China. To accurately describe the regional differences in prevalence of major birth defects, environmental risks and underlying mechanisms, are the strategic needs on the prevention and intervention of birth defects. This project is based on the geographic information system platform and a multi-disciplinary methods including spatial statistical analysis techniques, epidemiology, biochemistry and others. We will collect the information of environmental exposure factors and the metabonomics by the established prospective cohort with birth defects (Neural Tube Defects, NTDs) in high- and low-prevalence areas, and analyze the associations between metabolite change and environmental risk through combining the datum of the natural environment, social environment and exposure levels of pollutants. Finally, we will investigate the pathways and mechanisms of the geographical environment factors, population exposure and metabolites changes to provide the basis for the development the early warning systems of high-risk population and risk assessment model. As the expansion of spatial analysis methods in the field of birth defects study,the project will establish a new method for studying mec

英文关键词： Neural tube defects;；spatial analysis technology;；epidemiology;；environmental exposure；