Abstract
杭栋,沈洪兵.代谢组流行病学研究进展[J].Chinese journal of Epidemiology,2021,42(7):1148-1153
代谢组流行病学研究进展
Progress in metabolomics epidemiology
Received:April 13, 2021  
DOI:10.3760/cma.j.cn112338-20210413-00310
KeyWord: 系统流行病学  代谢组流行病学  糖尿病  心血管疾病  肿瘤
English Key Word: Systems epidemiology  Metabolomics epidemiology  Diabetes  Cardiovascular disease  Cancer
FundProject:国家自然科学基金(81521004,81973127);江苏省自然科学基金(BK20190083)
Author NameAffiliationE-mail
Hang Dong Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China  
Shen Hongbing Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China hbshen@njmu.edu.cn 
Hits: 8619
Download times: 1846
Abstract:
      近年来,基于代谢组学技术平台和数据分析方法的快速发展,作为系统流行病学的重要分支——代谢组流行病学正获得越来越多的关注。代谢组流行病学有助于更好地描述暴露特征,反映环境-基因相互作用的效应,阐明暴露与疾病的"黑箱"机制,并发现新的生物标志物。本文简要介绍代谢组流行病学研究的定义、方法、研究进展及展望。
English Abstract:
      In recent years, with the rapid development of metabonomic technology and analytic methods, metabolomics epidemiology, as an important branch of systems epidemiology, attracts more attention. Metabolomics epidemiology can better describe the characteristics of exposure, reflect the interaction between environmental factors and genetics, uncover the "black box" of the mechanisms underlying exposure and disease, and identify new biomarkers. This article briefly introduces the definition, methods, and progress of metabolomics epidemiology.
View Fulltext   Html FullText     View/Add Comment  Download reader
Close