- VernacularTitle:环境健康效应研究的新技术与新方法
- Author:
Xianan ZHANG
1
;
Shenshen WU
2
;
Qingtao MENG
2
;
Xiaobo LI
2
;
Rui CHEN
2
;
Hanqing CHEN
2
Author Information
- Publication Type:Specialcolumn:Newtechniquesandmethodsforstudyofenvironmentalhealtheffects
- Keywords: environmental health effect; high-throughput omics; alternative toxicology; computational toxicology; epigenetics
- From: Journal of Environmental and Occupational Medicine 2024;41(10):1083-1086
- CountryChina
- Language:Chinese
- Abstract: The health effects associated with environmental pollutants remain one of the major public health issues at present. The research method focusing on the population as the research subjects is limited by reliable cohorts, and the research method targeting individual molecules cannot fully reflect the biological health effects under environmental pollutant stress. Using high-throughput multi-omics, machine learning, and epigenetic detection to conduct targeted research and joint analysis on cells, organoids, organs, animals, and humans in different biological dimensions will help provide data support for the study of potential targets and biological effects of environmental pollutants, providing a theoretical basis for the risk assessment and safety evaluation of environmental pollutants.