Applications of high content screening technique in toxic substance detection and toxicity evaluation
10.3867/j.issn.1000-3002.2024.09.008
- VernacularTitle:高内涵筛选技术在有毒物质筛查及毒性评价中的应用
- Author:
Pengxia GAO
1
,
2
;
Mengqiang GONG
;
Zhi LI
;
Bo MA
;
Aibing CHEN
;
Hua XU
;
Lili WANG
;
Jianwei XIE
Author Information
1. 河北科技大学化学与制药工程学院,河北 石家庄 050091
2. 军事科学院军事医学研究院,北京 100850
- Keywords:
high content screening;
toxic substances;
toxicity;
screening;
testing;
evaluation
- From:
Chinese Journal of Pharmacology and Toxicology
2024;38(9):710-720
- CountryChina
- Language:Chinese
-
Abstract:
Human beings are inevitably exposed to toxic substances as a result of influences of potential contamination factors in the environment,food and medicines,which poses a threat to human health.In order to effectively screen and prevent the exposure or intake of such substances,it is neces-sary to develop in vitro assays for the detection and toxicity evaluation of toxic substances.High content screening(HCS)has been recognized as an important tool for toxicity testing and risk assessment of compounds due to its high throughput and automation advantages,and has been widely used in in vitro toxicology research.In this review,we described the system components of HCS and its workflow in toxicity screening and toxicity evaluation by focusing on cases of their application in toxicity detection and evaluation studies,including the cytotoxicity,hepatotoxicity,nephrotoxicity,genotoxicity,neurotox-icity,cardiotoxicity,and developmental toxicity.In addition,the applications and developments of machine learning in HCS were explored,especially to the advantages of supervised and unsupervised machine learning strategies for high throughput image screening and data analysis.Finally,the future applications of HCS in toxicity screening and evaluation are outlined,especially in terms of binding new models and gene editing technology.
