Wang, Xiaoqing1,2,3
; Li, Fei1,2; Chen, Jingwen4; Ji, Chenglong1,2,5; Wu, Huifeng1,2,5发表期刊ACS SUSTAINABLE CHEMISTRY & ENGINEERING
ISSN2168-0485
2021-03-22
卷号9期号:11页码:4130-4138
关键词Adverse outcome pathway (AOP)Comparative toxicogenomics database (CTD)Triphenyl phosphate (TPP)Molecular dynamics (MD)Transcriptome analyses
DOI10.1021/acssuschemeng.0c09196
通讯作者Li, Fei(fli@yic.ac.cn); Wu, Huifeng(hfwu@yic.ac.cn)
英文摘要Growing numbers of synthetic chemicals have potential endocrine-disrupting effects and cause potential ecological and health risks. However, the primary toxicity pathways and mechanisms of endocrine disruption are poorly understood and the existing risk assessment relies heavily on animal testing. Database mining, omics technology, and computer simulation can serve as an alternative approach to explore the mechanisms by building adverse outcome pathways (AOPs). The present study took a case of thyroid interference with triphenyl phosphate (TPP) to explain the potential toxic effects at levels from submolecules to cells utilizing the AOP framework developed by multiple techniques. This study retrieved the data from a comparative toxicogenomics database (CTD) and screened out the core gene. Molecular dynamics (MD) analysis was used to explore configuration changes and confirm the molecular initiating event (MIE). The transcriptomic analysis was further utilized to supplement the relationships between MIEs and key events (KEs) of the AOP. The thyroid hormone receptor beta (THRB) was identified as the core gene at submolecular levels. MD analysis found that the configuration changes of C-terminal helix 12 (H12) of thyroid hormone receptor beta (TR beta) were discovered as the MIE. The transcriptomic analysis extended the related KE1 at the subcellular level, such as changes in gene expression levels for coding cycle regulation (CCND1), inflammatory response (IL1A and IL6), and cell proliferation and apoptosis (BAD, TP53, and CASP9). Then, the KE2 at cellular levels such as apoptosis, cell cycle control, and cell proliferation were influenced accordingly. As a result, these alterations led to thyroid disorder as adverse outcomes. This study provided an efficient way to facilitate the complement of possible AOPs and brought new insights into understanding the toxic mechanisms of emerging synthetic chemicals.
资助机构Yantai Science and Technology Development Plan; National Natural Science Foundation of China; Youth Innovation Promotion Association CAS
收录类别SCI
语种英语
研究领域[WOS]Chemistry; Science & Technology - Other Topics; Engineering
WOS记录号WOS:000636758600018
引用统计被引频次：6[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/27233
专题中科院海岸带环境过程与生态修复重点实验室
中科院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室
通讯作者Li, Fei; Wu, Huifeng作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Beijing, Peoples R China
2.YICCAS, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Dalian Univ Technol, Sch Environm Sci & Technol, Key Lab Ind Ecol & Environm Engn MOE, Dalian 116024, Peoples R China
5.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
推荐引用方式
GB/T 7714Wang, Xiaoqing,Li, Fei,Chen, Jingwen,et al. Integration of Computational Toxicology, Toxicogenomics Data Mining, and Omics Techniques to Unveil Toxicity Pathways[J]. ACS SUSTAINABLE CHEMISTRY & ENGINEERING,2021,9(11):4130-4138.
APAWang, Xiaoqing,Li, Fei,Chen, Jingwen,Ji, Chenglong,&Wu, Huifeng.(2021).Integration of Computational Toxicology, Toxicogenomics Data Mining, and Omics Techniques to Unveil Toxicity Pathways.ACS SUSTAINABLE CHEMISTRY & ENGINEERING,9(11),4130-4138.
MLAWang, Xiaoqing,et al."Integration of Computational Toxicology, Toxicogenomics Data Mining, and Omics Techniques to Unveil Toxicity Pathways".ACS SUSTAINABLE CHEMISTRY & ENGINEERING 9.11(2021):4130-4138.
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