Toxicity pathways of lipid metabolic disorders induced by typical replacement flame retardants via data-driven analysis, in silico and in vitro approaches

doi:10.1016/j.chemosphere.2021.132419

	Toxicity pathways of lipid metabolic disorders induced by typical replacement flame retardants via data-driven analysis, in silico and in vitro approaches
	Wang, Xiaoqing1,2,4 ; Wang, Li 3; Li, Fei1,2,5 ; Teng, Yuefa 1,2,4; Ji, Chenglong1,2,5 ; Wu, Huifeng1,2,5
发表期刊	CHEMOSPHERE
ISSN	0045-6535
	2022
卷号	287 页码:9
关键词	Toxicity pathways Lipid metabolism disorder Bibliometric analysis Computational toxicology Data-driven analysis
DOI	10.1016/j.chemosphere.2021.132419
通讯作者	Li, Fei(fli@yic.ac.cn) ; Wu, Huifeng(hfwu@yic.ac.cn)
英文摘要	Endocrine-disrupting chemicals can interfere with hormone action via various pathways, thereby increasing the risk of adverse health outcomes. Organophosphorus ester (OPEs) retardants, a group of new emerging endocrine disruption chemicals, have been referred to as metabolism disruptors and reported to induce chronic health problems. However, the toxicity pathways were mainly focused on nuclear receptor signaling pathways. Significantly, the membrane receptor pathway (such as G protein-coupled estrogen receptor 1 (GPER) signaling pathway) had been gradually realized as the important role in respond more effective to lipid metabolism disorder than traditional nuclear receptors, whereas the detailed mechanism was unclear yet. Therefore, this study innovatively integrated the bibliometric analysis, in silico and in vitro approach to develop toxicity pathways for the mechanism interpretation. Bibliometric analysis found that the typical OPEs -triphenyl phosphate was a major concern of lipid metabolism abnormality. Results verified that TPP could damage the structures of cell membranes and exert an agonistic effect of GPER as the molecular initiating event. Then, the activated GPER could trigger the PI3K-Akt/NCOR1 and mTOR/S6K2/PPAR alpha transduction pathways as key event 1 (KE1) and affect the process of lipid metabolism and synthesis (CPT1A, CPT2, SREBF2 and SCD) as KE2. As a result, these alterations led to lipid accumulation as adverse effect at cellular-levels. Furthermore, the potential outcomes (such as immunity damage, weight change and steatohepatitis) at high biological levels were expanded. These findings improved knowledge to deeply understand toxicity pathways of phosphorus flame retardants and then provided a theoretical basis for risk assessments.
资助机构	Yantai Science and Technology Development Plan ; National Natural Science Founda-tion of China ; Youth Innovation Pro-motion Association CAS
收录类别	SCI
语种	英语
关键词[WOS]	ENDOCRINE-DISRUPTING CHEMICALS ; MOLECULAR-DYNAMICS ; GLOBAL TRENDS ; MEMBRANE ; DIPALMITOYLPHOSPHATIDYLCHOLINE ; BILAYER
研究领域[WOS]	Environmental Sciences & Ecology
WOS记录号	WOS:000704920000003
引用统计	被引频次：9[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.cn/handle/133337/30785
专题	中国科学院海岸带环境过程与生态修复重点实验室中国科学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, Yantai 264003, Peoples R China 2.YICCAS, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China 3.Yantai Yuhuangding Hosp, Dept Western Med, Yantai 264000, Shandong, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xiaoqing,Wang, Li,Li, Fei,et al. Toxicity pathways of lipid metabolic disorders induced by typical replacement flame retardants via data-driven analysis, in silico and in vitro approaches[J]. CHEMOSPHERE,2022,287:9.
APA	Wang, Xiaoqing,Wang, Li,Li, Fei,Teng, Yuefa,Ji, Chenglong,&Wu, Huifeng.(2022).Toxicity pathways of lipid metabolic disorders induced by typical replacement flame retardants via data-driven analysis, in silico and in vitro approaches.CHEMOSPHERE,287,9.
MLA	Wang, Xiaoqing,et al."Toxicity pathways of lipid metabolic disorders induced by typical replacement flame retardants via data-driven analysis, in silico and in vitro approaches".CHEMOSPHERE 287(2022):9.