Abnormality of mussel in the early developmental stages induced by graphene and triphenyl phosphate: In silico toxicogenomic data-mining, in vivo, and toxicity pathway-oriented approach
Wang, Xiaoqing2,3; Li, Fei1,3; Meng, Xiangjing2,3; Xia, Chunlei1,3; Ji, Chenglong1,3; Wu, Huifeng1,3
刊名AQUATIC TOXICOLOGY
2023-10-01
卷号263页码:11
关键词Plastic additives Graphene-based nanomaterials Toxicogenomic data mining Combined hazards Developmental abnormality
ISSN号0166-445X
DOI10.1016/j.aquatox.2023.106674
通讯作者Li, Fei(fli@yic.ac.cn)
英文摘要Increasing number of complex mixtures of organic pollutants in coastal area (especially for nanomaterials and micro/nanoplastics associated chemicals) threaten aquatic ecosystems and their joint hazards are complex and demanding tasks. Mussels are the most sensitive marine faunal groups in the world, and their early developmental stages (embryo and larvae) are particularly susceptible to environmental contaminants, which can distinguish the probable mechanisms of mixture-induced growth toxicity. In this study, the potential critical target and biological processes affected by graphene and triphenyl phosphate (TPP) were developed by mining public toxicogenomic data. And their combined toxic effects were verified by toxicological assay at early developmental stages in filter-feeding mussels (embryo and larvae). It showed that interactions among graphene/ TPP with 111 genes (ABCB1, TP53, SOD, CAT, HSP, etc.) affected phenotypes along conceptual framework linking these chemicals to developmental abnormality endpoints. The PPAR signaling pathway, monocarboxylic acid metabolic process, regulation of lipid metabolic process, response to oxidative stress, and gonad development were noted as the key molecular pathways that contributed to the developmental abnormality. Enriched phenotype analysis revealed biological processes (cell proliferation, cell apoptosis, inflammatory response, response to oxidative stress, and lipid metabolism) affected by the investigated mixture. Combined, our results supported that adverse effects induced by contaminants/ mixture could not only be mediated by single receptor signaling or be predicted by the simple additive effect of contaminants. The results offer a framework for better comprehending the developmental toxicity of environmental contaminants in mussels and other invertebrate species, which have considerable potential for hazard assessment of coastal mixture.
WOS关键词EARLY EMBRYO DEVELOPMENT ; FRESH-WATER MUSSEL ; MYTILUS-GALLOPROVINCIALIS ; MOLECULAR-MECHANISMS ; ZEBRAFISH EMBRYOS ; FLAME RETARDANTS ; LARVAL STAGES ; LIFE-STAGES ; NANOPARTICLES ; CADMIUM
WOS研究方向Marine & Freshwater Biology ; Toxicology
语种英语
WOS记录号WOS:001070117600001
资助机构National Natural Science Founda-tion of China (NSFC) -Shandong Joint Fund ; National Natural Science Foundation of China ; Natural Science Foundation of Shandong Province ; Youth Innovation Promotion Association CAS
内容类型期刊论文
源URL[http://ir.yic.ac.cn/handle/133337/32854]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
通讯作者Li, Fei
作者单位1.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, CAS Key Lab Coastal Environm Proc & Ecol Remediat, YICCAS,Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China
推荐引用方式
GB/T 7714
Wang, Xiaoqing,Li, Fei,Meng, Xiangjing,et al. Abnormality of mussel in the early developmental stages induced by graphene and triphenyl phosphate: In silico toxicogenomic data-mining, in vivo, and toxicity pathway-oriented approach[J]. AQUATIC TOXICOLOGY,2023,263:11.
APA Wang, Xiaoqing,Li, Fei,Meng, Xiangjing,Xia, Chunlei,Ji, Chenglong,&Wu, Huifeng.(2023).Abnormality of mussel in the early developmental stages induced by graphene and triphenyl phosphate: In silico toxicogenomic data-mining, in vivo, and toxicity pathway-oriented approach.AQUATIC TOXICOLOGY,263,11.
MLA Wang, Xiaoqing,et al."Abnormality of mussel in the early developmental stages induced by graphene and triphenyl phosphate: In silico toxicogenomic data-mining, in vivo, and toxicity pathway-oriented approach".AQUATIC TOXICOLOGY 263(2023):11.
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