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Bioinformatics-assisted zebrafish model reveals the mechanism of EHDPP-induced metabolic disease |
NI An-yu, LI Jin-yun, FANG Lu, WAN Ke-wei, CHEN Yang, WANG Hui-li, YAN Jin |
The school of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China |
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Abstract This study utilized data mining from public databases, such as CTD and GEO, to demonstrate that EHDPP has the risk of inducing metabolic diseases by modulating various cell membrane receptor-mediated biological signaling pathways, which are related to the development of metabolic disorders and inflammation. Then, zebrafish larvae were utilized as models and exposed to a sublethal dose of EHDPP in order to validate the aforementioned findings. The findings revealed that after 5days of 500μg/L-EHDPP exposure, the content of triglycerides and total cholesterol in zebrafish larvae increased by 53.8% and 32.1%, respectively. Additionally, qRT-PCR results indicated that the lipid metabolism pathway mediated by Pparγ may serve as a potential pivotal mechanism for the induction of abnormal lipid accumulation in zebrafish caused by EHDPP.
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Received: 31 January 2023
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