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整合蛋白质组学和代谢组学揭示雷公藤内酯醇诱导肾毒性的机制。

Integrated Proteomics and Metabolomics Reveal the Mechanism of Nephrotoxicity Induced by Triptolide.

机构信息

Tianjin University of Traditional Chinese Medicine, No. 10, Poyang Lake Road, West Zone, Tuanbo New City, Jinghai District, Tianjin 301600, China.

出版信息

Chem Res Toxicol. 2020 Jul 20;33(7):1897-1906. doi: 10.1021/acs.chemrestox.0c00091. Epub 2020 Jun 10.

Abstract

Triptolide (TP), the main active ingredient of Tripterygium wilfordii Hook F., has great potential in the treatment of autoimmune diseases. However, it has been found that the side effects of TP involve multiple organs and systems, of which the most serious side effects relate to the kidney. The mechanism of nephrotoxicity caused by TP requires further investigation. In the present study, we integrated proteomic and metabolomic methods to identify proteins and small molecule metabolites associated with TP-induced nephrotoxicity. There was a significant difference ( value <0.05) in the expression changes of 357 proteins for quantitative proteomics. In addition, high resolution metabolomic data showed significant changes in the levels of 9 metabolites, including hypoxanthine, PC(22:0/18:4), sphingosine, phenylalanine, etc. Finally, based on the Kyoto Encyclopaedia of Genes and Genomes (KEGG) database for network analysis, it was determined that the 7 differentially expressed proteins were highly correlated with these 9 metabolites. Enrichment analysis revealed that the metabolic pathways involved purine and pyrimidine metabolism, glycerol and phospholipid metabolism, sphingolipid metabolism, and amino acid metabolism. The key target proteins were verified by Western blot technology, and the mechanism of TP-induced nephrotoxicity was further elucidated to provide a basis for safe and rational application.

摘要

雷公藤红素(TP)是卫矛科雷公藤属植物雷公藤的主要活性成分,在治疗自身免疫性疾病方面具有巨大潜力。然而,已经发现 TP 的副作用涉及多个器官和系统,其中最严重的副作用与肾脏有关。TP 引起的肾毒性的机制需要进一步研究。在本研究中,我们整合了蛋白质组学和代谢组学方法来鉴定与 TP 诱导的肾毒性相关的蛋白质和小分子代谢物。定量蛋白质组学中有 357 种蛋白质的表达变化有显著差异( value <0.05)。此外,高分辨率代谢组学数据显示 9 种代谢物的水平有显著变化,包括次黄嘌呤、PC(22:0/18:4)、神经鞘氨醇、苯丙氨酸等。最后,基于京都基因与基因组百科全书(KEGG)数据库进行网络分析,确定 7 个差异表达蛋白与这 9 个代谢物高度相关。富集分析显示,涉及嘌呤和嘧啶代谢、甘油和磷脂代谢、鞘脂代谢和氨基酸代谢的代谢途径。通过 Western blot 技术验证了关键靶蛋白,并进一步阐明了 TP 诱导的肾毒性机制,为安全合理应用提供了依据。

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