NETWORK TOXICOLOGY FOR THE CARDIOVASCULAR TOXICITY ANALYSIS OF TYROSINE KINASE INHIBITORS

Q4 Pharmacology, Toxicology and Pharmaceutics Ankara Universitesi Eczacilik Fakultesi Dergisi Pub Date : 2024-07-24 DOI:10.33483/jfpau.1478733
Fuat Karakuş
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Abstract

Objective: This study aims to explore potential molecular mechanisms and targets of cardiovascular toxicities caused by tyrosine kinase inhibitors. Therefore, toxicogenomic data mining was conducted focusing on sunitinib, sorafenib, pazopanib, axitinib, and their associations with cardiovascular diseases. Material and Method: Common genes between tyrosine kinase inhibitors and cardiovascular diseases were uncovered via comparative toxicogenomic databases. Additionally, protein-protein and gene-gene interactions were identified using STRING and GeneMANIA, respectively. Subsequently, hub proteins associated with tyrosine kinase inhibitor-induced cardiovascular diseases were determined through Metascape. Transcription factors and microRNAs related to this toxicity were identified using ChEA3 and MIENTURNET, respectively. Finally, gene ontology enrichment analysis and the most associated molecular pathways were identified using the DAVID database and Metascape, respectively. Result and Discussion: Toxicogenomic data mining revealed six genes common between tyrosine kinase inhibitors and cardiovascular diseases, with five of these genes (FLT1, FLT4, KDR, MAPK1, and MAPK3) identified as hub genes. Physical interaction was dominant among these hub genes (77.64%). Sunitinib, sorafenib, pazopanib, and axitinib generally downregulated the activities of these proteins. SOX17 and SOX18 were prominent among transcription factors, while hsa-miR-199a-3p was the most important microRNA associated with this toxicity. Moreover, the Ras signaling pathway was mostly associated with tyrosine kinase inhibitor-induced cardiovascular toxicities. These findings make a substantial contribution to understanding the processes underlying cardiovascular diseases induced by sunitinib, sorafenib, pazopanib, and axitinib. They also reveal novel potential therapeutic targets, including genes, proteins, transcription factors, microRNAs, and pathways.
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用于酪氨酸激酶抑制剂心血管毒性分析的网络毒理学
研究目的本研究旨在探索酪氨酸激酶抑制剂导致心血管毒性的潜在分子机制和靶点。因此,研究人员针对舒尼替尼、索拉非尼、帕唑帕尼、阿西替尼及其与心血管疾病的关联进行了毒性基因组数据挖掘:材料: 通过比较毒物基因组数据库发现了酪氨酸激酶抑制剂与心血管疾病之间的共同基因。此外,还使用 STRING 和 GeneMANIA 分别鉴定了蛋白质-蛋白质和基因-基因之间的相互作用。随后,通过 Metascape 确定了与酪氨酸激酶抑制剂诱发的心血管疾病相关的枢纽蛋白。利用 ChEA3 和 MIENTURNET 分别确定了与这种毒性相关的转录因子和 microRNA。最后,利用 DAVID 数据库和 Metascape 分别确定了基因本体富集分析和最相关的分子通路:毒物基因组学数据挖掘发现了酪氨酸激酶抑制剂与心血管疾病之间的六个共同基因,其中五个基因(FLT1、FLT4、KDR、MAPK1和MAPK3)被确定为枢纽基因。在这些枢纽基因中,物理相互作用占主导地位(77.64%)。舒尼替尼、索拉非尼、帕唑帕尼和阿西替尼普遍下调了这些蛋白的活性。SOX17和SOX18在转录因子中表现突出,而hsa-miR-199a-3p则是与这种毒性相关的最重要的microRNA。此外,Ras信号通路与酪氨酸激酶抑制剂诱发的心血管毒性关系密切。这些发现对理解舒尼替尼、索拉非尼、帕唑帕尼和阿西替尼诱发心血管疾病的基本过程做出了重大贡献。它们还揭示了新的潜在治疗靶点,包括基因、蛋白质、转录因子、microRNA 和通路。
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来源期刊
Ankara Universitesi Eczacilik Fakultesi Dergisi
Ankara Universitesi Eczacilik Fakultesi Dergisi Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
0.80
自引率
0.00%
发文量
70
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