Integrating network pharmacology and drug side-effect data to explore mechanism of liver injury-induced by tyrosine kinase inhibitors

被引:1
|
作者
Tang, Miaomiao [1 ,2 ]
Wu, Zhanxuan E. [3 ]
Li, Fei [1 ,3 ,4 ]
机构
[1] Sichuan Univ, West China Hosp, Frontiers Sci Ctr Dis related Mol Network, Dept Gastroenterol & Hepatol,Lab Metabol & Drug in, Chengdu 610041, Sichuan, Peoples R China
[2] Sichuan Univ, Coll Life Sci, Key Lab Bioresource & Ecoenvironm, Minist Educ, Chengdu 610041, Sichuan, Peoples R China
[3] Sichuan Univ, West China Hosp, Frontiers Sci Ctr Dis Related Mol Network, Lab Metabol & Drug Induced Liver Injury,Dept Gastr, Chengdu 610041, Peoples R China
[4] Sichuan Univ, West China Hosp, State Key Lab Resp Hlth & Multimorbid, Chengdu 610041, Sichuan, Peoples R China
关键词
Tyrosine kinase inhibitor; Reactive metabolites; Disease module; Multi-omics; Network pharmacology; Liver injury; REACTIVE METABOLITES; HEPATOTOXICITY; PROTECTS; JNK;
D O I
10.1016/j.compbiomed.2024.108040
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Tyrosine kinase inhibitors (TKIs) are highly efficient small-molecule anticancer drugs. Despite the specificity and efficacy of TKIs, they can produce off-target effects, leading to severe liver toxicity, and even some of them are labeled as black box hepatotoxicity. Thus, we focused on representative TKIs associated with severe hepatic adverse events, namely lapatinib, pazopanib, regorafenib, and sunitinib as objections of study, then integrated drug side-effect data from United State Food and Drug Administration (U.S. FDA) and network pharmacology to elucidate mechanism underlying TKI-induced liver injury. Based on network pharmacology, we constructed a specific comorbidity module of high risk of serious adverse effects and created drug-disease networks. Enrichment analysis of the networks revealed the depletion of all-trans-retinoic acid and the involvement of downregulation of the HSP70 family-mediated endoplasmic reticulum (ER) stress as key factors in TKI-induced liver injury. These results were further verified by transcription data. Based on the target prediction results of drugs and reactive metabolites, we also shed light on the association between toxic metabolites and severe hepatic adverse reactions, and thinking HSPA8, HSPA1A, CYP1A1, CYP1A2 and CYP3A4 were potential therapeutic or preventive targets against TKI-induced liver injury. In conclusion, our research provides comprehensive insights into the mechanism underlying severe liver injury caused by TKIs, offering a better understanding of how to enhance patient safety and treatment efficacy.
引用
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页数:12
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