Literature DB >> 31887668

Metabolic profiling of tyrosine kinase inhibitor nintedanib using metabolomics.

Zi-Meng Zhou1, Yi-Kun Wang2, Dong-Mei Yan3, Jian-He Fang3, Xue-Rong Xiao4, Ting Zhang2, Yan Cheng5, Kang-Ping Xu6, Fei Li7.   

Abstract

Nintedanib is a promising tyrosine kinase inhibitor for clinically treating idiopathic pulmonary fibrosis (IPF). Some clinical cases reported that nintedanib treatment can cause hepatotoxicity and myocardial toxicity. U. S. FDA warns the potential drug-drug interaction when it is co-administrated with other drugs. In order to understand the potential toxicity of nintedanib and avoid drug-drug interaction, the metabolism of nintedanib was systematically investigated in human liver microsomes and mice using metabolomics approach, and the toxicity of metabolites was predicted by ADMET lab. Nineteen metabolites were detected in vivo and in vitro metabolism, and 8 of them were undescribed. Calculated partition coefficients (Clog P) were used to distinguish the isomers of nintedanib metabolites in this study. The major metabolic pathways of nintedanib majorly included hydroxylation, demethylation, glucuronidation, and acetylation reactions. The ADMET prediction indicated that nintedanib was a substrate of the cytochrome P450 3A4 (CYP3A4) and P-glycoprotein (P-gp). And nintedanib and most of its metabolites might possess potential hepatotoxicity and cardiotoxicity. This study provided a global view of nintedanib metabolism, which could be used to understand the mechanism of adverse effects related to nintedanib and its potential drug-drug interaction.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ADMET prediction; Metabolism; Metabolomics; Nintedanib; UPLC-ESI-QTOF-MS

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Year:  2019        PMID: 31887668     DOI: 10.1016/j.jpba.2019.113045

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  3 in total

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  3 in total

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