Eduardo Costa Pinto, Luana Gonçalves de Souza, Carolina Trajano Velozo, Gil Mendes Viana, Lucio Mendes Cabral, Valeria Pereira de Sousa
{"title":"Macitentan:概述其降解产物,工艺相关杂质和硅毒性","authors":"Eduardo Costa Pinto, Luana Gonçalves de Souza, Carolina Trajano Velozo, Gil Mendes Viana, Lucio Mendes Cabral, Valeria Pereira de Sousa","doi":"10.1016/j.comtox.2022.100255","DOIUrl":null,"url":null,"abstract":"<div><p>Macitentan is a dual endothelin receptor antagonist indicated for the treatment of pulmonary arterial hypertension, a chronic and complex disease. Under different stress conditions, such as changes in pH and temperature, the drug can generate a large number of degradation products, while many process-related impurities can occur during the four main synthetic routes. The assessment of the potential toxicity of these impurities is an essential regulatory requirement for the quality and safety of drugs. The goal of this study was to identify all metabolites and potential impurities for macitentan and evaluate their <em>in silico</em> toxicity. Thirty-five compounds related to macitentan were found reported in the literature, two of which were described simultaneously as metabolites, degradation products, and process-related impurities. In the present study, the main degradation products and the conditions under which they could be formed, and the major impurities according to the synthetic route, are discussed. The types and amounts of process-related impurities were dependent on the synthesis route and process controls, while macitentan was found to be more susceptible to degradation in acidic media resulting in the most different types of degradation products. The structure of each compound was generated and the potential risk for mutagenicity and carcinogenicity were determined using three different <em>in silico</em> platforms, in addition the metabolic substrate/inhibition profile for each compound was assessed. Overall, five compounds were considered critical as they had a possible toxicity risk in terms of mutagenicity, tumorigenicity, irritation, and reproductive effects. These data support the current legislation for raw materials and pharmaceutical products containing macitentan as to prevent any adverse effects from this drug.</p></div>","PeriodicalId":37651,"journal":{"name":"Computational Toxicology","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Macitentan: An overview of its degradation products, process-related impurities, and in silico toxicity.\",\"authors\":\"Eduardo Costa Pinto, Luana Gonçalves de Souza, Carolina Trajano Velozo, Gil Mendes Viana, Lucio Mendes Cabral, Valeria Pereira de Sousa\",\"doi\":\"10.1016/j.comtox.2022.100255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Macitentan is a dual endothelin receptor antagonist indicated for the treatment of pulmonary arterial hypertension, a chronic and complex disease. Under different stress conditions, such as changes in pH and temperature, the drug can generate a large number of degradation products, while many process-related impurities can occur during the four main synthetic routes. The assessment of the potential toxicity of these impurities is an essential regulatory requirement for the quality and safety of drugs. The goal of this study was to identify all metabolites and potential impurities for macitentan and evaluate their <em>in silico</em> toxicity. Thirty-five compounds related to macitentan were found reported in the literature, two of which were described simultaneously as metabolites, degradation products, and process-related impurities. In the present study, the main degradation products and the conditions under which they could be formed, and the major impurities according to the synthetic route, are discussed. The types and amounts of process-related impurities were dependent on the synthesis route and process controls, while macitentan was found to be more susceptible to degradation in acidic media resulting in the most different types of degradation products. The structure of each compound was generated and the potential risk for mutagenicity and carcinogenicity were determined using three different <em>in silico</em> platforms, in addition the metabolic substrate/inhibition profile for each compound was assessed. Overall, five compounds were considered critical as they had a possible toxicity risk in terms of mutagenicity, tumorigenicity, irritation, and reproductive effects. These data support the current legislation for raw materials and pharmaceutical products containing macitentan as to prevent any adverse effects from this drug.</p></div>\",\"PeriodicalId\":37651,\"journal\":{\"name\":\"Computational Toxicology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468111322000433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468111322000433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
Macitentan: An overview of its degradation products, process-related impurities, and in silico toxicity.
Macitentan is a dual endothelin receptor antagonist indicated for the treatment of pulmonary arterial hypertension, a chronic and complex disease. Under different stress conditions, such as changes in pH and temperature, the drug can generate a large number of degradation products, while many process-related impurities can occur during the four main synthetic routes. The assessment of the potential toxicity of these impurities is an essential regulatory requirement for the quality and safety of drugs. The goal of this study was to identify all metabolites and potential impurities for macitentan and evaluate their in silico toxicity. Thirty-five compounds related to macitentan were found reported in the literature, two of which were described simultaneously as metabolites, degradation products, and process-related impurities. In the present study, the main degradation products and the conditions under which they could be formed, and the major impurities according to the synthetic route, are discussed. The types and amounts of process-related impurities were dependent on the synthesis route and process controls, while macitentan was found to be more susceptible to degradation in acidic media resulting in the most different types of degradation products. The structure of each compound was generated and the potential risk for mutagenicity and carcinogenicity were determined using three different in silico platforms, in addition the metabolic substrate/inhibition profile for each compound was assessed. Overall, five compounds were considered critical as they had a possible toxicity risk in terms of mutagenicity, tumorigenicity, irritation, and reproductive effects. These data support the current legislation for raw materials and pharmaceutical products containing macitentan as to prevent any adverse effects from this drug.
期刊介绍:
Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs