Di Wu, Jiaying Liu, Erickson M Paragas, Jaydeep Yadav, Theresa Aliwarga, Tycho Heimbach, M Sebastian Escotet-Espinoza
{"title":"在药物开发过程中评估和减轻 pH 值介导的 DDI 风险--制剂方法和临床考虑因素。","authors":"Di Wu, Jiaying Liu, Erickson M Paragas, Jaydeep Yadav, Theresa Aliwarga, Tycho Heimbach, M Sebastian Escotet-Espinoza","doi":"10.1080/03602532.2024.2345632","DOIUrl":null,"url":null,"abstract":"<p><p>pH-mediated drug-drug interactions (DDI) is a prevalent DDI in drug development, especially for weak base compounds with highly pH-dependent solubility. FDA has released a guidance on the evaluation of pH-mediated DDI assessments using <i>in vitro</i> testing and clinical studies. Currently, there is no common practice of ways of testing across the academia and industry. The development of biopredictive method and physiologically-based biopharmaceutics modeling (PBBM) approaches to assess acid-reducing agent (ARA)-DDI have been proven with accurate prediction and could decrease drug development burden, inform clinical design and potentially waive clinical studies. Formulation strategies and careful clinical design could help mitigate the pH-mediated DDI to avoid more clinical studies and label restrictions, ultimately benefiting the patient. In this review paper, a detailed introduction on biorelevant dissolution testing, preclinical and clinical study requirement and PBPK modeling approaches to assess ARA-DDI are described. An improved decision tree for pH-mediated DDI is proposed. Potential mitigations including clinical or formulation strategies are discussed.</p>","PeriodicalId":11307,"journal":{"name":"Drug Metabolism Reviews","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing and mitigating pH-mediated DDI risks in drug development - formulation approaches and clinical considerations.\",\"authors\":\"Di Wu, Jiaying Liu, Erickson M Paragas, Jaydeep Yadav, Theresa Aliwarga, Tycho Heimbach, M Sebastian Escotet-Espinoza\",\"doi\":\"10.1080/03602532.2024.2345632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>pH-mediated drug-drug interactions (DDI) is a prevalent DDI in drug development, especially for weak base compounds with highly pH-dependent solubility. FDA has released a guidance on the evaluation of pH-mediated DDI assessments using <i>in vitro</i> testing and clinical studies. Currently, there is no common practice of ways of testing across the academia and industry. The development of biopredictive method and physiologically-based biopharmaceutics modeling (PBBM) approaches to assess acid-reducing agent (ARA)-DDI have been proven with accurate prediction and could decrease drug development burden, inform clinical design and potentially waive clinical studies. Formulation strategies and careful clinical design could help mitigate the pH-mediated DDI to avoid more clinical studies and label restrictions, ultimately benefiting the patient. In this review paper, a detailed introduction on biorelevant dissolution testing, preclinical and clinical study requirement and PBPK modeling approaches to assess ARA-DDI are described. An improved decision tree for pH-mediated DDI is proposed. Potential mitigations including clinical or formulation strategies are discussed.</p>\",\"PeriodicalId\":11307,\"journal\":{\"name\":\"Drug Metabolism Reviews\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drug Metabolism Reviews\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/03602532.2024.2345632\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Metabolism Reviews","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/03602532.2024.2345632","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Assessing and mitigating pH-mediated DDI risks in drug development - formulation approaches and clinical considerations.
pH-mediated drug-drug interactions (DDI) is a prevalent DDI in drug development, especially for weak base compounds with highly pH-dependent solubility. FDA has released a guidance on the evaluation of pH-mediated DDI assessments using in vitro testing and clinical studies. Currently, there is no common practice of ways of testing across the academia and industry. The development of biopredictive method and physiologically-based biopharmaceutics modeling (PBBM) approaches to assess acid-reducing agent (ARA)-DDI have been proven with accurate prediction and could decrease drug development burden, inform clinical design and potentially waive clinical studies. Formulation strategies and careful clinical design could help mitigate the pH-mediated DDI to avoid more clinical studies and label restrictions, ultimately benefiting the patient. In this review paper, a detailed introduction on biorelevant dissolution testing, preclinical and clinical study requirement and PBPK modeling approaches to assess ARA-DDI are described. An improved decision tree for pH-mediated DDI is proposed. Potential mitigations including clinical or formulation strategies are discussed.
期刊介绍:
Drug Metabolism Reviews consistently provides critically needed reviews of an impressive array of drug metabolism research-covering established, new, and potential drugs; environmentally toxic chemicals; absorption; metabolism and excretion; and enzymology of all living species. Additionally, the journal offers new hypotheses of interest to diverse groups of medical professionals including pharmacologists, toxicologists, chemists, microbiologists, pharmacokineticists, immunologists, mass spectroscopists, as well as enzymologists working in xenobiotic biotransformation.