Literature DB >> 31778578

In vitro and in vivo methods to assess pharmacokinetic drug- drug interactions in drug discovery and development.

Chuang Lu1, Li Di2.   

Abstract

Drug-drug interactions (DDIs) caused by the co-administration of multiple drugs are major safety concerns in the clinic. Several drugs have been withdrawn from the market due to perpetrator or victim DDIs. Strategies have been developed to assess DDI risks early in drug discovery to reduce DDI liabilities. High-to-medium throughput assays are available to identify undesirable scaffolds and to guide structural modifications to minimize DDIs. Definitive methods are used at later stages of drug discovery and development to provide a more accurate measurement of DDI parameters and to enable clinical translations. Physiologically based pharmacokinetic modeling and simulations are powerful tools to accurately predict DDIs and to assess risks in the clinic. Although significant advances have been made over the years, many challenges remain for clinical DDI translations. This includes DDIs involving non-cytochrome P450 enzymes, transporters, enzyme-transporter interplay, indirect effects from biologics, and pharmacodynamic based DDI. This review focuses on methods that are used to assess hepatic DDIs caused by enzyme inhibition and induction.
© 2019 John Wiley & Sons, Ltd.

Keywords:  Drug-drug interaction; cytochrome P450; enzyme activation; fraction metabolized; induction; inhibition; metabolism; reaction phenotyping; time-dependent inhibition; transporters

Mesh:

Year:  2020        PMID: 31778578     DOI: 10.1002/bdd.2212

Source DB:  PubMed          Journal:  Biopharm Drug Dispos        ISSN: 0142-2782            Impact factor:   1.627


  7 in total

1.  Prediction of Cyclosporin-Mediated Drug Interaction Using Physiologically Based Pharmacokinetic Model Characterizing Interplay of Drug Transporters and Enzymes.

Authors:  Yiting Yang; Ping Li; Zexin Zhang; Zhongjian Wang; Li Liu; Xiaodong Liu
Journal:  Int J Mol Sci       Date:  2020-09-24       Impact factor: 5.923

2.  Immunization and Drug Metabolizing Enzymes: Focus on Hepatic Cytochrome P450 3A.

Authors:  Kristina Jonsson-Schmunk; Romi Ghose; Maria A Croyle
Journal:  Expert Rev Vaccines       Date:  2021-03-18       Impact factor: 5.217

3.  Advancement in predicting interactions between drugs used to treat psoriasis and its comorbidities by integrating molecular and clinical resources.

Authors:  Matthew T Patrick; Redina Bardhi; Kalpana Raja; Kevin He; Lam C Tsoi
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

4.  Novel Bruton's Tyrosine Kinase inhibitor remibrutinib: Drug-drug interaction potential as a victim of CYP3A4 inhibitors based on clinical data and PBPK modeling.

Authors:  Felix Huth; Hilmar Schiller; Yi Jin; Birk Poller; Carole Schuhler; Wendy Weis; Ralph Woessner; Anton Drollmann; Peter End
Journal:  Clin Transl Sci       Date:  2021-08-25       Impact factor: 4.689

5.  Prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information.

Authors:  Suein Choi; Dong-Seok Yim; Soo Hyeon Bae
Journal:  Transl Clin Pharmacol       Date:  2022-03-21

Review 6.  Computer-Aided (In Silico) Modeling of Cytochrome P450-Mediated Food-Drug Interactions (FDI).

Authors:  Yelena Guttman; Zohar Kerem
Journal:  Int J Mol Sci       Date:  2022-07-31       Impact factor: 6.208

Review 7.  Imbalance of Drug Transporter-CYP450s Interplay by Diabetes and Its Clinical Significance.

Authors:  Yiting Yang; Xiaodong Liu
Journal:  Pharmaceutics       Date:  2020-04-11       Impact factor: 6.321

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.