Literature DB >> 22201585

Pharmacokinetics/pharmacodynamics model-supported early drug development.

Bin Chen1, Jennifer Q Dong, Wei-Jian Pan, Ana Ruiz.   

Abstract

Pharmacokinetic/pharmacodynamic (PK/PD) modeling & simulation (M&S) provides quantitative assessment of dose/exposure-response relationships with extensive applications at the late stage drug development as well as during regulatory decision making. However, at preclinical and early phase clinical drug development, the importance of PK/PD M&S has not been as widely recognized. We reviewed selected PK/PD M&S literatures in order to convey importance of M&S in these early development phases. We focused on the application of M&S to select and optimize lead candidates, the use of preclinical PK/PD data to project the range of clinical doses, and the development of comprehensive dose/exposure-response models that can be used to forecast the probability of achieving a target response based on Phase 1 safety, PK and biomarker information. We also reviewed several other M&S approaches that are often used in early drug development such as physiologically-based pharmacokinetic (PBPK) modeling, meta-analysis, PK-pharmacogenomics modeling, and etc. Our aims were to provide expert opinions on the practical utility of PK/PD model-based approaches that have positive impact on early decision-making with the goal of improving the success rate of early to late stage drug development.

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Year:  2012        PMID: 22201585     DOI: 10.2174/138920112800624436

Source DB:  PubMed          Journal:  Curr Pharm Biotechnol        ISSN: 1389-2010            Impact factor:   2.837


  6 in total

1.  Utility of a Bayesian Mathematical Model to Predict the Impact of Immunogenicity on Pharmacokinetics of Therapeutic Proteins.

Authors:  Steven Kathman; Theingi M Thway; Lei Zhou; Stephanie Lee; Steven Yu; Mark Ma; Naren Chirmule; Vibha Jawa
Journal:  AAPS J       Date:  2016-01-19       Impact factor: 4.009

2.  Using mathematical modeling to estimate time-independent cancer chemotherapy efficacy parameters.

Authors:  Christine Pho; Madison Frieler; Giri R Akkaraju; Anton V Naumov; Hana M Dobrovolny
Journal:  In Silico Pharmacol       Date:  2021-12-05

Review 3.  Antiretroviral pharmacology in mucosal tissues.

Authors:  Corbin G Thompson; Myron S Cohen; Angela D M Kashuba
Journal:  J Acquir Immune Defic Syndr       Date:  2013-07       Impact factor: 3.731

4.  Prediction of clinical pharmacokinetics of AMG 181, a human anti-α 4 β 7 monoclonal antibody for treating inflammatory bowel diseases.

Authors:  Hong Li; Kathleen Köck; John A Wisler; William A Rees; Peter J Prince; Kai O Reynhardt; Hailing Hsu; Zhigang Yu; Dominic C Borie; David H Salinger; Wei-Jian Pan
Journal:  Pharmacol Res Perspect       Date:  2014-12-09

5.  Applications of Quantitative Systems Pharmacology in Model-Informed Drug Discovery: Perspective on Impact and Opportunities.

Authors:  Erica L Bradshaw; Mary E Spilker; Richard Zang; Loveleena Bansal; Handan He; Rhys D O Jones; Kha Le; Mark Penney; Edgar Schuck; Brian Topp; Alice Tsai; Christine Xu; Marjoleen J M A Nijsen; Jason R Chan
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-10-25

6.  Minocycline as a re-purposed anti-Wolbachia macrofilaricide: superiority compared with doxycycline regimens in a murine infection model of human lymphatic filariasis.

Authors:  Raman Sharma; Ghaith Al Jayoussi; Hayley E Tyrer; Joanne Gamble; Laura Hayward; Ana F Guimaraes; Jill Davies; David Waterhouse; Darren A N Cook; Laura J Myhill; Rachel H Clare; Andrew Cassidy; Andrew Steven; Kelly L Johnston; Louise Ford; Joseph D Turner; Stephen A Ward; Mark J Taylor
Journal:  Sci Rep       Date:  2016-03-21       Impact factor: 4.379

  6 in total

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