Literature DB >> 17713971

Integrated pharmacokinetics and pharmacodynamics in drug development.

Jasper Dingemanse1, Silke Appel-Dingemanse.   

Abstract

Drug development is a complex, lengthy and expensive process. Pharmaceutical companies and regulatory authorities have recognised that the drug development process needs optimisation for efficiency in view of the return on investments. Pharmacokinetics and pharmacodynamics are the two main principles determining the relationship between dose and response. This article provides an update on integrated approaches towards drug development by linking pharmacokinetics, pharmacodynamics and disease aspects into mathematical models. Gradually, a transition is taking place from a rather empirical approach towards a modelling- and simulation-based approach to drug development. The main learning phases should be phases 0, I and II, whereas phase III studies should merely have a confirmatory purpose. In model-based drug development, mechanism-based mathematical models, which are iteratively refined along the path of development, incorporate the accumulating knowledge of the investigational drug, the disease and their mutual interference in different subsets of the target population. These models facilitate the design of the next study and improve the probability of achieving the projected efficacy and safety endpoints. In this article, several theoretical and practical aspects of an integrated approach towards drug development are discussed, together with some case studies from different therapeutic areas illustrating the application of pharmacokinetic/pharmacodynamic disease models at different stages of drug development.

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Year:  2007        PMID: 17713971     DOI: 10.2165/00003088-200746090-00001

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  167 in total

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Authors: 
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Authors:  Chukwuemeka S Okereke
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4.  RELATIONSHIP BETWEEN ELIMINATION RATE OF DRUGS AND RATE OF DECLINE OF THEIR PHARMACOLOGIC EFFECTS.

Authors:  G LEVY
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5.  Use of pharmacokinetic-pharmacodynamic target attainment analyses to support phase 2 and 3 dosing strategies for doripenem.

Authors:  Sujata M Bhavnani; Jeffrey P Hammel; Brenda B Cirincione; Matthew A Wikler; Paul G Ambrose
Journal:  Antimicrob Agents Chemother       Date:  2005-09       Impact factor: 5.191

Review 6.  Methodological issues in pharmacokinetic-pharmacodynamic modelling.

Authors:  E Bellissant; V Sébille; G Paintaud
Journal:  Clin Pharmacokinet       Date:  1998-08       Impact factor: 6.447

7.  Models for the pharmacokinetics and pharmacodynamics of insulin in alloxan-induced diabetic dogs.

Authors:  S A Brown; R W Nelson; G D Bottoms
Journal:  J Pharm Sci       Date:  1987-04       Impact factor: 3.534

8.  Levodopa pharmacokinetic-pharmacodynamic modeling and 6-[18F]levodopa positron emission tomography in patients with Parkinson's disease.

Authors:  M Dietz; S Harder; J Graff; G Künig; P Vontobel; K L Leenders; H Baas
Journal:  Clin Pharmacol Ther       Date:  2001-07       Impact factor: 6.875

Review 9.  The use of pharmacokinetic and pharmacodynamic data in the assessment of drug safety in early drug development.

Authors:  D K Walker
Journal:  Br J Clin Pharmacol       Date:  2004-12       Impact factor: 4.335

10.  Modeling and allometric scaling of s(+)-ketoprofen pharmacokinetics and pharmacodynamics: a retrospective analysis.

Authors:  E-I Lepist; W J Jusko
Journal:  J Vet Pharmacol Ther       Date:  2004-08       Impact factor: 1.786

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  14 in total

Review 1.  Prediction of exposure-response relationships to support first-in-human study design.

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Journal:  AAPS J       Date:  2010-10-22       Impact factor: 4.009

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Journal:  Eur J Pharm Sci       Date:  2010-03-30       Impact factor: 4.384

3.  A survey of the way pharmacokinetics are reported in published phase I clinical trials, with an emphasis on oncology.

Authors:  Emmanuelle Comets; Sarah Zohar
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

4.  Refinement of the population pharmacokinetic model for the monoclonal antibody matuzumab: external model evaluation and simulations.

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Review 5.  Challenges in design and characterization of ligand-targeted drug delivery systems.

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Journal:  J Control Release       Date:  2012-06-15       Impact factor: 9.776

6.  Model Informed Pediatric Development Applied to Bilastine: Ontogenic PK Model Development, Dose Selection for First Time in Children and PK Study Design.

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Journal:  Pharm Res       Date:  2017-10-02       Impact factor: 4.200

7.  Assessment of differential pharmacodynamic effects using optical coherence tomography in neovascular age-related macular degeneration.

Authors:  Pearse A Keane; Florian M Heussen; Yanling Ouyang; Nils Mokwa; Alexander C Walsh; Adnan Tufail; Srinivas R Sadda; Praveen J Patel
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-03-09       Impact factor: 4.799

Review 8.  Patient-Specific Organoid and Organ-on-a-Chip: 3D Cell-Culture Meets 3D Printing and Numerical Simulation.

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Review 9.  The Role of PK/PD Analysis in the Development and Evaluation of Antimicrobials.

Authors:  Alicia Rodríguez-Gascón; María Ángeles Solinís; Arantxa Isla
Journal:  Pharmaceutics       Date:  2021-06-03       Impact factor: 6.321

10.  Material basis of Chinese herbal formulas explored by combining pharmacokinetics with network pharmacology.

Authors:  Lixia Pei; Yuanwu Bao; Sheng Liu; Jin Zheng; Xiuping Chen
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

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