Literature DB >> 16404503

Pharmacokinetic-pharmacodynamic modelling: history and perspectives.

Chantal Csajka1, Davide Verotta.   

Abstract

A major goal in clinical pharmacology is the quantitative prediction of drug effects. The field of pharmacokinetic-pharmacodynamic (PK/PD) modelling has made many advances from the basic concept of the dose-response relationship to extended mechanism-based models. The purpose of this article is to review, from a historical perspective, the progression of the modelling of the concentration-response relationship from the first classic models developed in the mid-1960s to some of the more sophisticated current approaches. The emphasis is on general models describing key PD relationships, such as: simple models relating drug dose or concentration in plasma to effect, biophase distribution models and in particular effect compartment models, models for indirect mechanism of action that involve primarily the modulation of endogenous factors, models for cell trafficking and transduction systems. We show the evolution of tolerance and time-variant models, non- and semi-parametric models, and briefly discuss population PK/PD modelling, together with some example of more recent and complex pharmacodynamic models for control system and nonlinear HIV-1 dynamics. We also discuss some future possible directions for PK/PD modelling, report equations for general classes of novel semi-parametric models, as well as describing two new classes, additive or set-point, of regulatory, additive feedback models in their direct and indirect action variants.

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Year:  2006        PMID: 16404503     DOI: 10.1007/s10928-005-9002-0

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  91 in total

1.  RELATIONSHIP BETWEEN ELIMINATION RATE OF DRUGS AND RATE OF DECLINE OF THEIR PHARMACOLOGIC EFFECTS.

Authors:  G LEVY
Journal:  J Pharm Sci       Date:  1964-03       Impact factor: 3.534

2.  Volterra series in pharmacokinetics and pharmacodynamics.

Authors:  Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2003-10       Impact factor: 2.745

3.  Transit compartments versus gamma distribution function to model signal transduction processes in pharmacodynamics.

Authors:  Y N Sun; W J Jusko
Journal:  J Pharm Sci       Date:  1998-06       Impact factor: 3.534

4.  Virus dynamics and drug therapy.

Authors:  S Bonhoeffer; R M May; G M Shaw; M A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  1997-06-24       Impact factor: 11.205

5.  Chronopharmacokinetics of nicotine.

Authors:  J M Gries; N Benowitz; D Verotta
Journal:  Clin Pharmacol Ther       Date:  1996-10       Impact factor: 6.875

6.  Apparent potentiating effect of a second dose of drug.

Authors:  G Levy
Journal:  Nature       Date:  1965-05-01       Impact factor: 49.962

7.  Bayesian individualization of pharmacokinetics: simple implementation and comparison with non-Bayesian methods.

Authors:  L B Sheiner; S L Beal
Journal:  J Pharm Sci       Date:  1982-12       Impact factor: 3.534

8.  Modeling plasma virus concentration during primary HIV infection.

Authors:  M A Stafford; L Corey; Y Cao; E S Daar; D D Ho; A S Perelson
Journal:  J Theor Biol       Date:  2000-04-07       Impact factor: 2.691

9.  A model eliciting transient responses.

Authors:  E B Ekblad; V Licko
Journal:  Am J Physiol       Date:  1984-01

10.  The relationship between endogenous testosterone and gonadotrophin secretion.

Authors:  N A Bridges; P C Hindmarsh; P J Pringle; D R Matthews; C G Brook
Journal:  Clin Endocrinol (Oxf)       Date:  1993-04       Impact factor: 3.478

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  41 in total

1.  Fractional dynamics pharmacokinetics-pharmacodynamic models.

Authors:  Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-05-09       Impact factor: 2.745

2.  Monitoring drug therapy.

Authors:  Thierry Buclin; Verena Gotta; Aline Fuchs; Nicolas Widmer; Jeffrey Aronson
Journal:  Br J Clin Pharmacol       Date:  2012-06       Impact factor: 4.335

Review 3.  Interpreting population pharmacokinetic-pharmacodynamic analyses - a clinical viewpoint.

Authors:  Stephen B Duffull; Daniel F B Wright; Helen R Winter
Journal:  Br J Clin Pharmacol       Date:  2011-06       Impact factor: 4.335

Review 4.  Long-lasting target binding and rebinding as mechanisms to prolong in vivo drug action.

Authors:  Georges Vauquelin; Steven J Charlton
Journal:  Br J Pharmacol       Date:  2010-10       Impact factor: 8.739

5.  Prediction of repeat-dose occupancy from single-dose data: characterisation of the relationship between plasma pharmacokinetics and brain target occupancy.

Authors:  Sergio Abanades; Jasper van der Aart; Julien A R Barletta; Carmine Marzano; Graham E Searle; Cristian A Salinas; Javaad J Ahmad; Richard R Reiley; Sabina Pampols-Maso; Stefano Zamuner; Vincent J Cunningham; Eugenii A Rabiner; Marc A Laruelle; Roger N Gunn
Journal:  J Cereb Blood Flow Metab       Date:  2010-10-13       Impact factor: 6.200

6.  Investigation of a cellular pharmacodynamic model exhibiting sharp response sensitivity and tolerance.

Authors:  Ronald A Siegel
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-12-12       Impact factor: 2.745

Review 7.  A survey of population analysis methods and software for complex pharmacokinetic and pharmacodynamic models with examples.

Authors:  Robert J Bauer; Serge Guzy; Chee Ng
Journal:  AAPS J       Date:  2007-03-02       Impact factor: 4.009

Review 8.  Applications of quantitative pharmacodynamic effect markers in drug target identification and therapy development.

Authors:  Robert M Straubinger; Wojciech Krzyzanski; Crystal M Francoforte; Jun Qu
Journal:  Anticancer Res       Date:  2007 May-Jun       Impact factor: 2.480

Review 9.  Microfluidics for drug discovery and development: from target selection to product lifecycle management.

Authors:  Lifeng Kang; Bong Geun Chung; Robert Langer; Ali Khademhosseini
Journal:  Drug Discov Today       Date:  2007-11-26       Impact factor: 7.851

10.  Quantitative Systems Pharmacology: A Framework for Context.

Authors:  Ioannis P Androulakis
Journal:  Curr Pharmacol Rep       Date:  2016-04-08
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