Literature DB >> 10214559

Mathematical formalism and characteristics of four basic models of indirect pharmacodynamic responses for drug infusions.

W Krzyzanski1, W J Jusko.   

Abstract

Indirect response models require differential equations to describe the nonlinear inhibition or stimulation of the production or loss (kout) of the response variable. Partially integrated solutions for these models developed previously for i.v. bolus or biphasic pharmacokinetics were extended to consider drug infusions for limited or extended durations. Qualitative examination was made of the role of infusion rate and duration, type and rate of drug disposition, Imax or Smax capacity factors, IC50 or SC50 sensitivity factors, and Kout values. Properties of the response curves characterized include curve shapes, maximum or minimum response, onset rate, steady-state, and return to baseline. Some comparisons were made with behavior of i.v. bolus doses. These relationships provide both a formal and practical basis for better understanding of the time-course of basic indirect response models.

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Year:  1998        PMID: 10214559     DOI: 10.1023/a:1021060000789

Source DB:  PubMed          Journal:  J Pharmacokinet Biopharm        ISSN: 0090-466X


  5 in total

1.  Mathematical formalism for the properties of four basic models of indirect pharmacodynamic responses.

Authors:  W Krzyzanski; W J Jusko
Journal:  J Pharmacokinet Biopharm       Date:  1997-02

2.  Characterization of four basic models of indirect pharmacodynamic responses.

Authors:  A Sharma; W J Jusko
Journal:  J Pharmacokinet Biopharm       Date:  1996-12

3.  Comparison of four basic models of indirect pharmacodynamic responses.

Authors:  N L Dayneka; V Garg; W J Jusko
Journal:  J Pharmacokinet Biopharm       Date:  1993-08

4.  Physiologic indirect response models characterize diverse types of pharmacodynamic effects.

Authors:  W J Jusko; H C Ko
Journal:  Clin Pharmacol Ther       Date:  1994-10       Impact factor: 6.875

5.  Simultaneous modeling of pharmacokinetics and pharmacodynamics: application to d-tubocurarine.

Authors:  L B Sheiner; D R Stanski; S Vozeh; R D Miller; J Ham
Journal:  Clin Pharmacol Ther       Date:  1979-03       Impact factor: 6.875

  5 in total
  14 in total

1.  Indirect pharmacodynamic models for responses with multicompartmental distribution or polyexponential disposition.

Authors:  W Krzyzanski; W J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-02       Impact factor: 2.745

2.  Characterization of pharmacodynamic recession slopes for direct and indirect response models.

Authors:  W Krzyzanski; W J Jusko
Journal:  J Pharmacokinet Biopharm       Date:  1998-08

3.  In silico prediction of optimal in vivo delivery properties using convolution-based model and clinical trial simulation.

Authors:  Roberto Gomeni; Carla Dangeli; Alan Bye
Journal:  Pharm Res       Date:  2002-01       Impact factor: 4.200

4.  A dynamical systems analysis of the indirect response model with special emphasis on time to peak response.

Authors:  Lambertus A Peletier; Johan Gabrielsson; Jacintha den Haag
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-08       Impact factor: 2.745

5.  Model-based drug development: the road to quantitative pharmacology.

Authors:  Liping Zhang; Vikram Sinha; S Thomas Forgue; Sophie Callies; Lan Ni; Richard Peck; Sandra R B Allerheiligen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-06-13       Impact factor: 2.745

6.  Mathematical assessment of properties of precursor-dependent indirect pharmacodynamic response models.

Authors:  Anasuya Hazra; Wojciech Krzyzanski; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-10-12       Impact factor: 2.745

7.  Population pharmacokinetics and pharmacodynamics of the anti-CD11a antibody hu1124 in human subjects with psoriasis.

Authors:  R J Bauer; R L Dedrick; M L White; M J Murray; M R Garovoy
Journal:  J Pharmacokinet Biopharm       Date:  1999-08

8.  Quantitative Systems Pharmacology: A Framework for Context.

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

Review 9.  Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus.

Authors:  Cornelia B Landersdorfer; William J Jusko
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

10.  Comparative pharmacokinetics and pharmacodynamics of urocortins 1, 2 and 3 in healthy sheep.

Authors:  K Patel; M T Rademaker; C M J Kirkpatrick; C J Charles; S Fisher; T G Yandle; A M Richards
Journal:  Br J Pharmacol       Date:  2012-07       Impact factor: 8.739

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