Literature DB >> 36040645

Pharmacodynamic model of slow reversible binding and its applications in pharmacokinetic/pharmacodynamic modeling: review and tutorial.

Tianjing Ren1, Xu Zhu2, Natalie M Jusko3, Wojciech Krzyzanski1, William J Jusko4.   

Abstract

Therapeutic responses of most drugs are initiated by the rate and degree of binding to their receptors or targets. The law of mass action describes the rate of drug-receptor complex association (kon) and dissociation (koff) where the ratio koff/kon is the equilibrium dissociation constant (Kd). Drugs with slow reversible binding (SRB) often demonstrate delayed onset and prolonged pharmacodynamic effects. This report reviews evidence for drugs with SRB features, describes previous pharmacokinetic/pharmacodynamic (PK/PD) modeling efforts of several such drugs, provides a tutorial on the mathematics and properties of SRB models, demonstrates applications of SRB models to additional compounds, and compares PK/PD fittings of SRB with other mechanistic models. We identified and summarized 52 drugs with in vitro-confirmed SRB from a PubMed literature search. Simulations with a SRB model and observed PK/PD profiles showed delayed and prolonged responses and that increasing doses/kon or decreasing koff led to greater expected maximum effects and a longer duration of effects. Recession slopes for return of responses to baseline after single doses were nearly linear with an inflection point that approaches a limiting value at larger doses. The SRB model newly captured literature data for the antihypertensive effects of candesartan and antiallergic effects of noberastine. Their PD profiles could also be fitted with indirect response and biophase models with minimal differences. The applicability of SRB models is probably commonplace, but underappreciated, owing to the need for in vitro confirmation of binding kinetics and the similarity of PK/PD profiles to models with other mechanistic determinants.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biophase models; Indirect response models; Mathematical modeling; Pharmacodynamics; Receptor binding kinetics; Slow reversible binding

Mesh:

Substances:

Year:  2022        PMID: 36040645      PMCID: PMC9578295          DOI: 10.1007/s10928-022-09822-y

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.410


  110 in total

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5.  Fevipiprant (QAW039), a Slowly Dissociating CRTh2 Antagonist with the Potential for Improved Clinical Efficacy.

Authors:  David A Sykes; Michelle E Bradley; Darren M Riddy; Elizabeth Willard; John Reilly; Asadh Miah; Carsten Bauer; Simon J Watson; David A Sandham; Gerald Dubois; Steven J Charlton
Journal:  Mol Pharmacol       Date:  2016-02-25       Impact factor: 4.436

Review 6.  Clinical pharmacokinetics of candesartan.

Authors:  Christoph H Gleiter; Klaus E Mörike
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

7.  Kinetics of nonpeptide antagonist binding to the human gonadotropin-releasing hormone receptor: Implications for structure-activity relationships and insurmountable antagonism.

Authors:  Susan K Sullivan; Sam R J Hoare; Beth A Fleck; Yun-Fei Zhu; Christopher E Heise; R Scott Struthers; Paul D Crowe
Journal:  Biochem Pharmacol       Date:  2006-08-22       Impact factor: 5.858

8.  Binding of the antagonist [3H]candesartan to angiotensin II AT1 receptor-transfected [correction of tranfected] Chinese hamster ovary cells.

Authors:  F Fierens; P M Vanderheyden; J P De Backer; G Vauquelin
Journal:  Eur J Pharmacol       Date:  1999-02-19       Impact factor: 4.432

Review 9.  Pharmacokinetics of oseltamivir: an oral antiviral for the treatment and prophylaxis of influenza in diverse populations.

Authors:  Brian E Davies
Journal:  J Antimicrob Chemother       Date:  2010-04       Impact factor: 5.790

Review 10.  Clinical Pharmacokinetics and Pharmacodynamics of Saxagliptin, a Dipeptidyl Peptidase-4 Inhibitor.

Authors:  David W Boulton
Journal:  Clin Pharmacokinet       Date:  2017-01       Impact factor: 6.447

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