Literature DB >> 17318442

A pharmacokinetic/pharmacodynamic approach to predict total prednisolone concentrations in human plasma.

J Xu1, J Winkler, H Derendorf.   

Abstract

Prednisolone and prednisone are two widely used corticosteroids for various inflammatory and immune diseases. Prednisolone is the active form of prednisone in vivo. Total prednisolone in plasma exhibits nonlinear pharmacokinetics mainly due to its nonlinear protein binding. Other factors such as reversible metabolism (or interconversion between prednisolone and prednisone), competitive protein binding from endogenous cortisol, cortisol circadian rhythm, and prednisolone mediated cortisol suppression complicate prednisolone pharmacokinetics. This study was aimed to develop a new approach to describe the nonlinear pharmacokinetics of total prednisolone and predict total prednisolone concentrations in plasma. Based on literature datasets, a linear two-compartment pharmacokinetic model was developed to adequately describe the reversible metabolism between free prednisone and prednisolone. Cortisol and prednisolone protein binding were described via the sum of a Langmuir and linear type binding. The endogenous cortisol circadian rhythm and cortisol suppression during prednisone or prednisolone exposure were described with a previously reported linear release rate pharmacokinetic/pharmacodynamic (PK/PD) model. By combining the pharmacokinetic models for free prednisone and prednisolone, the linear release rate model for cortisol suppression, and competitive protein binding between cortisol and prednisolone, we were able to predict total prednisolone concentrations in plasma. The predicted total prednisolone concentrations in plasma were in good agreement with the literature reported data. Thus, this PK/PD approach shows that the combination of nonlinear protein binding, cortisol circadian rhythm, and cortisol suppression could account for the nonlinearity of total prednisolone. In addition, it also allows a valid prediction of total prednisolone in plasma after either prednisone or prednisolone administration.

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Year:  2007        PMID: 17318442     DOI: 10.1007/s10928-007-9050-8

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


  26 in total

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Journal:  Ther Drug Monit       Date:  1980       Impact factor: 3.681

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Journal:  J Pharmacokinet Biopharm       Date:  1980-02

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  12 in total

Review 1.  Nonlinear Protein Binding: Not What You Think.

Authors:  Amelia N Deitchman; Ravi Shankar Prasad Singh; Hartmut Derendorf
Journal:  J Pharm Sci       Date:  2018-04-04       Impact factor: 3.534

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3.  Corticosteroid use in neuro-oncology: an update.

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Journal:  Neurooncol Pract       Date:  2014-10-09

4.  Modeling the influence of chronopharmacological administration of synthetic glucocorticoids on the hypothalamic-pituitary-adrenal axis.

Authors:  Rohit T Rao; Megerle L Scherholz; Ioannis P Androulakis
Journal:  Chronobiol Int       Date:  2018-07-30       Impact factor: 2.877

Review 5.  Clinical pharmacokinetics and pharmacodynamics of prednisolone and prednisone in solid organ transplantation.

Authors:  Troels K Bergmann; Katherine A Barraclough; Katie J Lee; Christine E Staatz
Journal:  Clin Pharmacokinet       Date:  2012-11       Impact factor: 6.447

Review 6.  Chronopharmacology of glucocorticoids.

Authors:  Megerle L Scherholz; Naomi Schlesinger; Ioannis P Androulakis
Journal:  Adv Drug Deliv Rev       Date:  2019-02-21       Impact factor: 15.470

7.  Assessment of the impact of dosing time on the pharmacokinetics/pharmacodynamics of prednisolone.

Authors:  Jian Xu; Julia Winkler; Sreedharan Nair Sabarinath; Hartmut Derendorf
Journal:  AAPS J       Date:  2008-06-25       Impact factor: 4.009

Review 8.  Steroids: pharmacology, complications, and practice delivery issues.

Authors:  William Ericson-Neilsen; Alan David Kaye
Journal:  Ochsner J       Date:  2014

9.  Evaluation of a Sustained-Release Prednisolone Acetate Biodegradable Subconjunctival Implant in a Non-Human Primate Model.

Authors:  Yu-Chi Liu; Anthony Herr Cheun Ng; Xu Wen Ng; Peng Yan; Subbu S Venkatraman; Jodhbir S Mehta; Tina T Wong
Journal:  Transl Vis Sci Technol       Date:  2017-10-05       Impact factor: 3.283

10.  Neutrophils are not less sensitive than other blood leukocytes to the genomic effects of glucocorticoids.

Authors:  Gaelle Hirsch; Anouk Lavoie-Lamoureux; Guy Beauchamp; Jean-Pierre Lavoie
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

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