Literature DB >> 32601175

Physiologically Based Pharmacokinetics of Dexamethasone in Rats.

Dawei Song1, Le Sun1, Debra C DuBois1, Richard R Almon1, Shengnan Meng1, William J Jusko2.   

Abstract

Blood and multitissue concentration-time profiles for dexamethasone (DEX), a synthetic corticosteroid, were measured in male rats after subcutaneous bolus and infusion dosing. A physiologically based pharmacokinetics (PBPK) model was applied for 12 measured tissues. Tissue partition coefficients (K p ) and metabolic clearance were assessed from infusion studies. Blood cell to plasma partitioning (0.664) and plasma free fraction (0.175) for DEX were found to be moderate. DEX was extensively partitioned into liver (K p = 6.76), whereas the calculated K p values of most tissues ranged between 0.1 and 1.5. Despite the moderate lipophilicity of DEX (log P = 1.8), adipose exhibited very limited distribution (K p = 0.17). Presumably due to P-glycoprotein-mediated efflux, DEX concentrations were very low in brain compared with its expected high permeability. Infusion studies yielded K p values from male and female rats at steady state that were similar. In silico K p values calculated for different tissues by using GastroPlus software were similar to in vivo values except for adipose and liver. Glucocorticoid receptors are found in diverse tissues, and these PBPK modeling results may help provide exposure profiles driving pharmacodynamic effects of DEX. SIGNIFICANCE STATEMENT: Our physiologically based pharmacokinetics model describes the experimentally determined tissue and plasma dexamethasone (DEX) pharmacokinetics (PK) profiles in rats reasonably well. This model can serve for further investigation of DEX tissue distribution in rats as the PK driving force for PD effects in different tissues. No major sex differences were found for DEX tissue distribution. Knowledge gained in this study may be translatable to higher-order species including humans.
Copyright © 2020 by The American Society for Pharmacology and Experimental Therapeutics.

Entities:  

Year:  2020        PMID: 32601175      PMCID: PMC7448200          DOI: 10.1124/dmd.120.091017

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  38 in total

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Authors:  Leonid M Berezhkovskiy
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2.  Modeling Corticosteroid Pharmacokinetics and Pharmacodynamics, Part I: Determination and Prediction of Dexamethasone and Methylprednisolone Tissue Binding in the Rat.

Authors:  Vivaswath S Ayyar; Dawei Song; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2019-06-13       Impact factor: 4.030

3.  Modeling Corticosteroid Pharmacokinetics and Pharmacodynamics, Part II: Sex Differences in Methylprednisolone Pharmacokinetics and Corticosterone Suppression.

Authors:  Vivaswath S Ayyar; Debra C DuBois; Toshimichi Nakamura; Richard R Almon; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2019-06-13       Impact factor: 4.030

Review 4.  Cellular processing of the glucocorticoid receptor gene and protein: new mechanisms for generating tissue-specific actions of glucocorticoids.

Authors:  Robert H Oakley; John A Cidlowski
Journal:  J Biol Chem       Date:  2010-12-13       Impact factor: 5.157

5.  Modeling Combined Immunosuppressive and Anti-inflammatory Effects of Dexamethasone and Naproxen in Rats Predicts the Steroid-Sparing Potential of Naproxen.

Authors:  Xiaonan Li; Debra C DuBois; Dawei Song; Richard R Almon; William J Jusko; Xijing Chen
Journal:  Drug Metab Dispos       Date:  2017-04-17       Impact factor: 3.922

6.  Tissue distribution of prednisolone in the rabbit.

Authors:  N Khalafallah; W J Jusko
Journal:  J Pharmacol Exp Ther       Date:  1984-06       Impact factor: 4.030

7.  Gender-based effects on methylprednisolone pharmacokinetics and pharmacodynamics.

Authors:  K H Lew; E A Ludwig; M A Milad; K Donovan; E Middleton; J J Ferry; W J Jusko
Journal:  Clin Pharmacol Ther       Date:  1993-10       Impact factor: 6.875

8.  Gender differences in the blood volume of conscious Sprague-Dawley rats.

Authors:  Rick J Probst; Jenny M Lim; Danielle N Bird; Ginger L Pole; Aileen K Sato; John R Claybaugh
Journal:  J Am Assoc Lab Anim Sci       Date:  2006-03       Impact factor: 1.232

9.  Pharmacokinetics of dexamethasone in a rat model of rheumatoid arthritis.

Authors:  Justin C Earp; Nancy A Pyszczynski; Diana S Molano; William J Jusko
Journal:  Biopharm Drug Dispos       Date:  2008-09       Impact factor: 1.627

Review 10.  Nongenomic actions of steroid hormones.

Authors:  Ralf Lösel; Martin Wehling
Journal:  Nat Rev Mol Cell Biol       Date:  2003-01       Impact factor: 94.444

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  5 in total

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2.  Sex-based disparities in outcome in pediatric acute lymphoblastic leukemia: a Children's Oncology Group report.

Authors:  Sumit Gupta; David T Teachey; Zhiguo Chen; Karen R Rabin; Kimberly P Dunsmore; Eric C Larsen; Kelly W Maloney; Leonard A Mattano; Stuart S Winter; Andrew J Carroll; Nyla A Heerema; Michael J Borowitz; Brent L Wood; William L Carroll; Elizabeth A Raetz; Naomi J Winick; Mignon L Loh; Stephen P Hunger; Meenakshi Devidas
Journal:  Cancer       Date:  2022-02-24       Impact factor: 6.860

3.  Consideration of Fractional Distribution Parameter fd in the Chen and Gross Method for Tissue-to-Plasma Partition Coefficients: Comparison of Several Methods.

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4.  Across-species meta-analysis of dexamethasone pharmacokinetics utilizing allometric and scaling modeling approaches.

Authors:  Dawei Song; William J Jusko
Journal:  Biopharm Drug Dispos       Date:  2021-03-17       Impact factor: 1.627

5.  Population pharmacokinetic modeling of intramuscular and oral dexamethasone and betamethasone in Indian women.

Authors:  Wojciech Krzyzanski; Mark A Milad; Alan H Jobe; Thomas Peppard; Robert R Bies; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-01-03       Impact factor: 2.745

  5 in total

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