Abstract: Dexamethasone (DEX) is widely used in equine practice for its potent anti-inflammatory effects and diverse studies have examined its pharmacology in horses. We integrated all available pharmacokinetic (PK) and pharmacodynamic (PD) data from 12 studies to quantify DEX disposition and endocrine effects in horses. Methods: DEX concentrations in blood, urine and synovial fluid, plus cortisol (CTS) and glucose (GLU) in plasma, following various administration routes (intravenous (IV), intramuscular (IM), intra-articular, oral) were available from original studies or digitized from literature. A minimal physiologically-based PK model and linked indirect response PD models were applied. Results: The mean clearance of DEX was 344 mL/h/kg via hepatic metabolism (98%) and renal excretion (2%). Due to nonlinear tissue binding, DEX generally exhibited a prolonged terminal phase in plasma, maintaining concentrations above a designated plasma threshold of 5 pg/mL for 67 h following 0.05 mg/kg IV dose. Dosing input parameters of DEX varied markedly across dosing routes and prodrug formulations (alcohol, isonicotinate, phosphate), with bioavailability ranging 37 ~ 100%. Oral and pro-drug doses produced rapid absorption, except for IM DEX-isonicotinate that exhibited slow (flip-flop) availability. Adrenal suppression with an IC of 0.038 ng/mL and plasma GLU increases with an EC of 0.79 ng/mL were observed that commonly persisted for 2 ~ 4 days after single dose. Conclusions: This meta-analysis utilized a mechanistic and physiologically-based modeling framework to provide global perspectives that may promote the rational use of DEX in equine medicine and support evidence-based regulatory decisions.
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Overview
This study combined data from multiple sources to analyze how dexamethasone (DEX), a potent anti-inflammatory drug, is processed in horses and how it affects their endocrine system.
The goal was to model the drug’s behavior in the body (pharmacokinetics) and its biological effects (pharmacodynamics) to better guide usage in veterinary practice.
Study Background and Purpose
Dexamethasone is commonly used in horses to reduce inflammation, but there is variability in the drug’s behavior depending on the administration route and formulation.
Past studies have investigated DEX pharmacology separately; this work integrated data from 12 studies to create a comprehensive and mechanistic understanding.
The study focused on blood, urine, and synovial fluid concentrations of DEX, and also measured related endocrine markers like cortisol and glucose in plasma.
Data Collection and Methods
Data was gathered from various administration routes: intravenous (IV), intramuscular (IM), intra-articular (joint injection), and oral.
Measured parameters included DEX concentrations and hormone markers such as cortisol (CTS) and glucose (GLU) after dosing.
A physiologically-based pharmacokinetic (PBPK) model was used, which incorporates biological processes and organ functions to describe drug absorption, distribution, metabolism, and excretion.
In addition, indirect response pharmacodynamic (PD) models linked drug concentration to biological effects like adrenal suppression and changes in plasma glucose.
Key Pharmacokinetic Findings
The average clearance (removal rate) of DEX from horse bodies was 344 mL/h/kg, primarily through hepatic metabolism (98%) and minimally via renal excretion (2%).
DEX displayed nonlinear tissue binding, meaning the drug’s interaction with body tissues changes with concentration, leading to a prolonged terminal elimination phase in plasma.
After a 0.05 mg/kg IV dose, plasma DEX levels remained above 5 pg/mL for about 67 hours, indicating a long-lasting presence in the bloodstream.
The bioavailability (the fraction of drug reaching systemic circulation) varied widely (37% to 100%) depending on administration routes and prodrug formulations (such as alcohol, isonicotinate, phosphate derivatives).
Most oral and prodrug forms showed rapid absorption; however, IM DEX-isonicotinate exhibited slow (flip-flop) kinetics where absorption was the rate-limiting step, leading to delayed availability.
Pharmacodynamic Effects
Adrenal suppression was observed, quantified by an inhibitory concentration (IC) of 0.038 ng/mL, indicating the concentration of DEX causing suppression of cortisol production.
Plasma glucose levels increased as a response to DEX, with an effective concentration (EC) of 0.79 ng/mL, suggesting metabolic effects on glucose regulation.
These endocrine effects typically persisted for 2 to 4 days following a single dose, reflecting the prolonged duration of drug action.
Conclusions and Implications
The integrated meta-analysis provided a global, mechanistic framework to understand DEX pharmacokinetics and pharmacodynamics in horses.
The PBPK and PD models allow prediction of drug behavior and effects across different dosing strategies and formulations.
This approach supports more rational, evidence-based use of dexamethasone in equine medicine by helping veterinarians tailor dosing.
Results can also inform regulatory decisions regarding dosing limits and withdrawal times to ensure safety and efficacy.
Cite This Article
APA
Yu R, Toutain PL, Ekstrand C, Jusko WJ.
(2026).
Meta-Analysis and Physiologically-Based Modeling of the Pharmacokinetics and Pharmacodynamics of Dexamethasone in Horses.
Pharm Res.
https://doi.org/10.1007/s11095-026-04120-5
Division of Pharmacokinetics, Pharmacodynamics, and Systems Pharmacology, Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY, USA, 404 Pharmacy Building, 14214-8033.
Toutain, Pierre-Louis
Department of Comparative Biomedical Sciences, The Royal Veterinary College, University of London, London, UK.
Ekstrand, Carl
Department of Animal Biosciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Jusko, William J
Division of Pharmacokinetics, Pharmacodynamics, and Systems Pharmacology, Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY, USA, 404 Pharmacy Building, 14214-8033. wjjusko@buffalo.edu.
Grant Funding
R35-GM131800 / NIGMS NIH HHS
82204508 / National Natural Science Foundation of China
Conflict of Interest Statement
Declarations. Ethics Statement: The authors have nothing to declare. Conflict of interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Grady JA, Davis EG, KuKanich B, Sherck A. Pharmacokinetic and pharmacodynamic modeling of oral and IV dexamethasone administered to healthy horses.. J Vet Intern Med 2010;21(3):580–1.
Kemppainen RJ, Sartin JL, Peterson ME. Effects of single intravenously administered doses of dexamethasone on response to the adrenocorticotropic hormone stimulation test in dogs.. Am J Vet Res 1989;50(11):1914–7.
Lypka A, Szczudlik A. Dexamethasone suppresses cortisol but not ACTH and beta-endorphin plasma concentration in healthy man.. Horm Metab Res 1985;17(10):547.
Yu R, Jusko WJ. Meta-analysis of the input and disposition of various dosage forms of methylprednisolone in healthy subjects utilizing a physiologically based pharmacokinetic model.. AAPS J 2025;27(1):24.
Ayyar VS, Song D, DuBois DC, Almon RR, Jusko WJ. Modeling corticosteroid pharmacokinetics and pharmacodynamics, part I: determination and prediction of dexamethasone and methylprednisolone tissue binding in the rat.. J Pharmacol Exp Ther 2019;370(2):318–26.
Yu R, Jusko WJ. Physiologically based pharmacokinetic modeling: the reversible metabolism and tissue-specific partitioning of methylprednisolone and methylprednisone in rats.. Drug Metab Dispos 2024;52(7):662–72.
D’Argenio D, Schumitzky A, Wang X. Adapt 5 user’s guide: pharmacokinetics/pharmacodynamic systems analysis software, BMSR.. University of Southern California; 2009.
Krzyzanski W, Milad MA, Jobe AH, Peppard T, Bies RR, Jusko WJ. Population pharmacodynamic modeling of intramuscular and oral dexamethasone and betamethasone effects on six biomarkers with circadian complexities in Indian women. J Pharmacokinet Pharmacodyn 2021;48(3):411–38.
Li X, DuBois DC, Almon RR, Jusko WJ. Physiologically based pharmacokinetic modeling involving nonlinear plasma and tissue binding: application to prednisolone and prednisone in rats. J Pharmacol Exp Ther 2020;375(2):385–96.
Mager DE, Lin SX, Blum RA, Lates CD, Jusko WJ. Dose equivalency evaluation of major corticosteroids: pharmacokinetics and cell trafficking and cortisol dynamics. J Clin Pharmacol 2003;43(11):1216–27.
Ekstrand C, Falkenö U, Kallings P, Tvedten H, Lilliehöök I. Plasma dexamethasone concentration in relation to glucose response in the horse. J Equine Vet Sci 2019;73:75–80.
Song D, Jusko WJ. Across-species meta-analysis of dexamethasone pharmacokinetics utilizing allometric and scaling modeling approaches. Biopharm Drug Dispos 2021;42(5):191–203.
Greco DS, Brown SA, Gauze JJ, Weise DW, Buck JM. Dexamethasone pharmacokinetics in clinically normal dogs during low- and high-dose dexamethasone suppression testing. Am J Vet Res 1993;54(4):580–5.
Trenque T, Lamiable D, Vistelle R, Millart H, Leperre A, Choisy H. Comparative pharmacokinetics of two diastereoisomers dexamethasone and betamethasone in plasma and cerebrospinal fluid in rabbits. Fundam Clin Pharmacol 1994;8(5):430–6.
Earp JC, Pyszczynski NA, Molano DS, Jusko WJ. Pharmacokinetics of dexamethasone in a rat model of rheumatoid arthritis. Biopharm Drug Dispos 2008;29(6):366–72.
Rohdewald P, Mollmann H, Barth J, Rehder J, Derendorf H. Pharmacokinetics of dexamethasone and its phosphate ester. Biopharm Drug Dispos 1987;8(3):205–12.
Hattori K, Kamio M, Nakajima E, Oshima T, Satoh T, Kitagawa H. Characterization of steroid hormone ester hydrolyzing enzymes in liver microsomes. Biochem Pharmacol 1981;30(15):2051–6.
Li B, Sedlacek M, Manoharan I, Boopathy R, Duysen EG, Masson P. Butyrylcholinesterase, paraoxonase, and albumin esterase, but not carboxylesterase, are present in human plasma. Biochem Pharmacol 2005;70(11):1673–84.
Jones RD, Taylor AM, Tong EY, Repa JJ. Carboxylesterases are uniquely expressed among tissues and regulated by nuclear hormone receptors in the mouse. Drug Metab Dispos 2013;41(1):40–9.
Toutain PL, Alvinerie M, Fayolle P, Ruckebusch Y. Bovine plasma and synovial fluid kinetics of methylprednisolone and methylprednisolone acetate after intra-articular administration of methylprednisolone acetate. J Pharmacol Exp Ther 1986;236(3):794–802.
Ding X, Kaminsky LS. Human extrahepatic cytochromes P450: function in xenobiotic metabolism and tissue-selective chemical toxicity in the respiratory and gastrointestinal tracts. Annu Rev Pharmacol Toxicol 2003;43:149–73.
Krzyzanski W, Milad MA, Jobe AH, Peppard T, Bies RR, Jusko WJ. Population pharmacokinetic modeling of intramuscular and oral dexamethasone and betamethasone in Indian women. J Pharmacokinet Pharmacodyn 2021;48(2):261–72.
Martinez MN, Mochel JP, Toutain PL. Evolving value and validity of animal models in veterinary therapeutic research: impact of scientific progress.. Eur J Pharm Sci 2025;210:107111.
Yu R, Jusko WJ. Physiologically-based modeling of methylprednisolone pharmacokinetics across species with extrapolations to humans.. J Pharm Sci 2025;114(5):103719.