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Xenobiotica; the fate of foreign compounds in biological systems2020; 50(10); 1220-1227; doi: 10.1080/00498254.2020.1764131

Prediction of pharmacokinetic clearance and potential Drug-Drug interactions for omeprazole in the horse using in vitro systems.

Abstract: Horses are exposed to various kinds of medication, however, there are limited determinations of plasma clearance (CL) for the drugs used due to the high cost of equine studies.Many of the CL values generated come from the equine sports industry for determining drug plasma screening limits in the control of medications at the time of competition.The kinetics of omeprazole metabolism were investigated in freshly isolated and cryopreserved equine hepatocytes and hepatic microsomes ( = 3 horses).The V, K and intrinsic clearance (CL) of omeprazole were determined via the substrate depletion method as well as K values for the formation of three metabolites.The CL values were extrapolated to hepatic plasma clearance (CL) using the well stirred and parallel tube models.Cl for omeprazole was successfully predicted using freshly isolated or cryopreserved equine hepatocytes, while microsomes under-predicted.Equine microsomes were used to perform a drug-drug interaction (DDI) study between omeprazole and chloramphenicol. The average inhibitor constant K, assuming competitive inhibition, was 15.4 ± 5 µM.To the authors' knowledge, this is the first report showing the successful extrapolation of drug CL in the horse using equine hepatocytes and the prediction of a DDI using microsomes.
Publication Date: 2020-05-20 PubMed ID: 32369392DOI: 10.1080/00498254.2020.1764131Google Scholar: Lookup
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  • Journal Article

Summary

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This study investigates the ways that the drug omeprazole is metabolized in horses and how it may interact with another drug, chloramphenicol. Data indicates that analysis of omeprazole’s clearance using hepatocytes can predict potential drug-drug interactions.

Investigation on Omeprazole Metabolism

The research revolves around the study of omeprazole, a commonly used drug, its pharmacokinetics attributes in horses, and its possible interaction with another medication named chloramphenicol. The study makes use of:

  • Isolated and preserved equine hepatocytes and hepatic microsomes, acquired from three horses.
  • The “substrate depletion method” to ascertain the kinetics of omeprazole metabolism, such detecting values for V (Flow Rate), K (Elimination Rate Constant), and the Intrinsic Clearance (CL) of the drug alongside the measurement of K values for the formation of three metabolites.

Extrapolation to Hepatic Plasma Clearance

Once the metabolic analysis was complete, the study then extrapolated the obtained clearance (CL) figures to hepatic plasma clearance (also known as CL) using two models:

  • Well-Stirred Model
  • Parallel Tube Model

The research discovered that the accurate prediction of the clearance for omeprazole was possible through the use of fresh or preserved equine hepatocytes. However, hepatic microsomes provided a lower prediction.

Drug-Drug Interaction Study

In investigating the potential for drug-drug interaction (DDI) between omeprazole and chloramphenicol, the research used equine microsomes. Chloramphenicol served as an inhibitor in this study. The researchers arrived at an average inhibitor constant (K), assuming competitive inhibition, of 15.4 ± 5 µM.

Significance of the Research

This study marks the first successful report of drug clearance extrapolation in a horse using equine hepatocytes. More importantly, it also showcased the potential to predict Drug-Drug Interactions using microsomes. The results can inform further research and medical practices about omeprazole administration to horses and the possible implications it may have when co-administered along with other medications such as chloramphenicol.

Cite This Article

APA
Shibany KA, Pratt SL, Aldurdunji M, Totemeyer S, Paine SW. (2020). Prediction of pharmacokinetic clearance and potential Drug-Drug interactions for omeprazole in the horse using in vitro systems. Xenobiotica, 50(10), 1220-1227. https://doi.org/10.1080/00498254.2020.1764131

Publication

ISSN: 1366-5928
NlmUniqueID: 1306665
Country: England
Language: English
Volume: 50
Issue: 10
Pages: 1220-1227

Researcher Affiliations

Shibany, Khaled A
  • School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Loughborough, United Kingdom of Great Britain and Northern Ireland.
Pratt, Stefanie L
  • School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Loughborough, United Kingdom of Great Britain and Northern Ireland.
Aldurdunji, Mohammed
  • School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Loughborough, United Kingdom of Great Britain and Northern Ireland.
Totemeyer, Sabine
  • School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Loughborough, United Kingdom of Great Britain and Northern Ireland.
Paine, Stuart W
  • School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Loughborough, United Kingdom of Great Britain and Northern Ireland.

MeSH Terms

  • Animals
  • Cryopreservation
  • Drug Interactions
  • Hepatocytes
  • Horses / metabolism
  • Liver / metabolism
  • Microsomes, Liver / metabolism
  • Omeprazole / metabolism
  • Omeprazole / pharmacology

Citations

This article has been cited 2 times.
  1. Krishnan P, Smith AK, Ropella GEP, Dutta L, Kennedy RC, Hunt CA. Utilizing virtual experiments to increase understanding of discrepancies involving in vitro-to-in vivo predictions of hepatic clearance.. PLoS One 2022;17(7):e0269775.
    doi: 10.1371/journal.pone.0269775pubmed: 35867653google scholar: lookup
  2. Chapuis RJJ, Smith JS, French HM, Toka FN, Peterson EW, Little EL. Nonlinear Mixed-Effect Pharmacokinetic Modeling and Distribution of Doxycycline in Healthy Female Donkeys after Multiple Intragastric Dosing-Preliminary Investigation.. Animals (Basel) 2021 Jul 9;11(7).
    doi: 10.3390/ani11072047pubmed: 34359175google scholar: lookup