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Br J Pharmacol. 2018 Jun 2. doi: 10.1111/bph.14385. [Epub ahead of print]

Quantitative systems pharmacology analysis of drug combination and scaling to humans: the interaction between noradrenaline and vasopressin in vasoconstriction.

Author information

1
Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands.
2
Department of Clinical Pharmacy and Toxicology, Leiden University Medical Centre, Leiden, The Netherlands.
3
Clinical Pharmacology PKMS Group, Astellas Pharma Inc., Tokyo, Japan.
4
Dutch Ministry of Health and Sports, Den Haag, The Netherlands.
5
Certara QSP, Canterbury, UK.

Abstract

BACKGROUND AND PURPOSE:

Development of combination therapies has received significant interest in recent years. Previously, a two-receptor one-transducer (2R-1T) model was proposed to characterize drug interactions with two receptors that lead to the same phenotypic response through a common transducer pathway. We applied, for the first time, the 2R-1T model to characterize the interaction of noradrenaline and arginine-vasopressin on vasoconstriction and performed inter-species scaling to humans using this mechanism-based model.

EXPERIMENTAL APPROACH:

Contractile data were obtained from in vitro rat small mesenteric arteries after exposure to single or combined challenges of noradrenaline and arginine-vasopressin with or without pretreatment with the irreversible α-adrenoceptor antagonist, phenoxybenzamine. Data were analysed using the 2R-1T model to characterize the observed exposure-response relationships and drug-drug interaction. The model was then scaled to humans by accounting for differences in receptor density.

KEY RESULTS:

With receptor affinities set to published values, the 2R-1T model satisfactorily characterized the interaction between noradrenaline and arginine-vasopressin in rat small mesenteric arteries (relative standard error ≤20%), as well as the effect of phenoxybenzamine. Furthermore, after scaling the model to human vascular tissue, the model also adequately predicted the interaction between both agents on human renal arteries.

CONCLUSIONS AND IMPLICATIONS:

The 2R-1T model can be of relevance to quantitatively characterize the interaction between two drugs that interact via different receptors and a common transducer pathway. Its mechanistic properties are valuable for scaling the model across species. This approach is therefore of significant value to rationally optimize novel combination treatments.

PMID:
29859008
PMCID:
PMC6057900
[Available on 2019-08-01]
DOI:
10.1111/bph.14385

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