Non‐linear blood–brain barrier transport and dosing strategies influence receptor occupancy ratios of morphine and its metabolites in pain matrix

Author:

Budda Divakar1ORCID,Gülave Berfin1ORCID,van Hasselt J. G. Coen1ORCID,de Lange Elizabeth C. M.1ORCID

Affiliation:

1. Division of Systems Pharmacology and Pharmacy, Leiden Academic Centre for Drug Research Leiden University Leiden The Netherlands

Abstract

AbstractBackground and PurposeMorphine is important for treatment of acute and chronic pain. However, there is high interpatient variability and often inadequate pain relief and adverse effects. To better understand variability in the dose‐effect relationships of morphine, we investigated the effects of its non‐linear blood–brain barrier (BBB) transport on μ‐receptor occupancy in different CNS locations, in conjunction with its main metabolites that bind to the same receptor.Experimental ApproachCNS exposure profiles for morphine, M3G and M6G for clinically relevant dosing regimens based on intravenous, oral immediate‐ and extended‐release formulations were generated using a physiology‐based pharmacokinetic model of the CNS, with non‐linear BBB transport of morphine. The simulated CNS exposure profiles were then used to derive corresponding μ‐receptor occupancies at multiple CNS pain matrix locations.Key ResultsSimulated CNS exposure profiles for morphine, M3G and M6G, associated with non‐linear BBB transport of morphine resulted in varying μ‐receptor occupancies between different dose regimens, formulations and CNS locations. At lower doses, the μ‐receptor occupancy of morphine was relatively higher than at higher doses of morphine, due to the relative contribution of M3G and M6G. At such higher doses, M6G showed higher occupancy than morphine, whereas M3G occupancy was low throughout the dose ranges.Conclusion and ImplicationsNon‐linear BBB transport of morphine affects the μ‐receptor occupancy ratios of morphine with its metabolites, depending on dose and route of administration, and CNS location. These predictions need validation in animal or clinical experiments, to understand the clinical implications.

Publisher

Wiley

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