Literature DB >> 33661919

Physiologically based pharmacokinetic/pharmacodynamic model for the prediction of morphine brain disposition and analgesia in adults and children.

Laurens F M Verscheijden1, Carlijn H C Litjens1,2, Jan B Koenderink1, Ron H J Mathijssen3, Marcel M Verbeek4, Saskia N de Wildt1,5, Frans G M Russel1.   

Abstract

Morphine is a widely used opioid analgesic, which shows large differences in clinical response in children, even when aiming for equivalent plasma drug concentrations. Age-dependent brain disposition of morphine could contribute to this variability, as developmental increase in blood-brain barrier (BBB) P-glycoprotein (Pgp) expression has been reported. In addition, age-related pharmacodynamics might also explain the variability in effect. To assess the influence of these processes on morphine effectiveness, a multi-compartment brain physiologically based pharmacokinetic/pharmacodynamic (PB-PK/PD) model was developed in R (Version 3.6.2). Active Pgp-mediated morphine transport was measured in MDCKII-Pgp cells grown on transwell filters and translated by an in vitro-in vivo extrapolation approach, which included developmental Pgp expression. Passive BBB permeability of morphine and its active metabolite morphine-6-glucuronide (M6G) and their pharmacodynamic parameters were derived from experiments reported in literature. Model simulations after single dose morphine were compared with measured and published concentrations of morphine and M6G in plasma, brain extracellular fluid (ECF) and cerebrospinal fluid (CSF), as well as published drug responses in children (1 day- 16 years) and adults. Visual predictive checks indicated acceptable overlays between simulated and measured morphine and M6G concentration-time profiles and prediction errors were between 1 and -1. Incorporation of active Pgp-mediated BBB transport into the PB-PK/PD model resulted in a 1.3-fold reduced brain exposure in adults, indicating only a modest contribution on brain disposition. Analgesic effect-time profiles could be described reasonably well for older children and adults, but were largely underpredicted for neonates. In summary, an age-appropriate morphine PB-PK/PD model was developed for the prediction of brain pharmacokinetics and analgesic effects. In the neonatal population, pharmacodynamic characteristics, but not brain drug disposition, appear to be altered compared to adults and older children, which may explain the reported differences in analgesic effect.

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Year:  2021        PMID: 33661919      PMCID: PMC7963108          DOI: 10.1371/journal.pcbi.1008786

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  87 in total

Review 1.  Physiologically based pharmacokinetics joined with in vitro-in vivo extrapolation of ADME: a marriage under the arch of systems pharmacology.

Authors:  A Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2012-05-30       Impact factor: 6.875

2.  Physiologically based pharmacokinetic modelling 2: predicting the tissue distribution of acids, very weak bases, neutrals and zwitterions.

Authors:  Trudy Rodgers; Malcolm Rowland
Journal:  J Pharm Sci       Date:  2006-06       Impact factor: 3.534

3.  Population pharmacokinetics of oral morphine and its glucuronides in children receiving morphine as immediate-release liquid or sustained-release tablets for cancer pain.

Authors:  A Hunt; S Joel; G Dick; A Goldman
Journal:  J Pediatr       Date:  1999-07       Impact factor: 4.406

4.  A Preterm Physiologically Based Pharmacokinetic Model. Part I: Physiological Parameters and Model Building.

Authors:  Khaled Abduljalil; Xian Pan; Amita Pansari; Masoud Jamei; Trevor N Johnson
Journal:  Clin Pharmacokinet       Date:  2020-04       Impact factor: 6.447

5.  Specificity of doxorubicin versus rhodamine-123 in assessing P-glycoprotein functionality in the LLC-PK1, LLC-PK1:MDR1 and Caco-2 cell lines.

Authors:  I C van der Sandt; M C Blom-Roosemalen; A G de Boer; D D Breimer
Journal:  Eur J Pharm Sci       Date:  2000-09       Impact factor: 4.384

6.  Pharmacokinetic-pharmacodynamic modelling of the analgesic and antihyperalgesic effects of morphine after intravenous infusion in human volunteers.

Authors:  Pernille Ravn; David J R Foster; Mads Kreilgaard; Lona Christrup; Mads U Werner; Erik L Secher; Ulrik Skram; Richard Upton
Journal:  Basic Clin Pharmacol Toxicol       Date:  2014-03-17       Impact factor: 4.080

7.  A critical period in the supraspinal control of pain: opioid-dependent changes in brainstem rostroventral medulla function in preadolescence.

Authors:  Gareth J Hathway; David Vega-Avelaira; Maria Fitzgerald
Journal:  Pain       Date:  2012-02-09       Impact factor: 6.961

8.  Morphine-induced hyperalgesia involves mu opioid receptors and the metabolite morphine-3-glucuronide.

Authors:  Laurie-Anne Roeckel; Valérie Utard; David Reiss; Jinane Mouheiche; Hervé Maurin; Anne Robé; Emilie Audouard; John N Wood; Yannick Goumon; Frédéric Simonin; Claire Gaveriaux-Ruff
Journal:  Sci Rep       Date:  2017-09-04       Impact factor: 4.379

9.  Development of a physiologically-based pharmacokinetic pediatric brain model for prediction of cerebrospinal fluid drug concentrations and the influence of meningitis.

Authors:  Laurens F M Verscheijden; Jan B Koenderink; Saskia N de Wildt; Frans G M Russel
Journal:  PLoS Comput Biol       Date:  2019-06-13       Impact factor: 4.475

10.  Predicting Drug Concentration-Time Profiles in Multiple CNS Compartments Using a Comprehensive Physiologically-Based Pharmacokinetic Model.

Authors:  Yumi Yamamoto; Pyry A Välitalo; Dymphy R Huntjens; Johannes H Proost; An Vermeulen; Walter Krauwinkel; Margot W Beukers; Dirk-Jan van den Berg; Robin Hartman; Yin Cheong Wong; Meindert Danhof; John G C van Hasselt; Elizabeth C M de Lange
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-10-13
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  2 in total

Review 1.  In Vitro to In Vivo Extrapolation Linked to Physiologically Based Pharmacokinetic Models for Assessing the Brain Drug Disposition.

Authors:  Yukiko Murata; Sibylle Neuhoff; Amin Rostami-Hodjegan; Hiroyuki Takita; Zubida M Al-Majdoub; Kayode Ogungbenro
Journal:  AAPS J       Date:  2022-01-13       Impact factor: 4.009

2.  Differences in P-glycoprotein activity in human and rodent blood-brain barrier assessed by mechanistic modelling.

Authors:  Laurens F M Verscheijden; Jan B Koenderink; Saskia N de Wildt; Frans G M Russel
Journal:  Arch Toxicol       Date:  2021-07-15       Impact factor: 5.153

  2 in total

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