Evidence map›Paper›PMID 26718955›Full record

ArticlePharmaceutical research2016

Translational Modeling in Schizophrenia: Predicting Human Dopamine D2 Receptor Occupancy.

Martin Johnson, Magdalena Kozielska, Venkatesh Pilla Reddy, An Vermeulen, Hugh A Barton, Sarah Grimwood, Rik de Greef, Geny M M Groothuis, Meindert Danhof, Johannes H Proost

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Article in Pharmaceutical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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  6. Modeling of prolactin response following dopamine DPharmacology research & perspectives · 2017
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Martin JohnsonDepartment of Pharmacokinetics, Toxicology and Targeting, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
Magdalena KozielskaDepartment of Pharmacokinetics, Toxicology and Targeting, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
Venkatesh Pilla ReddyDepartment of Pharmacokinetics, Toxicology and Targeting, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
An VermeulenClinical Pharmacology & Pharmacometircs, Janssen Research and Development, A Division of Janssen Pharmaceutica NV, Beerse, Belgium.
Hugh A BartonWorldwide Research & Development, Pfizer, Inc., Groton, Connecticut, USA.
Sarah GrimwoodWorldwide Research & Development, Pfizer, Inc., Groton, Connecticut, USA.
Rik de GreefQuantitative Solutions, Pivot Park, Molenweg 79, 5349 AC, Oss, The Netherlands.
Geny M M GroothuisDepartment of Pharmacokinetics, Toxicology and Targeting, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
Meindert DanhofDivision of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands.
Johannes H ProostDepartment of Pharmacokinetics, Toxicology and Targeting, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands. j.h.proost@rug.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the ability of a previously developed hybrid physiology-based pharmacokinetic-pharmacodynamic (PBPKPD) model in rats to predict the dopamine D2 receptor occupancy (D2RO) in human striatum following administration of antipsychotic drugs.

methodsA hybrid PBPKPD model, previously developed using information on plasma concentrations, brain exposure and D2RO in rats, was used as the basis for the prediction of D2RO in human. The rat pharmacokinetic and brain physiology parameters were substituted with human population pharmacokinetic parameters and human physiological information. To predict the passive transport across the human blood-brain barrier, apparent permeability values were scaled based on rat and human brain endothelial surface area. Active efflux clearance in brain was scaled from rat to human using both human brain endothelial surface area and MDR1 expression. Binding constants at the D2 receptor were scaled based on the differences between in vitro and in vivo systems of the same species. The predictive power of this physiology-based approach was determined by comparing the D2RO predictions with the observed human D2RO of six antipsychotics at clinically relevant doses.

resultsPredicted human D2RO was in good agreement with clinically observed D2RO for five antipsychotics. Models using in vitro information predicted human D2RO well for most of the compounds evaluated in this analysis. However, human D2RO was under-predicted for haloperidol.

conclusionsThe rat hybrid PBPKPD model structure, integrated with in vitro information and human pharmacokinetic and physiological information, constitutes a scientific basis to predict the time course of D2RO in man.

Indexed as

AnimalsAntipsychotic AgentsBlood-Brain BarrierBrainCorpus StriatumDopamine D2 Receptor AntagonistsHumansModels, BiologicalRatsReceptors, Dopamine D2SchizophreniaAntipsychotic AgentsDopamine D2 Receptor AntagonistsDRD2 protein, humanReceptors, Dopamine D2antipsychoticdopamine D2 receptor occupancyPBPKschizophreniatranslational research

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.