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Bayesian Hierarchical Modeling of Receptor Occupancy in PET Trials.

Bayesian Hierarchical Modeling of Receptor Occupancy in PET Trials. Research Abstract Details 

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  • Bayesian Hierarchical Modeling of Receptor Occupancy in PET Trials. Abstract Text:

    f vandenhendeF Vandenhende,d renardD Renard,y nieY Nie,a kumarA Kumar,j millerJ Miller,j tauscherJ Tauscher,j witcherJ Witcher,y zhouY Zhou,d f wongD F Wong,

    Receptor occupancy (RO) PET is a non-invasive way to determine drug on target. Given the complexity of procedures, long acquisition times, and high cost, ligand displacement imaging trials often have a limited size and produce sparse RO results over the time course of the blocking drug. To take the best advantage of the available data, we propose a Bayesian hierarchical model to analyze RO as a function of the displacing drug. The model has three components: the first estimates RO using brain regional time-radioactivity concentrations, the second shapes the pharmacokinetic profile of the blocking drug, and the last relates PK to RO. Compared to standard 2-steps RO estimation methods, our Bayesian approach quantifies the variability of the individual RO measures. The model has also useful prediction capabilities: to quantify brain RO for dosage regimens of the drug that were not tested in the experiment. This permits the optimal dose selection of neuroscience drugs at a limited cost. We illustrate the method in the prediction of RO after multiple dosing from a single-dose trial.

    Bayesian Hierarchical Modeling of Receptor Occupancy in PET Trials. Publishing Authors By Initials

    f vandenhendeF Vandenhende,d renardD Renard,y nieY Nie,a kumarA Kumar,j millerJ Miller,j tauscherJ Tauscher,j witcherJ Witcher,y zhouY Zhou,df wongDF Wong,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

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    Bayesian Hierarchical Modeling of Receptor Occupancy in PET Trials. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Journal of biopharmaceutical statistics

    VOLUME: 18

    Page Numbers: 256-72

    Journal Abbreviation:

    ISSN: 1520-5711

    DAY: 10

    MONTH: 03

    YEAR: 2008

    Bayesian Hierarchical Modeling of Receptor Occupancy in PET Trials. Information

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    LANGUAGE: eng

    NlmUniqueID: 9200436

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    Grant and Affiliation Information for Bayesian Hierarchical Modeling of Receptor Occupancy in PET Trials.

    AFFILIATION: Global Statistics, Lilly Research Laboratories, Mont-Saint-Guibert, Belgium.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: J Biopharm Stat

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