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Developing PBPK Model-Based Mechanistic IVIVCs for Long Acting Injectable Suspensions and Implants (U01) Clinical Trial Optional

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Contract Overview

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General Info

Agency

Department Of Health And Human Services → Food And Drug Administration

NAICS

N/A

Place of Performance

Not specified

Set-Aside

NONE

Documents

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No documents available

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → Food And Drug Administration
Contacts1 person available
OfficeUS
Organization / Agency
Department Of Health And Human Services → Food And Drug Administration
Office AddressUS
Contacts
Terrin Brown Grants Management Specialist

Full Description

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The objective of this research proposal is to develop physiologically based pharmacokinetic (PBPK) model-based mechanistic in vitro in vivo correlations (IVIVCs) for two major types of long acting injectables (LAIs) such as crystalline suspensions and polymer-based implants by considering their distinct characteristics. The goal of the project is to develop a bottom-up mechanistic PBPK model for these two LAI categories by accounting for the influence of critical formulation attributes of each LAI drug product type to predict its in vivo release mechanism. The model formulation parameters and relevant physiology should be informed with suitable in vitro and in vivo experiments. A suitable preclinical animal model can be used to validate the PBPK model based IVIVCs for both LAI suspensions and polymer based implants.


The use of PBPK modelling provides a unique opportunity to understand how the physicochemical properties of drug molecules/polymer, implant specific properties, critical formulation attributes, and physiology, among other things, influence the in vivo release mechanisms of LAI drug products and their disposition characteristics. Moreover, once developed, a mechanistic PBPK model can help to define the 'safe space' for critical formulation attributes relevant to the reference listed drug (RLD) product, explain sources of PK variability and extrapolate predictions to human subjects by leveraging animal model data and by accounting for species-specific physiological differences.