AI Article Synopsis

  • The paper reviews advancements and challenges in predicting drug concentrations in tissues and cells through various experimental and modeling approaches.
  • It highlights real-world examples and regulatory cases to demonstrate how data supports drug development, particularly for compounds affected by drug transport mechanisms.
  • The article aims to provide best practices and strategies for choosing the right experimental methods to estimate drug concentrations and apply PBPK modeling effectively for human pharmacokinetic assessment.

Article Abstract

This white paper examines recent progress, applications, and challenges in predicting unbound and total tissue and intra/subcellular drug concentrations using in vitro and preclinical models, imaging techniques, and physiologically based pharmacokinetic (PBPK) modeling. Published examples, regulatory submissions, and case studies illustrate the application of different types of data in drug development to support modeling and decision making for compounds with transporter-mediated disposition, and likely disconnects between tissue and systemic drug exposure. The goals of this article are to illustrate current best practices and outline practical strategies for selecting appropriate in vitro and in vivo experimental methods to estimate or predict tissue and plasma concentrations, and to use these data in the application of PBPK modeling for human pharmacokinetic (PK), efficacy, and safety assessment in drug development.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197917PMC
http://dx.doi.org/10.1002/cpt.1183DOI Listing

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