Development of Physiologically Based Pharmacokinetic (PBPK) Modeling

A special issue of Pharmaceutics (ISSN 1999-4923). This special issue belongs to the section "Pharmacokinetics and Pharmacodynamics".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 1667

Special Issue Editors


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Guest Editor
Pharmacokinetics and Pharmaceutical Technology Area, Miguel Hernandez University, San Juan de Alicante, 03550 Alicante, Spain
Interests: blood-brain barrier; bioequivalence; in vivo predictive dissolution; in vitro-in vivo correlation; PBPK; pharmacokinetics

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to this Special Issue: “Development of Physiologically Based Pharmacokinetic (PBPK) Modeling”. PBPK modeling is a mathematical tool which is able to describe the drug concentration in an organism using compartments that correspond to the different tissues and taking into consideration the physiology of this organism to parameterize the model.

This type of model has become useful in drug development since its discovery and early phases, when in vitro data and physicochemical properties could be used to obtain plasma profiles, which would be, later on, validated in vivo, until the clinical development phases, in which simulations can be used to describe drug performance in special populations.

This Special Issue aims to compile the latest research carried out with this tool, in both preclinical and clinical development stages. Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: early drug development, risk assessment and toxicity assessment, absorption/formulation modeling, and the prediction of drug–disease interactions and drug–drug interactions.

We look forward to receiving your contributions.

Dr. Bárbara Sánchez-Dengra
Prof. Dr. Isabel Gonzalez-Alvarez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Pharmaceutics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • physiologically based pharmacokinetic modeling (PBPK)
  • modeling and simulations (M&S)
  • pharmacokinetics
  • ADME
  • pharmacometrics

Published Papers (1 paper)

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Research

21 pages, 3654 KiB  
Article
Interspecies Brain PBPK Modeling Platform to Predict Passive Transport through the Blood–Brain Barrier and Assess Target Site Disposition
by Parsshava Mehta, Amira Soliman, Leyanis Rodriguez-Vera, Stephan Schmidt, Paula Muniz, Monica Rodriguez, Marta Forcadell, Emili Gonzalez-Perez and Valvanera Vozmediano
Pharmaceutics 2024, 16(2), 226; https://doi.org/10.3390/pharmaceutics16020226 - 04 Feb 2024
Viewed by 1378
Abstract
The high failure rate of central nervous system (CNS) drugs is partly associated with an insufficient understanding of target site exposure. Blood–brain barrier (BBB) permeability evaluation tools are needed to explore drugs’ ability to access the CNS. An outstanding aspect of physiologically based [...] Read more.
The high failure rate of central nervous system (CNS) drugs is partly associated with an insufficient understanding of target site exposure. Blood–brain barrier (BBB) permeability evaluation tools are needed to explore drugs’ ability to access the CNS. An outstanding aspect of physiologically based pharmacokinetic (PBPK) models is the integration of knowledge on drug-specific and system-specific characteristics, allowing the identification of the relevant factors involved in target site distribution. We aimed to qualify a PBPK platform model to be used as a tool to predict CNS concentrations when significant transporter activity is absent and human data are sparse or unavailable. Data from the literature on the plasma and CNS of rats and humans regarding acetaminophen, oxycodone, lacosamide, ibuprofen, and levetiracetam were collected. Human BBB permeability values were extrapolated from rats using inter-species differences in BBB surface area. The percentage of predicted AUC and Cmax within the 1.25-fold criterion was 85% and 100% for rats and humans, respectively, with an overall GMFE of <1.25 in all cases. This work demonstrated the successful application of the PBPK platform for predicting human CNS concentrations of drugs passively crossing the BBB. Future applications include the selection of promising CNS drug candidates and the evaluation of new posologies for existing drugs. Full article
(This article belongs to the Special Issue Development of Physiologically Based Pharmacokinetic (PBPK) Modeling)
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