Mechanism-Based Pharmacokinetic and Pharmacodynamic 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 751

Special Issue Editor


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Guest Editor
Department of Pharmacokinetics and Physical Pharmacy, Faculty of Pharmacy, Jagiellonian University Medical College, 9 Medyczna Street, 30-688 Krakow, Poland
Interests: PKPD; pharmacokinetics; pharmacometrics; mathematical modeling; QSP

Special Issue Information

Dear Colleagues,

Mechanistic pharmacokinetic and pharmacodynamic modeling is a methodology utilized at all stages of drug discovery and development. This approach enables the translation of results of preclinical investigations into clinical settings. Mechanistic physiologically based pharmacokinetic models (PBPK) describe the distribution of drugs within different tissues, cells and at the level of subcellular compartments. Mechanism-based pharmacokinetic/pharmacodynamic (PK/PD) models provide insights into the mechanisms of drug effects, pathophysiology of diseases and interrelations among drugs and various signaling molecules and biomarkers. PK/PD modeling allows for the quantitative assessment of drug effects in vivo and performing simulations in order to select the most appropriate dosing regimen that maximizes efficacy while minimizing the toxicity of medications. This approach may be also useful in the selection of first-in-human doses based on the results of preclinical studies.

Therefore, this Special Issue is dedicated to original research, as well as review articles related to mechanism-based PBPK, mechanistic PK/PD or quantitative system pharmacology (QSP) modeling. Both experimental and simulation-based studies are acceptable. Pharmaceutical scientists are cordially invited to share the results of their investigations covering the full spectrum of PK/PD modeling and simulation, including PBPK models of drugs in preclinical species and humans, disease progression modeling, PBPK/PD modeling and PBPK/QSP approaches.

Dr. Artur Świerczek
Guest Editor

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Keywords

  • PK/PD modeling
  • disease progression modeling
  • quantitative system pharmacology
  • physiologically based modeling

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Published Papers (1 paper)

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Research

12 pages, 2046 KiB  
Article
Toward Model-Informed Precision Dosing for Remimazolam: A Population Pharmacokinetic–Pharmacodynamic Analysis
by Yueting Chen, Cansheng Gong, Feng Liu, Zheng Jiao and Xiaochun Zheng
Pharmaceutics 2024, 16(9), 1122; https://doi.org/10.3390/pharmaceutics16091122 - 26 Aug 2024
Viewed by 503
Abstract
Remimazolam, widely used for procedural sedation and general anesthesia, is a new ultra short-acting benzodiazepine for intravenous sedation and anesthesia. We aim to characterize the pharmacokinetics/pharmacodynamics (PK/PD) of remimazolam and its metabolite CNS 7054 in healthy Chinese volunteers using population analysis and suggest [...] Read more.
Remimazolam, widely used for procedural sedation and general anesthesia, is a new ultra short-acting benzodiazepine for intravenous sedation and anesthesia. We aim to characterize the pharmacokinetics/pharmacodynamics (PK/PD) of remimazolam and its metabolite CNS 7054 in healthy Chinese volunteers using population analysis and suggest an optimal dosing regimen for sedation therapy. Data were collected from a single-center, placebo-controlled, randomized, and dose–escalation clinical pharmacology study. Forty-six healthy volunteers received a single infusion dose of remimazolam, while nine healthy subjects received a continuous infusion of remimazolam. A population PK/PD model was established and RxODE and Shiny in R were used to design the remimazolam dosing regimens. A three-compartment model best described the PK of remimazolam and a two-compartment model with one transit compartment was adopted for CNS 7054. The relationship between exposure and the bispectral index was best described using an effect compartment model with an inhibitory sigmoid model. Additionally, a web-based dashboard was developed to provide individualized dosing regimens, complemented by a graphical illustration of the PK/PD profiles of the proposed dosing regimen. The established population PK/PD model characterized the dose–exposure–response relationship of remimazolam well, which could be applied to optimize individual dosing regimens. Full article
(This article belongs to the Special Issue Mechanism-Based Pharmacokinetic and Pharmacodynamic Modeling)
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