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Antihypertensive Drugs: Potassium-Sparing Diuretics01:28

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Liddle syndrome is a genetically inherited form of hypertension characterized by the overactivity of epithelial sodium channels in the nephron, the functional unit of the kidney. This heightened activity leads to increased sodium reabsorption and excessive excretion of potassium. To counteract this, potassium-sparing diuretics such as amiloride are used. They function by blocking these sodium channels, thereby reducing the influx of sodium into the epithelial cells and minimizing the loss of...
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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

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Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Measuring Cation Transport by Na,K- and H,K-ATPase in Xenopus Oocytes by Atomic Absorption Spectrophotometry: An Alternative to Radioisotope Assays
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A Mechanism-Based Multi-Level Population PK/PD Model for Potassium-Competitive Acid Blockers.

Woojin Jung1,2, Jaeyeon Lee3, Hyeseon Jeon1

  • 1College of Pharmacy and Institute of Drug Research and Development, Chungnam National University, Daejeon, Republic of Korea.

CPT: Pharmacometrics & Systems Pharmacology
|January 16, 2026
PubMed
Summary

Optimizing dosing for potassium-competitive acid blockers (PCABs) is complex. A new model reveals how food intake and drug properties affect PCAB efficacy, aiding personalized treatment strategies for acid-related diseases.

Keywords:
anti‐ulcer agentmulti‐level population analysispharamcodynamicspharmacokineticspharmacometrics

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High-throughput Screening for Small-molecule Modulators of Inward Rectifier Potassium Channels
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High-throughput Screening for Small-molecule Modulators of Inward Rectifier Potassium Channels
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High-throughput Screening for Small-molecule Modulators of Inward Rectifier Potassium Channels

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Area of Science:

  • Pharmacology
  • Pharmacokinetics and Pharmacodynamics
  • Drug Development

Background:

  • Potassium-competitive acid blockers (PCABs) are emerging treatments for acid-related diseases, offering an alternative to proton pump inhibitors.
  • Optimizing PCAB dosing is challenging due to complex interactions between drug exposure, food intake, and circadian rhythms.
  • Understanding these interactions is crucial for effective pharmacotherapy.

Purpose of the Study:

  • To develop and apply a multi-level population pharmacokinetic/pharmacodynamic (PK/PD) model for four representative PCABs: tegoprazan, YH4808, fexuprazan, and vonoprazan.
  • To evaluate cross-drug PK/PD variability and the impact of food intake on PCAB efficacy.
  • To provide a modeling platform for optimizing PCAB dosing strategies and informing drug development.

Main Methods:

  • A semi-mechanistic population PK/PD model was constructed using published data, incorporating food effects, circadian pH rhythms, and pH-dependent absorption.
  • A multi-level nonlinear mixed-effects modeling framework was employed to analyze inter-drug and inter-study variability.
  • Simulations were performed to predict intragastric pH profiles and assess the impact of meal timing on acid control.

Main Results:

  • The model accurately described plasma concentrations and intragastric pH for all four PCABs under various conditions.
  • Significant differences in PK and PD potency were identified among the PCABs, with in vitro potency ranked as vonoprazan > fexuprazan > YH4808 > tegoprazan.
  • Both pre- and post-meal administration were shown to enhance gastric pH control, with distinct mechanisms potentially involved depending on dosing conditions.

Conclusions:

  • The study successfully demonstrated a mechanistic, multi-level population approach for cross-drug PK/PD evaluation of PCABs.
  • Findings support the need for drug-specific dose optimization, highlighting the clinical significance of food-drug interactions in PCAB therapy.
  • The developed modeling framework serves as a valuable tool for pharmacotherapy and model-informed drug development (MIDD).