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Ischemia-reperfusion Model of Acute Kidney Injury and Post Injury Fibrosis in Mice
Published on: August 9, 2013
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Modeling Exposure to Understand and Predict Kidney Injury
Zhenhong Li1, Ciaran Fisher2, Iain Gardner3
1Medicine Design Modeling and Simulation, Pfizer, Inc, Cambridge, MA.
Seminars in Nephrology
|March 5, 2019
Summary
Understanding kidney drug exposure is key for drug-induced kidney injury. Unique kidney properties influence drug accumulation, requiring pharmacokinetic models to predict toxicity.
Area of Science:
- Nephrology
- Pharmacokinetics
- Toxicology
Background:
- Drug-induced kidney injury (DIKI) necessitates understanding drug exposure in the kidney.
- Kidney physiology uniquely influences drug accumulation and exclusion, impacting toxicity.
- Blood concentrations may not always reflect kidney exposure accurately.
Purpose of the Study:
- To review mechanisms driving drug accumulation/exclusion in the kidney.
- To examine the role of these mechanisms in DIKI.
- To provide an overview of kidney physiologically based pharmacokinetic (PBPK) models.
Main Methods:
- Literature review of physiological, biochemical, and physicochemical properties affecting kidney drug disposition.
- Analysis of in vivo examples of DIKI driven by pharmacokinetic mechanisms.
- Overview of existing kidney PBPK model structures, applications, and limitations.
Main Results:
- Kidney's unique properties can lead to drug accumulation or exclusion, influencing toxicity.
- Physiologically based pharmacokinetic models are valuable tools for understanding DIKI.
- PBPK models aid in predicting drug interactions and patient population variability.
Conclusions:
- Understanding kidney-specific pharmacokinetics is crucial for managing DIKI.
- Kidney PBPK models offer a framework for studying drug disposition and toxicity.
- Further development of PBPK models is needed to address gaps in toxicology.
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