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Structural and functional pharmacokinetic analogs for physiologically based pharmacokinetic (PBPK) model evaluation
1The Procter & Gamble Company, 8700 Mason Montgomery Road, Cincinnati, OH, 45040, USA.
Physiologically based pharmacokinetic (PBPK) models can now be evaluated without new data. This study shows that pharmacokinetic (PK) data from similar chemicals can be used to assess PBPK models, supporting animal-free safety assessments.
Area of Science:
- Toxicology and Pharmacology
- Computational Chemistry
- Risk Assessment
Background:
- Physiologically based pharmacokinetic (PBPK) models simulate chemical behavior in the body.
- Evaluating PBPK models typically requires chemical-specific pharmacokinetic (PK) data, which is often unavailable.
- Limited PK data hinders the widespread use and acceptance of PBPK models in safety assessments.
Purpose of the Study:
- To test if PBPK models for a target chemical can be evaluated using PK data from a different, source chemical.
- To explore analog-based approaches for PBPK model evaluation in the absence of target chemical PK data.
- To support the development of animal-free safety assessment strategies by reducing the need for new PK data generation.
Main Methods:
- Two analog identification techniques were employed: structural PK analogs and functional PK analogs.
- These methods were used to select source chemicals with existing PK data.
- Oral human PBPK models were evaluated using the PK data from identified source chemical analogs.
Main Results:
- Both structural and functional analog approaches successfully identified source chemicals with similar PK profiles to the target chemical.
- The identified PK analogs provided a viable alternative for evaluating PBPK models.
- This demonstrates the feasibility of using existing PK data from analogous compounds for PBPK model assessment.
Conclusions:
- PBPK models can be effectively evaluated using PK data from structurally or functionally similar chemicals.
- Analog-based evaluation methods offer a practical solution when target chemical PK data is limited or absent.
- These findings contribute to advancing animal-free safety assessment methodologies by enabling PBPK model evaluation without new data generation.
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