Recent Progress on Physiologically Based Pharmacokinetic (PBPK) Model: A Review Based on Bibliometrics
He Huang1, Wenjing Zhao1, Ning Qin1
1School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Toxics
|June 26, 2024
Summary
Physiologically based pharmacokinetic/toxicokinetic (PBPK) models are vital for understanding chemical impacts. This review highlights their extensive use in medicine and growing application in environmental science for risk assessment.
Area of Science:
- Environmental Science
- Toxicology
- Pharmacokinetics
Background:
- Physiologically based pharmacokinetic/toxicokinetic (PBPK/PBTK) models simulate chemical actions using organismal properties.
- PBPK models have a century of development with success in medicine, environmental science, and ecology.
- A systematic review of PBPK model progress, particularly in aquatic environmental research, is lacking.
Purpose of the Study:
- To systematically review the progress and main research directions of PBPK models.
- To comprehensively understand the application of PBPK models in aquatic environmental research.
- To analyze trends and identify future research gaps and solutions.
Main Methods:
- Collected 3974 articles on PBPK models from 1996 to March 2024.
- Utilized CiteSpace for keyword co-occurrence and cluster mapping to categorize research areas.
- Performed bibliometric analysis to identify trends and growth patterns.
Main Results:
- Medical research dominates PBPK applications, with "drug assessment" (55%) being the largest area, alongside "cross-species prediction", "drug-drug interactions", and "pediatrics and pregnancy drug development".
- Significant growth observed in environmental research applications, focusing on predicting chemical residues and linking internal to external exposure.
- PBPK models are effective for understanding chemical-biological interactions despite species-specific parameter limitations.
Conclusions:
- PBPK models are crucial for understanding chemical mechanisms in organisms.
- Environmental applications are rapidly expanding, offering insights into ecological and human health risks.
- Integrating PBPK with QSAR, Bayesian methods, and machine learning can address current research limitations.
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