Physiologically based pharmacokinetic modeling of nanoparticles.
Mingguang Li1, Khuloud T Al-Jamal, Kostas Kostarelos
1Department of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, Michigan 48202, United States.
Physiologically based pharmacokinetic (PBPK) models can aid nanoparticle research by improving data interpretation and rational design. Modifications to PBPK models are necessary to accurately assess nanoparticle absorption, distribution, metabolism, and excretion (ADME).
Area of Science:
- Nanotechnology
- Pharmacokinetics
- Biomedical Engineering
Background:
- Nanoparticle research is rapidly expanding, necessitating advanced tools for data analysis and design.
- Physiologically based pharmacokinetic (PBPK) models are effective for small molecule ADME studies.
- Initial applications show PBPK models hold promise for nanoparticle ADME research.
Purpose of the Study:
- To review nanoparticle absorption, distribution, metabolism, and excretion (ADME) research.
- To introduce PBPK model development principles for nanoparticles.
- To discuss factors for creating effective nanoparticle PBPK models.
Main Methods:
- Literature review of nanoparticle ADME studies.
- Examination of PBPK modeling principles and applications.
- Analysis of challenges and considerations for nanoparticle PBPK models.
Main Results:
- Nanoparticle ADME research requires understanding interactions with biological systems and transport across barriers.
- PBPK models need adaptations to account for nanoparticle-specific properties.
- Key factors for developing nanoparticle PBPK models have been identified.
Conclusions:
- PBPK models offer a powerful framework for interpreting nanoparticle experimental data.
- Tailored PBPK models are crucial for advancing rational nanoparticle design and safety assessment.
- Future applications of nanoparticle PBPK models are promising for various scientific fields.
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