Description:
A novel 9‑compartment physiologically based pharmacokinetic model was developed and fully validated for prediction of heterogeneous drug distribution and exposure in the human central nervous system (CNS) and brain tumors. The 9-compartment model accounts for the general anatomical structure and pathophysiology of the human CNS and brain tumors. It enables prediction of drug concentration – time profiles (i.e., pharmacokinetics) in different regions of the brain, tumor, and cerebrospinal fluid. The model was vigorously validated with clinically observed data. SpatialCNS-PBPK is an advanced, web-based platform implementing the 9-compartment PBPK model, which allows a broad range of users to apply the 9-compartment model for predicting spatial pharmacokinetics in the CNS and brain tumors. It provides a valuable computational tool to support rational drug development and treatment for brain cancer.
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Key Advantages:
- Mechanistic 9-compartment model capturing anatomical and physiological brain complexity
- User-friendly web-based R/Shiny interface for easy simulation and analysis
- Validated accuracy through correlation with established software (Simcyp Simulator)
- Detailed user guide enhancing accessibility for researchers and clinicians
- Improves the prediction of drug penetration across the blood-brain and blood-brain tumor barriers
- Novel tool for spatial pharmacokinetic modeling in the central nervous system
- Facilitates optimization of brain-targeted therapies due to heterogeneous drug distribution
- Informs designing effective clinical trials for brain disorders and tumors
Market Opportunities:
- Drug development pipelines targeting central nervous system disorders and brain cancers
- Clinical trial design and optimization for brain-penetrant therapeutics
- Pharmacokinetic research in neuroscience and oncology
- Personalized medicine approaches to improve drug efficacy in brain diseases
- Academic and pharmaceutical research tools for CNS drug delivery studies
Stage of Development:
Pre-Clinical
Patent Status:
Pending
References & Publications:
2025, Jing Li, Charuka Wickramasinghe, Andrew Wu, Yuanyuan Jiang, Jun Jiang, Artak Tovmasyan, Seongho Kim, Nader Sanai PHYSIOLOGICALLY BASED PHARMACOKINETIC MODELING OF SPATIAL HETEROGENEITY OF DRUG PENETRATION AND EXPOSURE IN THE HUMAN BRAIN AND BRAIN TUMORSClinical Pharmacology & Therapeutics 2025; 117(3): 690-703. doi: 10.1002/cpt.3505.
