Table 2.
Model Approach | Mathematical Model | Mathematical Model of the Rest of the Body | Drugs | Notes | Ref |
---|---|---|---|---|---|
Simplified physiologically-based pharmacokinetic (PBPK) model Simplified PBPK model Simplified PBPK model |
Tumor was divided into capillary, interstitial and tumor cell sub-compartments. | 1-compartment PK model for liposome and 2-compartment PK model for drug. | Doxorubicin | Liposomal retention in tumors and the local release rate were identified to play pivotal roles in antitumor efficacy. | [118,119] |
Tumor was divided into capillary, interstitial, tumor cell and nucleus sub-compartments. | 1-compartment PK model for liposome and2-compartment PK model for drug. | Doxorubicin | The detailed drug transport into and out of the cell, drug-target association and dissociation, and liposome uptake and release in tumor cells were described. | [120] | |
Liver hepatocyte compartment with endosomal and cytoplastic compartments. | Plasma compartment. | hUGT1A1-modRNA | Endocytosis, release and transcription processes were described. After translated to humans, this model was used to estimate the first-in-human dose. | [121] | |
Whole-body PBPK model | / | Plasma and tissue (liver, spleen, kidneys, gut, lungs, heart and others) compartments. | Amphotericin B | The first whole-body PBPK model described the disposition of both liposome and drug simultaneously. | [122] |
Model with spatiotemporal characterization Model with spatiotemporal characterization |
The combination of tumor growth, angiogenesis, oxygen transport, nanoparticle transport and antitumor effect models. | / | / | The physiological properties of the tumor were considered. The model described the interactions between tumor progression and liposome disposition. | [125,127,128] |
Tumor vascular network and nanoparticle transport model. | / | / | Tumor blood vessel properties were simulated in this model. The interactions between the liposome and blood vessel were simulated to optimize the particle properties. | [129,130,131] | |
Model with in vitro—in vivo correlation (IVIVC) | Using in vitro studies to determine the model parameters and replace in vivo study in liposome optimization study. | Plasma and tissues compartments. | Doxorubicin | Liposome property–disposition relationships were established to facilitate liposome optimization. | [137] |