Skip to main content

Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Table 3 Characteristics of models on drug distribution within the brain

From: The need for mathematical modelling of spatial drug distribution within the brain

Process Blood flow BBB transport Transport within the brain ECF Cellular exchange Binding kinetics Metabolism
Sections: Modelling drug transport through the brain capillary systemModelling drug transport across the BBBModelling drug transport within the brain ECFModelling intra-extracellular exchangeModelling drug binding kineticsModelling drug metabolism in the brain
Model    Diffusion Bulk flow   Specific Non-specific  
Brain vasculatue
 [125] + * *
 [116] + + +
 [121] + + + *
Brain ECF
 [133] + + +
 [154] + + + + +
 [129] * + + + * * *
 [71, 150, 150, 156, 182, 182, 184] +
 [33, 164] + +
 [192] + + *
 [127] + + + * *
 [107] * + + * *
 [128] * +
 [135, 152] * + * *
 [153] * + + * * *
 [130, 131] * + + * * *
 [134] + + * *
Compartmental
 [142] + + + *
 [145] + + * *
 [136, 137, 139] +
 [141] + +
 [140, 143] + + *
Hybrid
 [111] + + + + + +
 [212]
 [106] + +
 [132] * + + * * * *
 [54] + + + *
 [126] + + + + *
  1. Models are categorised based on their inclusion of processes affecting drug distribution within the brain as discussed in this section. In simple compartmental models, discussed in “Modelling drug exchange between compartments”, transport within compartments (such as the brain ECF) is not described, but multiple of the other processes may be covered. Models on drug distribution within the brain are classified into models on transport to the brain from the brain vasculature, transport within the brain ECF (i.e. models that include spatial transport within the brain ECF), simple compartmental models (i.e. models that include drug exchange between several compartments representing components of or related to the brain tissue but do not include spatial distribution within the compartments) and hybrid models (i.e. models that are a combination of multiple classes)
  2. +The process is covered
  3. The process is not covered
  4. * The process is covered, but by an elimination rate constant rather than by a complete description of the process