The PBNB model: Unlock your PK data

Today, our manuscript on the Physiologically-based Nanocarrier Biopharmaceutics (PBNB) Model was finally accepted for publication by the European Journal of Pharmaceutics and Biopharmaceutics. I explained the purpose of this model in my talk during the Explain-My-Research Virtual Conference in May 2020 and will go more into detail during a Live Webinar organized by Malvern Panalytical in July. Rather than providing a ‘convenient fit’ only, the model is designed to link the pharmacokinetics of nanocarriers to a physiologically-based distribution. Interesting parameters you may obtain with this model are, for example, the targeting capability and the mean residence time of the nanocarrier in the blood plasma. A lowered plasma concentration often indicates that more drug has been released from the carrier and is not available for targeting any more. The PBNB model recognizes such changes and calculates how much carrier-bounded drug is accumulated before this release happens. Expressed as a fraction of the total dose, this is the targeting capability (Ftarget) . The mean residence time of the carrier (MRTc) in the blood plasma indicates how much time the delivery system had for this accumulation process and is a marker for targeting accuracy.

Some of the simulations our PBNB model is capable of are provided on the servers of our collaborator isee systems.