Inhalation of a macromolecule in preclinical species #920
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Dear community, I am currently working on the design of an inhalation experiment of a new biologic in non-human primates. For this I thought to use the OSP to combine the information I have at hand. I would like to pick your brains in how to combine what is already available in PKSim and MoBi in the most efficient way to predict both lung exposure and systemic exposure after an inhalation. I have IV data, disposition patterns and an idea about the fraction of the administered dose that reaches the respiratory tract. My idea was thus to use one of the two inhalation models which have been constructed in MoBi: https://github.com/Open-Systems-Pharmacology/Inhalation-model or https://github.com/Open-Systems-Pharmacology/Lung-absorption-model Thank you very much for your insights! Robin |
Replies: 1 comment 2 replies
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Dear Robin, I can speak to the first inhalation model (https://github.com/Open-Systems-Pharmacology/Inhalation-model). You can scale down the spatial structures as you described. To do this most efficiently, I would access the current parameter values (e.g. airway diameter, airway length, etc.) and scale them using the R toolbox. In terms of connecting this inhalation model to a PK-Sim model, the model is not yet configured to do this very easily. The inhalation model needs to be connected to the full body PK-Sim model in a way that allows for intermittent deposits of molecule into the oral pathway due to mucociliary clearance. This configuration step still needs to be done with this inhalation model and it would take some work. I'm not sure if the other inhalation model would be easier to connect to PK-Sim. Alternatively, you could use the inhalation model connected to a two-compartment model (as it is currently configured), which would give you an estimate of both lung and systemic exposure after inhalation. Let me know if you have any other questions or concerns about configuring or using the model. Thank you, |
Dear Robin,
I can speak to the first inhalation model (https://github.com/Open-Systems-Pharmacology/Inhalation-model).
You can scale down the spatial structures as you described. To do this most efficiently, I would access the current parameter values (e.g. airway diameter, airway length, etc.) and scale them using the R toolbox.
In terms of connecting this inhalation model to a PK-Sim model, the model is not yet configured to do this very easily. The inhalation model needs to be connected to the full body PK-Sim model in a way that allows for intermittent deposits of molecule into the oral pathway due to mucociliary clearance. This configuration step still needs to be done with this inha…