Open StephanSchaller opened 7 years ago
@StephanSchaller
Linear scaling is of course nonsense. At least allometric scaling should be considered
Can you explain how this would be done? (especially based on which data.).
Well, just like we developed all the other populations: literature search & implementation.
There has been a recent publication by Roche: Claudia Suenderhauf & Neil Parrott which is quite informative.
Of course, this just covers a different but narrow weight range around 14 kg. But it is a start. If you can tell me how to create and integrate new populations in PKSim I would be happy to start. But this could take a while.
@StephanSchaller
Well, just like we developed all the other populations: literature search & implementation.
Thanks for the clarification.
You mentioned allometric scaling in your previous post. How would go about that (as opposed to implemented a full blown population)
@msevestre
You mentioned allometric scaling in your previous post. How would go about that <
It would still be a half-blown literature search: Ideally we would have for at least 3 different BWeights information on all required physiological properties
Hello everyone. I am developing pigs PBPK models for some compounds and I faced the same issue for variability as the compounds were given in Dose/Kg which resulted in almost the same PK profile for all the pigs in the study despite being different in weight. My question here is I tried to look for the reference provided about the pig model to find explanation for this issue in the pig model but I could not , so if I can have more information about that, it will be helpful .
In a recent project, I am confronted with a number of issues with the existing PKSim Minipig model:
The PKSim Database only represents a 40 kg Minipig, which is linearly scaled if larger or smaller pigs are required. Many labs use smaller minipigs (6 months and 14 kg BW) to economize compound usage.
Linear scaling is of course nonsense. At least allometric scaling should be considered.
Especially for Dose/BW experiments, linear scaling dose not introduce any variability whatsoever in the results, so populations are useless.
Also, variability for most properties cannot be added manually in the population
Last but not least, the model structure is not consistent with the human model, making scaling of models in MATLAB only possible with quite extensive workarounds (which I have solved but cannot be expected from a standard user)
What can we do to solve these issues (I admit, the last one should be an extra thread, I opened #378)?