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Sign upOver prediction in mouse submandibular tissue #421
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While these types of simulations are wildly uncertain, it seems that you have an excellent estimate for distribution into the gland. Physiologically you may want to consider that there is an additional active process removing the drug from inside the cells of the submandibular gland. For example, saliva excretion into the mouth? |
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Hi Paul, |
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Hi Paul, I added an additional saliva compartment to my model and then created a neighborhood between the submandibular gland and saliva compartment. I obtained the saliva compartment from standard human simulation and loaded it to my model as a new container. I removed the salivary gland compartment inside the saliva compartment to avoid redundancy. However, now I am having trouble defining the transport from the submandibular gland to the saliva. From the literature, it is clear that the transport process from any salivary gland to saliva usually follows first-order process. I tried few default equations (fu/k_int_pls etc) and simulations failed to show any transport of drug from the submandibular gland to saliva. Could you please suggest me the best way to add an equation to account for the transport of drug from the submandibular gland to saliva. Thanks, |
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Hi Kash, you have to make a new passive transport formula. It would be something like this:
Click OK! |
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Hi Paul, Thank you so much for providing a detailed flow of instructions. I will follow them and get back to you if i run into any issues. Sincerely, |
Hello Everyone,
I developed a mouse PBPK model for my compound (acidic, with Log P 3.22, molecular weight 376.5 ) with submandibular gland added as an additional tissue using MoBi. I saved gonads as the primary container and re-imported back to MoBi and added it as a submandibular gland. I changed parameters such as tissue weight, tissue volume, and specific blood flow rate to reflect the values of submandibular gland reported in the literature. After completing the simulation the model is over predicting the concentrations when compared to observed data. Could you please provide some insights into what may be contributing to over prediction. Any help is much appreciated.
Sincerely,
Kash