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Development of a minimalistic physiologically based pharmacokinetic (mPBPK) model for the preclinical development of spectinamide antibiotics
Parmar, K. R., Lukka, P. B., Wagh, S., Temrikar, Z. H., Liu, J., Lee, R. E., Braunstein, M., Hickey, A. J., Robertson, G. T., Gonzalez-Juarrero, M., Edginton, A., & Meibohm, B. (2023). Development of a minimalistic physiologically based pharmacokinetic (mPBPK) model for the preclinical development of spectinamide antibiotics. Pharmaceutics, 15(6). https://doi.org/10.3390/pharmaceutics15061759
Spectinamides 1599 and 1810 are lead spectinamide compounds currently under preclinical development to treat multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis. These compounds have previously been tested at various combinations of dose level, dosing frequency, and route of administration in mouse models of Mycobacterium tuberculosis (Mtb) infection and in healthy animals. Physiologically based pharmacokinetic (PBPK) modeling allows the prediction of the pharmacokinetics of candidate drugs in organs/tissues of interest and extrapolation of their disposition across different species. Here, we have built, qualified, and refined a minimalistic PBPK model that can describe and predict the pharmacokinetics of spectinamides in various tissues, especially those relevant to Mtb infection. The model was expanded and qualified for multiple dose levels, dosing regimens, routes of administration, and various species. The model predictions in mice (healthy and infected) and rats were in reasonable agreement with experimental data, and all predicted AUCs in plasma and tissues met the two-fold acceptance criteria relative to observations. To further explore the distribution of spectinamide 1599 within granuloma substructures as encountered in tuberculosis, we utilized the Simcyp granuloma model combined with model predictions in our PBPK model. Simulation results suggest substantial exposure in all lesion substructures, with particularly high exposure in the rim area and macrophages. The developed model may be leveraged as an effective tool in identifying optimal dose levels and dosing regimens of spectinamides for further preclinical and clinical development.