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A quantitative mechanistic PK/PD model directly connects Btk target engagement and in vivo efficacy.

ABSTRACT: Correlating target engagement with in vivo drug activity remains a central challenge in efforts to improve the efficiency of drug discovery. Previously we described a mechanistic pharmacokinetic-pharmacodynamic (PK/PD) model that used drug-target binding kinetics to successfully predict the in vivo efficacy of antibacterial compounds in models of Pseudomonas aeruginosa and Staphylococcus aureus infection. In the present work we extend this model to quantitatively correlate the engagement of Bruton's tyrosine kinase (Btk) by the covalent inhibitor CC-292 with the ability of this compound to reduce ankle swelling in an animal model of arthritis. The modeling studies include the rate of Btk turnover and reveal the vulnerability of Btk to engagement by CC-292.

SUBMITTER: Daryaee F

PROVIDER: S-EPMC5417014 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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A quantitative mechanistic PK/PD model directly connects Btk target engagement and in vivo efficacy.

Daryaee Fereidoon F Zhang Zhuo Z Gogarty Kayla R KR Li Yong Y Merino Jonathan J Fisher Stewart L SL Tonge Peter J PJ

Chemical science 20170314 5

Correlating target engagement with in vivo drug activity remains a central challenge in efforts to improve the efficiency of drug discovery. Previously we described a mechanistic pharmacokinetic-pharmacodynamic (PK/PD) model that used drug-target binding kinetics to successfully predict the in vivo efficacy of antibacterial compounds in models of Pseudomonas aeruginosa and Staphylococcus aureus infection. In the present work we extend this model to quantitatively corr ...[more]

PMID: 28507715

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Project description:Pasteurella multocida can invade and translocate through endothelial cells and result in vascular-system infection, which can cause severe economic losses in the poultry industry. Antibacterial therapy (especially florfenicol) plays an important part in controlling P. multocida infection. To preserve the effect of florfenicol, in vivo pharmacokinetic/pharmacodynamic (PK/PD) modeling of florfenicol against three P. multocida strains in duck was established. Then, the efficacy of the currently marketed dose, a rational dosage regimen for populations, and the PK/PD cutoff were predicted through Monte Carlo simulations (MCSs). The area under the concentration-time curve from 0 to 24 h/minimum inhibitory concentration (AUC0-24 h /MIC) was the optimal PK/PD parameter. The PK/PD surrogate values of florfenicol against P. multocida were similar using different organs as the PD target, but varied in different strains. For the florfenicol-sensitive strain 0825Y1, when the AUC0-24 h /MIC reached 117.54 and 108.19, florfenicol showed a bactericidal effect in the liver and lung, respectively. For the florfenicol-sensitive strain 0901J1, the corresponding value was 78.39 and 54.30, respectively. For the florfenicol-resistant strain JY160110, florfenicol could attain a maximum effect of 1 - log10 reduction in bacteria in the liver and lung when the AUC0-24 h /MIC reached 2.03 and 2.06, respectively. The PK/PD-based prediction for the population dose indicated a poor effect for the low end of the currently marketed dose (40 mg/kg body weight per day), but a robust effect for the high end of the currently marketed dose (60 mg/kg body weight per day) with a target attainment rate of 92.79% and 81.44% against P. multocida in mainland China and worldwide, respectively. The recommended dose optimized by MCSs was 52 mg/kg body weight in mainland China. The PK/PD cutoff of florfenicol against P. multocida at the low end and high end of the current daily dose (40 and 60 mg/kg body weight) and predicted daily dose in mainland China (52 mg/kg body weight) was 0.25, 4, and 0.5 μg/ml, respectively. These results suggested that more than one strain should be involved for PK/PD modeling and contributed to rational use of florfenicol in populations. We also provided fundamental data for determination of florfenicol breakpoints in poultry.

Dataset Information

A quantitative mechanistic PK/PD model directly connects Btk target engagement and in vivo efficacy.

Publications

A quantitative mechanistic PK/PD model directly connects Btk target engagement and <i>in vivo</i> efficacy.

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