AI Article Synopsis
- The study investigates the pharmacokinetics and pharmacodynamics (PK/PD) of pazufloxacin, a drug effective against a bacterium associated with hospital infections.
- The research involves creating a mouse infection model and measuring pazufloxacin levels using high-performance liquid chromatography to establish its effectiveness.
- Findings suggest that specific AUC/MIC and C/MIC ratios can optimize dosing regimens, which may help prevent the spread of nosocomial infections.
Article Abstract
The bacterium is known to be associated with nosocomial infections around the world. Pazufloxacin, a potent DNA gyrase inhibitor, is known to be an effective drug candidate. However, it has not been clarified whether the pharmacokinetic (PK)/pharmacodynamic (PD) of pazufloxacin was effective against . . Herein, we demonstrated that the PK/PD index of pazufloxacin against . infection is used to optimize the dosing regiments. We constructed an in vivo infection model by infecting . into the thigh of a mouse to determine the PD, and we measured the serum concentration of pazufloxacin to construct the PK model using high-performance liquid chromatography. The therapeutic efficacy of pazufloxacin was correlated with the ratio of the area under the free concentration time curve at 24 h to the minimum inhibitory concentration (AUC/MIC), and the maximum free concentration to the MIC (C/MIC). Each contribution rate (R) was 0.72 and 0.65, respectively, whereas the time at which the free drug concentration remained above the MIC (R = 0.28). The target value of pazufloxacin AUC/MIC for stasis was 46.1, for 1 log it was 63.8, and for 2 log it was 100.8. Moreover, C/MIC for stasis was 5.5, for 1 log it was 7.1, and for 2 log it was 10.8. We demonstrated that the in vivo concentration-dependent activity of pazufloxacin was effective against the . infection, and successfully made the PK/PD model sufficiently bactericidal. The PK/PD model will be beneficial in preventing the spread of nosocomial infections.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312304 | PMC |
| http://dx.doi.org/10.3390/antibiotics11070982 | DOI Listing |
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