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Optimizing hollow-fiber-based pharmacokinetic assay via chemical stability study to account for inaccurate simulated drug clearance of rifampicin
Authors:Lee Sun New  Tze Peng Lim  Jing Wen Oh  Gavin Jia Sheng Cheah  Andrea L Kwa  Eric Chun Yong Chan
Institution:1. Department of Pharmacy, National University of Singapore, 18 Science Drive 4, Singapore, 117543, Singapore
3. MSD Translational Medicine Research Centre Singapore, 8 Biomedical Grove, #04-01/05, Neuros Building, Singapore, 138665, Singapore
2. Department of Pharmacy, Singapore General Hospital, Outram Road, Singapore, 169069, Singapore
4. Taiho Pharma Singapore Pte Ltd, 390 Havelock Road, #06-07, King’s Centre, Singapore, 169662, Singapore
Abstract:With increasing multidrug resistance coupled to a poor development pipeline, clinicians are exploring antimicrobial combinations to improve treatment outcomes. In vitro hollow-fiber infection model (HFIM) is employed to simulate human in vivo drug clearance and investigate pharmacodynamic synergism of antibiotics. Our overarching aim was to optimize the HFIM-based pharmacokinetic (PK) assay by using rifampicin and polymyxin B as probe drugs. An ultrapressure liquid chromatography tandem mass spectrometry method was validated for the quantification of rifampicin and polymyxin B components. In vitro profiling studies demonstrated that the experimental PK profiles of polymyxin B monotherapy were well correlated with the human population PK data while monotherapy with rifampicin failed to achieve the expected maximum plasma concentration. Chemical stability studies confirmed polymyxin B was stable in broth at 37 °C up to 12 h while rifampicin was unstable under the same conditions over 12 and 80 h. The calculated mean clearance of rifampicin due to chemical degradation was 0.098 ml/min accounting for 12.2 % of its clinical total clearance (CL?=?0.8 ml/min) based on population PK data. Our novel finding reinforces the importance to optimize HFIM-based PK assay by performing chemical stability study so as to account for potential discrepancy between experimental and population PK profiles of antimicrobial agents.
Figure
Optimizing hollow-fiber-based pharmacokinetic assay
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