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bioRxiv · 10.1101/2020.12.21.405464

Simultaneous in vitro simulation of multiple antimicrobial agents with different elimination half-lives in a pre-clinical infection model

Abstract

Combination therapy for treatment of multi-drug resistant bacterial infections is becoming increasingly common. In vitro testing of drug combinations under realistic pharmacokinetic conditions is needed before a corresponding combination is eventually put into clinical use. The current standard for in vitro simulation of the pharmacokinetics of two drugs with distinct elimination half-lives cannot be extended for combinations of three or more agents, posing a growing need. To address that need we develop a general method to design an in vitro model for simultaneous simulation of the kinetics of an arbitrary number of N drugs with different half-lives. The method developed entails two possible configurations: (a) An in-series configuration, which generalizes the standard two-drug design for N drugs and offers additional flexibility even for two drugs, and (b) an in-parallel configuration, which is new, and offers yet additional flexibility over the in-series configuration. Corresponding design equations for sizing and operation of each configuration are rigorously developed for immediate use by experimenters. These equations were used for experimental verification using a combination of three antibiotics with distinctly different half-lives (meropenem, ceftazidime, and levofloxacin). While experimental verification involved antibiotics, the method is applicable to any anti-infective or anti-cancer drugs with distinct elimination pharmacokinetics. With increasing importance of in vitro simulation of the kinetics of an arbitrary number of drugs in combination, the methods developed here are an important new tool for the design of such in vitro models.

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BibTeXRIS

Kesisoglou, I., Eales, B., Ledesma, K. R., Merlau, P. R., Tam, V. H., Wang, W., Nikolaou, M.. 2020-12-22. Simultaneous in vitro simulation of multiple antimicrobial agents with different elimination half-lives in a pre-clinical infection model. https://doi.org/10.1101/2020.12.21.405464

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