Pharmacokinetic drug interactions of antimicrobial drugs:a systematic review on oxazolidinones, rifamycines, macrolides, fluoroquinolones, and Beta-lactams

Like any other drug, antimicrobial drugs are prone to pharmacokinetic drug interactions. These drug interactions are a major concern in clinical practice as they may have an effect on efficacy and toxicity. This article provides an overview of all published pharmacokinetic studies on drug interactions of the commonly prescribed antimicrobial drugs oxazolidinones, rifamycines, macrolides, fluoroquinolones, and beta-lactams, focusing on systematic research. We describe drug-food and drug-drug interaction studies in humans, affecting antimicrobial drugs as well as concomitantly administered drugs. Since knowledge about mechanisms is of paramount importance for adequate management of drug interactions, the most plausible underlying mechanism of the drug interaction is provided when available. This overview can be used in daily practice to support the management of pharmacokinetic drug interactions of antimicrobial drugs

Prediction of volume of distribution in preclinical species and humans: application of simplified physiologically based algorithms

<p></p><p>The present study was aimed at developing simplified physiologically based semi-mechanistic algorithms to predict V_ss and interspecies scaling factors to predict tissue-K_ps which require minimum input parameters, diminish the computing complexity and have better predictability.</p><p>V_ss of 86 structurally diverse compounds in preclinical species and 27 compounds in humans were predicted using only lung- and muscle-K_p as inputs. Interspecies scaling factor (s) were developed based on fold-differences in individual tissue lipid contents, relative organ blood flow: relative organ weight ratio between two species. Tissue-K_ps were predicted for 34 compounds using the newly developed interspecies scaling factors.</p><p>The predicted-to-experimental V_ss values for all the 113 compounds was 1.3 ± 0.9 with 83% values being within a factor of two. The tissue-K_ps in rat, dog and human were predicted using experimental tissue-K_p data in rodents and interspecies scaling factors and here also, 83% of tissue-K_ps were within two-fold of the experimental values.</p><p>In conclusion, simplified physiologically based algorithms have been developed to predict both volume of distribution and tissue-K_ps, in which required input parameters as well as computing complexity have been noticeably reduced.</p><p></p> <p>The present study was aimed at developing simplified physiologically based semi-mechanistic algorithms to predict V_ss and interspecies scaling factors to predict tissue-K_ps which require minimum input parameters, diminish the computing complexity and have better predictability.</p> <p>V_ss of 86 structurally diverse compounds in preclinical species and 27 compounds in humans were predicted using only lung- and muscle-K_p as inputs. Interspecies scaling factor (s) were developed based on fold-differences in individual tissue lipid contents, relative organ blood flow: relative organ weight ratio between two species. Tissue-K_ps were predicted for 34 compounds using the newly developed interspecies scaling factors.</p> <p>The predicted-to-experimental V_ss values for all the 113 compounds was 1.3 ± 0.9 with 83% values being within a factor of two. The tissue-K_ps in rat, dog and human were predicted using experimental tissue-K_p data in rodents and interspecies scaling factors and here also, 83% of tissue-K_ps were within two-fold of the experimental values.</p> <p>In conclusion, simplified physiologically based algorithms have been developed to predict both volume of distribution and tissue-K_ps, in which required input parameters as well as computing complexity have been noticeably reduced.</p