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   <subfield code="a">Computational pharmacokinetics/pharmacodynamics of rifampin in a mouse tuberculosis infection model</subfield>
   <subfield code="h">[Elektronische Daten]</subfield>
   <subfield code="c">[Michael Lyons, Anne Lenaerts]</subfield>
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   <subfield code="a">One critical approach to preclinical evaluation of anti-tuberculosis (anti-TB) drugs is the study of correlations between drug exposure and efficacy in animal TB infection models. While such pharmacokinetic/pharmacodynamic (PK/PD) studies are useful for the identification of optimal clinical dosing regimens, they are resource intensive and are not routinely performed. A mathematical model capable of simulating the PK/PD properties of drug therapy for experimental TB offers a way to mitigate some of the practical obstacles to determining the PK/PD index that best correlates with efficacy. Here, we present a preliminary physiologically based PK/PD model of rifampin therapy in a mouse TB infection model. The computational framework integrates whole-body rifampin PKs, cell population dynamics for the host immune response to Mycobacterium tuberculosis infection, drug-bacteria interactions, and a Bayesian method for parameter estimation. As an initial application, we calibrated the model to a set of available rifampin PK/PD data and simulated a separate dose fractionation experiment for bacterial killing kinetics in the lungs of TB-infected mice. The simulation results qualitatively agreed with the experimentally observed PK/PD correlations, including the identification of area under the concentration-time curve as best correlating with efficacy. This single-drug framework is aimed toward extension to multiple anti-TB drugs in order to facilitate development of optimal combination regimens.</subfield>
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   <subfield code="a">Springer Science+Business Media New York, 2015</subfield>
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   <subfield code="a">Rifampin</subfield>
   <subfield code="2">nationallicence</subfield>
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   <subfield code="a">Modeling</subfield>
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   <subfield code="a">Lyons</subfield>
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   <subfield code="u">Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA</subfield>
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   <subfield code="u">Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA</subfield>
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   <subfield code="t">Journal of Pharmacokinetics and Pharmacodynamics</subfield>
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   <subfield code="g">42/4(2015-08-01), 375-389</subfield>
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   <subfield code="a">Metadata rights reserved</subfield>
   <subfield code="b">Springer special CC-BY-NC licence</subfield>
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