Literature DB >> 21505469

PK-PD modeling of β-lactam antibiotics: in vitro or in vivo models?

Bibiana Verlindo de Araujo1, Andrea Diniz, Eduardo Célia Palma, Cândida Buffé, Teresa Dalla Costa.   

Abstract

A modified E(max)-pharmacokinetic-pharmacodynamic (PK-PD) model was previously proposed in literature for describing the antimicrobial activity of β-lactam antibiotics based on in vitro experiments. However, bacteria behave differently in vitro and in vivo. Thus, the aims of this study were to model the killing effect of piperacillin (PIP) against Escherichia coli on immunocompromised infected rats using this model and to compare the parameters obtained in vitro and in vivo for the same bacteria/drug combination. The PK-PD parameters determined in vitro and in vivo were as follows: generation rate constant of 1.30 ± 0.10 and 0.76 ± 0.20 h(-1), maximum killing effect of 3.11 ± 0.27 and 1.38 ± 0.20 h(-1) and concentration to produce 50% of the maximum effect of 5.44 ± 0.03 and 1.31 ± 0.27 μg ml(-1), respectively. The comparison between the in vitro and in vivo parameters was not straightforward and had to take into consideration the intrinsic differences of the models involved. So far, the main application of the PK-PD model evaluated is for the comparison of different antimicrobial agent's potency and efficacy, under equivalent conditions.

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Year:  2011        PMID: 21505469     DOI: 10.1038/ja.2011.29

Source DB:  PubMed          Journal:  J Antibiot (Tokyo)        ISSN: 0021-8820            Impact factor:   2.649


  9 in total

Review 1.  The immune response and antibacterial therapy.

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Journal:  Med Microbiol Immunol       Date:  2014-09-05       Impact factor: 3.402

2.  Population Pharmacokinetic Modeling as a Tool To Characterize the Decrease in Ciprofloxacin Free Interstitial Levels Caused by Pseudomonas aeruginosa Biofilm Lung Infection in Wistar Rats.

Authors:  Bruna G S Torres; Victória E Helfer; Priscila M Bernardes; Alexandre José Macedo; Elisabet I Nielsen; Lena E Friberg; Teresa Dalla Costa
Journal:  Antimicrob Agents Chemother       Date:  2017-06-27       Impact factor: 5.191

Review 3.  Optimizing Antimicrobial Therapy by Integrating Multi-Omics With Pharmacokinetic/Pharmacodynamic Models and Precision Dosing.

Authors:  Hui-Yin Yow; Kayatri Govindaraju; Audrey Huili Lim; Nusaibah Abdul Rahim
Journal:  Front Pharmacol       Date:  2022-06-23       Impact factor: 5.988

4.  Population pharmacokinetic modeling of the unbound levofloxacin concentrations in rat plasma and prostate tissue measured by microdialysis.

Authors:  Felipe K Hurtado; Benjamin Weber; Hartmut Derendorf; Guenther Hochhaus; Teresa Dalla Costa
Journal:  Antimicrob Agents Chemother       Date:  2013-11-11       Impact factor: 5.191

5.  Response of a clinical Escherichia coli strain to repeated cefquinome exposure in a piglet tissue-cage model.

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6.  PKPD Modeling of the Inoculum Effect of Acinetobacter baumannii on Polymyxin B in vivo.

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Journal:  Front Pharmacol       Date:  2022-03-16       Impact factor: 5.810

Review 7.  Pharmacokinetic/Pharmacodynamic Modeling and Application in Antibacterial and Antifungal Pharmacotherapy: A Narrative Review.

Authors:  Laiz Campos Pereira; Marcelo Aguiar de Fátima; Valdeene Vieira Santos; Carolina Magalhães Brandão; Izabel Almeida Alves; Francine Johansson Azeredo
Journal:  Antibiotics (Basel)       Date:  2022-07-22

8.  Correlating Drug-Target Kinetics and In vivo Pharmacodynamics: Long Residence Time Inhibitors of the FabI Enoyl-ACP Reductase.

Authors:  Fereidoon Daryaee; Andrew Chang; Johannes Schiebel; Yang Lu; Zhuo Zhang; Kanishk Kapilashrami; Stephen G Walker; Caroline Kisker; Christoph A Sotriffer; Stewart L Fisher; Peter J Tonge
Journal:  Chem Sci       Date:  2016-05-25       Impact factor: 9.825

Review 9.  Predicting Antimicrobial Activity at the Target Site: Pharmacokinetic/Pharmacodynamic Indices versus Time-Kill Approaches.

Authors:  Wisse van Os; Markus Zeitlinger
Journal:  Antibiotics (Basel)       Date:  2021-12-04
  9 in total

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