Literature DB >> 21359155

In vitro pharmacokinetic/pharmacodynamic models in anti-infective drug development: focus on TB.

Pavan K Vaddady1, Richard E Lee, Bernd Meibohm.   

Abstract

For rapid anti-tuberculosis (TB) drug development in vitro pharmacokinetic/pharmacodynamic (PK/PD) models are useful in evaluating the direct interaction between the drug and the bacteria, thereby guiding the selection of candidate compounds and the optimization of their dosing regimens. Utilizing in vivo drug-clearance profiles from animal and/or human studies and simulating them in an in vitro PK/PD model allows the in-depth characterization of antibiotic activity of new and existing antibacterials by generating time–kill data. These data capture the dynamic interplay between mycobacterial growth and changing drug concentration as encountered during prolonged drug therapy. This review focuses on important PK/PD parameters relevant to anti-TB drug development, provides an overview of in vitro PK/PD models used to evaluate the efficacy of agents against mycobacteria and discusses the related mathematical modeling approaches of time–kill data. Overall, it provides an introduction to in vitro PK/PD models and their application as critical tools in evaluating anti-TB drugs.

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Year:  2010        PMID: 21359155      PMCID: PMC3042695          DOI: 10.4155/fmc.10.224

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  71 in total

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Review 2.  Pharmacokinetic and pharmacodynamic issues in the treatment of mycobacterial infections.

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3.  Neutrophils are the predominant infected phagocytic cells in the airways of patients with active pulmonary TB.

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Journal:  Chest       Date:  2009-09-11       Impact factor: 9.410

4.  Two compartment kinetic model with multiple artificial capillary units.

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Journal:  J Antimicrob Chemother       Date:  1985-01       Impact factor: 5.790

5.  Mathematical corrections for bacterial loss in pharmacodynamic in vitro dilution models.

Authors:  S Keil; B Wiedemann
Journal:  Antimicrob Agents Chemother       Date:  1995-05       Impact factor: 5.191

6.  Comparisons of Staphylococcus aureus grown in vitro or in vivo.

Authors:  D L Watson; J A Prideaux
Journal:  Microbiol Immunol       Date:  1979       Impact factor: 1.955

7.  Isoniazid pharmacokinetics-pharmacodynamics in an aerosol infection model of tuberculosis.

Authors:  Ramesh Jayaram; Radha K Shandil; Sheshagiri Gaonkar; Parvinder Kaur; B L Suresh; B N Mahesh; R Jayashree; Vrinda Nandi; Sowmya Bharath; E Kantharaj; V Balasubramanian
Journal:  Antimicrob Agents Chemother       Date:  2004-08       Impact factor: 5.191

Review 8.  Proof of concept: performance testing in models.

Authors:  W A Craig
Journal:  Clin Microbiol Infect       Date:  2004-04       Impact factor: 8.067

9.  Pharmacokinetics-pharmacodynamics of rifampin in an aerosol infection model of tuberculosis.

Authors:  Ramesh Jayaram; Sheshagiri Gaonkar; Parvinder Kaur; B L Suresh; B N Mahesh; R Jayashree; Vrinda Nandi; Sowmya Bharat; R K Shandil; E Kantharaj; V Balasubramanian
Journal:  Antimicrob Agents Chemother       Date:  2003-07       Impact factor: 5.191

10.  Assessment of effects of protein binding on daptomycin and vancomycin killing of Staphylococcus aureus by using an in vitro pharmacodynamic model.

Authors:  M W Garrison; K Vance-Bryan; T A Larson; J P Toscano; J C Rotschafer
Journal:  Antimicrob Agents Chemother       Date:  1990-10       Impact factor: 5.191

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  17 in total

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Journal:  J Antimicrob Chemother       Date:  2018-02-01       Impact factor: 5.790

Review 2.  Translational PK/PD of anti-infective therapeutics.

Authors:  Chetan Rathi; Richard E Lee; Bernd Meibohm
Journal:  Drug Discov Today Technol       Date:  2016-10-28

3.  A Diffusion-Based and Dynamic 3D-Printed Device That Enables Parallel in Vitro Pharmacokinetic Profiling of Molecules.

Authors:  Sarah Y Lockwood; Jayda E Meisel; Frederick J Monsma; Dana M Spence
Journal:  Anal Chem       Date:  2016-01-15       Impact factor: 6.986

4.  Computational pharmacokinetics/pharmacodynamics of rifampin in a mouse tuberculosis infection model.

Authors:  Michael A Lyons; Anne J Lenaerts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-05-31       Impact factor: 2.745

5.  Model-Based Exposure-Response Assessment for Spectinamide 1810 in a Mouse Model of Tuberculosis.

Authors:  Santosh Wagh; Chetan Rathi; Pradeep B Lukka; Keyur Parmar; Zaid Temrikar; Jiuyu Liu; Michael S Scherman; Richard E Lee; Gregory T Robertson; Anne J Lenaerts; Bernd Meibohm
Journal:  Antimicrob Agents Chemother       Date:  2021-08-23       Impact factor: 5.191

Review 6.  Applications of pharmacometrics in the clinical development and pharmacotherapy of anti-infectives.

Authors:  Ashit Trivedi; Richard E Lee; Bernd Meibohm
Journal:  Expert Rev Clin Pharmacol       Date:  2013-03       Impact factor: 5.045

7.  Computational pharmacology of rifampin in mice: an application to dose optimization with conflicting objectives in tuberculosis treatment.

Authors:  Michael A Lyons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-08-31       Impact factor: 2.745

Review 8.  PK/PD models in antibacterial development.

Authors:  Tony Velkov; Phillip J Bergen; Jaime Lora-Tamayo; Cornelia B Landersdorfer; Jian Li
Journal:  Curr Opin Microbiol       Date:  2013-07-18       Impact factor: 7.934

9.  Polymyxin B in Combination with Enrofloxacin Exerts Synergistic Killing against Extensively Drug-Resistant Pseudomonas aeruginosa.

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Review 10.  Drug permeation and metabolism in Mycobacterium tuberculosis: Prioritising local exposure as essential criterion in new TB drug development.

Authors:  Lloyd Tanner; Paolo Denti; Lubbe Wiesner; Digby F Warner
Journal:  IUBMB Life       Date:  2018-06-22       Impact factor: 3.885

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