Literature DB >> 8913449

Pharmacodynamic effects of sub-MICs of benzylpenicillin against Streptococcus pyogenes in a newly developed in vitro kinetic model.

E Löwdin1, I Odenholt, S Bengtsson, O Cars.   

Abstract

The pharmacodynamic effects of benzylpenicillin against Streptococcus pyogenes were studied in a new in vitro kinetic model in which bacterial outflow was prevented by a filter membrane. Following the administration of an initial dose of antibiotic, decreasing concentrations were produced by dilution of the medium. A magnetic stirrer was placed above the filter to avoid blockage of the membrane and to ensure homogeneous mixing of the culture. Repeated samplings were easily provided through a silicon diaphragm. Streptococci were exposed to a single dose corresponding to 1.5, 10, 100, or 500 x the MIC of benzylpenicillin and also to an initial concentration of 10 x the MIC of benzylpenicillin, followed by exposure to a repeated dose after 8 h yielding 10 or 1.5 x the MIC. Experiments were also performed with 10 x the MIC of benzylpenicillin with a half-life of 3 h or an initial half-life of 1.1 h that was altered to 3 h at the time point at which the antibiotic concentrations and MIC intersected. Bacterial killing and regrowth were followed by determining viable counts. The post-MIC effect (PME) was defined as the difference in time for the numbers of CFU in the culture vessel to increase 1 log10 CFU/ml, calculated from the numbers obtained at the time when the antibiotic concentration had declined to the MIC, and the corresponding time for a control culture, grown in a glass tube without antibiotic, to increase 1 log10 CFU/ml. To determine how much of the PME was attributable to subinhibitory concentrations, penicillinase was added to a part of the culture drawn from the flask at the time when the antibiotic concentration had fallen to the MIC. The longest PME was found in the experiments in which the half-life was extended from 1.1 to 3 h at the MIC. This illustrated that sub-MICs are sufficient to prevent regrowth. However, when the half-life was 3 h during the whole experiment, the PME was shorter, indicating that when concentrations decline slowly penicillin-binding proteins will already be present in amounts sufficient for regrowth at the time when the MIC is reached. The PME may prove to be a more reliable factor than the in vitro postantibiotic effect or postantibiotic sub-MIC effect for the design of optimal dosing schedules, since the PME, like the in vivo postantibiotic effect, includes the effects of subinhibitory concentrations and therefore better reflects the clinical situation with fluctuating antibiotic concentrations.

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Year:  1996        PMID: 8913449      PMCID: PMC163560     

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  29 in total

1.  Artifacts in dilution pharmacokinetic models caused by adherent bacteria.

Authors:  R Haag; P Lexa; I Werkhäuser
Journal:  Antimicrob Agents Chemother       Date:  1986-05       Impact factor: 5.191

2.  In vitro model simulating the form of exposure of bacteria to antimicrobial drugs encountered in infection.

Authors:  M J Al-Asadi; D Greenwood; F O'Grady
Journal:  Antimicrob Agents Chemother       Date:  1979-07       Impact factor: 5.191

3.  An artificial capillary in vitro kinetic model of antibiotic bactericidal activity.

Authors:  S H Zinner; M Husson; J Klastersky
Journal:  J Infect Dis       Date:  1981-12       Impact factor: 5.226

4.  Postantibiotic suppression of bacterial growth.

Authors:  R W Bundtzen; A U Gerber; D L Cohn; W A Craig
Journal:  Rev Infect Dis       Date:  1981 Jan-Feb

5.  New in vitro kinetic model for evaluating bactericidal efficacy of antibiotics.

Authors:  T Murakawa; H Sakamoto; T Hirose; M Nishida
Journal:  Antimicrob Agents Chemother       Date:  1980-09       Impact factor: 5.191

6.  An improved method to study antibacterial activity of antibiotics in an in vitro model simulating serum levels.

Authors:  P M Shah
Journal:  Methods Find Exp Clin Pharmacol       Date:  1980-08

7.  Penetration of ampicillin and dicloxacillin into tissue cage fluid in rabbits: relation to serum and tissue protein binding.

Authors:  O Cars; C Henning; S E Holm
Journal:  Scand J Infect Dis       Date:  1981

8.  An in vitro model for the study of antibacterial dosage regimen design.

Authors:  R D Toothaker; P G Welling; W A Craig
Journal:  J Pharm Sci       Date:  1982-08       Impact factor: 3.534

9.  Persistent effect of antibiotics on Staphylococcus aureus after exposure for limited periods of time.

Authors:  P J McDonald; W A Craig; C M Kunin
Journal:  J Infect Dis       Date:  1977-02       Impact factor: 5.226

10.  The recovery period following exposure of bacteria to penicillins.

Authors:  D A Wilson; G N Rolinson
Journal:  Chemotherapy       Date:  1979       Impact factor: 2.544

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  20 in total

Review 1.  Issues in pharmacokinetics and pharmacodynamics of anti-infective agents: kill curves versus MIC.

Authors:  Markus Mueller; Amparo de la Peña; Hartmut Derendorf
Journal:  Antimicrob Agents Chemother       Date:  2004-02       Impact factor: 5.191

2.  Pharmacodynamic model to describe the concentration-dependent selection of cefotaxime-resistant Escherichia coli.

Authors:  Sara K Olofsson; Patricia Geli; Dan I Andersson; Otto Cars
Journal:  Antimicrob Agents Chemother       Date:  2005-12       Impact factor: 5.191

3.  Pharmacodynamic effects of telavancin against methicillin-resistant and methicillin-susceptible Staphylococcus aureus strains in the presence of human albumin or serum and in an in vitro kinetic model.

Authors:  Inga Odenholt; Elisabeth Löwdin; Otto Cars
Journal:  Antimicrob Agents Chemother       Date:  2007-07-09       Impact factor: 5.191

4.  Duration and clinical relevance of postantibiotic effect in relation to the dosing interval.

Authors:  J G den Hollander; K Fuursted; H A Verbrugh; J W Mouton
Journal:  Antimicrob Agents Chemother       Date:  1998-04       Impact factor: 5.191

5.  Predicting in vitro antibacterial efficacy across experimental designs with a semimechanistic pharmacokinetic-pharmacodynamic model.

Authors:  Elisabet I Nielsen; Otto Cars; Lena E Friberg
Journal:  Antimicrob Agents Chemother       Date:  2011-01-31       Impact factor: 5.191

6.  Pharmacokinetic/pharmacodynamic (PK/PD) indices of antibiotics predicted by a semimechanistic PKPD model: a step toward model-based dose optimization.

Authors:  Elisabet I Nielsen; Otto Cars; Lena E Friberg
Journal:  Antimicrob Agents Chemother       Date:  2011-08-01       Impact factor: 5.191

7.  Pharmacokinetic-pharmacodynamic model for gentamicin and its adaptive resistance with predictions of dosing schedules in newborn infants.

Authors:  Ami F Mohamed; Elisabet I Nielsen; Otto Cars; Lena E Friberg
Journal:  Antimicrob Agents Chemother       Date:  2011-10-28       Impact factor: 5.191

8.  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

Review 9.  In vitro pharmacokinetic/pharmacodynamic models in anti-infective drug development: focus on TB.

Authors:  Pavan K Vaddady; Richard E Lee; Bernd Meibohm
Journal:  Future Med Chem       Date:  2010-08       Impact factor: 3.808

10.  Intracellular activity of antibiotics against Staphylococcus aureus in a mouse peritonitis model.

Authors:  Anne Sandberg; Jonas H R Hessler; Robert L Skov; Jens Blom; Niels Frimodt-Møller
Journal:  Antimicrob Agents Chemother       Date:  2009-02-17       Impact factor: 5.191

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