Literature DB >> 10770759

Pharmacodynamics of glycopeptides in the mouse peritonitis model of Streptococcus pneumoniae or Staphylococcus aureus infection.

J D Knudsen1, K Fuursted, S Raber, F Espersen, N Frimodt-Moller.   

Abstract

The emergence of resistance to various antibiotics in pneumococci leaves the glycopeptides as the only antibiotics against which pneumococci have no resistance mechanism. This situation has led to a renewed interest in the use of glycopeptides. It has not yet been possible to conclude which one or more of the pharmacokinetic or pharmacodynamic (PK/PD) parameters are the most important and best predictors for the effects of treatment with glycopeptides in animal models or in humans. We used the mouse peritonitis model with immunocompetent mice and with Staphylococcus aureus and Streptococcus pneumoniae as infective organisms. A wide spectrum of different treatment regimens with vancomycin and teicoplanin was tested to study the pharmacodynamics of these drugs. In studies in which the single dose that protected 50% of lethally infected mice (ED(50)) was given as one dose or was divided into two doses, survival was significantly decreased when the dose was divided. The only statistically significant correlations between the percentage of survival of the mice after 6 days and each of the PK/PD parameters were for peak concentration (C(max))/MIC and S. aureus and for the free fraction of C(max) (C(max-free))/MIC and S. pneumoniae. For S. pneumoniae, the ED(50) for different dosing regimens increased with the number of doses given; e.g., the single-dose ED(50)s for vancomycin and teicoplanin were 0.65 and 0. 45 mg/kg, respectively, but the ED(50)s for dosing regimens with 2-h doses given for 48 h were 6.79 and 5.67 mg/kg, respectively. In experiments with 39 different vancomycin dosing regimens and 40 different teicoplanin dosing regimens against S. pneumoniae, the different PK/PD parameters were analyzed using logistic regression. The C(max-free)/MIC was one of two parameters that best explained the effect for both drugs; for vancomycin, the other important parameter was the AUC/MIC, and for teicoplanin, the other parameter was the time the free fraction of the drug is above the MIC. The effect analyzed as a function of C(max-free)/MIC disclosed thresholds with shifts from almost no effect to full effect at ratios of five to six for vancomycin and two to three for teicoplanin.

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Year:  2000        PMID: 10770759      PMCID: PMC89852          DOI: 10.1128/AAC.44.5.1247-1254.2000

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


  27 in total

1.  Activities of vancomycin and teicoplanin against penicillin-resistant pneumococci in vitro and in vivo and correlation to pharmacokinetic parameters in the mouse peritonitis model.

Authors:  J D Knudsen; K Fuursted; F Espersen; N Frimodt-Møller
Journal:  Antimicrob Agents Chemother       Date:  1997-09       Impact factor: 5.191

2.  Noncompromised penicillin-resistant pneumococcal pneumonia CBA/J mouse model and comparative efficacies of antibiotics in this model.

Authors:  K Tateda; K Takashima; H Miyazaki; T Matsumoto; T Hatori; K Yamaguchi
Journal:  Antimicrob Agents Chemother       Date:  1996-06       Impact factor: 5.191

Review 3.  Multiply-resistant pneumococcus: therapeutic problems in the management of serious infections.

Authors:  P D Lister
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1995       Impact factor: 3.267

4.  Teicoplanin pharmacokinetics in pediatric patients.

Authors:  G Dufort; C Ventura; T Olivé; J J Ortega
Journal:  Pediatr Infect Dis J       Date:  1996-06       Impact factor: 2.129

Review 5.  Teicoplanin: 10 years of clinical experience.

Authors:  M Trautmann; H Wiedeck; M Ruhnke; M Oethinger; R Marre
Journal:  Infection       Date:  1994 Nov-Dec       Impact factor: 3.553

6.  Experimental Streptococcus pneumoniae infection in mice for studying correlation of in vitro and in vivo activities of penicillin against pneumococci with various susceptibilities to penicillin.

Authors:  J D Knudsen; N Frimodt-Møller; F Espersen
Journal:  Antimicrob Agents Chemother       Date:  1995-06       Impact factor: 5.191

7.  Teichomycin: in-vitro and in-vivo evaluation in comparison with other antibiotics.

Authors:  R Pallanza; M Berti; B P Goldstein; E Mapelli; E Randisi; R Scotti; V Arioli
Journal:  J Antimicrob Chemother       Date:  1983-05       Impact factor: 5.790

Review 8.  The importance of pharmacokinetic/pharmacodynamic surrogate markers to outcome. Focus on antibacterial agents.

Authors:  J M Hyatt; P S McKinnon; G S Zimmer; J J Schentag
Journal:  Clin Pharmacokinet       Date:  1995-02       Impact factor: 6.447

9.  Association of vancomycin serum concentrations with outcomes in patients with gram-positive bacteremia.

Authors:  A E Zimmermann; B G Katona; K I Plaisance
Journal:  Pharmacotherapy       Date:  1995 Jan-Feb       Impact factor: 4.705

10.  Daptomycin versus vancomycin treatment for Staphylococcus aureus bacteremia in a murine model.

Authors:  K Smith; G Cobbs; R Dill; D Lyon; A Graves; K Avent
Journal:  Chemotherapy       Date:  1990       Impact factor: 2.544

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  24 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.  Murine immune response to a chronic Staphylococcus aureus biofilm infection.

Authors:  Ranjani Prabhakara; Janette M Harro; Jeff G Leid; Megan Harris; Mark E Shirtliff
Journal:  Infect Immun       Date:  2011-01-31       Impact factor: 3.441

3.  Late-Stage Functionalization of Platensimycin Leading to Multiple Analogues with Improved Antibacterial Activity in Vitro and in Vivo.

Authors:  Youchao Deng; Xiang Weng; Yuling Li; Meng Su; Zhongqing Wen; Xinxin Ji; Nan Ren; Ben Shen; Yanwen Duan; Yong Huang
Journal:  J Med Chem       Date:  2019-07-02       Impact factor: 7.446

Review 4.  Setting and revising antibacterial susceptibility breakpoints.

Authors:  John Turnidge; David L Paterson
Journal:  Clin Microbiol Rev       Date:  2007-07       Impact factor: 26.132

Review 5.  Augmented renal clearance: implications for antibacterial dosing in the critically ill.

Authors:  Andrew A Udy; Jason A Roberts; Robert J Boots; David L Paterson; Jeffrey Lipman
Journal:  Clin Pharmacokinet       Date:  2010       Impact factor: 6.447

6.  Risk factors for treatment failure in orthopedic device-related methicillin-resistant Staphylococcus aureus infection.

Authors:  T Ferry; I Uçkay; P Vaudaux; P François; J Schrenzel; S Harbarth; F Laurent; L Bernard; F Vandenesch; J Etienne; P Hoffmeyer; D Lew
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2009-11-28       Impact factor: 3.267

7.  Appropriate antibiotic dosage levels in the treatment of severe sepsis and septic shock.

Authors:  Fabio Silvio Taccone; Maya Hites; Marjorie Beumier; Sabino Scolletta; Frédérique Jacobs
Journal:  Curr Infect Dis Rep       Date:  2011-10       Impact factor: 3.725

8.  Exploring the collaboration between antibiotics and the immune response in the treatment of acute, self-limiting infections.

Authors:  Peter Ankomah; Bruce R Levin
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-19       Impact factor: 11.205

Review 9.  Use of vancomycin pharmacokinetic-pharmacodynamic properties in the treatment of MRSA infections.

Authors:  Christopher Giuliano; Christopher Giulano; Krystal K Haase; Ronald Hall
Journal:  Expert Rev Anti Infect Ther       Date:  2010-01       Impact factor: 5.091

Review 10.  Glycopeptide antibiotics: from conventional molecules to new derivatives.

Authors:  Françoise Van Bambeke; Yves Van Laethem; Patrice Courvalin; Paul M Tulkens
Journal:  Drugs       Date:  2004       Impact factor: 9.546

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