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. 2015 Dec;59(12):7833-6.
doi: 10.1128/AAC.01717-15. Epub 2015 Sep 21.

Impact of Glycopeptide Resistance in Staphylococcus aureus on the Dalbavancin In Vivo Pharmacodynamic Target

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Impact of Glycopeptide Resistance in Staphylococcus aureus on the Dalbavancin In Vivo Pharmacodynamic Target

A Lepak et al. Antimicrob Agents Chemother. 2015 Dec.

Abstract

Dalbavancin is a novel lipoglycopeptide with activity against Staphylococcus aureus, including glycopeptide-resistant isolates. The in vivo investigation reported here tested the effects of this antibiotic against seven S. aureus isolates with higher MICs, including several vancomycin-intermediate strains. Results of 1-log kill and 2-log kill were achieved against seven and six of the isolates, respectively. The mean free-drug area under the concentration-time curve (fAUC)/MIC values for net stasis, 1-log kill, and 2-log kill were 27.1, 53.3, and 111.1, respectively.

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Figures

FIG 1
FIG 1
Plasma pharmacokinetics of dalbavancin in mice following intraperitoneal administration. Each symbol represents the mean and standard deviation from three mice. The drug concentration values presented represent total (protein-bound and unbound) drug. The AUC values represent 0 to infinity. Cmax, maximal drug concentration; T1/2, half-life.
FIG 2
FIG 2
In vivo dose-dependent effects of dalbavancin against seven select S. aureus isolates in a neutropenic mouse thigh model. (A) Dalbavancin exposure expressed at dose level (mg/kg/12 h). (B) Exposure expressed as fAUC/MIC. Each symbol represents the mean and standard deviation from four thighs. Dalbavancin exposure is expressed as the 24-h fAUC/MIC. The burden of organisms was measured at the start and end of therapy. The horizontal dashed line at 0 represents the burden of organisms in the thighs of mice at the start of therapy. Data points below the line represent killing, and points above the line represent growth. R2 represents the coefficient of determination. The 50% effective dose (ED50) represents the AUC/MIC associated with 50% of the maximal effect (Emax), and N is the slope of the relationship or the Hill coefficient. The line drawn through the data points is the best-fit line based on the sigmoidal Emax formula.

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