Kimberly R. Ledesma

In Vitro Activity of MK-7655, a Novel β-Lactamase Inhibitor, in Combination with Imipenem against Carbapenem-Resistant Gram-Negative Bacteria

ABSTRACT Carbapenem-resistant bacteria represent a significant treatment challenge due to the lack of active antimicrobials available. MK-7655 is a novel β-lactamase inhibitor under clinical development. We investigated the combined killing activity of imipenem and MK-7655 against four imipenem-resistant bacterial strains, using a mathematical model previously evaluated in our laboratory. Time-kill studies (TKS) were conducted with imipenem and MK-7655 against a KPC-2-producing Klebsiella pneumoniae isolate (KP6339) as well as 3 Pseudomonas aeruginosa isolates (PA24226, PA24227, and PA24228) with OprD porin deletions and overexpression of AmpC. TKS were performed using 25 clinically achievable concentration combinations in a 5-by-5 array. Bacterial burden at 24 h was determined in triplicate by quantitative culture and mathematically modeled using a three-dimensional response surface. Mathematical model assessments were evaluated experimentally using clinically relevant dosing regimens of imipenem, with or without MK-7655, in a hollow-fiber infection model (HFIM). The combination of imipenem and MK-7655 was synergistic for all strains. Interaction indices were as follows: for KP6339, 0.50 (95% confidence interval [CI], 0.42 to 0.58); for PA24226, 0.60 (95% CI, 0.58 to 0.62); for PA24227, 0.70 (95% CI, 0.66 to 0.74); and for PA24228, 0.55 (95% CI, 0.49 to 0.61). In the HFIM, imipenem plus MK-7655 considerably reduced the bacterial burden at 24 h, while failure with imipenem alone was seen against all isolates. Sustained suppression of bacterial growth at 72 h was achieved with simulated doses of 500 mg imipenem plus 500 mg MK-7655 in 2 (KP6339 and PA24227) strains, and it was achieved in an additional strain (PA24228) when the imipenem dose was increased to 1,000 mg. Additional studies are being conducted to determine the optimal dose and combinations to be used in clinical investigations.

Temporal Interplay between Efflux Pumps and Target Mutations in Development of Antibiotic Resistance in Escherichia coli

ABSTRACT The emergence of resistance presents a debilitating change in the management of infectious diseases. Currently, the temporal relationship and interplay between various mechanisms of drug resistance are not well understood. A thorough understanding of the resistance development process is needed to facilitate rational design of countermeasure strategies. Using an in vitro hollow-fiber infection model that simulates human drug treatment, we examined the appearance of efflux pump (acrAB) overexpression and target topoisomerase gene (gyrA and parC) mutations over time in the emergence of quinolone resistance in Escherichia coli. Drug-resistant isolates recovered early (24 h) had 2- to 8-fold elevation in the MIC due to acrAB overexpression, but no point mutations were noted. In contrast, high-level (≥64× MIC) resistant isolates with target site mutations (gyrA S83L with or without parC E84K) were selected more readily after 120 h, and regression of acrAB overexpression was observed at 240 h. Using a similar dosing selection pressure, the emergence of levofloxacin resistance was delayed in a strain with acrAB deleted compared to the isogenic parent. The role of efflux pumps in bacterial resistance development may have been underappreciated. Our data revealed the interplay between two mechanisms of quinolone resistance and provided a new mechanistic framework in the development of high-level resistance. Early low-level levofloxacin resistance conferred by acrAB overexpression preceded and facilitated high-level resistance development mediated by target site mutation(s). If this interpretation is correct, then these findings represent a paradigm shift in the way quinolone resistance is thought to develop.

Pharmacodynamic Modeling of Aminoglycosides against Pseudomonas aeruginosa and Acinetobacter baumannii: Identifying Dosing Regimens To Suppress Resistance Development

ABSTRACT To facilitate optimal dosing regimen design, we previously developed a mathematical model using time-kill study data to predict the responses of Pseudomonas aeruginosa to various pharmacokinetic profiles of meropenem and levofloxacin. In this study, we extended the model to predict the activities of gentamicin and amikacin exposures against P. aeruginosa and Acinetobacter baumannii, respectively. The input data were from a time-kill study with 107 CFU/ml of bacteria at baseline. P. aeruginosa ATCC 27853 was exposed to gentamicin (0 to 16× MIC; MIC = 2 mg/liter), and A. baumannii ATCC BAA 747 was exposed to amikacin (0 to 32× MIC; MIC = 4 mg/liter) for 24 h. Using the estimates of the best-fit model parameters, bacterial responses to various fluctuating aminoglycoside exposures (half-life, 2.5 h) over 72 h were predicted via computer simulation. The computer simulations were subsequently validated using an in vitro hollow-fiber infection model with similar aminoglycoside exposures. A significant initial reduction in the bacterial burden was predicted for all gentamicin exposures examined. However, regrowth over time due to resistance emergence was predicted for regimens with a maximum concentration of the drug (Cmax)/MIC (dosing frequency) of 4 (every 8 h [q8h]), 12 (q24h), and 36 (q24h). Sustained suppression of bacterial populations was forecast with a Cmax/MIC of 30 (q12h). Similarly, regrowth and suppression of A. baumannii were predicted and experimentally verified with a three-dimensional response surface. The mathematical model was reasonable in predicting extended bacterial responses to various aminoglycoside exposures qualitatively, based on limited input data. Our approach appears promising as a decision support tool for dosing regimen selection for antimicrobial agents.

Pharmacokinetics and renal disposition of polymyxin B in an animal model.

ABSTRACT The increasing prevalence of multidrug-resistant Gram-negative infections has led to the resurgence of systemic polymyxin B, but little is known about its pharmacokinetics. The objective of this study was to characterize the pharmacokinetics and renal disposition of polymyxin B. Eight female Sprague-Dawley rats (weight, 225 to 250 g) were administered a single intravenous polymyxin B dose (4 mg/kg of body weight). Serial serum samples were collected and assayed for major polymyxin B components using a validated ultraperformance liquid chromatography-tandem mass spectrometry method. The best-fit pharmacokinetic parameters of each component were derived and compared using one-way analysis of variance. Cumulative urine was also collected daily for 48 h and assayed for polymyxin B. Kidney drug concentrations were measured at 6 h (n = 3) and 48 h (n = 3) after the same dose. Additionally, three rats were administered 2 doses of intravenous polymyxin B (4 mg/kg) 7 days apart. Serial serum samples were collected pre- and post-renal insufficiency (induced by uranyl nitrate) and assayed for polymyxin B. The pharmacokinetic parameters of the major components did not appear to be significantly different (P > 0.05). Less than 1% of the dose was recovered unchanged in urine collected over 48 h following administration. Therapeutic drug concentrations persisted in kidney tissue at 48 h. The post-renal insufficiency to pre-renal insufficiency ratio of the area under the serum concentration-time curve from time zero to infinity was 1.33 ± 0.04. Polymyxin B components appear to have similar pharmacokinetics. Polymyxin B preferentially persists in kidneys, which suggests a selective uptake process in renal cells. A mechanism(s) other than renal excretion could be involved in polymyxin B elimination, and dosing adjustment in renal insufficiency may not be necessary.

Effect of multidrug resistance-conferring mutations on the fitness and virulence of Pseudomonas aeruginosa

BACKGROUND Multidrug resistance has become a quandary in the treatment of bacterial infections. The effect of resistance mutations and the fitness cost on the pathogenicity of Pseudomonas aeruginosa is not well established. The objective of this study was to examine the impact of multidrug resistance on the fitness and virulence of P. aeruginosa. METHODS Fourteen P. aeruginosa strains with various resistance mechanisms were used. In vitro growth of these isolates was investigated in full-strength and 0.25-strength Mueller-Hinton broth (MHB). Exponential growth rates were estimated from serial bacterial burden over 24 h. In vitro growth of two multidrug-resistant strains (PAO1ΔmexRΔoprD and PA9019) was studied when each was grown in co-culture with wild-type strain PAO1. In vivo growth was compared between PAO1 and PAO1ΔmexRΔopD using a murine pneumonia model; virulence over 10 days was studied in six isolates. RESULTS Significant reduction in growth rate was observed in selected mutants (P < 0.01). PAO1 out-competed PAO1ΔmexRΔoprD and PA9019 in vitro, and in vivo growth of PAO1 was faster than PAO1ΔmexRΔoprD. Compared with PAO1, PAO1ΔmexR and PAO1ΔoprD showed a slight reduction in mortality rate; significantly lower mortality was seen in PAO1ΔmexRΔoprD (P < 0.01). However, virulence of PA9019 was not significantly different from that of PAO1. CONCLUSIONS Specific resistance mutations were associated with fitness cost in P. aeruginosa, and accumulation of such mutations was associated with a reduction in virulence. However, it was difficult to predict the impact in clinical isolates. Knowledge of multidrug resistance mechanisms and compensatory mutations would likely be helpful.

Assessment of Antimicrobial Combinations for Klebsiella pneumoniae Carbapenemase–Producing K. pneumoniae

BACKGROUND The prevalence of bla(KPC) among gram-negative bacteria continues to increase worldwide. Limited treatment options exist for this multidrug-resistant phenotype, often necessitating combination therapy. We investigated the in vitro and in vivo efficacy of multiple antimicrobial combinations. METHODS Two clinical strains of Klebsiella pneumoniae carbapenemase (KPC)-producing K. pneumoniae were studied. The killing activities of six 2-agent combinations of amikacin, doripenem, levofloxacin, and rifampin were quantitatively assessed using a validated mathematical model. Combination time-kill studies were conducted using clinically relevant concentrations; observed bacterial burdens were modeled using 3-dimensional response surfaces. Selected combinations were further validated in a neutropenic murine pneumonia model, using human-like dosing exposures. RESULTS The most enhanced killing effect in time-kill studies was seen with amikacin plus doripenem. Compared with placebo controls, this combination resulted in significant reduction of the bacterial burden in tissue at 24 hours, along with prolonged animal survival. In contrast, amikacin plus levofloxacin was found to be antagonistic in time-kill studies, showing inferior animal survival, as predicted. CONCLUSIONS Our modeling approach appeared to be robust in assessing the effectiveness of various combinations for KPC-producing isolates. Amikacin plus doripenem was the most effective combination in both in vitro and in vivo infection models. Empirical selection of combinations against KPCs may result in antagonism and should be avoided.

Novel Modeling Framework To Guide Design of Optimal Dosing Strategies for β-Lactamase Inhibitors

ABSTRACT The scarcity of new antibiotics against drug-resistant bacteria has led to the development of inhibitors targeting specific resistance mechanisms, which aim to restore the effectiveness of existing agents. However, there are few guidelines for the optimal dosing of inhibitors. Extending the utility of mathematical modeling, which has been used as a decision support tool for antibiotic dosing regimen design, we developed a novel mathematical modeling framework to guide optimal dosing strategies for a beta-lactamase inhibitor. To illustrate our approach, MK-7655 was used in combination with imipenem against a clinical isolate of Klebsiella pneumoniae known to produce KPC-2. A theoretical concept capturing fluctuating susceptibility over time was used to define a novel pharmacodynamic index (time above instantaneous MIC [T>MICi]). The MK-7655 concentration-dependent MIC reduction was characterized by using a modified sigmoid maximum effect (Emax)-type model. Various dosing regimens of MK-7655 were simulated to achieve escalating T>MICi values in the presence of a clinical dose of imipenem (500 mg every 6 h). The effectiveness of these dosing exposures was subsequently validated by using a hollow-fiber infection model (HFIM). An apparent trend in the bacterial response was observed in the HFIM with increasing T>MICi values. In addition, different dosing regimens of MK-7655 achieving a similar T>MICi (69%) resulted in comparable bacterial killing over 48 h. The proposed framework was reasonable in predicting the in vitro activity of a novel beta-lactamase inhibitor, and its utility warrants further investigations.

Quantitative Assessment of Combination Antimicrobial Therapy against Multidrug-Resistant Acinetobacter baumannii

ABSTRACT Treatment of multidrug-resistant bacterial infections poses a therapeutic challenge to clinicians; combination therapy is often the only viable option for multidrug-resistant infections. A quantitative method was developed to assess the combined killing abilities of antimicrobial agents. Time-kill studies (TKS) were performed using a multidrug-resistant clinical isolate of Acinetobacter baumannii with escalating concentrations of cefepime (0 to 512 mg/liter), amikacin (0 to 256 mg/liter), and levofloxacin (0 to 64 mg/liter). The bacterial burden data in single and combined (two of the three agents with clinically achievable concentrations in serum) TKS at 24 h were mathematically modeled to provide an objective basis for comparing various antimicrobial agent combinations. Synergy and antagonism were defined as interaction indices of <1 and >1, respectively. A hollow-fiber infection model (HFIM) simulating various clinical (fluctuating concentrations over time) dosing exposures was used to selectively validate our quantitative assessment of the combined killing effect. Model fits in all single-agent TKS were satisfactory (r2 > 0.97). An enhanced combined overall killing effect was seen in the cefepime-amikacin combination (interactive index, 0.698; 95% confidence interval [CI], 0.675 to 0.722) and the cefepime-levofloxacin combination (interactive index, 0.929; 95% CI, 0.903 to 0.956), but no significant difference in the combined overall killing effect for the levofloxacin-amikacin combination was observed (interactive index, 0.994; 95% CI, 0.982 to 1.005). These assessments were consistent with observations in HFIM validation studies. Our method could be used to objectively rank the combined killing activities of two antimicrobial agents when used together against a multidrug-resistant A. baumannii isolate. It may offer better insights into the effectiveness of various antimicrobial combinations and warrants further investigations.

Quantitative Assessment of Combination Antimicrobial Therapy against Multidrug-Resistant Bacteria in a Murine Pneumonia Model

BACKGROUND Combination antimicrobial therapy is clinically used as a last-resort strategy to control multidrug-resistant bacterial infections. However, selection of antibiotics is often empirical, and conventional assessment of combined drug effect has not been correlated to clinical outcomes. Here, we report a quantitative method to assess combined killing of antimicrobial agents against 2 multidrug-resistant bacteria. METHODS Combined time-kill studies were performed using clinically achievable concentrations for each 2-agent combination against clinical isolates of Acinetobacter baumannii and Pseudomonas aeruginosa. Bacterial burden observed at 24 h was mathematically modeled using a 3-dimensional response surface. Subsequently, a neutropenic murine pneumonia model with simulated clinical dosing exposures was used to validate our quantitative assessment of combined killing. RESULTS Different antimicrobial combinations were found to have varying efficacy against the multidrug-resistant bacteria. As predicted by our quantitative method, cefepime plus amikacin was found to be the most superior combination, which was evidenced by a reduction in tissue bacterial burden and prolonged survival of infected animals. CONCLUSIONS The consistency between the predictions of the mathematical model and in vivo observations substantiated the robustness of our quantitative method. These data highlighted a novel and promising method to guide rational selection of antimicrobial combination in the clinical setting.

Assessment of Minocycline and Polymyxin B Combination against Acinetobacter baumannii

ABSTRACT Antimicrobial resistance among Acinetobacter baumannii is increasing worldwide, often necessitating combination therapy. The clinical utility of using minocycline with polymyxin B is not well established. In this study, we investigated the activity of minocycline and polymyxin B against 1 laboratory isolate and 3 clinical isolates of A. baumannii. Minocycline susceptibility testing was performed with and without an efflux pump inhibitor, phenylalanine-arginine β-naphthylamide (PAβN). The intracellular minocycline concentration was determined with and without polymyxin B (0.5 μg/ml). Time-kill studies were performed over 24 h using approximately 106 CFU/ml of each strain with clinically relevant minocycline concentrations (2 μg/ml and 8 μg/ml), with and without polymyxin B (0.5 μg/ml). The in vivo efficacy of the combination was assessed in a neutropenic murine pneumonia model. Infected animals were administered minocycline (50 mg/kg), polymyxin B (10 mg/kg), or both to achieve clinically equivalent exposures in humans. A reduction in the minocycline MIC (≥4×) was observed in the presence of PAβN. The intracellular concentration and in vitro bactericidal effect of minocycline were both enhanced by polymyxin B. With 2 minocycline-susceptible strains, the bacterial burden in lung tissue at 24 h was considerably reduced by the combination compared to monotherapy with minocycline or polymyxin B. In addition, the combination prolonged survival of animals infected with a minocycline-susceptible strain. Polymyxin B increased the intracellular concentration of minocycline in bacterial cells and enhanced the bactericidal activity of minocycline, presumably due to efflux pump disruption. The clinical utility of this combination should be further investigated.