Building Optimal Three-Drug Combination Chemotherapy Regimens To Eradicate Mycobacterium tuberculosis in Its Slow-Growth Acid Phase.

Mycobacterium tuberculosis metabolic state affects the response to therapy. Quantifying the effect of antimicrobials in the acid and nonreplicating metabolic phases of M. tuberculosis growth will help to optimize therapy for tuberculosis. As a brute-force approach to all possible drug combinations against M. tuberculosis in all different metabolic states is impossible, we have adopted a model-informed strategy to accelerate the discovery. Using multiple concentrations of each drug in time-kill studies, we examined single drugs and two- and three-drug combinations of pretomanid, moxifloxacin, and bedaquiline plus its active metabolite against M. tuberculosis in its acid-phase metabolic state. We used a nonparametric modeling approach to generate full distributions of interaction terms between pretomanid and moxifloxacin for susceptible and less susceptible populations. From the model, we could predict the 95% confidence interval of the simulated total bacterial population decline due to the 2-drug combination regimen of pretomanid and moxifloxacin and compare this to observed declines with 3-drug regimens. We found that the combination of pretomanid and moxifloxacin at concentrations equivalent to average or peak human concentrations effectively eradicated M. tuberculosis in its acid growth phase and prevented emergence of less susceptible isolates. The addition of bedaquiline as a third drug shortened time to total and less susceptible bacterial suppression by 8 days compared to the 2-drug regimen, which was significantly faster than the 2-drug kill.

Emergence of Resistance to Ceftazidime-Avibactam in a Pseudomonas aeruginosa Isolate Producing Derepressed blaPDC in a Hollow-Fiber Infection Model.

Ceftazidime (CAZ)-avibactam (AVI) is a ß-lactam/ß-lactamase inhibitor combination with activity against type A and type C ß-lactamases. Resistance emergence has been seen, with multiple mechanisms accounting for the resistance. We performed four experiments in the dynamic hollow-fiber infection model, delineating the linkage between drug exposure and both the rate of bacterial kill and resistance emergence by all mechanisms. The Pseudomonas aeruginosa isolate had MICs of 1.0 mg/liter (CAZ) and 4 mg/liter (AVI). We demonstrated that the time at ≥4.0 mg/liter AVI was linked to the rate of bacterial kill. Linkage to resistance emergence/suppression was more complex. In one experiment in which CAZ and AVI administration was intermittent and continuous, respectively, and in which AVI was given in unitary steps from 1 to 8 mg/liter, AVI at up to 3 mg/liter allowed resistance emergence, whereas higher values did not. The threshold value was 3.72 mg/liter as a continuous infusion to counterselect resistance (AVI area under the concentration-time curve [AUC] of 89.3 mg · h/liter). The mechanism involved a 7-amino-acid deletion in the Ω-loop region of the Pseudomonas-derived cephalosporinase (PDC) ß-lactamase. Further experiments in which CAZ and AVI were both administered intermittently with regimens above and below the AUC of 89.3 mg · h/liter resulted in resistance in the lower-exposure groups. Deletion mutants were not identified. Finally, in an experiment in which paired exposures as both continuous and intermittent infusions were performed, the lower value of 25 mg · h/liter by both profiles allowed selection of deletion mutants. Of the five instances in which these mutants were recovered, four had a continuous-infusion profile. Both continuous-infusion administration and low AVI AUC exposures have a role in selection of this mutation.

Building Optimal Three-Drug Combination Chemotherapy Regimens.

Multidrug therapy is often required. Examples include antiviral therapy, nosocomial infections, and, most commonly, anti-Mycobacterium tuberculosis therapy. Our laboratory previously identified a mathematical approach to identify 2-drug regimens with a synergistic or additive interaction using a full factorial study design. Our objective here was to generate a method to identify an optimal 3-drug therapy. We studied M. tuberculosis isolate H37Rv in log-phase growth in flasks. Pretomanid and moxifloxacin were chosen as the base 2-drug regimen. Bedaquiline (plus M2 metabolite) was chosen as the third drug for evaluation. Total bacterial burden and bacterial burden less-susceptible to study drugs were enumerated. A large mathematical model was fit to all the data. This allowed extension to evaluation of the 3-drug regimen by employing a Monte Carlo simulation. Pretomanid plus moxifloxacin demonstrated excellent bacterial kill and suppressed amplification of less-susceptible pathogens. Total bacterial burden was driven to extinction in 3 weeks in 6 of 9 combination therapy evaluations. Only the lowest pretomanid/moxifloxacin exposures in combination did not extinguish the bacterial burden. No combination regimen allowed resistance amplification. Generation of 95% credible intervals about estimates of the interaction parameters α (αs, αr-p, and αr-m) by bootstrapping showed the interaction was near synergistic. The addition of bedaquiline/M2 metabolite was evaluated by forming a 95% confidence interval regarding the decline in bacterial burden. The addition of bedaquiline/M2 metabolite shortened the time to eradication by 1 week and was significantly different. A model-based system approach to evaluating combinations of 3 agents shows promise to rapidly identify the most promising combinations that can then be trialed.

Pharmacodynamics of Ceftazidime plus Avibactam against KPC-2-Bearing Isolates of Klebsiella pneumoniae in a Hollow Fiber Infection Model.

Ceftazidime-avibactam (CAZ/AVI) combines ceftazidime with a diazabicyclooctane non-ß-lactam ß-lactamase inhibitor. This has potent inhibitory activity against KPC-type enzymes. We studied activity of clinically relevant regimens of CAZ/AVI against two KPC-2-bearing Klebsiella pneumoniae isolates (sequence type 258 recovered sequentially from the same patient) with and without ompK36 mutations in a hollow fiber infection model. The baseline total bacterial burden exceeded 109 CFU. For both isolates, there was early multi-log CFU/ml reductions in the bacterial burden for all regimens. Bacterial subpopulations with reduced susceptibilities to CAZ/AVI were isolated only from the no-treatment control arms. All CAZ/AVI regimens resulted in undetectable colony counts between days 6 and 8. At day 10, the total volume of each CAZ/AVI arm was plated, with no organisms recovered from any regimen, documenting complete eradication. A population model was fit to avibactam concentrations and total colony count outputs. The model fit was acceptable and demonstrated a large kill rate constant (Kkill = 6.29 h-1) and a relatively low avibactam concentration at which kill rate was half maximal (C50 = 2.19 mg/liter), concordant with the observed bacterial burden decline. A threshold analysis identified time > 4 mg/liter of avibactam as the index most closely linked to bacterial burden decline. Given the clinical outcomes seen with KPC-bearing organisms and the toxicities that occur when patients are treated with currently available polymyxins, drugs such as CAZ/AVI should have a prominent place in early therapy.