Abstract:Mounting antimicrobial resistance to carbapenemase-producing Klebsiella pneumoniae (CPKP) highlights the need to optimize currently available treatment options. The objective of this study was to explore alternative dosing strategies that limit the emergence of resistance to preserve the utility of last-line antibiotics by: (i) evaluating the pharmacodynamic (PD) killing activity of simulated humanized exposures to monotherapy and two-drug and three-drug combinations against CPKP bacterial isolates with differ… Show more
“…minimize emergence of resistance using dynamic in vitro models of infection. [16][17][18][19] Chloramphenicol (CHL) is a broad-spectrum antibiotic that inhibits bacterial protein synthesis by binding to the 50S ribosomal subunit, was approved for clinical use in the late 1940s, and was the first antibiotic to be manufactured synthetically on a large scale. 20 These drugs were abandoned due to their toxicities: nephrotoxicity for polymyxins and aplastic anemia for CHL.…”
Section: How Might This Change Drug Discovery Development And/or Ther...mentioning
confidence: 99%
“…Given that polymyxin B (PMB), an old antibiotic, is still effective as a last line agent against infections caused by CRKP, there is a need to identify and develop novel PMB‐based combination therapies to conserve its utility 14,15 . Our group has previously explored and evaluated PMB‐based double and triple combination therapies that maintain efficacy and minimize emergence of resistance using dynamic in vitro models of infection 16–19 . Chloramphenicol (CHL) is a broad‐spectrum antibiotic that inhibits bacterial protein synthesis by binding to the 50S ribosomal subunit, was approved for clinical use in the late 1940s, and was the first antibiotic to be manufactured synthetically on a large scale 20 .…”
Carbapenemase‐resistant Klebsiella pneumoniae (KP) resistant to multiple antibiotic classes necessitates optimized combination therapy. Our objective is to build a workflow leveraging omics and bacterial count data to identify antibiotic mechanisms that can be used to design and optimize combination regimens. For pharmacodynamic (PD) analysis, previously published static time‐kill studies (J Antimicrob Chemother 70, 2015, 2589) were used with polymyxin B (PMB) and chloramphenicol (CHL) mono and combination therapy against three KP clinical isolates over 24 h. A mechanism‐based model (MBM) was developed using time‐kill data in S‐ADAPT describing PMB‐CHL PD activity against each isolate. Previously published results of PMB (1 mg/L continuous infusion) and CHL (Cmax: 8 mg/L; bolus q6h) mono and combination regimens were evaluated using an in vitro one‐compartment dynamic infection model against a KP clinical isolate (108 CFU/ml inoculum) over 24 h to obtain bacterial samples for multi‐omics analyses. The differentially expressed genes and metabolites in these bacterial samples served as input to develop a partial least squares regression (PLSR) in R that links PD responses with the multi‐omics responses via a multi‐omics pathway analysis. PMB efficacy was increased when combined with CHL, and the MBM described the observed PD well for all strains. The PLSR consisted of 29 omics inputs and predicted MBM PD response (R2 = 0.946). Our analysis found that CHL downregulated metabolites and genes pertinent to lipid A, hence limiting the emergence of PMB resistance. Our workflow linked insights from analysis of multi‐omics data with MBM to identify biological mechanisms explaining observed PD activity in combination therapy.
“…minimize emergence of resistance using dynamic in vitro models of infection. [16][17][18][19] Chloramphenicol (CHL) is a broad-spectrum antibiotic that inhibits bacterial protein synthesis by binding to the 50S ribosomal subunit, was approved for clinical use in the late 1940s, and was the first antibiotic to be manufactured synthetically on a large scale. 20 These drugs were abandoned due to their toxicities: nephrotoxicity for polymyxins and aplastic anemia for CHL.…”
Section: How Might This Change Drug Discovery Development And/or Ther...mentioning
confidence: 99%
“…Given that polymyxin B (PMB), an old antibiotic, is still effective as a last line agent against infections caused by CRKP, there is a need to identify and develop novel PMB‐based combination therapies to conserve its utility 14,15 . Our group has previously explored and evaluated PMB‐based double and triple combination therapies that maintain efficacy and minimize emergence of resistance using dynamic in vitro models of infection 16–19 . Chloramphenicol (CHL) is a broad‐spectrum antibiotic that inhibits bacterial protein synthesis by binding to the 50S ribosomal subunit, was approved for clinical use in the late 1940s, and was the first antibiotic to be manufactured synthetically on a large scale 20 .…”
Carbapenemase‐resistant Klebsiella pneumoniae (KP) resistant to multiple antibiotic classes necessitates optimized combination therapy. Our objective is to build a workflow leveraging omics and bacterial count data to identify antibiotic mechanisms that can be used to design and optimize combination regimens. For pharmacodynamic (PD) analysis, previously published static time‐kill studies (J Antimicrob Chemother 70, 2015, 2589) were used with polymyxin B (PMB) and chloramphenicol (CHL) mono and combination therapy against three KP clinical isolates over 24 h. A mechanism‐based model (MBM) was developed using time‐kill data in S‐ADAPT describing PMB‐CHL PD activity against each isolate. Previously published results of PMB (1 mg/L continuous infusion) and CHL (Cmax: 8 mg/L; bolus q6h) mono and combination regimens were evaluated using an in vitro one‐compartment dynamic infection model against a KP clinical isolate (108 CFU/ml inoculum) over 24 h to obtain bacterial samples for multi‐omics analyses. The differentially expressed genes and metabolites in these bacterial samples served as input to develop a partial least squares regression (PLSR) in R that links PD responses with the multi‐omics responses via a multi‐omics pathway analysis. PMB efficacy was increased when combined with CHL, and the MBM described the observed PD well for all strains. The PLSR consisted of 29 omics inputs and predicted MBM PD response (R2 = 0.946). Our analysis found that CHL downregulated metabolites and genes pertinent to lipid A, hence limiting the emergence of PMB resistance. Our workflow linked insights from analysis of multi‐omics data with MBM to identify biological mechanisms explaining observed PD activity in combination therapy.
“…Double combinations that utilize a polymyxin and fosfomycin have also been investigated in vitro against polymyxin-resistant KPCKP, and the combination was able to achieve synergy in time-killing experiments (albeit at high drug concentrations) and a hollow-fiber infection model [35,36]. In vitro dynamic model [33] In vivo rabbit osteomyelitis model [32] (meropenem) + colistin + gentamicin In vivo rabbit osteomyelitis model [32] (meropenem) + polymyxin B + fosfomycin In vitro dynamic model [37] (meropenem) + colistin + tigecycline In vitro dynamic model [33] (meropenem) + colistin and/or tigecycline and/or gentamicin Retrospective clinical [34] (meropenem) + (amikacin)…”
Section: Klebsiella Pneumoniae 41 K Pneumoniae Carbapenemase-producin...mentioning
confidence: 99%
“…In vivo murine thigh model [42] Retrospective clinical [43,44] NDMKP (meropenem) + tigecycline In vitro dynamic model [45] (meropenem) + fosfomycin + polymyxin B In vitro dynamic model [37] (fosfomycin) + colistin In vitro dynamic model [46] (polymyxin B) + amikacin + aztreonam In vitro dynamic model [47] ˆDrugs were determined to be inactive if the pathogens' MIC was above the CLSI breakpoint for susceptibility, if available. Polymyxin MICs of 2 or higher were considered inactive.…”
Section: Klebsiella Pneumoniae 41 K Pneumoniae Carbapenemase-producin...mentioning
Despite the recent development of antibacterials that are active against multidrug-resistant pathogens, drug combinations are often necessary to optimize the killing of difficult-to-treat organisms. Antimicrobial combinations typically are composed of multiple agents that are active against the target organism; however, many studies have investigated the potential utility of combinations that consist of one or more antibacterials that individually are incapable of killing the relevant pathogen. The current review summarizes in vitro, in vivo, and clinical studies that evaluate combinations that include at least one drug that is not active individually against Pseudomonas aeruginosa, Klebsiella pneumoniae, Acinetobacter baumannii, or Staphylococcus aureus. Polymyxins were often included in combinations against all three of the Gram-negative pathogens, and carbapenems were commonly incorporated into combinations against K. pneumoniae and A. baumannii. Minocycline, sulbactam, and rifampin were also frequently investigated in combinations against A. baumannii, whereas the addition of ceftaroline or another β-lactam to vancomycin or daptomycin showed promise against S. aureus with reduced susceptibility to vancomycin or daptomycin. Although additional clinical studies are needed to define the optimal combination against specific drug-resistant pathogens, the large amount of in vitro and in vivo studies available in the literature may provide some guidance on the rational design of antibacterial combinations.
“…Most of the work done on the HFIM has focused on bacteria and antimicrobial testing. 11,[13][14][15] Although comprehensive literature on the use of the HFIM for performance evaluation of antimicrobial compounds exist, [16][17][18][19][20] the current literature about the applications of the HFIM to study viral infections is still lacking. This review therefore focuses on the applications of the HFIM in viral infection studies.…”
Conventional cell culture systems involve growing cells in stationary cultures in the presence of growth medium containing various types of supplements. At confluency, the cells are divided and further expanded in new culture dishes. This passage from confluent monolayer to sparse cultures does not reflect normal physiological conditions and represents quite a drastic physiological change that may affect the natural cell physiobiology. Hollow-fibre bioreactors were in part developed to overcome these limitations and since their inception, they have widely been used in production of monoclonal antibodies and recombinant proteins. These bioreactors are increasingly used to study antibacterial drug effects via simulation of in vivo pharmacokinetic profiles. The use of the hollow-fibre infection model (HFIM) in viral infection studies is less well developed and in this review we have analysed and summarized the current available literature on the use of these bioreactors, with an emphasis on viruses. Our work has demonstrated that this system can be applied for viral expansion, studies of drug resistance mechanisms, and studies of pharmacokinetic/pharmacodynamic (PK/PD) of antiviral compounds. These platforms could therefore have great applications in large-scale vaccine development, and in studies of mechanisms driving antiviral resistance, since the HFIM could recapitulate the same resistance mechanisms and mutations observed in vivo in clinic. Furthermore, some dosage and spacing regimens evaluated in the HFIM system, as allowing maximal viral suppression, are in line with clinical practice and highlight this ‘in vivo-like’ system as a powerful tool for experimental validation of in vitro-predicted antiviral activities.
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