Background/Objectives: Plasmid-mediated resistance is a significant mechanism that contributes to the gradual decrease in the efficacy of antibiotics from various classes, including carbapenems. The aim of this study is to investigate the frequency of transfer of carbapenemase-encoding plasmids from K. pneumoniae to E. coli and P. aeruginosa. Methods: Matings were performed on agar with subsequent isolation of transconjugant, recipient, and donor colonies. The frequency of conjugation (CF) and minimum inhibitory concentrations (MICs) of meropenem were determined for the PCR-confirmed transconjugants. A pharmacodynamic study was conducted using a hollow-fiber infection model on E. coli transconjugant in order to evaluate its viability in the presence of therapeutic concentrations of meropenem. Results: CF for K. pneumoniae-K. pneumoniae was similar to that for K. pneumoniae-E. coli and was higher the higher was meropenem MIC of the K. pneumoniae donor. The meropenem MICs for K. pneumoniae and E. coli transconjugants were higher (0.25–4 μg/mL) compared to recipients (0.03–0.06 μg/mL). P. aeruginosa did not acquire plasmids from K. pneumoniae. In pharmacodynamic experiments, an E. coli transconjugant with MIC of 2 mg/L within the “susceptibility range”, failed to respond to meropenem treatment. Conclusions: The frequency of conjugation between K. pneumoniae and E. coli falls within a similar range. A higher permissiveness of K. pneumoniae for plasmids from K. pneumoniae, i.e., within the same species, was observed. Conjugation did not occur between K. pneumoniae and P. aeruginosa. The transconjugants with meropenem MICs with borderline susceptibility may pose a potential threat to the efficacy of meropenem.

Background/Objectives: Assessing antibiotic MICs at high bacterial counts is likely to disclose hidden bacterial resistance and the inoculum effect if present and therefore also reveal potential decreased antibiotic effectiveness. In the current study, we evaluated the predictive potential of MICs determined at high bacterial inocula to evaluate meropenem effectiveness and emergence of resistance in Klebsiella pneumoniae. Methods: Nine carbapenemase-free or carbapenemase-producing K. pneumoniae strains were exposed to meropenem in an in vitro hollow-fiber infection model (HFIM). The treatment effects were correlated with simulated antibiotic ratios of the area under the concentration–time curve (AUC) to the MIC (AUC/MIC) and to MICs determined at high inocula (AUC/MICHI). Results: Based on MICs determined at standard inocula, meropenem effects at different AUC/MIC ratios for both carbapenemase-free and carbapenemase-producing K. pneumoniae strains were stratified and could not be described by a single relationship. In contrast, when AUC/MICHI ratios were used, a single relationship with the antibiotic effect was obtained for all tested strains. Similarly, the emergence of meropenem resistance in HFIM was concordant with AUC/MICHI, but not with AUC/MIC ratios. Conclusions: MICs determined at high bacterial inocula enable the prediction of meropenem effects both for carbapenemase-free and for carbapenemase-producing K. pneumoniae strains. Also, MICs at standard and high inocula can identify carbapenemase-producing strains by revealing the inoculum effect.

Plasmid-mediated resistance is a major mechanism that contributes to the gradual decline in the effectiveness of antibiotics from different classes, including carbapenems. Antibiotics can significantly contribute to the efficiency of plasmid transfer between bacterial strains. To investigate the potential effect of an antibiotic on the efficacy of conjugative plasmid transfer, we conducted mating experiments with Klebsiella pneumoniae strains. Donor strains of K. pneumoniae that carry plasmids with blaKPC or blaOXA-48 carbapenemase genes and recipient plasmid-free K. pneumoniae strains were used in matings. Matings were conducted on the agar with or without meropenem at 1/8×, 1/4×, or 1/2×MIC against the respective recipients. In the second part of our study, we investigated the pharmacodynamic properties of meropenem against transconjugant strains of K. pneumoniae, which were obtained in the first part of this study. As a result, at a concentration equivalent to 1/8×MIC, meropenem primarily inhibited conjugation among K. pneumoniae strains, while at a concentration equal to 1/2×MIC, it facilitated conjugation. Transconjugants derived from K. pneumoniae with intermediate MICs failed to respond to simulated treatment with meropenem using prolonged infusion and a high-dose regimen. This finding suggests that such transconjugants may potentially pose a risk if involved in an infectious process.

Objectives Pharmacodynamic parameters evaluated under conditions that simulate an infection site volume and microbial load might reveal hidden risks of resistance selection and subsequent treatment failure. The study aimed to investigate the predictive potential of MICs determined at various conditions on the antimicrobial effect and emergence of resistance.Methods We assessed meropenem MICs (microdilution: 0.2 mL, 5 x 105 cfu/mL; macrodilution: 2 mL, 5 x 105 cfu/mL), MICHVs (220 mL, 5 x 105 cfu/mL), MICHIs (0.2 mL, 5 x 107 cfu/mL) and MICHVIs (220 mL, 5 x 107 cfu/mL) for five Klebsiella pneumoniae strains and analysed these values alongside the results of experiments in a dynamic in vitro model. A clinically relevant meropenem dosing regimen was simulated and the starting bacterial inocula were 106 and 108 cfu/mL.Results The effectiveness of meropenem agreed with MICHVs for the 106 cfu/mL inoculum and with MICHIs or MICHVIs for the 108 cfu/mL inoculum. Strains characterized as resistant according to these values grew during meropenem exposure, and resistant mutants were selected.Conclusions Our results suggest that MICHV-based parameters may be suitable for predicting antibacterial effects and the risk of resistance development when the inoculum is 106 cfu/mL, while MICHI- or MICHVI-based parameters are suitable for these purposes when the inoculum is 108 cfu/mL. Also, the correlation between resistance selection and the MICHI-based parameter was as high as one that corresponds with a mutant prevention concentration (MPC)-based parameter; this suggests that the MPC can be replaced by the more easily determined alternative parameter MICHI.

This study was aimed at understanding the distributions of the MICs (minimum inhibitory concentrations) of aztreonam-avibactam, ceftazidime-avibactam and meropenem with respect to Klebsiella pneumoniae isolates producing different types of carbapenemases and their combinations. K. pneumoniae isolates were collected between 2019 and 2022 from 37 hospitals. PCR was used to screen for bla(KPC)-, bla(NDM)- and bla(OXA-48)-like genes. MICs were determined by the broth microdilution method for meropenem, aztreonam-avibactam and ceftazidime-avibactam at a constant avibactam concentration of 4 mg l(-1). MIC distributions were analyzed for groups of isolates based on the identified carbapenemases including their combinations. The AZT/AVI MIC50 and MIC90 for all NDM-positive isolates were 0.25 and 0.5, respectively, and for serine-carbapenemase-only producers, they were 0.25 and 1 mg l(-1), respectively. The CZD/AVI MIC50 and MIC90 values for serine-carbapenemase-only producers were 1 and 4 mg l(-1), respectively. The AZT/AVI MIC50 and MIC90 values for co-producers and single carbapenemase producers were the same (i.e., 0.25 and 1 mg l(-1), respectively). The total proportion of meropenem-susceptible isolates (<= 8 mg l(-1)) among all the carbapenemase producers was 25.1% (31.1% among single-carbapenemase producers and 9.2% among co-producers). The results support the use of aztreonam-avibactam for the empirical treatment of infections caused by any carbapenemase producers.

Background . The minimum inhibitory concentration (MIC) does not predict the risk of antibacterial resistance development due to a small sample of tested bacteria. Minimum inhibitory concentration at an increased inoculum (MIC HI ) may become a suitable parameter for this purpose as a sample of tested bacteria is larger while the method of determination remains easy. The aim of the study was to evaluate the potential of using MIC HI as a parameter for predicting the resistance development in Klebsiella pneumoniae to aztreonam. Methods. Aztreonam MIC and MIC HI values were assessed against two strains of K. pneumoniae using the microdilution method (0.2 ml volume; inoculum of 5×10 5 and 5×10 7 CFU/ml, respectively) and compared the results with the effect of aztreonam in a dynamic in vitro model, in which aztreonam regimen of 2 grams every 8 hours as a 2-hour infusion for 5 days was simulated. Results. The efficacy of aztreonam against K. pneumoniae observed in the dynamic model was consistent with the MIC HIs values assessed based on bacterial viability. During the visual assessment, the MIC HIs values were greatly overestimated due to excessive turbidity caused by the formation of filamentous forms of bacteria exposed to aztreonam. Conclusions. The MIC HI parameter can be used to predict the development of resistance in K. pneumoniae to aztreonam when assessing the values of this parameter by the number of viable cells, but not by the visual boundary of bacterial growth.

Background: A potential strategy to maintain the efficacy of carbapenems against carbapenemase-producing Klebsiella pneumoniae (CPKP) is their combination with carbapenemase inhibitors. To address these issues, the effectiveness of a novel combination of meropenem with avibactam against CPKP was studied. Additionally, the applicability of a pharmacokinetically-based approach to antibiotic/inhibitor minimum inhibitory concentration (MIC) determinations to better predict efficacy was examined. Methods: CPKP strains were exposed to meropenem alone or in combination with avibactam in an in vitro hollow-fiber infection model. Treatment effects were correlated with simulated antibiotic and antibiotic/inhibitor combination ratios of the area under the concentration–time curve (AUC) to the MIC (AUC/MIC). All MICs were determined at standard and at high inocula; combination MICs were determined using the conventional approach with fixed avibactam concentration or using the pharmacokinetic (PK)-based approach with a fixed meropenem-to-avibactam concentration ratio, equal to the respective drug therapeutic AUC ratios. Results: Meropenem alone was not effective even against a “susceptible” CPKP strain. The addition of avibactam significantly improved both meropenem MICs and its effectiveness. The effects of meropenem alone and in combination with avibactam (merged data) correlated well with AUC/MIC ratios only when MICs were determined at high inocula and using the PK-based approach (r2 0.97); the correlation was worse with the conventional approach (r2 0.73). Conclusions: The effectiveness of meropenem/avibactam against CPKP is promising. A single “effect–AUC/MIC” relationship useful for predicting meropenem efficacy (alone or in combination with avibactam) was obtained using MICs at high inocula and combination MICs determined using a PK-based approach.

Resistance to carbapenems has become a problem due to Klebsiella pneumoniae (K. pneumoniae), harboring carbapenemases. Among them, there are isolates that are recognized as carbapenem-susceptible; however, these carbapenemase-producing strains with low meropenem minimal inhibitory concentrations (MICs) may pose a threat to public health. We aimed to investigate the impact of the ability to produce carbapenemases by a bacterial isolate on the effectiveness of meropenem in the hollow-fiber infection model. K. pneumoniae and Escherichia coli (E. coli) strains with equal meropenem MICs but differing in their ability to produce carbapenemases were used in pharmacodynamic simulations with meropenem. In addition to standard MIC determination, we assessed the MICs against tested strains at high inoculum density to test if the inoculum effect occurs. According to pharmacodynamic data, the carbapenemase-producing strains were characterized with a relatively decreased meropenem effectiveness compared to non-producers. Meanwhile, the effect of meropenem perfectly correlated with the meropenem exposure expressed as the DOSE/MIC ratio when high-inoculum (HI) MICs but not standard-inoculum (SI) MICs were used for regression analysis. It could be concluded that meropenem-susceptible carbapenemase-producing strains may not respond to meropenem therapy; the antibiotic inoculum effect (IE) may have a prognostic value to reveal the meropenem-susceptible Enterobacterales that harbor carbapenemase genes.

The minimal inhibitory concentration (MIC) is conventionally used to define in vitro levels of susceptibility or resistance of a specific bacterial strain to an antibiotic and to predict its clinical efficacy. Along with MIC, other measures of bacteria resistance exist: the MIC determined at high bacterial inocula (MICHI) that allow the estimation of the occurrence of inoculum effect (IE) and the mutant prevention concentration, MPC. Together, MIC, MICHI and MPC represent the bacterial "resistance profile". In this paper, we provide a comprehensive analysis of such profiles of K. pneumoniae strains that differ by meropenem susceptibility, ability to produce carbapenemases and specific carbapenemase types. In addition, we have analyzed inter-relations between the MIC, MICHI and MPC for each tested K. pneumoniae strain. Low IE probability was detected with carbapenemase-non-producing K. pneumoniae, and high IE probability was detected with those that were carbapenemase-producing. MICs did not correlate with the MPCs; significant correlation was observed between the MICHIs and the MPCs, indicating that these bacteria/antibiotic characteristics display similar resistance properties of a given bacterial strain. To determine the possible resistance-related risk due to a given K. pneumoniae strain, we propose determining the MICHI. This can more or less predict the MPC value of the particular strain.

The development and implementation of diagnostic methods that allow rapid assessment of antibiotic activity against pathogenic microorganisms is an important step towards antibiotic therapy optimization and increase in the likelihood of successful treatment outcome. To determine whether fluorescence microscopy with acridine orange can be used for rapid assessment (≤8 h) of the meropenem activity against Klebsiella pneumoniae, six isolates including three OXA-48-carbapenemase-producers were exposed to meropenem at different levels of its concentration (0.5 × MIC, 1 × MIC, 8 or 16 µg/mL) and the changes in the viable counts within 24 h were evaluated using fluorescence microscopy and a control culture method. The approach was to capture the regrowth of bacteria as early as possible. Within the first 8 h fluorescence microscopy allowed to categorize 5 out of 6 K. pneumoniae strains by their meropenem susceptibility (based on the MIC breakpoint of 8 mg/L), but meropenem activity against three isolates, two of which were OXA-48-producers, could not be accurately determined at 8 h. The method proposed in our study requires improvement in terms of accelerating the bacterial growth and regrowth for early meropenem MIC determination. Volume-dependent elevation in meropenem MICs against OXA-48-producers was found and this phenomenon should be studied further.

The emergence of bacteria resistant to beta-lactam/beta-lactamase inhibitor combinations is insufficiently studied, wherein the role of the inoculum effect (IE) in decreased efficacy is unclear. To address these issues, 5-day treatments with doripenem and doripenem/relebactam combination at different ratios of the agents were simulated in a hollow-fiber dynamic model against carbapenemase-producing K. pneumoniae at standard and high inocula. Minimal inhibitory concentrations (MICs) of doripenem alone and in the presence of relebactam at two inocula were determined. Combination MICs were tested using traditional (fixed relebactam concentration) and pharmacokinetic-based approach (fixed doripenem-to-relebactam concentration ratio equal to the therapeutic 24-h area under the concentration-time curve (AUC) ratio). In all experiments, resistant subpopulations were noted, but combined simulations reduced their numbers. With doripenem, the IE was apparent for both K. pneumoniae isolates in combined treatments for one strain. The pharmacokinetic-based approach to combination MIC estimation compared to traditional showed stronger correlation between DOSE/MIC and emergence of resistance. These results support (1) the constraint of relebactam combined with doripenem against the emergence of resistance and IE; (2) the applicability of a pharmacokinetic-based approach to estimate carbapenem MICs in the presence of an inhibitor to predict the IE and to describe the patterns of resistance occurrence.

The inoculum effect (IE) is a well-known phenomenon with beta-lactams. At the same time, the IE has not been extensively studied with carbapenem/carbapenemase inhibitor combinations. The antibiotic-to-inhibitor concentration ratio used in susceptibility testing can influence the in vitro activity of the combination. To explore the role of these factors, imipenem/relebactam and doripenem/relebactam MICs were estimated against six Klebsiella pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae strains at standard inocula (SI) and high inocula (HI) by two methods: with a fixed relebactam concentration and with a fixed, pharmacokinetic-based carbapenem-to-relebactam concentration ratio. The combination MICs at HI, compared to SI, increased with most of the tested strains. However, the IE occurred with only two K. pneumoniae strains regardless of the MIC testing method. The relationship between the MICs at SI and the respective inoculum-induced MIC changes was observed when the MICs were estimated at pharmacokinetic-based carbapenem-to-relebactam concentration ratios. Thus, (1) IE was observed with both carbapenem/relebactam combinations regardless of the MIC testing method; however, IE was not observed frequently among tested K. pneumoniae strains. (2) At HI, carbapenem/relebactam combination MICs increased to levels associated with carbapenem resistance. (3) Combination MICs determined at pharmacokinetic-based carbapenem-to-inhibitor concentration ratios predict susceptibility elevations at HI in KPC-producing K. pneumoniae.

The rapid spread of gram-negative bacteria resistance to carbapenems due to the production of carbapenemases requires new treatment options. The activity of carbapenem antibiotic biapenem, recently registered in Russia, against producers of various carbapenemases was studied in comparison with other antibiotics of this group. Among NDM-type carbapenemase producers, 77.8% demonstrated clinical susceptibility to biapenem; 50.3% and 21.1% of isolates were susceptible to meropenem and imipenem, respectively. Among the producers of OXA-48-type carbapenemases, 82,6%, 60,9%, and 65,2% of isolates demonstrated susceptibility to biapenem, imipenem, and meropenem, respectively.Producers of KPC-type carbapenemases were 100% resistant to all carbapenems. The introduction of biapenem will significantly expand the possibilities of treating severe infections caused by carbapenemase producers.

OBJECTIVES To explore whether linezolid/daptomycin combinations can restrict Staphylococcus aureus resistance and if this restriction is associated with changes in the mutant prevention concentrations (MPCs) of the antibiotics in combination, the enrichment of resistant mutants was studied in an in vitro dynamic model. METHODS Two MRSA strains, vancomycin-intermediate resistant ATCC 700699 and vancomycin-susceptible 2061 (both susceptible to linezolid and daptomycin), and their linezolid-resistant mutants selected by passaging on antibiotic-containing medium were used in the study. MPCs of antibiotics in combination were determined at a linezolid-to-daptomycin concentration ratio (1:2) that corresponds to the ratio of 24 h AUCs (AUC24s) actually used in the pharmacokinetic simulations. Each S. aureus strain was supplemented with respective linezolid-resistant mutants (mutation frequency 10-8) and treated with twice-daily linezolid and once-daily daptomycin, alone and in combination, simulated at therapeutic and sub-therapeutic AUC24s. RESULTS Numbers of linezolid-resistant mutants increased at therapeutic and sub-therapeutic AUC24s, whereas daptomycin-resistant mutants were enriched only at sub-therapeutic AUC24 in single drug treatments. Linezolid/daptomycin combinations prevented the enrichment of linezolid-resistant S. aureus and restricted the enrichment of daptomycin-resistant mutants. The pronounced anti-mutant effects of the combinations were attributed to lengthening the time above MPC of both linezolid and daptomycin as their MPCs were lowered. CONCLUSIONS The present study suggests that (i) the inhibition of S. aureus resistant mutants using linezolid/daptomycin combinations can be predicted by MPCs determined at pharmacokinetically derived antibiotic concentration ratios and (ii) T>MPC is a reliable predictor of the anti-mutant efficacy of antibiotic combinations as studied using in vitro dynamic models.

Relevance. The tendency to a decrease in sensitivity of bacterial agents to old antibiotics, as well as the slowdown in creation of new medications, dictate the need to develop effective approaches to combat bacterial resistance.Aim. Evaluation of the applicability of a pharmacokinetically-based approach to predicting anti-mutant effectiveness of combined therapy with doripenem and levofloxacin against gram-negative bacteria Pseudomonas aeruginosa.Material and methods. A collection strain of Pseudomonas aeruginosa was used in the study. The values of MPC (mutant prevention concentration) of the combination of doripenem and levofloxacin were evaluated at a ratio of their concentrations equal to therapeutic ratios of the area under the pharmacokinetic curve in the in vitro dynamic model. 5-day treatments with clinical doses of doripenem and levofloxacin individually and in combination were simulated. Bacteria-containing medium was sampled during the experiments and plated on agar media containing 2MIC of each antibiotic.Results. The MPCs of doripenem and levofloxacin decreased 4 times when used in combination compared to MPC values when used separately. P.aeruginosa population was enriched with resistant mutants during monotherapy with each medication; the number of the bacteria did not decrease or even increased by the end of observation period. The use of doripenem/levofloxacin combination completely prevented development of resistance to both drugs in P.aeruginosa. The observed anti-mutant effect of antibiotic combination was consistent with higher (compared to monotherapy) values of the time during which the concentration of the antibiotic exceeded MPC (T>MPC).Conclusion. The anti-mutant effectiveness of combined therapy with doripenem and levofloxacin increased with the decrease in the values of MPC of antibiotics when used simultaneously, which consequently led to the increase in the values of T>MPC. Obtained results confirm the applicability of a pharmacokinetically-based approach to the estimation of MPC of combined antibiotics for predicting anti-mutant effectiveness of combination therapy in the treatment of infections caused by gram-negative bacteria.

To explore whether combined treatments with daptomycin and gentamicin can prevent the development of Staphylococcus aureus resistance, and whether the possible restriction is associated with changes in antibiotic mutant prevention concentrations (MPCs), the enrichment of daptomycin- and gentamicin-resistant mutants was studied by simulating 5-day single and combined treatments in an in vitro dynamic model. The MPCs of the antibiotics in the combination were determined at concentration ratios equal to the ratios of 24 h areas, under the concentration–time curve (AUCs) of the antibiotics, as simulated in pharmacodynamic experiments. The MPCs of both daptomycin and gentamicin decreased in the presence of each other; this led to an increase in the time when antibiotic concentrations were above the MPC (T>MPC). The increases in T>MPCs were concurrent with increases of the anti-mutant effects of the combined antibiotics. When anti-mutant effects of the antibiotics in single and combined treatments were plotted against the T>MPCs, significant sigmoid relationships were obtained. These findings suggest that (1) daptomycin–gentamicin combinations prevent the development of S. aureus resistance to each antibiotic; (2) the anti-mutant effects of antibiotic combinations can be predicted using MPCs determined at pharmacokinetic-based antibiotic concentration ratios; (3) T>MPC is a reliable predictor of the anti-mutant efficacy of antibiotic combinations.

Traditionally, the antibacterial activity of β-lactam antibiotics in the presence of β-lactamase inhibitors is determined at the fixed inhibitor concentration. This traditional approach does not consider the ratio of antibiotic-to-inhibitor concentrations achieved in humans. To explore whether an alternative pharmacokinetically based approach to estimate MICs in combinations is predictive of antimicrobial efficacy, the effects of imipenem and doripenem alone and in combination with relebactam were studied in time-kill experiments against carbapenemase-producing Klebsiella pneumoniae. The carbapenem-to-relebactam concentration ratios in time-kill assays were equal to the therapeutic 24-h area under the concentration-time curve (AUC) ratios of the drugs (1.5/1). The simulated levels of carbapenem and relebactam were equal to their concentrations achieved in humans. When effects of combined regimens were plotted against respective C/MICs, a sigmoid relationship was obtained only with MICs determined by pharmacokinetically based method. The effectiveness of both carbapenems in the presence of relebactam was comparable by the results of time-kill experiments. These findings suggest that (1) antibiotic/inhibitor MICs determined at a pharmacokinetically based concentration ratio allow an adequate assessment of carbapenem susceptibility in carbapenemase-producing K. pneumoniae strains and can be used to predict antibacterial effects; (2) in time-kill experiments, the effects of imipenem and doripenem in the presence of relebactam are comparable.