In vitro activities of the novel ceragenin CSA
Transcription
In vitro activities of the novel ceragenin CSA
Microbial pathogens and strategies for combating them: science, technology and education (A. Méndez-Vilas, Ed.) ____________________________________________________________________________________________ In vitro activities of the novel ceragenin CSA-13, alone or in combination with colistin and other antibiotics against Pseudomonas aeruginosa strains isolated from cystic fibrosis patients Cagla BOZKURT-GUZEL1, Paul B. SAVAGE2, Ayse Alev GERCEKER1 1 Department of Pharmaceutical Microbiology, Faculty of Pharmacy, Istanbul University, Beyazit, Istanbul, 34116, Turkey Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah, 84602, USA 2 Background Cystic fibrosis (CF) is an autosomal-recessive, life-shortening disease caused by a defect in the CF transmembrane conductance regulator (CFTR) gene encoding the CFTR chloride channel protein. The physiopathologic changes in the lungs of these patients triggers the development of pulmonary infections caused by various microorganisms, most commonly by Pseudomonas aeruginosa, and 80 % of patients become chronically infected with P. aeruginosa over their life times. As chronic infections are difficult to treat, attempts have been made to discover new antimicrobial agents targeting novel sites that may circumvent resistance. Recently, a series of cationic derivatives of cholic acid have been synthesized and have been found to have properties that may make them useful antimicrobial agents. The ceragenins, designed to mimic the activities of antimicrobial peptides, are a new class of antimicrobial agent. Among them CSA-13, a cationic steroid molecule, mimics the activity of naturally occuring antimicrobial peptides. Methods MICs and MBCs were determined by microbroth dilution technique. Combinations were assessed using the chequerboard technique. The bactericidal activity of CSA-13 in combination with colistin was measured using the timekill curve (TKC) method was used for two strains. Results The MIC90 values of CSA-13, colistin, tobramycin and ciprofloxacin were 2 mg/L, 1 mg/L, 1 mg/L and 2 mg/L, respectively. The MBCs were equal to or two-fold greater than those of the MICs. With a FIC index of ≤ 0.5 as borderline, synergistic interactions were mostly seen with CSA-13-colistin combination (54 %). No antagonism was observed. The results of TKC analysis demonstrated rapid bactericidal activity of CSA-13 and synergism with colistin , in one strain early synergy was achieved. Conclusion CSA-13 appears to be a good candidate in the treatment of P. aeruginosa strains in CF patients. Future studies should be performed to correlate its safety, efficacy and pharmacokinetic parameters of this molecule. Keywords CSA-13, colistin, Pseudomonas aeruginosa, combination, cystic fibrosis 1. Introduction Cystic fibrosis (CF) is an autosomal-recessive, life-shortening disease caused by a defect in the CF transmembrane conductance regulator (CFTR) gene encoding the CFTR chloride channel protein [1]. The physiopathologic changes in the lungs of these patients triggers the development of pulmonary infections caused by various microorganisms, most commonly by Pseudomonas aeruginosa, and 80 % of patients become chronically infected with P. aeruginosa over their life times [2]. As chronic infections are difficult to treat, attempts have been made to discover new antimicrobial agents targeting novel sites that may circumvent resistance. One frequently studied target is the bacterial membrane. This is an appealing target, given that most structural elements are conserved and resistance to membrane-targeting antibiotics would require major changes in the membrane composition, which may influence the permeability barrier. Most antimicrobial peptides display broad-spectrum antibacterial activities and target the bacterial membrane. However, many antimicrobial peptides are difficult to synthesize and purify due to their complexity and size [3]. In addition, antimicrobial peptides can be substrates for proteases, which limit their in vivo half-lives [4]. Consequently, development of non-peptide mimics of antimicrobial peptides may provide a means of using the antimicrobial strategies evolved over eons without the disadvantages of peptide therapeutics. Recently, a series of cationic derivatives of cholic acid have been synthesized and have been found to have properties that may make them useful antimicrobial agents. The ceragenins, designed to mimic the activities of antimicrobial peptides, are a new class of antimicrobial agent. Ceragenins are not peptide based, are not salt sensitive, and are relatively simple to prepare and purify on a large scale [5]. Among them, CSA-13 which stands for cationic steroidal antimicrobial is a lead ceragenin and is highly active against Gram-positive and Gram-negative bacteria. MIC determinations against common Gram-positive bacteria, anaerobes as well as P. aeruginosa has demonstrated that CSA-13 displays a broad spectrum of activity. Recent reports have shown that synergistic effects were observed in several clinically isolated bacterial strains when CSA-13 and other ceragenins were combined with several clinically used antibiotics [6-8]. Therefore, the presence of this synergistic effect makes the ceragenins potentially valuable in antimicrobial chemotherapy. In the setting of increasing resistance and diminishing therapeutic options, the ‘old’ antibiotic colistin (polymyxin E) is now being used more extensively, especially in CF. It was first isolated in 1947 and became available for clinical use © FORMATEX 2013 1715 Microbial pathogens and strategies for combating them: science, technology and education (A. Méndez-Vilas, Ed.) ____________________________________________________________________________________________ in 1959. However, it was replaced in the 1970s by antibiotics considered less toxic [9]. Notably, the recent reuse of polymyxins has not been associated with such high rates of toxicity as reported when these agents were first introduced into clinical practice. It should be highlighted that the dosages of polymyxins used in most of the studies published in the old literature were considerably higher compared to the current recommended dosages. In fact, several reported cases of polymyxin-induced toxicity were associated with overdose. Thus, this may account for the observed difference in the incidence of polymyxin-induced toxicity noted between the old and recently published studies [10]. With the emergence of Gram negative bacteria resistant to most antibiotics, intereset in colistin has been renewed and recently in vitro and in vivo studies have concluded that colistin has been successfully used alone and in combination for the treatment of infections caused by P. aeruginosa and Acinetobacter baumannii strains [11-13]. There are no current published studies evaluating the interactions between CSA-13 and colistin against P. aeruginosa strains isolated from CF patients. Therefore, the purpose of this study was to evaluate the in vitro activities of CSA-13 alone and in combination with colistin, tobramycin and ciprofloxacin against 50 P. aeruginosa strains isolated from CF patients. 2. Materials and methods 2.1. Bacterial isolates Fifty non-duplicate strains of P. aeruginosa recently isolated from CF patients were obtained from sputum and throat secretion specimens submitted to the Clinical Microbiology Laboratories of Istanbul University, Istanbul Faculty of Medicine. All strains were identified by the API 20 NE System (bioMerieux Vitek, Marcy l'Etoile, France). Six strains were identified as mucoid strains. Two strains were selected for the time-kill analysis; PA1 (non-mucoid strain, MIC values of CSA-13, colistin, tobramycin and ciprofloxacin: 4 mg/L, 0.5 mg/L, 1 mg/L, 8 mg/L, respectively) and PA2 (mucoid strain, MIC values of CSA-13, colistin, tobramycin and ciprofloxacin: 2 mg/L, 0.25 mg/L, 32 mg/L, 2mg/L, respectively). P. aeruginosa ATCC 27853 (Rockville, MD., USA) was used as a quality control strain. 2.2. Antimicrobial agents CSA-13 was synthesized from a cholic acid scaffold technique as previously described [14]. Colistin sulphate was obtained from Sigma Aldrich, tobramycin and ciprofloxacin were kindly provided from Bilim and Bayer Pharmaceuticals, respectively. Stock solutions from dry powders were prepared at a concentration of 5120 mg/L and stored frozen at –800C. Frozen solutions of antibiotics were used within 6 months. 2.3. Media Mueller-Hinton broth (MHB, Difco Laboratories, Detroit, MI) supplemented with divalent cations to a final concentration of 25 mg of Mg2+ and 50 mg of Ca2+ per liter (CSMHB) was used for all the experiments. Pour plates of Tryptic Soy agar (TSA, Difco Laboratories, Detroit, MI) were used for colony counts. 2.4. Determinations of MICs and MBCs MICs were determined by the microbroth dilution technique as described by CLSI [15,16]. Serial two-fold dilutions ranging from 256 to 0.25 mg/L were prepared in CSMHB. The inoculum was prepared with a 4-6 h broth culture that gives a final concentration of 5x105 cfu/mL in the test tray. Viable cell counts were performed with each test to verify the number of colony forming units in each inoculum. The trays were covered and placed in plastic bags to prevent evaporation and incubated at 37 0C for 18-20 h. The MIC was defined as the lowest concentration of antibiotic giving complete inhibition of visible growth. Experiments were performed in duplicate. MBCs were determined at the conclusion of the incubation period by removing two 0.01 ml samples from each well demonstrating no visible growth and plated onto TSA. Resultant colonies were counted after an overnight incubation at 37 oC. The MBC was defined as the lowest concentration of antibiotic giving at least a 99.9 % killing of the initial inoculums [17]. 2.5. Determination of fractional inhibitory concentration index (FICI) The effects of antibiotics in combination were assessed by using the microbroth chequerboard technique [18]. Each microtitre well containing the mixture of antibiotics was inoculated with a 4-6 h broth culture diluted to give a final concentration of approximately 5x105 cfu/ml. After incubation at 370C for 18-20 h the fractional inhibitory concentration index (FICI) was determined as the combined concentration divided by the single concentration. The combination value was derived from the highest dilution of antibiotic combination permitting no visible growth. With this method, synergy was defined as a FICI of ≤ 0.5, no interaction as a FICI of > 0.5–4 and antagonism as a FICI of ≥ 4.0 [19]. Statistical differences between the frequencies of synergy were compared by the chi-square test. Any value of P below 0.05 was considered as statistically significant. 1716 © FORMATEX 2013 Microbial pathogens and strategies for combating them: science, technology and education (A. Méndez-Vilas, Ed.) ____________________________________________________________________________________________ 2.6. Determination of time-kill curves In order to observe the dynamic picture of the bactericidal activity of CSA-13 alone and in combination with colistin, the time-kill curve method was used as described previously by testing each antibiotic alone at 0.25x, 0.5x, 1x, 2x and 4x the MIC, and the two antibiotics in combination each at 0.25x and 0.5x the MIC against PA1 and PA2 clinical strains those were described before in the section bacterial isolates [17]. Antibacterial agent-free controls were included for each strain. Inocula were quantified spectrophometrically and added to the flasks to yield a final concentration of 1x106 cfu/mL. The test tubes containing CSMHB with and without (growth control) antibacterial agents in a final volume of 30 mL were incubated in a 370C calibrated shaking water bath and viable counts were determined at 0, 0.5, 1, 2, 4, 8, and 24 h intervals after inoculation, by subculturing 0.1 mL serial dilutions onto TSA plates. All tests were performed in duplicate. Time-kill curves were constructed by plotting mean colony counts (log10 cfu/mL) versus time. The lower limit of detection for time-kill assays was 1 log10 cfu/mL. Antimicrobial carry-over was controlled by the inhibition of colonial growth at the site of the initial streak according to NCCLS guidelines [17]. Bactericidal activity was defined as a ≥3-log10 cfu/mL decrease from the initial inoculum. The results were interpreted by the effect of the combination in comparison with the effect of the most active agent alone. Synergy and antagonism were defined as a 2log10 decrease or increase, respectively, in colony count at 24 h by the combination compared with the most active agent alone. 3. Results 3.1. Susceptibility The in vitro activities of the studied antibiotics against 50 P. aeruginosa strains are summarized in Table 1. Susceptibility testing demonstrated that the MIC ranges for CSA-13, colistin, tobramycin and ciprofloxacin were 0.5-4, 0.06-2, 0.125-64 and 0.06-64, mg/L and MBC ranges for those antibiotics were 0.5-8, 0.06-4, 0.25-64 and 0.125-64, mg/L respectively. There was no difference between the levels of MICs in mucoid and non-mucoid isolates except PA2. As seen from the results, CSA-13 showed a similar pattern of MIC and MBC ranges as colistin, for which MIC values varried in a 4 dilution range. In addition, the highest MIC and MBC values of CSA-13 were just one fold higher of the MIC90 and MBC90 values. However, 6 % and 24 % of the strains were found resistant to tobramycin and ciprofloxacin, respectively. There was no major difference between bactericidal and inhibitory endpoints. The MBCs were generally equal to or two fold greater than those of the MICs. Table 1 Comparative in vitro activity of CSA-13 with other antimicrobial agents against 50 isolates of P. aeruginosa Per cent inhibited at CLSI breakpoints* mg/L Antibiotics MIC range MIC50 MIC90 MBC range MBC50 MBC90 susceptible intermediate resistant CSA-13 0.5-4 2 2 0.5-8 2 4 - - - Colistin 0.06-2 0.5 1 0.06-4 0.5 2 100 0 0 Tobramycin 0.125-64 0.25 1 0.25-64 0.25 1 94 0 6 Ciprofloxacin 0.06-64 0.5 2 0.125-64 0.5 4 68 8 24 * CLSI breakpoints for susceptible and resistant to colistin ≤ 2 mg/L and 8 ≥ mg/L; tobramycin ≤ 4 mg/L and ≥ 16 mg/L; ciprofloxacin ≤ 1 mg/L and ≥ 4 mg/L, respectively. 3.2. Chequerboard The results of combination studies are shown in Table 2. With a FIC index of ≤ 0.5 as borderline, synergistic interactions were mostly seen with CSA-13-colistin combination (synergism was observed with 54 % of the strains tested), whereas the least synergistic interactions were observed with the CSA-13-tobramycin combination (synergism was observed with 25 % of the strains tested). No antagonism was observed with any combination. 3.3. Time-kill kinetics The results of time killing curve analysis showed that CSA-13 was rapidly bactericidal in a concentration-dependent manner, a 3-log kill being found within 1 hour for both strains with 0.5xMICs (figure 2). When these antibiotics were © FORMATEX 2013 1717 Microbial pathogens and strategies for combating them: science, technology and education (A. Méndez-Vilas, Ed.) ____________________________________________________________________________________________ used in combination at 0.25xMIC and 0.5xMIC, synergistic interactions were obtained in both strains (figure 1). Earlier synergistic effects were noted at 2h, 4h and 8h, in the PA2 strain. Antibiotic combinations No.(%) of synergistic effect* n CSA-13 + colistin 50 27 (54) CSA-13 + tobramycin 47 12 (25) CSA-13 + ciprofloxacin 38 18 (47) colistin + tobramycin 47 18 (38) colistin + ciprofloxacin 38 11 (29) * Considering the differences in the percentages of synergistic effects between the five groups of combination, CSA-13+colistin combination was found statistically significant greater than with the other combinations, using multiple comparision, by Chi-square analysis. χ2 =11.05 p=0.026. No difference was found with the advanced Chi-square analysis of the other four combinations. χ2 =5.26 p=0.154. a b 16 16 14 14 12 12 10 10 8 8 6 6 0.5xMIC CSA-13 4 4 0.25xMIC colistin 2 2 0.5xMIC colistin 0.25xMIC combination 0 control 0.25xMIC CSA-13 0 2 4 6 8 0 24 0.5xMIC combination 0 2 time (h) 4 6 8 24 time (h) Fig. 1 The bactericidal activity of CSA-13 in combination with colistin against two P. aeruginosa strains by using time-kill curve method: a) PA1 b) PA2. cfu, colony-forming units; MIC, minimal inhibitory concentration. a b 16 16 14 14 12 12 10 10 8 8 6 6 4 4 2 2 0 control 0.25xMIC colistin 0.5xMIC colistin 1xMIC colistin 2xMIC colistin 4xMIC colistin 0.25xMIC CSA-13 0.5xMIC CSA-13 1xMIC CSA-13 0 0 2 4 6 8 24 2xMIC CSA-13 4xMIC CSA-13 0 2 4 6 8 24 time (h) time (h) Fig. 2 The bactericidal activity of colistin and CSA-13 against two P. aeruginosa strains by using time-kill curve method: a) PA1 b) PA2. cfu, colony-forming units; MIC, minimal inhibitory concentration. 1718 © FORMATEX 2013 Microbial pathogens and strategies for combating them: science, technology and education (A. Méndez-Vilas, Ed.) ____________________________________________________________________________________________ 4. Discussion Ceragenins are unique, low-molecular-mass, cationic steroid compounds. These compounds mimic the activity of naturally occuring antimicrobial peptides. Previous reports have suggested potent in vitro activities of CSA-13 alone and in combination with other antibiotics against Gram-negative organisms [6-8]. Here, we report an MIC50 of 2 mg/L for 50 P. aeruginosa strains. This is lower than previous data as reported by Chin who observed an MIC50 of 16 mg/L for 50 P. aeruginosa strains, and an MIC50 of 8 mg/L for a subset of carbapenem resistant isolates [6]. As seen from the results, CSA-13 showed the similar pattern of MIC ranges as colistin where the MIC values varried in a 3-4 dilution range, which indicates that CSA-13 might have the similar manner of inhibitory activity. On the other hand, tobramycin and ciprofloxacin, which have a different mechanism of action, showed MIC values in a 9-10 dilution range. It was notable to see that the MIC90 value of CSA-13 was equal to the MIC50 value, which differentiates CSA-13 from other antibiotics. These results indicate that CSA-13 shows an activity with similar MIC values independent of whether or not the bacteria is resistant to other antibiotics. Probably, this situation could be attributed to its ability to permeabilize both outer and cytoplasmic membrane of the bacteria and its resistance to protease degradation [20]. These results support the idea that development of resistance to CSA-13 might be rare if it is used in the treatment. Our study also shows that CSA-13 has an MIC50/MBC50 ratio of 1, suggesting that the bactericidal activity is close to the inhibitory concentration. Indeed, varying CSA-13 concentrations at, below and above the MIC demonstrated rapid bactericidal antimicrobial activity, even when the strains were resistant to ciprofloxacin and/or tobramycin. Moreover, in our study CSA-13 demonstrated concentration dependent bactericidal activity against P. aeruginosa, which is similar to previous published data [6]. Another way of getting over problems of resistance during the treatment of chronic P. aeruginosa infections in CF patients is the use of antibiotics in combination [21]. Rationales for the use of antimicrobial combinations are: decreased emergence of resistant strains, decreased dose-related toxicity as a result of reduced dosage, polymicrobial infection and antimicrobial synergism [18]. In our study, in vitro interactions of CSA-13 in combination with colistin, tobramycin and ciprofloxacin against P. aeruginosa strains were assessed by using the microbroth chequerboard since it provides fast results and interpretation of these results is simple [18]. The results of this in vitro trial provide evidence that with a FICI of ≤ 0.5 as borderline, synergistic interactions were detected in all combinations (table 2). Synergistic interactions were mostly seen with CSA-13-colistin combination (54 % of tested strains), whereas the least synergistic interactions were observed with the CSA-13-tobramycin combination (25 % of tested strains). CSA-13-colistin combinations were shown to be the most effective combinations and the frequency of synergistic interactions in this combination showed significant statistical differences from CSA-13-tobramycin and colistin-ciprofloxacin combinations (p=0.026). In addition, we performed time-kill assays on two P. aeruginosa strains named PA1 and PA2 and both strains demonstrated synergistic interactions with the combination of CSA-13-colistin at 24h in, which were also found synergistic by using the microbroth chequerboard method (figure 1). However, earlier synergistic effects were noted at 2h, 4h and 8h, in the PA2 strain. Previous studies demonstrated early synergisms at 4-8h in the combination of CSA-13 and widely used antibiotics [6,7]. According to this result, it seems to be promising to combine CSA-13 and colistin where both antibacterial agents are providing bactericidal effect in a concentration-dependent manner . CSA-13 can permeabilize both the outer membrane and cytoplasmic membrane of Gram-negative organisms thus resulting in sensitization to antimicrobials [6,20]. Colistin that we used in combination studies and that we achieved the highest rate of synergism also shows its effect with the mechanism that increases the permeability of the outer membrane. Therefore, the results of this study shows that an important way of creating damage to the structure of membrane is the conclusion of the activities of antibiotics. The results of time kill curve analysis demonstrated increased bactericidal activity in combination studies. The permeability-increasing effect of CSA-13 may help to the other antibiotics like ciprofloxacin, as we used in this study, to access to the intracellular targets. Several strategies exist to treat P. aeruginosa infections in CF patients, and standard antibiotic therapy includes the use of the inhaled antibiotics such as colistin and tobramycin and oral quinolones such as ciprofloxacin alone or in combination [11,12,22-24]. To our knowledge, this is the first study comparing CSA-13 in combination with colistin against P. aeruginosa strains isolated from CF patients. Consequently, CSA-13 appears to be a good candidate for further investigations in the treatment of P. aeruginosa strains in CF patients, either as a single agent or as an adjuvant for those standart antimicrobial chemotherapy. Funding This work was supported by a grant from the Research Fund of The University of Istanbul. Project number: 2925. References [1] [2] Kerem B, Rommens JM, Buchanan JA, Markiewicz D, Cox TK, Chakravarti A, Buchwald M, Tsui LC. Identification of the cystic fibrosis gene: genetic analysis. Science. 1989;245:1073-1080. Miller MB, Gilligan PH. Laboratory aspects of management of chronic pulmonary infections in patients with cystic fibrosis. J Clin Microbiol. 2003;41:4009-4015. © FORMATEX 2013 1719 Microbial pathogens and strategies for combating them: science, technology and education (A. 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