Literature DB >> 23951065

Clonal dissemination, emergence of mutator lineages and antibiotic resistance evolution in Pseudomonas aeruginosa cystic fibrosis chronic lung infection.

Carla López-Causapé1, Estrella Rojo-Molinero, Xavier Mulet, Gabriel Cabot, Bartolomé Moyà, Joan Figuerola, Bernat Togores, José L Pérez, Antonio Oliver.   

Abstract

Chronic respiratory infection by Pseudomonas aeruginosa is a major cause of mortality in cystic fibrosis (CF). We investigated the interplay between three key microbiological aspects of these infections: the occurrence of transmissible and persistent strains, the emergence of variants with enhanced mutation rates (mutators) and the evolution of antibiotic resistance. For this purpose, 10 sequential isolates, covering up to an 8-year period, from each of 10 CF patients were studied. As anticipated, resistance significantly accumulated overtime, and occurred more frequently among mutator variants detected in 6 of the patients. Nevertheless, highest resistance was documented for the nonmutator CF epidemic strain LES-1 (ST-146) detected for the first time in Spain. A correlation between resistance profiles and resistance mechanisms evaluated [efflux pump (mexB, mexD, mexF, and mexY) and ampC overexpression and OprD production] was not always obvious and hypersusceptibility to certain antibiotics (such as aztreonam or meropenem) was frequently observed. The analysis of whole genome macrorestriction fragments through Pulsed-Field Gel Electrophoresis (PFGE) revealed that a single genotype (clone FQSE-A) produced persistent infections in 4 of the patients. Multilocus Sequence typing (MLST) identified clone FQSE-A as the CF epidemic clone ST-274, but striking discrepancies between PFGE and MLST profiles were evidenced. While PFGE macrorestriction patterns remained stable, a new sequence type (ST-1089) was detected in two of the patients, differing from ST-274 by only two point mutations in two of the genes, each leading to a nonpreviously described allele. Moreover, detailed genetic analyses revealed that the new ST-1089 is a mutS deficient mutator lineage that evolved from the epidemic strain ST-274, acquired specific resistance mechanisms, and underwent further interpatient spread. Thus, presented results provide the first evidence of interpatient dissemination of mutator lineages and denote their potential for unexpected short-term sequence type evolution, illustrating the complexity of P. aeruginosa population biology in CF.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23951065      PMCID: PMC3741393          DOI: 10.1371/journal.pone.0071001

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Chronic respiratory infection by Pseudomonas aeruginosa is a major driver of morbidity and mortality in cystic fibrosis patients [1], [2]. Traditionally, initial colonization is considered to be produced by unique strains acquired from environmental sources that undergo an extensive adaptation within the patient’s lungs, leading to life-long persistent infections with little patient to patient transmission [3]. The establishment of the characteristic biofilm structures and the acquisition of a plethora of adaptive mutations (leading to enhanced antimicrobial and host defenses resistance, specific metabolic adaptation and an adapted virulence), are the main responsible for the persistence of these infections despite extensive antimicrobial therapy [4]–[9]. One of the hallmarks of P. aeruginosa chronic respiratory infections, in contrast to acute processes, is the high prevalence of hypermutable (or mutator) strains [10]–[13]. These variants are found in 30 to 60% of CF patients and show up to 1000-fold increased spontaneous mutation rates caused by defective DNA repair pathways. Among them, the mismatch repair (MMR) system is the one most frequently affected, due to mutations in mutS or mutL genes [14]–[16]. Indeed, mutator variants are positively selected during the establishment of chronic infections, linked to the acquisition of mutations related to antibiotic resistance, biofilm growth, metabolic adaptation, or acute virulence attenuation [10], [16]–[20]. Additionally, there is growing evidence suggesting that adaptation to the CF lung environment may escape from the scale of the individual patients [21]. Indeed, the existence of concerning epidemic strains, such as the Liverpool Epidemic Strain (LES-1), capable of infecting hundreds of CF patients in different geographical locations, has been well documented for over two decades [22], [23]. Mutator variants have also been detected in a small proportion of isolates from patients infected by the LES-1 epidemic strain [24], [25], but interpatient spread of mutator variants has never been demonstrated. Moreover, recent whole genome sequence analyses have revealed that the origination of CF adapted epidemic strains may result from a limited number of specific mutations with pleiotropic effects [26]. Although whole genome sequencing and microarray analysis will soon take the lead, the current gold standard for typing P. aeruginosa strains with the purpose of investigating patient to patient transmission is still the analysis of whole genome macrorestriction fragments through Pulsed-Field Gel Electrophoresis (PFGE) [27]. However, the instability of PFGE profiles, mainly consequence of frequent genome rearrangements, makes this procedure unsuitable for long-term and global epidemiology studies [28]. On the other hand, Multilocus Sequence Typing (MLST), based on sequencing of 7 house keeping genes, provides a much more stable genetic signature and is still currently considered the gold standard for global epidemiology and population structure analyses [29]. In this work, we investigated the interplay between the three above described key microbiological aspects of P. aeruginosa CF chronic lung infections: the occurrence of transmissible and persistent strains (PFGE-MLST clonal epidemiology), the emergence of variants with enhanced mutation rates (mutators) and the evolution of antibiotic resistance.

Results and Discussion

Long-term Clonal Epidemiology of P. aeruginosa in CF: Transmissible and Persistent Strains

A total of 100 P. aeruginosa isolates were studied, including 10 sequential isolates from each of 10 CF patients attended at the reference hospital of the Balearic Islands, Spain. Each of the sequential isolates included were separated by at least a 6-month interval, covering up to an 8-year period from 2003 to 2010. PFGE analysis revealed the presence of 13 different clones; one of them (clone FQSE-A) was detected in four patients while the other twelve were detected in single patients. Figure 1 shows the distribution of the different clones among the different patients along the 8-year study period. Six patients, including the 4 colonized by clone FQSE-A, showed a single clone over the study period, while the other 4 showed the coexistence of several (2 to 4) clones or clonal replacements (Figure 1). Therefore, results so far suggested that clone FQSE-A is a CF adapted (transmissible and persistent) strain. The epidemiological setting driving (direct or indirect) interpatient transmission is uncertain, since recommendations on segregation of patients colonized by P. aeruginosa from those free of this pathogen are followed in all hospital visits.
Figure 1

Schematic representation of the 10 sequential isolates from each of the 10 CF patients in the time frame of the study period.

Each different clone is represented by a different colour. Resistance profiles and presence mutator phenotypes are indicated for each isolate. Results of MLST analysis are also provided for specific isolates.

Schematic representation of the 10 sequential isolates from each of the 10 CF patients in the time frame of the study period.

Each different clone is represented by a different colour. Resistance profiles and presence mutator phenotypes are indicated for each isolate. Results of MLST analysis are also provided for specific isolates.

Discrepant MLST vs PFGE Results: Role of Mutators

The first isolate per patient and clone were further analyzed by MLST, yielding 13 sequence types (ST) not entirely coincident with the clones identified by PFGE. The allelic profiles and relevant features of the 13 STs identified are shown in Table 1. Not surprisingly due to the overall higher discriminatory power (or lower stability) of PFGE compared to MLST [28]–[30], two different PFGE clones (FQSE-C and FQSE-D) shared the same ST (ST-299). Much more intriguingly, the disseminated clone FQSE-A yielded two different STs (Table 1, Figure 1). Clone FQSE-A from 3 of the 4 patients was identified as ST-274, previously detected in multiple CF patients from France, Austria and Australia according to the MLST database (http://pubmlst.org/paeruginosa/). Moreover, this clone has been simultaneously detected in several patients from another CF Unit in Madrid [31] and in a few cases of hospital-acquired infections in recent Spanish multicentre studies [32], [33]. Thus, our results add further evidence pointing out that ST-274 should be added to the growing list of CF epidemic clones [22], [29]. In contrast, clone FQSE-A from the fourth patient was identified as a new ST (ST-1089) differing from ST-274 by only two point mutations in two of the genes (acsA and guaA) each leading to a nonpreviously described allele (the only two novel alleles found in the complete collection). Additionally, in contrast to ST-274, ST-1089 showed a mutator phenotype (Table 1). Therefore, the available data clearly suggested that ST-1089 has recently evolved from the CF epidemic clone ST-274 through point mutations linked to the emergence of a mutator lineage. As expected, due to the mutational spectra of DNA MMR deficient strains [12], both mutations were G to A transversions. Moreover, both mutations were apparently not neutral, since they lead to nonsynonymous substitutions in the acetyl-coenzyme A synthetase (G435D) and the GMP synthase (G312S), which are key metabolic enzymes. Whether these mutations were positively selected because the play a role in the intense metabolic adaptation to the CF chronic lung infection setting [18] remains to be explored.
Table 1

Allelic profiles and relevant features of the different ST detected.

CloneSequence typeAllelic profilea Relevant features
acsA aroE guaA mutL nuoD ppsA trpE
FQSE-AST-2742351171127Detected in CF patients in Australia, Austria and France
FQSE-AST-108966510171127New Sequence Type, DLV of ST-274 (Mutator)
FQSE-BST-146651134231MDR Liverpool Epidemic Strain (LES-1)
FQSE-C/DST-299175363373Detected in CF patients in Australia
FQSE-EST-110863177347New Sequence Type
FQSE-FST-1072513256173New Sequence Type
FQSE-GST-1552853633137Detected in CF patients in Australia, Canada and France
FQSE-HST-108836272834131New Secuence Type
FQSE-IST-110916143111151New Sequence Type
FQSE-JST-10715357613342New Sqcuence Type
FQSE-KST-7012919131623New Sequence Type
FQSE-LST-2546558113437Detected in CF patients in Australia, Canada
FQSE-MST-107328536341095New Sequence Type (mutator)

Nonpreviously described alleles are shown in bold.

Nonpreviously described alleles are shown in bold. Consistently with our findings, while mutators series appeared to be no more variable in their MLST haplotypes than nonmutator series in a previous study, the only novel alleles found were also from patients with mutator strains [34]. Moreover, a recent study has reported discrepant MLST vs PFGE results directly linked to the emergence of a mutator phenotype caused by mutL mutations [35], stressing the point that this gene lacks the neutrality required for an appropriate MLST marker, since MMR deficient mutators (mutS and mutL) are positively selected in CF chronic infection [15]. Likewise, a recent work has reported a strain that was not typable by MLST due to the presence of a deletion in the mutL fragment analyzed [30]. All together, these results indicate that frequent mutator variants from chronic infection may determine a lower stability of the MLST profiles than expected (leading to discrepant results compared to PFGE) both directly (mutL inactivating mutations within the gene fragment evaluated in MLST analysis) and indirectly through the increased spontaneous mutagenesis (facilitating the emergence of novel alleles through point mutations in any of the 7 genes evaluated in MLST analysis). Regarding the other STs detected, as expected from the frequent acquisition of unique clones by CF patients from environmental sources [3], [36], 8 of the 13 MLST clones detected corresponded to nonpreviously described STs, each found in single patients (Table 1). Nevertheless, in addition to the above described clone FQSE-A/ST-274 CF epidemic strain, clonal replacement (of a MDR mutator strain) by the MDR LES-1 epidemic strain ST-146 [29], [37] was documented in one of the patients, alerting of the first detection of the likely more world-wide concerning CF epidemic clone in Spain. Although the epidemiological driver of LES-1 colonization was not specifically investigated, the fact that the patient has family links with a northern European country could help to explain the acquisition of this clone not previously detected in Spain.

Evidence for Interpatient Spread of a Mutator Lineage (ST-1089) Evolved from a CF Epidemic Strain (ST-274)

Since ST-274 and ST-1089 show the same PFGE pattern and MLST was initially performed only in the first isolate per patient and clone, MLST analysis was extended to the last available isolate from each patient colonized by clone FQSE-A as well as the two additional sporadic mutator isolates detected in two of the patients colonized by this clone (Figure 1). In all cases, the MLST profiles coincided with that of the first isolate, except for the mutator lineage emerging from one of the patients colonized by ST-274 that was also identified as ST-1089 (Figure 1). Thus, the mutator lineage ST-1089 was detected from the first to the last isolate analyzed in one of the patients and only in the last isolate (the only one with mutator phenotype) from a second one. Nevertheless, extended analysis of available isolates of this patient from 2010 to 2012 confirmed the persistence of the ST-1089 mutator lineage. On the other hand, the sporadic mutator lineage detected in the third patient was still ST-274. Therefore, mutator lineages were detected in 3 of the 4 patients with clone FQSE-A, two belonging to ST-1089 and one to ST-274. In order to evaluate the genetic basis of hypermutation, complementation studies with plasmids harboring wild-type MMR genes (mutS and mutL) were performed in mutator isolates from these three patients. In all cases the isolates were found to be defective in mutS. Thus, mutS was sequenced from the three mutator isolates and representative nonmutator isolates. Surprisingly, the three mutator isolates had the same inactivating mutation in mutS (4 bp deletion from nt 814), obviously absent in the nonmutator isolates. This specific mutation has not been previously noted in dozens of ofmutator variants sequenced so far [13], [14], [16], [38], [39], and is not reasonable to believe that it might have emerged independently in three different occasions. Therefore, these results provide evidence for the first time of interpatient spread of mutators. Moreover, they demonstrate the interpatient spread of a mutator lineage (ST-1089) evolved from a CF epidemic strain (ST-274).

Interplay between Clonal Lineages, Mutator Phenotypes, Antimicrobial Susceptibility and Resistance Mechanisms

The overall susceptibility data for the collection of 100 isolates to 8 antipseudomonal agents is summarized in Table 2. Lowest susceptibility was observed for aztreonam (60% S) and highest for meropenem (96% S). However, resistance rates were highest for cefepime (30% R), tobramycin (30% R) and ciprofloxacin (24% R) and lowest for meropenem (1% R), aztreonam (4% R), and colistin (7% R). A significant trend towards increased MICs overtime to individual antibiotics was not noted, although all colistin resistant isolates occurred in the second half of the study (Figure 2). The low percentages of Aztreonam resistance might be of particular interest, considering its recent introduction for the treatment of CF chronic lung infection as inhaled therapy [40]. It should also be noted that EUCAST considers P. aeruginosa intrinsically nonsusceptible to this antibiotic (mainly due to the basal expression of MexAB-OprM efflux pump and pharmacokinetic/pharmacodynamic issues) (http://www.eucast.org/clinical_breakpoints/). Therefore, the percentage (60%) of susceptible isolates documented actually reflects the high number of hypersusceptible (MIC ranges 0.125–1 mg/L) isolates falling outside of wild-type MICs (2–16 mg/L) distributions (http://www.eucast.org/mic_distributions/). In addition of aztreonam, an important number of isolates showed hypersusceptibility to meropenem with MICs (<0.06 mg/L) falling outside of wild-type distributions.
Table 2

Antimicrobial susceptibility of the studied P. aeruginosa isolates.

AntibioticNo. of isolates (n = 100)No. of patients (n = 10)
Sa Ia Ra I+Ra Ra
Ceftazidime89NAb 1144
Cefepime70NA3088
Imipenem7951674
Meropenem963131
Aztreonam60364102
Ciprofloxacin6972485
Tobramycin70NA3066
Colistin93NA733
Figure 2

Evolution of minimal inhibitory concentrations (MICs) from the first to the last studied isolate from each patient.

Each color represents a different patient. CI, ciprofloxacin; TM, tobramycin; CO, colistin; TZ, ceftazidime; PM, cefepime; AT, aztreonam; IP, impenem; MP, meropenem.

Evolution of minimal inhibitory concentrations (MICs) from the first to the last studied isolate from each patient.

Each color represents a different patient. CI, ciprofloxacin; TM, tobramycin; CO, colistin; TZ, ceftazidime; PM, cefepime; AT, aztreonam; IP, impenem; MP, meropenem. Resistance profiles (I+R) to the 8 antipseudomonal agents and mutator phenotypes for the 100 isolates are also indicated in Figure 1. Although the resistance profiles were variable within and across patients along the study period, a significant trend towards the accumulation of resistances was noted, increasing from an average of resistance to 1.1±1.2 antibiotics in the first isolate of each patient to 2.5±0.85 in the last isolate (paired t test, p = 0.016).Consistently with previous data [10], [11], [15], 29% of the isolates showed mutator phenotypes and 6 of the 10 patients showed at least 1 mutator isolate. In two patients all isolates were mutators and in other two, mutators emerged at late stages of colonization. In one more patient a mutator lineage emerged but it was not fixed and in other one it was replaced by the LES-1 epidemic strain (Figure 1). As described above, mutator variants were detected in 3 of the 4 patients colonized by epidemic clon A (ST-274/ST-1089). Mutator variants have also been previously detected in a small proportion of isolates of the LES-1 epidemic strain, but interpatient spread was not previously evidenced [24], [25]. In agreement with previous findings [10], [11], [19], [20], [41] a significant trend (p = 0.009) towards resistance to a higher number of antibiotics among mutator isolates (2.28±0.22) than among nonmutator isolates (1.49±0.17) was also noted, although not all mutator isolates were resistant and some nonmutator isolates, particularly noteworthy the LES-1 epidemic strain ST-146, were resistant to multiple antibiotics (Figure 1). Resistance mechanisms [efflux pump (mexB, mexD, mexF, and mexY) and ampC overexpression and OprD production] were evaluated in the first and last isolate from each patient and clone and results are shown in Table 3. A trend towards accumulation of resistance mechanisms was noted, from 1.4±0.58 in the first to 2.1±0.88 in the last isolates, although the differences did not reach statistical significance (p = 0.06). The most frequent mechanism was mexY overexpression, documented in all 10 patients. Moreover, this mechanism was present in most patients (8 of 10) already in the early isolates (Table 3). The overexpression of the other efflux pumps was far more infrequent; mexF was documented in 3 patients, mexD in 2 and mexB only in one. AmpC overexpression was evidenced in 6 of the patients and lack of OprD production in the 4 patients colonized by imipenem resistant strains. Although a certain correlation was documented between ampC overexpression and ceftazidime resistance and lack of OprD and imipenem resistance, as previously observed [42], [43], a correlation between phenotype and genotype was not always evident, particularly concerning efflux pumps overexpression. Previously described efflux unbalance in CF [44] and antagonistic interactions between certain resistance mechanisms [45] could explain these discrepancies. Particularly, the previously documented frequent inactivation of the constitutive MexAB efflux system could well be responsible of the frequently observed aztreonam and meropenem hypersusceptibily (Table 3, Figure 2). The clone associated with a higher number of resistance mechanisms was ST-146/LES-1 previously associated with MDR phenotypes [43]. The initial MDR isolate from this clone already expressed 4 resistance mechanisms (MexY, MexF, MexD and OprD). The last isolate also expressed 4 resistance mechanisms (MexY, MexD, MexF, and OprD), but showed a significant reduction of the MDR profile, likely influenced by the modification of the mechanisms expressed (MexD instead of AmpC). Although not particularly associated with a high number of resistance mechanisms, all early and late isolates from the epidemic clone FQSE-A (ST-274/ST-1089) overexpressed mexY. Thus, mexZ was sequenced in all strains that overexpressed mexY, in order to determine the underlying genetic mechanism of resistance and to use mexZ mutations as epidemiological marker. As expected [46] most of the strains overexpressing mexY showed mexZ mutations, including deletions, premature stop codons, insertion sequences (IS), or nonsynonymous substitutions (Table 3). Remarkably, clone FQSE-A (ST-274/ST-1089) isolates from the different patients showed different mexZ mutations, denoting that interpatient spread precedes resistance development, except for the ST-274/ST-1089 mutS deficient mutator lineages (Table 3). Indeed, the ST-274/ST-1089 mutS deficient isolates showed the same mexZ mutation, demonstrating that the interpatient spread of the mutator lineages occurred after the acquisition of the resistance mechanism.
Table 3

Antimicrobial susceptibility results and resistant mechanisms detected in first and last studied isolates from each patient and clone.

Patient-IsolatePFGECloneSTMutator(Y/N)MIC (mg/L)Resistancemechanisms mexZmutationsa
TZPMATIPMPCITOCO
FQSE06-0403FQSE-A274N0.0641.50.1251.50.0160.12540.38 mexY S9P
FQSE06-1104FQSE-A274Y0.09410.09410.250.2512 mexY A194P
FQSE06-0610FQSE-A274N1.580.2580.0640.751.52 mexY, OprD-Nt292Δ11
FQSE10-0503FQSE-A274N0.38241.50.250.0940.50.5 mexY IS b
FQSE10-0111FQSE-A274N31240.250.1250.7520.75 ampC, mexY IS
FQSE15-0803FQSE-A274N180.3820.1250.381.51.5 mexY A144V
FQSE15-0110FQSE-A1089Y1.51220.380.380.3810.016 mexY A194P
FQSE24-0304FQSE-A1089Y1120.19>322831 mexY,OprD-A194P
FQSE24-1010FQSE-A1089Y0.3840.38>32>32641 mexY,OprD-A194P
FQSE12-0603FQSE-C299N0.7580.12510.0640.25240.75 mexY R125P
FQSE12-1206FQSE-C299N88820.52244 ampC, mexY R125P
FQSE12-1007FQSE-B146N242412>321.544>256 ampC, mexY, mexF, OprD-Q164X
FQSE12-1110FQSE-B146N1320.380.250.191610.38 mexY, mexF, mexD,OprD-Q164X
FQSE05-0403FQSE-E1108N1612121.50.250.251.50.5 ampC WT
FQSE05-0704FQSE-D299N2>256>25630.7531.50.75 ampC, mexY ND
FQSE05-0305FQSE-F1072N120.750.50.0470.250.752 mexY, mexF W185X
FQSE05-0807FQSE-G155N0.750.7531.50.190.0470.51.5ND
FQSE05-0111FQSE-E1108N1216241.50.0940.2511 ampC, mexY V43G
FQSE21-1003FQSE-H1088N0.51.50.50.380.190.250.381 ampC, mexY Nt61Δ15
FQSE21-0505FQSE-I1109N1616830.52162 mexB, mexY K131R
FQSE21-0410FQSE-H1088N1.580.380.750.0940.380.512 mexY Nt61Δ15
FQSE21-1110FQSE-I1109Y8160.751.50.251.5321.5 mexB, mexY K131R
FQSE28-1006FQSE-J1071N1.512640.0940.12532 ampC, mexY Nt189Δ12
FQSE28-1110FQSE-J1071N16420.0470.1932 ampC, mexY Nt189Δ12
FQSE11-0603FQSE-K701N130.251.50.0320.12521.5 mexY WT
FQSE11-0608FQSE-L254N180.12510.0230.3821.5 mexY Nt279Δ12
FQSE11-1010FQSE-K701N280.25820.75>2561 mexY, OprD-WT
FQSE16-0803FQSE-M1073Y1.51.50.2530.191.530.5 mexF, mexD WT
FQSE16-0910FQSE-M1073Y3620.1250.750.25122 ampC, mexY, mexF R125P

PAO1 and PA14 were used as reference wild-types sequences (www.pseudomonas.com).

1.2 Kb IS located in mexX-mexZ intergenic region (nt -72 respect mexZ coding sequence). Encodes a putative transposase identical to that previously reported in Pseudomonas pseudoalcaligenes CECT 5344 (ref ZP_10763279.1).

PAO1 and PA14 were used as reference wild-types sequences (www.pseudomonas.com). 1.2 Kb IS located in mexX-mexZ intergenic region (nt -72 respect mexZ coding sequence). Encodes a putative transposase identical to that previously reported in Pseudomonas pseudoalcaligenes CECT 5344 (ref ZP_10763279.1). In summary, the presented results provide evidence for the interpatient spread of the CF epidemic strain ST-274. Much more importantly, they strongly suggest that ST-274 bacterial populations spreading among different patients were not a single genotype, but rather included a mutS deficient subpopulation that had already evolved into the new mutator lineage ST-1089 and had acquired specific resistance mutations. In other words, presented results provide the first evidence of interpatient dissemination of mutator lineages and denote their potential for unexpected short-term sequence type evolution (leading to MLST vs PFGE discrepancies), illustrating the complexity of P. aeruginosa population biology in CF.

Materials and Methods

Ethics Statement

This study was approved by the Research Committee of Hospital Son Espases. All clinical isolates used were obtained from a preexisting collection recovered over years from routine cultures and the study does not include patients` data.

Clinical Isolates and Susceptibility Testing

The collection studied included 10 sequential P. aeruginosa isolates from each of 10 CF patients attended at hospital Son Espases, reference hospital of the Balearic Islands, Spain. Each of the sequential isolates included were separated by at least a 6-month interval, covering up to an 8-year period from 2003 to 2010. The first available isolate and the last available isolate (when the project was initiated) from each of the patients was always included in the studied collection. PAO1 strain was used as reference. The antibiotic susceptibility profiles (ceftazidime, cefepime, aztreonam, imipenem, meropenem, ciprofloxacin, tobramycin and colistin) were determined by Etest, using EUCAST breakpoints (http://www.eucast.org/).

Molecular Typing

Clonal relatedness was evaluated in all isolates by PFGE. For this purpose, bacterial DNA embedded in agarose plugs prepared as described previously [47] was digested with SpeI. DNA separation was then performed in a contour-clamped homogeneous-electric-field DRIII apparatus (Bio-Rad, La Jolla, CA) under the following conditions: 6 V/cm2 for 26 h with pulse times of 5 to 40 s. DNA macrorestriction patterns were interpreted according to the criteria established by Tenover et al. [48]. Representative isolates from each clone and patient were further analyzed by MLST using available protocols and databases (http://pubmlst.org/paeruginosa/).

Characterization of Resistance Mechanisms

The levels of expression of ampC, mexB,mexD, mexF and mexY were determined by Real-time reverse transcription (RT)-PCR according to previously described protocols [49], [50]. Briefly, strains were grown in 10 ml of LB broth at 37°C and 180 rpm to the late log phase (optical density at 600 nm [OD600] of 1) and collected by centrifugation. Total RNA was isolated by using the RNeasy minikit (Qiagen), dissolved in water, and treated with 2 U of Turbo DNase (Ambion) for 30 min at 37°C to remove contaminating DNA. The reaction was stopped by the addition of 5 µl of DNase inactivation reagent to the mixture. A 50-ng sample of purified RNA was then used for one-step reverse transcription and real-time PCR amplification using the Quanti Tect SYBR green RT-PCR kit (Qiagen) with a SmartCycler II instrument (Cepheid). Previously described primers [49], [50] were used for the amplification of ampC, mexB, mexD, mexF, mexY, and rpsL (used as a reference to normalize the relative amount of mRNA). Strains were considered positive for ampC, mexD, mexF or mexY overexpression when the corresponding mRNA level was at least 10-fold higher than that of PAO1, negative if lower than 5-fold, and borderline if between 5- and 10-fold. Strains were considered positive for mexB overexpression when the corresponding mRNA level was at least 3-fold higher than that of PAO1, negative if lower than 2-fold and borderline if between 2- and 3-fold. All PCRs were performed in duplicate. Mean values (± standard deviations) of mRNA levels obtained in three independent duplicate experiments were considered. Previously characterized strains overexpressing these mechanisms were used as controls [50]. Additionally, the gene encoding the transcriptional regulator of MexXY-OprM efflux pump, mexZ, was fully sequenced in representative isolates, from each patient and clone, showing mexY overexpression [32]. After duplicate PCR amplification, sequencing reactions were performed with the Big Dye Terminator kit (PE Applied Biosystems, Foster City, CA), and sequences were analyzed on an ABI Prism 3100 DNA sequencer (PE Applied Biosystems). The resulting sequences were then compared with that of wild-type PAO1 and those available at GenBank. Finally, outer membrane protein (OMP) profiles were analyzed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and stained with Coomassie blue following previously described protocols [45]. Obtained OprD profiles were compared with those of PAO1 and its OprD-deficient mutant.

Mutant Frequencies and Genetic Basis of Hypermutation

Rifampicin (300 mg/L) resistance mutant frequencies were determined in all strains following previously established procedures [10]. To explore the genetic basis for the mutator phenotypes, complementation studies were performed as described previously [15]. Briefly, plasmid pUCPMSharbouring PAO1 wild-type mutS, plasmid pUCPML harbouring PAO1 wild-type mutL, and plasmid pUCP24, a control cloning vector, were electroporated into the mutator isolates. Complementation was demonstrated by reversion of the increased rifampicin resistance mutant frequencies in two independent transformant colonies for each strain. Previously described primers and protocols [15] were used for the amplification and sequencing of mutS or mutL genes according to the results of complementation experiments.

Statistical Analysis

The Graph Pad Prism 5 software was used for graphical representation and statistical analysis. Quantitative variables were compared using the Mann-Whitney U-test or the Student’s t test as appropriate. Categorical variables were compared using the χ2 test. A p value of less than 0.05 was considered statistically significant.
  50 in total

1.  Emergence of a mutL mutation causing multilocus sequence typing-pulsed-field gel electrophoresis discrepancy among Pseudomonas aeruginosa isolates from a cystic fibrosis patient.

Authors:  María García-Castillo; Luis Máiz; María-Isabel Morosini; Mercedes Rodríguez-Baños; Lucrecia Suarez; Ana Fernández-Olmos; Fernando Baquero; Rafael Cantón; Rosa del Campo
Journal:  J Clin Microbiol       Date:  2012-02-08       Impact factor: 5.948

Review 2.  Clinical significance of microbial infection and adaptation in cystic fibrosis.

Authors:  Alan R Hauser; Manu Jain; Maskit Bar-Meir; Susanna A McColley
Journal:  Clin Microbiol Rev       Date:  2011-01       Impact factor: 26.132

3.  A cystic fibrosis epidemic strain of Pseudomonas aeruginosa displays enhanced virulence and antimicrobial resistance.

Authors:  Prabhakar Salunkhe; Catherine H M Smart; J Alun W Morgan; Stavroula Panagea; Martin J Walshaw; C Anthony Hart; Robert Geffers; Burkhard Tümmler; Craig Winstanley
Journal:  J Bacteriol       Date:  2005-07       Impact factor: 3.490

4.  Hypermutation is a key factor in development of multiple-antimicrobial resistance in Pseudomonas aeruginosa strains causing chronic lung infections.

Authors:  María D Maciá; David Blanquer; Bernat Togores; Jaume Sauleda; José L Pérez; Antonio Oliver
Journal:  Antimicrob Agents Chemother       Date:  2005-08       Impact factor: 5.191

Review 5.  Bacterial hypermutation in cystic fibrosis, not only for antibiotic resistance.

Authors:  A Oliver; A Mena
Journal:  Clin Microbiol Infect       Date:  2010-07       Impact factor: 8.067

6.  High frequency of hypermutable Pseudomonas aeruginosa in cystic fibrosis lung infection.

Authors:  A Oliver; R Cantón; P Campo; F Baquero; J Blázquez
Journal:  Science       Date:  2000-05-19       Impact factor: 47.728

7.  Biological cost of hypermutation in Pseudomonas aeruginosa strains from patients with cystic fibrosis.

Authors:  Sara Montanari; Antonio Oliver; Paola Salerno; Ana Mena; Giovanni Bertoni; Burkhard Tümmler; Lisa Cariani; Massimo Conese; Gerd Döring; Alessandra Bragonzi
Journal:  Microbiology       Date:  2007-05       Impact factor: 2.777

8.  Genetic adaptation of Pseudomonas aeruginosa to the airways of cystic fibrosis patients is catalyzed by hypermutation.

Authors:  A Mena; E E Smith; J L Burns; D P Speert; S M Moskowitz; J L Perez; A Oliver
Journal:  J Bacteriol       Date:  2008-10-10       Impact factor: 3.490

9.  Population structure and antimicrobial susceptibility of both nonpersistent and persistent Pseudomonas aeruginosa isolates recovered from cystic fibrosis patients.

Authors:  Ana Fernández-Olmos; María García-Castillo; José María Alba; María Isabel Morosini; Adelaida Lamas; Beatriz Romero; Juan Carlos Galán; Rosa del Campo; Rafael Cantón
Journal:  J Clin Microbiol       Date:  2013-06-12       Impact factor: 5.948

10.  Pseudomonas aeruginosa exhibits frequent recombination, but only a limited association between genotype and ecological setting.

Authors:  Timothy J Kidd; Stephen R Ritchie; Kay A Ramsay; Keith Grimwood; Scott C Bell; Paul B Rainey
Journal:  PLoS One       Date:  2012-09-06       Impact factor: 3.240

View more
  29 in total

Review 1.  Pseudomonas aeruginosa AmpR: an acute-chronic switch regulator.

Authors:  Deepak Balasubramanian; Hansi Kumari; Kalai Mathee
Journal:  Pathog Dis       Date:  2015-02-26       Impact factor: 3.166

2.  VIM-2-Producing Pseudomonas spp. in Uruguay: Sequence Types, Pulsotypes, and Class 1 Integrons Including New Variable Regions Featuring blaVIM-2 and blaGES-7.

Authors:  Romina Papa Ezdra; Inés Bado; Nicolás Cordeiro; Claudia Gutierrez; Patricia Hitateguy; Verónica Seija; Rafael Vignoli
Journal:  Antimicrob Agents Chemother       Date:  2016-08-22       Impact factor: 5.191

3.  Sequential Treatment of Biofilms with Aztreonam and Tobramycin Is a Novel Strategy for Combating Pseudomonas aeruginosa Chronic Respiratory Infections.

Authors:  Estrella Rojo-Molinero; María D Macià; Rosa Rubio; Bartolomé Moyà; Gabriel Cabot; Carla López-Causapé; José L Pérez; Rafael Cantón; Antonio Oliver
Journal:  Antimicrob Agents Chemother       Date:  2016-04-22       Impact factor: 5.191

4.  Genomics and Susceptibility Profiles of Extensively Drug-Resistant Pseudomonas aeruginosa Isolates from Spain.

Authors:  Ester Del Barrio-Tofiño; Carla López-Causapé; Gabriel Cabot; Alba Rivera; Natividad Benito; Concepción Segura; María Milagro Montero; Luisa Sorlí; Fe Tubau; Silvia Gómez-Zorrilla; Nuria Tormo; Raquel Durá-Navarro; Esther Viedma; Elena Resino-Foz; Marta Fernández-Martínez; Claudia González-Rico; Izaskun Alejo-Cancho; Jose Antonio Martínez; Cristina Labayru-Echverria; Carlos Dueñas; Ignacio Ayestarán; Laura Zamorano; Luis Martinez-Martinez; Juan Pablo Horcajada; Antonio Oliver
Journal:  Antimicrob Agents Chemother       Date:  2017-10-24       Impact factor: 5.191

Review 5.  Epidemiology, Biology, and Impact of Clonal Pseudomonas aeruginosa Infections in Cystic Fibrosis.

Authors:  Michael D Parkins; Ranjani Somayaji; Valerie J Waters
Journal:  Clin Microbiol Rev       Date:  2018-08-29       Impact factor: 26.132

6.  N-acetylcysteine selectively antagonizes the activity of imipenem in Pseudomonas aeruginosa by an OprD-mediated mechanism.

Authors:  Jerónimo Rodríguez-Beltrán; Gabriel Cabot; Estela Ynés Valencia; Coloma Costas; German Bou; Antonio Oliver; Jesús Blázquez
Journal:  Antimicrob Agents Chemother       Date:  2015-03-23       Impact factor: 5.191

Review 7.  Recent advances in acoustic microfluidics and its exemplary applications.

Authors:  Yue Li; Shuxiang Cai; Honglin Shen; Yibao Chen; Zhixing Ge; Wenguang Yang
Journal:  Biomicrofluidics       Date:  2022-06-13       Impact factor: 3.258

8.  Antibiotic Resistance in Pseudomonas.

Authors:  Pablo Laborda; Sara Hernando-Amado; José Luis Martínez; Fernando Sanz-García
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

9.  Antimicrobial Susceptibility of Pseudomonas aeruginosa Isolated from Cystic Fibrosis Patients in Northern Europe.

Authors:  Muhammad-Hariri Mustafa; Hussein Chalhoub; Olivier Denis; Ariane Deplano; Anne Vergison; Hector Rodriguez-Villalobos; Michael M Tunney; J Stuart Elborn; Barbara C Kahl; Hamidou Traore; Francis Vanderbist; Paul M Tulkens; Françoise Van Bambeke
Journal:  Antimicrob Agents Chemother       Date:  2016-10-21       Impact factor: 5.191

Review 10.  Advances in understanding Pseudomonas.

Authors:  Burkhard Tümmler; Lutz Wiehlmann; Jens Klockgether; Nina Cramer
Journal:  F1000Prime Rep       Date:  2014-02-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.