Abstract
A rather fast and complicated progression of an infection caused by some strains of Staphylococcus aureus could be associated with the expression and co-action of virulence factor complexes in these strains. This study screened the antibiotic susceptibility and prevalence of virulence markers in isolates of meticillin-resistant S. aureus (MRSA) obtained from patients hospitalized at the University Hospital in Olomouc, Czech Republic. A total of 100 isolates was screened for 13 genes encoding extracellular virulence determinants (tst, pvl, eta, etb, sea, seb, sec, sed, see, seg, seh, sei and sej) and for their distribution in sample types. Eighty-nine isolates were positive for at least one of the genes. Genes for etb, pvl, see and seh were not detected in any of the MRSA isolates. No statistically significant differences in the occurrence of the determinants studied among sample types were found.
- MRSA, meticillin-resistant Staphylococcus aureus
- MSSA, meticillin-sensitive Staphylococcus aureus
- SSSS, staphylococcal scalded skin syndrome
INTRODUCTION
Staphylococcus aureus is one of the major nosocomial pathogens. Particular attention should be paid to meticillin-resistant S. aureus (MRSA). Resistance to meticillin is determined by the presence of the mecA gene encoding penicillin-binding protein with very low affinity to β-lactam antibiotics (Chambers, 1997). S. aureus produces a broad spectrum of extracellular and cell wall-associated virulence determinants (Foster, 2002). Among them, a wide variety of surface adhesins known as microbial surface components recognizing adhesive matrix molecules (MSCRAMMs) has been described (Patti et al., 1994).
The most common staphylococcal proteins anchored in the cell wall are proteins with affinity to fibrinogen (i.e. clumping factors A and B, encoded by the clfA and clfB genes, respectively), fibronectin (fnbA), collagen (cna), sialoprotein (bbp), elastin (ebpS) and adhesins with unknown function (sdrC and sdrE) (Jonsson et al., 1991; Josefsson et al., 1998; McDevitt et al., 1997; Ní Eidhin et al., 1998; Park et al., 1996; Speziale et al., 1986; Tung et al., 2000). The second group of virulence factors is represented by a family of bacterial proteins with superantigen activity: enterotoxins A–E, G–R and U (encoded by the genes sea–see, seg–ser and seu), toxic shock syndrome toxin-1 (TSST-1, encoded by tst), exfoliative toxins A and B (eta and etb) and other toxins such as α-, β-, γ- and δ-toxin and the Panton–Valentine leukocidin (pvl) (Arbuthnott et al., 1982; Bhakdi & Tranum-Jensen, 1991; Bohach et al., 1990; Prevost et al., 1995).
Apart from syndromes caused by toxin production, S. aureus pathogenesis results from synergistic interactions of a variety of the above-mentioned factors. Exfoliative toxin and pyrogenic toxin superantigen production enables S. aureus to cause staphylococcal scalded skin syndrome (SSSS), staphylococcal toxic shock syndrome and staphylococcal food poisoning. Experimental models indicate that the expression of receptors for fibrinogen and fibronectin is associated with endocarditis, whereas the presence of adhesins for sialoprotein, collagen and fibronectin is associated with arthritis and osteomyelitis (Cheung et al., 1995; Johansson et al., 2001; Tung et al., 2000).
The aim of this study was to screen MRSA isolates at the University Hospital, Olomouc, for antimicrobial sensitivity and for the presence of different virulence factors, and to analyse the presence of such factors, alone or in combination, in relationship to the localization of the bacteria in the host organism in order to predict potentially dangerous isolates.
METHODS
Bacterial isolates.
S. aureus isolates were acquired from clinical samples obtained consecutively at the Department of Microbiology, Faculty of Medicine and Dentistry, Palacký University, and the University Hospital, Olomouc, during 2005–2006. The most important aspects were the time interval and total number (n=100) of MRSA isolates. In the case of multiple isolates acquired from the same patient, the first detected isolate of MRSA was included in the study. The group of patients comprised 43 % males and 57 %, females, with a mean age of 51 years (range 21–84 years). Identification of isolates was carried out by standard microbiological techniques using the commercially produced tests STAPHYtest16 (Pliva-Lachema Diagnostika) and Staphaurex Plus (Remel), which are capable of detecting coagulase (clumping factor), protein A and other specific antigens characteristic of S. aureus.
Resistance to meticillin was verified by the microdilution method and by detection of the mecA gene. Meticillin-resistant isolates (n=100) were examined for the presence of various virulence factors by PCR. Quality-control strains for PCR detection of virulence factors and as a control of antibiotic resistance determination were obtained from the Czech Collection of Microorganisms [S. aureus strains: CCM 5756 (enterotoxin A), CCM 5757 (enterotoxin B), CCM 5971 (enterotoxin C), CCM 5973 (enterotoxin D), CCM 5972 (enterotoxin E), CCM 7058 (exfoliatins A and B), and ATCC 29213 and ATCC 25923 for the antibiotic resistance protocol quality control] and from Dr P. Petráš at the National Reference Laboratory for Staphylococci, National Institute of Public Health of the Czech Republic, Praha, Czech Republic (strains for enterotoxins E, G, H, I and J, TSST-1 and Panton–Valentine leukocidin).
Extraction of DNA.
A simplified rapid method for extraction of crude staphylococcal DNA was applied. Briefly, isolates were grown on blood agar (Becton Dickinson) for 24 h, and a single colony was picked, resuspended in 100 μl sterile deionized water and heated at 99 °C for 15 min with mild shaking in a Thermomixer comfort (Eppendorf). The tubes were then centrifuged (1006 g, 5 min) to remove the sediment and the supernatant containing the crude extract of bacterial DNA was transferred into a new tube and frozen until used for PCR amplification.
PCR amplification.
Several multiplex PCRs for the parallel detection of the presence of the following genes were performed: tst+sea+pvl, seg+sei, eta+etb, seh+sej, seb+see and sec+sed. In the case of unclear results, the presence of extracted bacterial DNA was confirmed by detection of the 16S rRNA gene with primers UNI_OL and UNI_OR (Sauer et al., 2005). Identification of S. aureus was confirmed by detection of the species-specific femB gene, and meticillin resistance was verified by amplification of the mecA gene (Kobayashi et al., 1994). The primers used are given in Table 1⇓.
Primers used for bacterial DNA and virulence factor complex detection
The reaction was performed in 50 μl containing: 5 μl 10× reaction buffer [100 mM Tris/HCl (pH 8.8), 500 mM KCl, 1 % Triton X-100, 15 mM MgCl2], 0.4 μl dNTPs (10 mM each), 50 pmol each forward and reverse primers, 2.5 U Taq polymerase and 1 μl crude bacterial DNA (dNTPs were obtained from Promega, other components were from Top-Bio). The reaction mixture was overlaid with 50 μl mineral oil (Top-Bio) and amplified with a hot start in a MiniCycler (MJ Research) with initial denaturation at 94 °C for 5 min, followed by 30 cycles of denaturation at 94 °C for 1 min, annealing at 56 or 58 °C for 1 min and extension at 72 °C for 1 min, with a final extension at 72 °C for 10 min. The annealing temperature of 56 °C applied to multiplex mixtures used to amplify tst+pvl+sea, seg+sei and seh+sej, whereas 58 °C applied to eta+etb, seb+see and sec+sed. For the sec+sed multiplex mixture, the concentration of sed primers was doubled compared with the concentration of sec primers as this gave a more balanced amplification.
PCR products were analysed by gel electrophoresis in 2 % (w/v) agarose gel. The size of the amplified products was estimated by comparison with a DNA ladder (200–1500 bp; Top-Bio). To confirm the identity of the amplicons, restriction analysis with XbaI, SmaI and HaeIII endonucleases was performed for randomly selected PCR products.
MIC determination.
Antibiotic susceptibility was assessed by a standard microdilution method (CLSI, 2007). The breakpoint values were set as follows: 0.5 mg l−1 for erythromycin and clindamycin, 1 mg l−1 for ciprofloxacin, 2 mg l−1 for tetracycline and vancomycin, 4 mg l−1 for chloramphenicol and gentamicin, 8 mg l−1 for teicoplanin and 32 mg l−1 for cotrimoxazole. These are breakpoints defined by the National Reference Laboratory for Antibiotics, National Institute of Public Health, Praha, Czech Republic, and are commonly used in the Czech Republic. The MIC50 and MIC90 values were calculated as 50 and 90 % of the values of the MICs of the respective antibiotics.
Detection of penicillin-binding protein 2a (PBP2a) in all S. aureus strains was performed by latex agglutination (MRSA-Screen test; Denka Seiken), an adequate alternative to PCR detection of the mecA gene (Cavassini et al., 1999; Felten et al., 2002). Susceptibility to clindamycin, if simultaneous with resistance to erythromycin, was verified by a modified disc diffusion test (D-test) (Rich et al., 2005). With respect to the importance of MRSA, the prevalence of virulence genes was analysed in relation to individual departments of the University Hospital, Olomouc (1433 beds, 157 intensive care beds), and in relation to clinical diagnoses.
PFGE analysis of macrorestriction patterns.
The isolates were investigated by PFGE of fragments obtained by SmaI digestion (Sigma-Aldrich) using the CHEF-DR II pulsed-field gel electrophoresis system (Bio-Rad). The preparation of intact DNA was performed according to Pantůček et al. (1996). Restriction cleavage of blocks with embedded DNA was carried out in restriction endonuclease solution (5 μl SmaI restriction buffer, 5 μl 0.1 % BSA, 50 μl deionized water and 10 U SmaI). The blocks were incubated at 30 °C overnight. PFGE was performed in a 1.2 % agarose gel (Bio-Rad) in 1× TBE buffer and was carried out for 28 h at 14 °C, with pulse times of 1–75 s, at 5.0 V cm−1 with λ DNA concatemers of 50–1000 kb (Sigma-Aldrich) as molecular mass markers. The gels were stained with ethidium bromide solution (1 μg ml−1; Sigma-Aldrich).
RESULTS AND DISCUSSION
It was confirmed that a simplified and rapid extraction method for DNA was sufficient for the screening of virulence factors by PCR in staphylococcal isolates. All primers produced amplicons of predicted sizes, and restriction analysis of randomly selected amplicons also resulted in fragments of the predicted sizes, i.e. 421 and 138 bp for the HaeIII-digested tst amplicon (559 bp), and 268 and 165 bp for the XbaI-digested pvl amplicon (433 bp). Further identification of S. aureus was carried out biochemically and by femB gene amplification. In the case of failed femB amplification, the presence of bacterial DNA was confirmed by PCR using the UNI_OL and UNI_OR primers, and biochemical identification of the isolate as S. aureus was reanalysed (eight cases). In all of these cases, other staphylococcal species were subsequently identified and the isolates were excluded from further study. Additional MRSA isolates were added to the study to substitute for these.
Antimicrobial determination
The resistance of S. aureus to meticillin was confirmed by detection of PBP2a and the mecA gene. The overall resistance to antibiotics is summarized in Table 2⇓. The highest numbers of resistant isolates were found in relation to ciprofloxacin (85.0 %), erythromycin (62.0 %) and clindamycin (60.0 %). No resistant isolates were recorded for vancomycin, teicoplanin and chloramphenicol.
Susceptibility of MRSA isolates to antibiotics, including the MIC range, MIC50 and MIC90 values
Eleven isolates of S. aureus showed susceptibility to clindamycin simultaneously with resistance to erythromycin. However, as the D-test was positive, the susceptibility to clindamycin was apparently false in nine of these (81.8 %). This type of MLSB (macrolide, lincosamide and streptrogramin B) resistance is caused by a change in the ribosome target site encoded by the erm gene (Rich et al., 2005). Phenotypically, it is manifested by resistance to erythromycin together with susceptibility to clindamycin (the inducible type). In the case of the inducible type, resistance cannot be demonstrated by the common disc diffusion or microdilution methods, so the D-test has to be used. If its result is positive, the clindamycin result must be changed to resistant. The results of testing antibiotic resistance to other antimicrobial agents showed good susceptibility to the agents with the exceptions of ciprofloxacin, erythromycin and clindamycin.
Frequency and distribution of virulence determinants
The prevalence of the detected genes among the studied isolates and the frequency of concurrent detection of various virulence factors are summarized in Table 3⇓. Whereas no copy of the pvl, etb, see or seh gene was detected in any of the isolates, the mecA and femB genes occurred in all isolates, in accordance with the fact that only MRSA strains were included in the study.
Prevalence of genes encoding virulence determinants and frequency of these genes occurring together in the same isolate
A relatively high number of gene pattern combinations were observed. None of the 13 genes encoding virulence determinants was detected in 11 of the 100 S. aureus isolates, whereas 1 gene was detected in 7 isolates. In all remaining isolates (n=82), more than one gene was present in the same isolate. Fifty-six isolates harboured two genes simultaneously, seven isolates harboured three genes and in eighteen isolates four genes were detected. One isolate possessed five virulence genes.
The seg virulence determinant was always associated with the sei gene present in 77 of the tested isolates, and this pair was also the most common single combination of genes (51.0 %). These genes (together with sem, sen and seo) belong to the same enterotoxin gene cluster (egc) and this phenomenon of parallel incidence has been described in published reports (Jarraud et al., 2001; Mempel et al., 2003). Furthermore, the sed+sej genes occurred together exclusively (17.0 % of the tested isolates).
When looking at the site of origin of MRSA isolates, two major locations could be distinguished, skin and wounds (58 isolates) and the respiratory tract (25 isolates). Of the 58 skin and wound swab isolates, 46 (79.3 %) were positive for the seg and sei genes, 9 (15.5 %) for the sej and sed genes, 7 (12.1 %) for the eta and sea genes, and 1 (1.7 %) for the tst gene. The seg and sei genes were found in 21 (84.0 %) of the 25 isolates from the respiratory tract, the sej and sed genes in 7 isolates (28.0 %), the sea and eta genes in 3 isolates (12.0 %), the seb gene in 2 isolates (8.0 %) and the sec gene in 1 isolate (0.4 %).
Differences in the occurrence of genes between skin and wounds versus the respiratory tract were not significant (P>0.05), as demonstrated by the χ2 test. The distribution of virulence genes in relation to diagnosis was not evaluated due to the very broad spectrum of underlying diagnoses.
The distribution of virulence determinants among isolates obtained from different types of clinical samples is summarized in Table 4⇓. The results of the incidence of these strains clearly showed that the highest incidence was observed in the department of surgery (36 %), the intensive care unit (22 %), the department of haemato-oncology (16 %) and the department of internal medicine (14 %). The incidence in other departments was 7 % (dermatology), 3 % (urology) and 2 % (neurology and orthopaedics). The diagnoses related to the incidence of MRSA were malignant diseases (26 %), traumas (24 %), diabetes mellitus (19 %), pneumonias (11 %), leg ulcers (9 %), bedsores (7 %) and others (4 %).
Incidence of genes encoding virulence determinants by the type of clinical sample
PFGE analysis of macrorestriction patterns
A comparison of 100 MRSA isolates revealed 46 different restriction patterns with 6 clonal types. Four isolates were repeatedly untypeable by PFGE. The majority of isolates (30) with the seg+sei genetic determinant were clustered in a single clonal type. Three isolates from this clonal type harboured an extra eta gene. The second most frequent clonal type included 11 isolates with the seg+sei and sed+sej genes. The other clonal types contained four (three sea+eta, one with only eta), four (seg+sei and sed+sej), four (seg+sei) and three members (seg+sei).
The emergence of isolates possessing a certain spectrum of virulence genes is worrying, especially in relation to the increasing frequency of nosocomial MRSA strains. Some of the toxins may play important roles in specific pathogenic processes. The Panton–Valentine leukocidin is produced by a large number of isolates from furuncles and carbuncles (Lina et al., 1999), the TSST-1 often occurs together with septic shock and toxic shock syndromes (Uchiyama et al., 1989), and exfoliative toxins are characteristic for isolates causing SSSS (Opal et al., 1988).
However, relatively little is known about the occurrence of virulence factors among MRSA isolates. More information is available on the distribution of virulence factors among S. aureus isolates with no emphasis on antibiotic susceptibility, among meticillin-sensitive S. aureus (MSSA) strains or in mixed collections with MRSA; therefore, we will discuss our results further in the context of both MRSA-specific and non-specific data on virulence.
The incidence of virulence genes found in this study compared with data in the literature is summarized in Table 5⇓. There is no higher association of the sed and sej genes with blood samples as found by Lehn et al. (1995).
Incidence of virulence genes found in this study compared with data in the literature
A higher occurrence of exfoliative toxins is associated with SSSS diagnosis, where eta is present at higher rates (De Azvavedo & Arbuthnott, 1981; Piemont & Monteil, 1983), but the prevalence shows geographical differences (in Japan, etb is more frequent) (Kondo et al., 1975; Murono et al., 1988). The higher incidence of eta in our isolates corresponds with data for geographical distribution together with etb for Germany (Elsner & Hartman, 1988) and France (Willard et al., 1982). Surprisingly, the occurrence of the eta gene was almost the same for skin/wound isolates (12.1 %), where it is associated with SSSS, as it was for isolates from the respiratory tract (12.0 %).
More than half of the studied isolates (56) were classified into six clonal types. This result corresponds with the relatively small size of the University Hospital in Olomouc. The prevalence of different virulence genes in the same clonal type was surprising. The most frequent clonal type containing the seg+sei genes was represented by 30 isolates, including 3 isolates with an extra eta gene. In these three isolates, the PCR was repeated to detect the eta gene. The phenomenon of macrorestriction profiles with no detectable changes could be explained by changes located in bands of lower molecular mass where smeared bands were often detected, by different plasmid content not detectable by PFGE, or, conversely, by genetic changes associated with recombination events of different variable genetic elements resulting in similar sizes of a macrorestriction fragment that could be more difficult to detect due to a negligible shift of the high-molecular-mass bands. Isolates with different virulence profiles but with the same macrorestriction profiles have been described in published reports (Issartel et al., 2005; Loncarevic et al., 2005).
This study contributes to the recognition of virulence gene prevalence among well-characterized MRSA clinical isolates in the Czech Republic. In conclusion, the prevalence of virulence genes in MRSA isolates is comparable with that reported for MSSA isolates in Germany and France. Different patterns of extracellular virulence factors were found in the studied group of isolates, and the fact that no highly virulent strains were detected among the MRSA isolates – suggesting an increased threat – from the University Hospital, Olomouc, between 2005 and 2006 can be viewed as the most positive outcome of the study.
Acknowledgments
This study was supported by the Czech Ministry of Health (NR 9065-3/2006) and the Czech Ministry of Education, Youth and Sports (MSM6198959223). We are grateful to P. Petráš for kindly providing staphylococcal reference strains and K. Langová for statistical analysis.