Literature DB >> 30886703

High prevalence of direct repeat unit types of 10di, 8 h and 8i among methicillin resistant Staphylococcus aureus strains with staphylococcal cassette chromosome mec type IIIA isolated in Tehran, Iran.

Mitra Motallebi1,2, Fereshteh Jabalameli3, Reza Beigverdi3, Mohammad Emaneini3.   

Abstract

Background: The emergence of methicillin-resistant Staphylococcus aureus (MRSA) is a main concern in burn care centers worldwide. The some reports of MRSA in Iran suggested that MRSA with type SCCmec III is common among burn patients. The aim of this study was to determine the prevalence, virulence genes, and antimicrobial susceptibility of the direct repeat units (dru) types of MRSA with SCCmec IIIA isolated from burn wounds in a burn care center in Tehran, Iran.
Methods: In total, 165 S. aureus isolates were collected from clinical samples. In order to detect MRSA isolates, the mecA gene was amplified through the polymerase chain reaction (PCR) method. Antimicrobial susceptibility was tested using the disc agar diffusion test. Moreover, the PCR method was applied to determine SCCmec types, virulence genes, and antimicrobial resistance genes. The dru region was sequenced and thereby, dru types and dru repeats were identified. A similarity matrix was used to create minimum spanning tree (MST).
Results: The prevalence of MRSA was 69% (114 out of 165 isolates). Most of MRSA isolates (61 out of 114, 53.5%) were SCCmec type IIIA. All MRSA isolates were vancomycin-susceptible and more than 68% of MRSA isolates with SCCmec type IIIA were mupirocin resistant. The successful dru typing of isolates with SCCmec type IIIA revealed fourteen different dru types. There were two new dru types, namely dt10di and dt7aj. MST analysis indicated the presence of the three clusters of dt10di (cluster I), dt8i-dt8 h (cluster II), and dt11c-dt10ao-dt11dd-dt11a-dt10a (cluster III). There were significant differences between clusters I and II respecting antimicrobial resistance pattern and virulence genes.
Conclusion: Three main dru clusters are prevalent in the study setting. The main dru types in the setting are dt10di, dt8i, and dt8 h. Dru typing can be used to differentiate MRSA strains with SCCmec IIIA.

Entities:  

Keywords:  Dru type; Methicillin-resistant Staphylococcus aureus; SCCmec typing; Virulence factor

Year:  2019        PMID: 30886703      PMCID: PMC6404295          DOI: 10.1186/s13756-019-0501-y

Source DB:  PubMed          Journal:  Antimicrob Resist Infect Control        ISSN: 2047-2994            Impact factor:   4.887


Background

Staphylococcus aureus (S. aureus) is one of the most common causes of infection among patients with severe burn wounds [1, 2]. Colonization of burn wounds with S. aureus can cause septicemia and substantially increase mortality rate [3]. The pathogenicity of S. aureus strains depends on different virulence factors such as Panton-Valentine leukocidin (PVL), staphylococcal enterotoxins, and hemolysins alpha, beta, gamma, and delta [4]. One of the major concerns in the treatment of infections is antimicrobial resistance, particularly to methicillin [5, 6]. Methicillin resistance is encoded by the mecA gene. In 2011, a second gene, mecC has been discovered that also causes methicillin/beta-lactam resistance. Both genes are situated on large, potentially mobile genetic elements, so-called SCCmec elements (staphylococcal cassette chromosome mec) [7, 8]. So far, thirteen main types of SCCmec have been identified [9]. These types differ from each other in size and genetic composition. Some studies reported that MRSA with SCCmec III is the most prevalent type of S. aureus in burn care centers in some countries of the world [2, 10–12]. The few reports of MRSA in Iran also suggested that MRSA with type SCCmec III is common among burn patients [13, 14]. mecC MRSA represent a recently recognised form of MRSA, encoding a divergent mec gene, which can colonise and cause disease in humans and a wide range of other host species [8]. A variable number of tandem repeats region including 40-bp of direct repeat units (dru) has been detected downstream to the mecA gene close to IS431 in the SCCmec element. The sequencing of this region can be used for detecting and subtyping methicillin-resistant S. aureus (MRSA) [15, 16]. A study reported that the dru typing of ST239 MRSA isolates provided the clearest distinction between SCCmec IIIA and III isolates [17]. Dru types are stable enough and hence, can be used in epidemiological analyses [16, 18]. Despite the high prevalence of MRSA with SCCmec III in burn care centers, there is limited information about its dru types. Therefore, the present study was conducted in a burn care center in Tehran, Iran, to determine the prevalence, virulence genes, and antimicrobial susceptibility of the dru types of MRSA with SCCmec IIIA isolated from burn wounds.

Materials and methods

Bacterial isolates

In total, 165 non-duplicate S. aureus isolates were collected using sterile swab from burn wound infections in a burn care center in Tehran, Iran. Sampling was done in four consecutive trimesters from June 2013 to June 2014. Isolates were primarily identified as S. aureus based on colony morphology, Gram staining, and catalase, coagulase, mannitol fermentation, and deoxyribonuclease tests [19]. Then, the identity of S. aureus isolates was confirmed through the amplification of the femA gene based on the polymerase chain reaction (PCR) method and using primers explained in an earlier work [20]. After that, in order to identify MRSA isolates, the mecA gene was detected using specific primers [21, 22]. Finally, MRSA isolates were subjected to further testing.

Antimicrobial susceptibility tests

The antimicrobial susceptibility of MRSA isolates was tested via the disc diffusion method on Mueller-Hinton agar based on the guideline recommended by the Clinical and Laboratory Standards Institute (CLSI) [23]. The discs used in this study were cotrimoxazole 25 μg, erythromycin 15 μg, clindamycin 2 μg, mupirocin 5 μg, rifampin 5 μg, linezolid 30 μg, and quinupristin-dalfopristin 15 μg (MAST, Merseyside, England). The microbroth dilution method was also used to determine the antimicrobial minimum inhibitory concentration (MIC) of oxacillin and vancomycin (Sigma, Steinheim, Germany). The control strain was S. aureus ATCC 29213. Moreover, the PCR method was employed to amplify the ermA, ermC, blaZ, and mupA genes using specific primers [24].

SCCmec typing and detection of virulence genes

SCCmec types were determined through the Multiplex-PCR as described elsewhere [21, 25]. The PCR method was used to detect the genes encoding haemolysins (hla, hlb), toxic shock syndrome toxin (tst), exfoliative toxin A (eta), staphylococcal enterotoxins (sea, seb and sec), and Panton–Valentine leukocidin (pvl) among isolates with SCCmec type III [22, 26, 27].

Dru typing

Dru region was detected using the primers HVR1:59 ACTATTCCCTCAGGCGTCC 39 and HVR2:59 GGAGTTAATCTACGTCTCATC 39 [28]. The sequencing of all PCR products was performed on both strands through the same primers used in the primary PCR. The ChromasPro software (Technelysium Pty, Australia) was employed to analyze and align sequences. New repeats were confirmed through re-sequencing. Then, the nomenclature published by Goering et al. [16] (available at www.dru-typing.org) was used to detect and name dru repeats (dr, 40 bps) and dru types (dt, the combination of dru repeats). A minimum spanning tree (MST) was also created via the BioNumerics software v. 7.6.1 (Applied Maths, Austin, USA) and distance intervals were created using a bin distance of 1.0%. Clustering was done based on the distances among dru types. Accordingly, dru types, separated by a single MST distance, were considered to be closely related to each other and hence, were assigned to an identical cluster.

Data analysis

Data were presented using the measures of descriptive statistics. Moreover, the Fisher’s exact test was conducted for categorical comparisons. The level of significance was set at less than 0.05.

Results

Among 165 S. aureus isolates, 114 (69%) were MRSA. Most of MRSA isolates (61/114; 53.5%) were SCCmec type IIIA. Also, twenty (17.5%) were identified as SCCmec type V, two (1.7%) as SCCmec type I, and 31 (27.2%) as non-typable. All MRSA isolates showed susceptibility to vancomycin (MIC50 ≤ 1 μg/ml, MIC90 ≤ 2 μg/ml), while most MRSA isolates (68%) were resistant to mupirocin. All MRSA isolates were resistant to cefoxitin and more than 73% of them were resistant to erythromycin and clindamycin. Moreover, around 53% of MRSA isolates were resistant to mupirocin and trimethoprim-sulfamethoxazole. However, only a few of MRSA isolates showed resistance to rifampin (22%), quinupristin/dalfopristin (2%), and linezolid (2%). The MIC of oxacillin in 100% of MRSA isolates was higher than 64 μg/mL and all of isolates were susceptible to vancomycin. The most prevalent antimicrobial resistance gene was blaZ which was found in 85% of isolates followed by ermA, mup and ermC which were found in 65, 64 and 57% of isolates, respectively. The most prevalent genes encoding virulence factors in MRSA isolates were hla (61%), hlb (44%), sea (23%) and seb (2%), respectively. The sec, eta, tst, and pvl genes were not detected in any of MRSA isolates in this study. As Table 1 shows, all dru types of SCCmec type III were successfully identified, which included fourteen different dru types with fifteen dru repeats. Among the identified dru types, two were new (dt10di and dt7aj). The most prevalent dru types among SCCmec type IIIA isolates were dt10di, dt8 h, and dt8i. Each minor dru type was observed only in one isolate.
Table 1

Antimicrobial resistance pattern, antibiotic resistance genes, virulence genes, and dru types in MRSA isolates with type III SCCmec

Sampling TimeSample no.Dru typeClusterAntibiotic resistanceAntibiotic resistance genesVirulence genes
First trimester110diIE, CD, TS, MUP ermA, ermC, blaZ sea
210diIE, CD, TS, MUP ermC, blaZ hla, sea
311ddIIIE, CD, TS, SYN, MUP ermA, mup hla, hlb
410diIE, CD, TS, MUP ermA, ermC, blaZ, mup
57ajE, CD, TS, MUP ermA, ermC, blaZ hla, sea
610diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
710diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
814 kE, CD, TS, MUP ermC, blaZ sea
911cIIIE, CD, TS, MUP ermA, ermC, blaZ, mup
1010diIE, CD, TS, MUP ermA, ermC, blaZ hla, hlb, seb
1110diIE, CD, TS, MUP ermA, ermC, blaZ hla, seb
1211aIIIE, TS, MUP blaZ, mup
135 kE, CD, TS, MUP ermA, ermC, blaZ, mup
1410diIE, CD, TS, MUP ermA, blaZ, mup sea
1510diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
1610diIE, CD, TS, MUP ermA, ermC, blaZ
1710diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
Second trimester1810diIE, CD, TS, MUP ermC
1910diIE, CD, TS, MUP ermA, ermC, blaZ, mup
2010diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
2110diIE, CD, TS, MUP blaZ sea
2210diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
2310diIE, CD, TS, MUP ermA, ermC, mup hla, sea
2410diIE, CD, TS, MUP ermC, blaZ hla, sea
2510diIE, CD, TS, MUP ermA, blaZ Sea, seb
2610aoIIIE, CD, MUP ermA, ermC, mup
2710diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, hlb, sea
2810diISYN, MUP ermC, blaZ, mup sea
2910diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
3010diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla
3110diIE, CD, TS, MUP ermA, ermC, blaZ sea
3210diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
338afE, CD, RP, MUP ermC, blaZ, mup
3410diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
Third trimester3510diIE, CD, TS, MUP ermC, blaZ
3610diIE, CD, TS, MUP ermA, ermC, mup
3710diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
3810diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, hlb, sea
3910diIE, CD, TS, MUP ermA, ermC, blaZ hla, hlb, sea
4010aIIIMUP ermA, ermC, blaZ, mup hla
4110diIE, CD, TS, MUP ermC, blaZ, mup seb
4210diIE, CD, TS, SYN, LZD, RP, MUP ermA, ermC, blaZ, mup
4310diIE, CD, TS, MUP ermA, ermC sea
4410diIE, CD, TS, MUP ermA, ermC
4510diIE, CD, TS ermA, ermC, blaZ, mup hla, hlb
4610diIE, CD, TS, MUP ermA, ermC, blaZ, mup hla, sea
4710diIE, CD, TS, MUP ermA, ermC, blaZ hla, sea
4810diIE, CD, TS, MUP mup
4910cE blaZ sea
Forth trimester508iIIE, TS, MUP ermA, ermC, blaZ, mup hla, hlb
518 hII blaZ, mup hla
526d ermA, blaZ, mup hla, hlb
538iIICD ermA, ermC, mup hla, hlb
548iIIE, CD, TS, MUP ermA, ermC, blaZ hla, hlb, sea
558 hIIE, TS, RP, MUP blaZ hlb, sea
568 hIIE, CD, TS, RP, MUP ermA, ermC, blaZ, mup sea
578 hIIE, CD, TS, RP, MUP ermC
5810diIE, CD, TS, MUP ermA, ermC, blaZ, mup
598iIIE, CD, TS, RP, MUP ermA, ermC, blaZ hla, hlb
6010diIE, CD, TS, MUP ermA, ermC, blaZ, mup
618 hIIE, CD, TS, RP, MUP ermC

FOX: Cefoxitin, E: Erythromycin, CD: Clindamycin, TS: trimethoprim/ Sulfamethoxazole, RP: Rifampicin,

SYN: quinupristin/dalfopristin, LZD: Linezolid, MUP: Mupirocin

Antimicrobial resistance pattern, antibiotic resistance genes, virulence genes, and dru types in MRSA isolates with type III SCCmec FOX: Cefoxitin, E: Erythromycin, CD: Clindamycin, TS: trimethoprim/ Sulfamethoxazole, RP: Rifampicin, SYN: quinupristin/dalfopristin, LZD: Linezolid, MUP: Mupirocin MST analysis revealed three clusters of SCCmec type IIIA, namely dt10di (cluster I), dt8i-dt8 h (cluster II), and dt11c-dt10ao-dt11dd-dt11a-dt10a (cluster III) (Fig. 1). Analysis of dru types indicated that cluster I was the most prevalent dru cluster in the first nine months of the study (i.e. from June 2013 to February 2014), while cluster II was the most prevalent cluster in the last trimester of the study (i.e. from March to May 2014) (Table 1).
Fig. 1

Minimum Spanning Tree generated using the BioNumerics software representing the fourteen dru types and the fifteen dru repeats observed in the studied isolates. Numerical values on the branches indicate the similarities (MST distance) between different dru types. BioNumerics software created similarity values (termed bins) and converted these values into distance units. The bin unit distance was set at 1% (i.e., dru types at a distance of 1 on the MST had a similarity of more than 99%, while dru types at a distance of 2 had a similarity of 98–99%, and so on). Dru types were assigned to the same cluster (depicted in color) if they were separated by an MST distance of 1 (i.e. if they showed a similarity of at least 99%)

Minimum Spanning Tree generated using the BioNumerics software representing the fourteen dru types and the fifteen dru repeats observed in the studied isolates. Numerical values on the branches indicate the similarities (MST distance) between different dru types. BioNumerics software created similarity values (termed bins) and converted these values into distance units. The bin unit distance was set at 1% (i.e., dru types at a distance of 1 on the MST had a similarity of more than 99%, while dru types at a distance of 2 had a similarity of 98–99%, and so on). Dru types were assigned to the same cluster (depicted in color) if they were separated by an MST distance of 1 (i.e. if they showed a similarity of at least 99%) The results of antimicrobial susceptibility tests on clusters I and II indicated that resistance to rifampin in cluster II was significantly higher than cluster I (P = 0.003). Moreover, the results of virulence gene analysis illustrated the significantly higher prevalence of the virulence gene hlb in cluster II compared with cluster I (P = 0.01). Analysis of antimicrobial susceptibility pattern indicated that 92% of isolates in cluster I were resistant to erythromycin, clindamycin, cotrimoxazole, and mupirocin. On the other hand, 44% of isolates in cluster II showed resistance to erythromycin, clindamycin, cotrimoxazole, rifampin, and mupirocin. Analysis of the patterns of antimicrobial resistance gene also showed that the most prevalent patterns in clusters I and II were ermA + ermC + blaZ + mup and ermA + ermC + blaZ, respectively. Moreover, the greatest frequency of virulence gene patterns in these two clusters was respectively related to hla + sea and hla + hlb. However, the sec, eta, tst, and pvl genes were detected in none of the MRSA isolates.

Discussion

This study aimed to determine the prevalence, virulence genes, and antimicrobial susceptibility of the dru types of MRSA with SCCmec III isolated from burn wounds in a burn care center in Tehran, Iran. Study results illustrated that the prevalence of MRSA among patients with burn wounds was 69%. This prevalence rate is higher than the rates reported in earlier studies in Iran [20, 29, 30], except for a study in burn centers in Ahvaz which reported a prevalence rate of 80% [31]. Moreover, the prevalence of MRSA in the present study was higher than the rates reported in burn centers in the United States (32%), European countries (26%), and Australia (23%) [32-34]. This difference can be attributed to the differences in infection control policies used in different areas. Our study also showed that a high proportion of MRSA isolates harbored SCCmec type IIIA. Similarly, studies in Iran and other Asian countries reported the high prevalence of SCCmec type IIIA [13, 35–37]. SCCmec types III and IIIA were also detected in Hungarian and Brazilian clones [36]. MRSA isolates with SCCmec types III can act as large reservoirs of enterotoxins and antimicrobial resistance and prevail in communities. Our previous survey shown that the sea, hla, fib and icaA were most frequent genes encoding virulence factors among MRSA with SCCmec type IIIA [4]. Therefore, accurate diagnosis and effective control strategies are essential to minimize their prevalence. Otherwise, they may become prevalent and cause serious consequences in a near future. None of the MRSA isolates in the present study were resistant to vancomycin. Although MRSA non-resistance to vancomycin in our study supports the effectiveness of this antibiotic in managing MRSA, this antibiotic should be prescribed with great caution in order to prevent the emergence of vancomycin-resistant S. aureus. The prevalence of MRSA resistance to mupirocin in the present study was 68%. However, earlier studies reported lower rates of MRSA resistance to mupirocin. For instance, studies on burn patients in England, India, and Iran reported that this rate was 5.1, 22.7, and 34%, respectively [31, 38, 39]. The use of mupirocin for treating burn wound infections caused by S. aureus might have caused resistance to mupirocin among MRSA isolates. Previous studies in the setting of the present study showed Pseudomonas aeruginosa as one the main causes of burn wound infection in recent years [40, 41]. Of course, there are no detailed data about the use of mupirocin in the study setting. However, a study reported a substantially high prevalence of mupirocin-resistant MRSA among patients previously treated with mupirocin. Similarly, a high likelihood of mupirocin resistance was observed among patients with Pseudomonas infection treated with cefepime [42]. Mupirocin is produced by the Gram-negative bacterium Pseudomonas fluorescens and hence, Pseudomonas is inherently resistant to mupirocin [43, 44]. Furthermore, the mupA gene, which mediates mupirocin resistance in Pseudomonas, can move between bacterial isolates and thereby, cause mupirocin resistance in other isolates such as MRSA [45-47]. Our results also indicated dt10di, dt8 h, and dt8i as the most prevalent dru types in MRSA with SCCmec type IIIA (Fig. 1). The dru type dt10di (i.e. cluster I) was mostly prevalent in the first nine months of the study, while the dru types dt8 h and dt8i (i.e. cluster II) were mostly prevalent in the last trimester. These findings may be due to the fact that the dru types dt8 h and dt8i might have been entered to the study setting in the last trimester or might have been emerged as a result of the polymorphism of dt10ao dru type. Unlike our results, a study in Malaysia reported nine dru types in SCCmec type III, the most prevalent of which was the dt13d dru type (41%) [17]. Moreover, a study in Scotland detected 25 dru types and 33 dru repeats, with the dt10a and dt7c as the most prevalent dru types, respectively [16]. The greater number of dru types and dru repeats in that study compared to our study can be due to the fact that samples in the present study were selected from a single hospital, while samples in that study were selected from different hospitals. The results of the present study also indicated the higher prevalence of cluster II in the last three months of the study. This may denote the increasing prevalence of this cluster. Moreover, compared with cluster I, cluster II had higher resistance to rifampin. Besides, the presence of the hlb gene was more prevalent in cluster II. The most prevalent antimicrobial resistance pattern in cluster I was erythromycin+clindamycin+cotrimoxazole+mupirocin, while the most prevalent antimicrobial resistance pattern in cluster II was erythromycin+clindamycin+cotrimoxazole+rifampin+mupirocin. The latter finding confirms the higher resistance to rifampin in cluster II. Of course, the number of samples in cluster II was small and hence, further studies with larger samples are recommended. Virulence gene patterns in clusters and dru types in the present study showed that the most prevalent virulence gene patterns in cluster I were hla + sea (39%) and sea (12%), while the most prevalent virulence gene pattern in cluster II was hla + hlb (33.3%) (Data were not presented). Besides, hla + hlb virulence genes in the dt8i dru type were more prevalent than the other dru types. Considering the significant roles of these genes in exacerbating skin infections, the prevalence of these strains can complicate the conditions of patients with burn wound infections. Of course, because of the small sample size in cluster II, drawing definitive conclusions in this area is impossible.

Conclusion

This study shows the high prevalence of SCCmec IIIA among MRSA strains isolated from burn wounds in a teaching hospital in Tehran, Iran. These strains are highly resistant to multiple antibiotics. The three most common dru types among these strains are dt10i, dt8 h, and dt8i. Clusters with these dru types significantly differ from each other respecting their antimicrobial resistance patterns.
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