Literature DB >> 27247944

Diversity of Virulence Factors Associated with West Australian Methicillin-Sensitive Staphylococcus aureus Isolates of Human Origin.

Charlene Babra Waryah1, Jully Gogoi-Tiwari1, Kelsi Wells1, Karina Yui Eto1, Elnaz Masoumi1, Paul Costantino1, Michael Kotiw2, Trilochan Mukkur1.   

Abstract

An extensive array of virulence factors associated with S. aureus has contributed significantly to its success as a major nosocomial pathogen in hospitals and community causing variety of infections in affected patients. Virulence factors include immune evading capsular polysaccharides, poly-N-acetyl glucosamine, and teichoic acid in addition to damaging toxins including hemolytic toxins, enterotoxins, cytotoxins, exfoliative toxin, and microbial surface components recognizing adhesive matrix molecules (MSCRAMM). In this investigation, 31 West Australian S. aureus isolates of human origin and 6 controls were analyzed for relative distribution of virulence-associated genes using PCR and/or an immunoassay kit and MSCRAMM by PCR-based typing. Genes encoding MSCRAMM, namely, Spa, ClfA, ClfB, SdrE, SdrD, IsdA, and IsdB, were detected in >90% of isolates. Gene encoding α-toxin was detected in >90% of isolates whereas genes encoding β-toxin and SEG were detectable in 50-60% of isolates. Genes encoding toxin proteins, namely, SEA, SEB, SEC, SED, SEE, SEH, SEI, SEJ, TSST, PVL, ETA, and ETB, were detectable in >50% of isolates. Use of RAPD-PCR for determining the virulence factor-based genetic relatedness among the isolates revealed five cluster groups confirming genetic diversity among the MSSA isolates, with the greatest majority of the clinical S. aureus (84%) isolates clustering in group IIIa.

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Year:  2016        PMID: 27247944      PMCID: PMC4876210          DOI: 10.1155/2016/8651918

Source DB:  PubMed          Journal:  Biomed Res Int            Impact factor:   3.411


1. Introduction

Staphylococcus aureus is a frequent opportunistic pathogen known to cause a wide variety of diseases ranging from skin infections such as boils and carbuncles to more serious infections such as toxic shock syndrome, endocarditis, pneumonia, and sepsis [1-4]. This has led to the emergence of S. aureus as a common cause of hospital acquired and community acquired infections [5, 6]. The pathogenesis of S. aureus is attributed to several virulence factors including biofilm formation and associated prolonged persistence of antibiotic resistance and the production of a wide array of toxins [5, 7]. A biofilm or slime, defined as a congregation of microorganisms residing in a protective extracellular matrix [8, 9], constitutes the first step in initial attachment followed by colonization and subsequent infection. Colonization is commonly associated with an assortment of adherence factors or adhesins which aid bacterial attachment to the host surface using microbial surface component recognizing adhesive matrix molecules (MSCRAMM). Over 20 different MSCRAMM, which can be expressed in S. aureus, have been identified [10]. Major protein adhesins in this group include biofilm-associated protein (Bap), clumping factors A and B (ClfA, ClfB), fibronectin binding proteins A and B (FnBPA, FnBPB), collagen binding protein (Cna), bone sialoprotein binding protein (Bbp), iron regulated surface determinants A and B (IsdA, IsdB), serine aspartate repeat gene proteins D and E (SdrD, SdrE), and Protein A (Spa) [11-14]. Following adherence, the biofilm is further strengthened by an intracellular adhesin encoded by the ica operons (icaA, icaB, icaC, and icaD genes) which produce the cell surface polysaccharide poly-N-acetyl β-1-6 glucosamine (PNAG) and another antigen 336, a derivative of cell wall teichoic acid [13, 15, 16]. A strong relationship between PNAG and biofilm formation, although not absolute, was previously reported [8, 17]. In addition to the possession of MSCRAMM, S. aureus also produces a range of exotoxins that aid in host tissue membrane disruption providing nutrients essential for bacterial cell growth [18, 19] with some also contributing to biofilm formation. Exotoxins produced include cytotoxins, Panton Valentine Leucocidin (PVL), and hemolysins (α, β, and γ), which possess the ability to form pores in host cells enabling lysis [20, 21]. Additional toxins encoded for and/or produced include toxic shock syndrome toxin (TSST-1) and the staphylococcal enterotoxins or SE (SEA-SEE, SEG-SEJ), some of which are best characterized as superantigens in reference to their ability to activate the proliferation of T-cells leading to release of increasing levels of proinflammatory cytokines [22, 23]. These also include the rare and virulent exfoliative toxins ETA and ETB [24]. The increasing trend towards development of persistent antibiotic resistance improves the ability of this pathogen to resist treatment with antibiotics [5, 25] a fundamental feature in the development of chronic infections. Aim of this study was to determine the diversity of distribution of the major MSCRAMM and toxins among the West Australian S. aureus isolates of human origin, using serological and/or genotypic analysis and determine their genetic relatedness.

2. Materials and Methods

2.1. Collection of Strains

A total of 19 human S. aureus strains donated by different clinical pathology laboratories to the School of Biomedical Sciences in West Australia were kindly donated by Mr. Alain Delhaize, Senior Technical Manager, responsible for managing this collection. The remaining 12 S. aureus isolates were collected from the laboratory medicine students enrolled in medical microbiology (Human Ethics approval number SoBS 04/11) and 5 accredited capsular (CP) positive or negative control strains were kindly provided by Professor Gerald Pier, Channing Laboratory, Brigham and Women's Hospital. The 5 accredited CP positive or negative control strains used in this investigation included Strain M (CP1), Smith Diffuse (CP2), Strain Newman (CP5), USA 400 (CP8), and LAC USA 300 (CP neg). The 6th control strain was ATCC® 29213™, a strong biofilm former. All strains were subjected to preliminary microbiological testing to confirm S. aureus [26] and methicillin-sensitivity (MSSA) as described elsewhere [5]. All S. aureus strains were stored at −80°C on cryobeads (Blackaby Diagnostic Pty Ltd., WA) for future studies. Positive ATCC toxin typing controls used in this study were ATCC 13565™ for β-hemolysin, ATCC 49775™ for PVL and γ-hemolysin, ATCC 51651™ for TSST-1, and ATCC 8096™ for α-hemolysin.

2.2. Bacterial Strain Growth

Pure colonies of S. aureus strains were inoculated in sterile nutrient broth dispensed in McCartney vials and incubated at 37°C for 24 hrs in a shaker incubator.

2.3. DNA Extraction

All strains were subjected to DNA extraction using the Mo-Bio DNA Extraction Kit (MO BIO Laboratories, Inc., Carlsbad, CA). All extracts were stored at −20°C until used.

2.4. Detection of Genes Encoding PVL and mecA

Utilization of the GenoType® MRSA assay (Hain Lifesciences) was used for detection of PVL and the presence of methicillin resistance. Briefly, DNA was isolated from cultured media and amplified with biotinylated primers. The amplified product was bound using a DNA strip technology that permitted visual identification of the presence of mecA and PVL genes in S. aureus.

2.5. Detection of S. aureus Enterotoxins

A SET-RPLA Toxin Detection Kit purchased from Thermo Fisher Scientific Australia was used to serologically type SEA, SEB, SEC, and SED. Briefly, latex sensitized with a combination of antienterotoxin A–D types serially diluted and added to the bacterial suspension. After 24 hrs incubation at room temperature, each well was observed for agglutination, which indicated the presence of enterotoxins.

2.6. Genotyping of S. aureus Strains

Determination of the presence of enterotoxins, mentioned in Section 2.5, was further confirmed by genotyping. Because the scope of detection of the exotoxins produced by the S. aureus isolates was limited because of the lack of availability of serological kits, the presence of a number of other toxins, described below, was carried out by genotyping. The primers used in this investigation with their respective melting temperature (T ), band size, and references are shown in Table 1. Briefly, the conditions used for detection of different virulence factors were as follows.
Table 1

Primers used for detection of exotoxins and MSCRAMM using conventional PCR.

Proteins targetedPrimer forward (5′-3′)Primer reverse (5′-3′) T m Expected band size (bp)Reference
Cna Collagen binding proteinAAA GCG TTG CCT AGT GGA GAAGT GCC TTC CCA AAC CTT TT50°C192[1]
ClfA Clumping factor ACGC CGG TAA CTG GTG AAG CTTGC TCT CAT TCT AGG CGC ACT T55°C314[27]
ClfB Clumping factor BATG ATC TTG CTT GCG TTCCG ATT CAA GAG TTA CAC C47°C215 [27]
Spa Protein ATCA AGC ACC AAA AGA GGA AGAGTT TAA CGA CAT GTA CTC CGT TG51°CVariable[28]
FnBPA Fibronectin binding protein AGCG GAG ATC AAA GAC AACCA TCT ATA GCT GTG TGG48°C1279[29]
FnBPB Fibronectin binding protein BGGA GAA GGA ATT AAG GCGGCC GTC GCC TTG AGC GT56°C820[29]
Bbp Bone sialoprotein binding proteinAAC TAC ATC TAG TAC TCA ACA ACA GATG TGC TTG AAT AAC ACC ATC ATC T53°C575[30]
IsdA Iron regulated surface determinant ACTG CGT CAG CTA ATG TAG GATGG CTC TTC AGA GAA GTC AC52°C332[25]
IsdB Iron regulated surface determinant BACG AGA GTT TGG TGC GCT ATGTT GAG GCC CCT ACT TCT GA55°C192This study
SdrD Serine aspartate repeat gene DCGG AGC TGG TCA AGA AGT ATTGC CAT CTG CGT CTG TTG TA52.3°C500[25]
SdrE Serine aspartate repeat gene EAGA AAG TAT ACT GTA GGA ACT GGAT GGT TTT GTA GTT ACA TCG T50°C433[31]
TSST-1 Toxic shock syndrome toxinACC CCT GTT CCC TTA TCA TCTTT TCA GTA TTT GTA ACG CC53°C326[32]
ETA Exfoliative toxin AGCA GGT GTT GAT TTA GCA TTAGA TGT CCC TAT TTT TGC TG58°C93[33]
ETB Exfoliative toxin BACA AGC AAA AGA ATA CAG CGGTT TTT GGC TGC TTC TCT TG58°C226[33]
Hla Alpha toxinGTA CTA CAG ATA TTG GAA GCGTA ATC AGA TAT TTG AGC TAC47°C274[34]
Hlb Beta toxinGCC AAA GCC GAA TCT AAGCGC ATA TAC ATC CCA TGG C51°C840[29]
SEA Staphylococcal enterotoxin ATTG GAA ACG GTT AAA ACG AAGAA CCT TCC CAT CAA AAA CA50°C120[35]
SEB Staphylococcal enterotoxin BTCG CAT CAA ACT GAC AAA CGGCA GGT ACT CTA TAA GTG CC50°C478[35]
SEC Staphylococcal enterotoxin CGAC ATA AAA GCT AGG AAT TT AAA TCG GAT TAA CAT TATA CC 50°C257[35]
SED Staphylococcal enterotoxin DCTA GTT TGG TAA TAT CTC CTTAA TGC TAT ATC TTA TAG GG50°C317[35]
SEE Staphylococcal enterotoxin EAGG TTT TTT CAC AGG TCA TCCCTT TTT TTT CTT CGG TCA ATC50°C209[35]
SEG Staphylococcal enterotoxin GAAG TAG ACA TTT TTG GCG TTC CAGA ACC ATC AAA CTC GTA TAG C55°C287[35]
SEH Staphylococcal enterotoxin HGTC TAT ATG GAG GTA CAA CAC TGAC CTT TAC TTA TTT CGC TGT C48.4°C213[35]
SEI Staphylococcal enterotoxin IGGT GAT ATT GGT GTA GGT AACATC CAT ATT CTT TGC CTT TAC CAG50°C454[35]
SEJ Staphylococcal enterotoxin JCAT CAG AAC TGT TGT TCC GCT AGTGA ATT TTA CCA TCA AAG GTA C50°C142[35]
Amplification of TSST-1, clfA, clfB, can, and spa was performed at 95°C for 5 min, 30 cycles of 95°C for 30 sec, T for 30 sec, and 72°C for 45 sec with a final extension of 72°C for 10 min. Amplification of fnBpA, fnBpB, hlb, sdrE, bbp, isdA, and sdrD and sdrE genes was performed at 95°C for 5 min, 35 cycles of 95°C for 30 sec, T for 30 sec, and 72°C for 45 sec with a final extension of 72°C for 10 min. Primers for isdB were developed in this study and amplified with the following conditions at 35 cycles of 95°C for 30 sec, T for 1 min, and 72°C for 2 min with a final extension of 72°C for 10 min. Amplification of hla genes was performed at 95°C for 5 min, 38 cycles of 95°C for 30 sec, T for 30 sec, and 72°C for 45 sec with a final extension of 72°C for 10 min. While amplification of sea, seb, sec, sed, see, seg, seh, sei, and sej was performed at 95°C for 5 min, 30 cycles of 95°C for 2 min, T for 1 min, and 72°C for 1 min with a final extension of 72°C for 5 min, amplification of eta and etb was performed at 95°C for 5 min, 30 cycles of 95°C for 1 min, 58°C for 1 min, and 72°C for 1 min with a final extension of 72°C for 10 min. Amplification of hlb was performed at 95°C for 5 min, 35 cycles of 95°C for 45 sec, T for 45 sec, and 72°C for 1 min with a final extension at 72°C for 10 min. All PCR products were subjected to electrophoresis on a 1.5% agarose gel and stained with 0.8 μL/100 mL of Midori Green DNA Stain (Nippon Genetics) in a 1x Sodium Borate Buffer (1x SB Buffer). O'RangeRuler DNA Ladder, 100–1500 bp (Fermentas), was used to observe approximate band sizes on the gel which was visualised on UV transilluminator.

2.7. RAPD Analysis

Three sequence primers previously published were used for RAPD-PCR test to provide more information on clinical, student, and control strains used in this study [36]. Primers C (5′-AGGGAACGAG-3′), OPA9 (5′-GGGTAACGCC-3′), and OPA13 (5′-CAGCACCCAC-3′) were used for amplification using 1 cycle of 94°C for 60 sec, 35 cycles of 94°C for 35 sec, 33°C for 30 s, and 72°C for 65 sec, followed by 1 cycle of 72°C for 7 min [36]. All PCR products were run on a 1% agarose gel in 1x SB Buffer. Gel was stained with Midori Green and viewed under UV transilluminator. Bacterial DNA was randomly selected to run in duplicate to ensure reproducibility of amplification. Bands were scored in binary code with a factor of 1 representing presence of band and a factor of 0 representing absence of bands. Results of the 3 primer sets were banded to produce a dendrogram using UPMA (DenoUPMA, http://genomes.urv.cat/UPGMA/index.php) and using the Jaccard coefficient to determine the relatedness and level of similarity between the isolates used in this study.

3. Results and Discussion

Several MSCRAMM were detected by genotyping in a high percentage of S. aureus isolates. These included genes encoding the proteins ClfA, ClfB, Spa, SdrD, SdrE, IsdA, and IsdB (Table 2). On the other hand, genes encoding the Bbp, FnBpB, and Cna proteins were detectable in less than 50% of the isolates, gene encoding FnBpA protein being detectable in the smallest percentage of the isolates.
Table 2

Distribution of MSCRAMM detected by genotyping.

Gene encodingNumber of positive isolates (%)
SpaA28 (90.32%)
FnBPA2 (6.45%)
FnBPB13 (41.93%)
Cna12 (38.71%)
ClfA26 (83.87%)
ClfB27 (87.1%)
SdrD28 (90.32%)
SdrE30 (96.77%)
Bbp14 (45.16%)
IsdA28 (90.32%)
IsdB30 (96.77%)
The average number of MSCRAMM detected in this study was approximately 7, with 27 strains having a range of >6–10 (data not shown). In only 4/31 strains, 5 MSCRAMM or less were detected. Compiled results for MSCRAMM typing are shown in Table 2. Among the toxins, the most prevalent toxin detected by genotyping among the S. aureus isolates was α-toxin, 2nd and 3rd most prevalent detected toxins being the enterotoxin G and β-toxin (Table 3). The genes encoding other toxins were prevalent in less than 30% of the isolates, with the lowest ones being the exfoliative toxins A and B. No strain was positive for genes encoding PVL toxin.
Table 3

Distribution of different toxins detected by genotyping and/or serotyping.

Encoding geneNumber of positive isolates (%)
Staph enterotoxin A8 (25.8%)
Staph enterotoxin B6 (19.35%)
Staph enterotoxin C3 (9.68%)
Staph enterotoxin D0 (0%)
Staph enterotoxin E0 (0%)
Staph enterotoxin G19 (61.29%)
Staph enterotoxin H4 (12.9%)
Staph enterotoxin I9 (29.03%)
Staph enterotoxin J0 (0%)
TSST-18 (25.8%)
PVL0 (0%)
Alpha toxin30 (96.77%)
Beta toxin13 (49.93%)
Exfoliative toxin A1 (3.23%)
Exfoliative toxin B1 (3.23%)
Twenty-three strains possessed genes encoding 2–4 different types of toxins. Only 3 strains possessed the gene for one toxin and 5 strains expressed genes for >5 toxins. The average number of toxins produced by the S. aureus strains in this study was 3 toxins (data not shown). The SET-RPLA Toxin Detection Kits were able to detect fewer toxins as compared to SE genotyping (Table 4). Of the 8 SEA positive S. aureus strains, only 3 were detected in serotyping and, of 6 SEB positive strains, only 1 was detected in serotyping (Table 4). Of the 3 SEC positive strains, only 2 were detected by serotyping; however the genotyping and serotyping correlated with 0 positives by both methods (not significant at p < 0.05 level but substantial at p < 0.06).
Table 4

Correlation of serotyping versus genotyping methods for the major superantigenic enterotoxins.

ToxinSerotyping (n = 31)Genotyping (n = 31)Pearson correlation coefficient r
SEA3 (9.68%)8 (25.8%)0.553
SEB1 (3.23%)6 (19.35%)0.371
SEC2 (6.45%)3 (9.7%)0.891
SED0 (0%)0 (0%)Not possible to calculate r value but it can be assumed to be 1.0
PCR typing was more sensitive than immunoassays in detecting the genes associated with toxin production. Accredited test capsular control strains were not positive for genes encoding SED, SEE, PVL, ETA, or ETB. All test control strains were positive for α and β and the TSST toxins and Spa, ClfA, ClfB, SdrE, and SdrD MSCRAMM (Table 5).
Table 5

Typing of control S. aureus strains.

Control stainDetectable toxin genes
ATCC 29213SEA, SEC, SEG, SEI, TSST, α-toxin, β-toxin
Strain M (CP1)SEA, SEC, SEG, SEH, SEI, TSST, α-toxin, β-toxin
Smith Diffuse (CP2)SEA, SEB, SEC, SEG, SEH, SEI, TSST, α-toxin, β-toxin
Strain Newman (CP5)SEA, SEG, SEI, TSST, α-toxin, β-toxin
USA 400 MW2 (CP8)SEA, SEC, SEG, SEH, TSST, α-toxin, β-toxin
LAC USA 300 (CP neg)SEG, SEH, SEI, TSST, α-toxin, β-toxin

Control strainDetectable MSCRAMM

ATCC 29213FnBPA, Spa, ClfA, ClfB, Bbp, SdrE, SdrD, IsdA
Strain M (CP1)FnBPA, Spa, Cna, ClfA, ClfB, SdrE, SdrD, Bbp, IsdA
Smith Diffuse (CP2)FnBPA, FnBPB, Spa, Cna, ClfA, ClfB, SdrE, SdrD, IsdA
Strain Newman (CP5)FnBPB, Spa, Cna, ClfA, ClfB, SdrE, SdrD, Bbp
USA 400 MW2 (CP8)FnBPA, Spa, Cna, ClfA, ClfB, SdrE, SdrD, Bbp, IsdA
LAC USA 300 (CP neg)FnBPA, FnBPB, Spa, Cna, ClfA, ClfB, SdrE, SdrD, Bbp
Smith Diffuse S. aureus (CP2) expressed 9 MSCRAMM and 9 toxins, the highest of the control strains. Strain M (CP1) expressed 9 MSCRAMM and 8 toxins, USA 400 MW2 (CP8) expressed 9 MSCRAMM and 7 toxins, LAC USA 300 (CP neg) expressed 9 MSCRAMM and 6 toxins, ATCC 29213 expressed 8 MSCRAMM and 7 toxins, and Strain Newman (CP5) expressed 8 MSCRAMM and 6 toxins. Amplification with primers OPA09 and OPA13 yielded 4 RAPD patterns from 3 distinct bands each whereas amplification with primer C yielded 6 RAPD patterns from 4 distinct bands. Presence or absence of bands resulted in binary data that was analyzed to produce a dendrogram. Using RAPD analysis, 5 cluster groups displaying the distribution of MSCRAMM and toxins between the groups were discernible (Figure 1).
Figure 1

RAPD-based dendrogram indicating the genetic relatedness among S. aureus isolates including the control isolates.

The cluster cut-off point was determined at 33% level of similarity (0.333) resulting in 5 major cluster groups (Table 6), namely, Cluster of Ia and Ib (level of similarity 0.667 to 0.800), Cluster of IIa and IIb (level of similarity 0.333 to 0.750), Cluster of IIIa and IIIb (level of similarity 0.333 to 1.000), Cluster of IVa and IVb (level of similarity 0.500–0.600), and Cluster of V (level of similarity 1.000), which were used to compare the cluster groups (Table 6).
Table 6

Distribution of the known MSCRAMM and toxins produced by the strains used in this study.

GroupStrains and subgroups (n)MSCRAMMToxins
IGroup Ia (3) FnBPA, FnBPB, Spa, Cna, ClfA, ClfB, SdrE, SdrD, Bbp, IsdA, IsdBSEA, SEC, SEG, SEH, SEI, TSST, α-toxin, β-toxin, ETA, ETB
Group Ib (2) FnBPB, Spa, Cna, ClfA, ClfB, SdrE, SdrD, Bbp, IsdA, IsdB SEB, SEG, SEH, SEI, TSST, α-toxin, β-toxin

IIGroup IIa (2) FnBPa, FnBPB, SpA, ClfA, ClfB, SdrE, SdrD, IsdA, IsdBSEB, SEG, TSST, α-toxin
Group IIb (1) FnBPB, SdrE, SdrD, IsdA, IsdBSEC, α-toxin

III Group IIIa (18) FnBPA, FnBPb, SpA, ClfA, ClfB, Cna, Bbp, SdrE, SdrD, IsdA, IsdBSEA, SEB, SEC, SEH, SEI, TSST, α-toxin, β-toxin
Group IIIb (1) Spa, Cna, ClfA, ClfB, SdrE, SdrD, IsdA, IsdBSEC, SEG, TSST, α-toxin

IV Group IVa (5) FnBPA, FnBPB, Spa, ClfA, ClfB, SdrE, SdrD, Bbp, IsdA, IsdBSEA, SEC, SEG, SEH, SEI, TSST, α-toxin, β-toxin
Group IVb (4)FnBPA, FnBPB, Cna, Spa, ClfA, ClfB, SdrE, SdrD, Bbp, IsdA, IsdBSEA, SEC, SEG, SEH, SEI, TSST, α-toxin, β-toxin

VGroup V (1) FnBPA, FnBPB, SpA, Cna, Clfa, Clfb, SdrE, SdrD, Bbp, IsdA, IsdBSEA, SEB, SEC, SEG, SEH, SEI, TSST, α-toxin, β-toxin
It can be seen that the majority of S. aureus isolates were clustered into group IIIa, with 58% (18/31) of the isolates displaying clonal similarity of MSCRAMM and toxins. The majority of clinical strains (16/19) were clustered in group IIIa suggesting a common source of infection of patients in hospitals (Table 7). Student strains, on the other hand, were dispersed into several cluster groups (Ia, IIa, IIb, IIIa, IIIb, Iva, and IVb) indicating multiple potential sources for acquisition of infection. The control strains were clustered in groups Ia, IVa, and IVb.
Table 7

Cluster groups of clinical versus student versus control strains.

Cluster groupsClinical strains (n = 19)Student strains(n = 12)Control strains(n = 6)
Ia111
1b200
IIa020
IIb010
IIIa1620
IIIb010
IVa032
IVb022
V001
Greater diversity of cluster groups associated with the student MSSA isolates also indicated greater diversity of their clonal origins. MRSA strains are known to be highly clonal [37]. However, unlike the diversity reported recently with MSSA isolates in Europe, genetic diversity of virulence factors associated with clonal complexes of West Australian MSSA isolates has not yet been reported. Vandendriessche et al. [38] demonstrated high genetic diversity of MSSA carriage isolates from animals and humans on pig, veal, dairy, beef, and broiler farms using spa typing and multilocus sequence typing (MLST). These studies supported a previous report [39] on the heterogeneity and genetic diversity of MSSA isolated from clinical specimens in a teaching hospital in Germany using spa typing, MLST, and enterotoxin genotyping. In contrast, the genetic diversity of the MSSA isolates determined in this investigation was determined based on the prevalence of both MSCRAMM and enterotoxin genotyping. A large array of virulence factors [12, 15, 19] is involved in the pathogenesis of infections caused by S. aureus. Whether the information gained in this study on the relative prevalence of the genes encoding different virulence antigens and confinement of the majority of WA clinical isolates to a single cluster group (IIIa) offers an opportunity for formulation of potential strategies for the development of an effective vaccine capable of combatting infections caused by this pathogen in Western Australia remains to be determined. Strategies used for the development of vaccines against infections caused by S. aureus targeting a limited number of single antigens is unlikely to be effective for global vaccine usage because of differences in the distribution of genes encoding different virulence factors participating in the establishment of infection. Of interest is a relatively recent study in which patients afflicted with S. aureus bacteremia were reported to display different antibody responses to 19 different MSCRAMM of each bacterial strain that was isolated from these patients [25]. Ideally, an effective S. aureus vaccine must generate protective immunity that can neutralize the major exotoxins and interfere with adhesion facilitated by the major MSCRAMM participating in attachment/colonization of this pathogen to the niche host tissue. Many different types of vaccines including MSCRAMM-based vaccines [40], capsular polysaccharide, and/or PNAG-based conjugate vaccines [3, 15, 40] involving conjugation of one to 3 MSCRAMM [27, 40] or selected inactivated toxins including α-toxin encoded by the hla gene [3, 28, 40–43] have been evaluated using passive and/or active immunization of mice. However, none of these vaccines were considered to be providing satisfactory protection raising doubts on the possibility of ever developing an effective vaccine against S. aureus infections for use in humans [44], particularly after the report of antigenic competition subsequent to coadministration of CP-based and PNAG-based conjugate vaccines [45]. Fortunately, not all the potential options for the development of an effective vaccine against infections caused by S. aureus have been exhausted if one was to take the relative distribution/prevalence and cluster grouping of virulence antigens among the clinical isolates into account for the development of a universal vaccine against infections caused by S. aureus.
  44 in total

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1.  Pan-genome Analyses of the Species Salmonella enterica, and Identification of Genomic Markers Predictive for Species, Subspecies, and Serovar.

Authors:  Chad R Laing; Matthew D Whiteside; Victor P J Gannon
Journal:  Front Microbiol       Date:  2017-07-31       Impact factor: 5.640

2.  Characteristic profiles of biofilm, enterotoxins and virulence of Staphylococcus aureus isolates from dairy cows in Xinjiang Province, China.

Authors:  Yehui Wu; Jing Li; Mengfan Qiao; Dan Meng; Qingling Meng; Jun Qiao; Xingxing Zhang; Lixia Wang; Kuojun Cai; Jinsheng Zhang; Zaichao Zhang; Weiwei Yu; Xuepeng Cai
Journal:  J Vet Sci       Date:  2019-11       Impact factor: 1.672

3.  Interaction of human hemoglobin and semi-hemoglobins with the Staphylococcus aureus hemophore IsdB: a kinetic and mechanistic insight.

Authors:  Eleonora Gianquinto; Ilaria Moscetti; Omar De Bei; Barbara Campanini; Marialaura Marchetti; F Javier Luque; Salvatore Cannistraro; Luca Ronda; Anna Rita Bizzarri; Francesca Spyrakis; Stefano Bettati
Journal:  Sci Rep       Date:  2019-12-09       Impact factor: 4.379

4.  Genome-Wide Profiling of Enterotoxigenic Staphylococcus aureus Strains Used for the Production of Naturally Contaminated Cheeses.

Authors:  Guerrino Macori; Alberto Bellio; Daniela Manila Bianchi; Francesco Chiesa; Silvia Gallina; Angelo Romano; Fabio Zuccon; Raúl Cabrera-Rubio; Alexandra Cauquil; Déborah Merda; Fréderic Auvray; Lucia Decastelli
Journal:  Genes (Basel)       Date:  2019-12-27       Impact factor: 4.096

5.  Design and High Expression of Non-glycosylated Lysostaphins in Pichia pastoris and Their Pharmacodynamic Study.

Authors:  Wenluan Shen; Na Yang; Da Teng; Ya Hao; Xuanxuan Ma; Ruoyu Mao; Jianhua Wang
Journal:  Front Microbiol       Date:  2021-03-18       Impact factor: 5.640

6.  Evaluation of methicillin-resistant Staphylococcus virulence genes and antibiotics susceptibility in Iranian population.

Authors:  Shahnaz Armin; Abdollah Karimi; Zahra Pourmoghaddas; Leila Azimi; Fatemeh Fallah; Sahel Valadan Tahbaz
Journal:  J Res Med Sci       Date:  2022-05-30       Impact factor: 1.985

  6 in total

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