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The Epidemiology of Staphylococcus aureus and Panton-Valentine Leucocidin (pvl) in Central Australia, 2006-2010

BMC Infectious DiseasesBMC series – open, inclusive and trusted201616:382

https://doi.org/10.1186/s12879-016-1698-5

Received: 17 March 2016

Accepted: 8 July 2016

Published: 8 August 2016

Abstract

Background

The Central Australian Indigenous population has a high incidence of Staphylococcus aureus bacteremia (SAB) but little is known about the local molecular epidemiology.

Methods

Prospective observational study of bacteremic and nasal colonizing S.aureus isolates between June 2006 to June 2010. All isolates underwent single nucleotide polymorphism (SNP) genotyping and testing for the presence of the Panton-Valentine Leucocidin (pvl) gene.

Results

Invasive isolates (n = 97) were predominantly ST93 (26.6 %) and pvl positive (54.3 %), which was associated with skin and soft tissue infections (OR 4.35, 95 % CI 1.16, 16.31). Non-multiresistant MRSA accounted for 31.9 % of bacteremic samples and showed a trend to being healthcare associated (OR 2.16, 95 % CI 0.86, 5.40). Non-invasive isolates (n = 54) were rarely ST93 (1.9 %) or pvl positive (7.4 %).

Conclusions

In Central Australia, ST93 was the dominant S.aureus clone, and was frequently pvl positive and associated with an aggressive clinical phenotype. Whether non-nasal carriage is more important with invasive clones or whether colonization occurs only transiently remains to be elucidated.

Keywords

  • Staphylococcus aureus
  • Panton-Valentine Leucocidin
  • ST93

Background

Staphylococcus aureus remains one of the most clinically important bacteria. Approximately 60 % of humans are transiently colonized and up to 30 % remain colonized lifelong [1, 2]. Colonization conveys a significant risk of invasive disease [1] including S.aureus bacteremia (SAB), which continues to carry a significant risk of death [3].

Methicillin resistance in S.aureus is conveyed by the mecA gene, found on mobile genetic elements known as the staphylococcal chromosomal cassette (SCCmec) [2]. Initially, methicillin resistance was restricted to healthcare associated organisms (HA-MRSA) amongst SCCmec types I-III, but community acquired methicillin resistant S.aureus (CA-MRSA) have recently emerged (SCCmec IV or V). Such isolates often remain susceptible to non-beta-lactam antibiotics [2], hence their description as non-multiresistant (nm) MRSA. Although CA-MRSA were first reported in remote Australian Aboriginal communities [4], strains have now emerged independently worldwide. More recently, strains that express the Panton-Valentine leukocidin (pvl) gene show a propensity for skin and soft tissue infections (SSTI), especially furunculosis, and less commonly necrotizing pneumonia. Whether pvl toxin directly results in such presentations or is simply a virulence marker remains unclear. Furthermore, pvl is not restricted to MRSA [3].

S.aureus can be subtyped by multilocus sequence typing (MLST), by SCCmec gene and by the presence of pvl. Although different subtypes vary regionally, the genetically unique and highly virulent ST93 now predominates in Australia [5], a situation that is analogous to the dominance of USA300 in the USA [2].

Central Australia is an isolated region inhabited by a socially disadvantaged Indigenous population, mostly residing in isolated remote communities and to a lesser extent, in ‘town camps’ within the central town of Alice Springs. The non-Indigenous population predominantly lives in Alice Springs. The Indigenous population has among the highest incidence rates of SAB reported, 160.7 per 100,000 persons with more than 50 % attributable to SSTI and osteoarticular infections, approximately 20 % due to CA-MRSA [6], but the relative contribution of different MLST types and pvl are unknown. Given that methicillin resistance is common, efforts to isolate MRSA colonized patients within the hospital is standard practice. Whereas nasal colonization may play a role in HA-MRSA infections [1], its relevance in CA-MRSA is uncertain because strains often colonize sites other than the nasopharynx [3].

This study aimed to describe the molecular epidemiology of S.aureus in Central Australia and the rates of pvl amongst; (i) strains found on routine nasal screening and (ii) amongst bacteremic isolates.

Methods

We prospectively obtained all SAB isolates at Alice Springs Hospital (ASH) between 1st June 2006 and 31st January 2010 and separately collected all routinely performed intensive care unit screening nasal swabs performed between 1st May 2009 and 30th June 2010 where S.aureus was cultured. As per ASH admission criteria, those aged less than 14 years old were classified as pediatric.

Identification was initially by latex agglutination and DNAse testing. Antibiotic susceptibility was determined by Vitek (bioMerieux). MRSA was identified by cefoxitin resistance and nmMRSA was defined as an organism that was methicillin resistant but retained sensitivity to 3 or more non-beta-lactam antibiotics including gentamicin, trimethoprim-sulfamethoxazole, doxycycline, erythromycin, clindamycin, rifampicin, fusidic acid and ciprofloxacin [4].

S.aureus isolates were grown on horse-blood agar plates overnight at 37 °C. Five colonies from cultures were suspended in 180 μl of 200 μg/ml Lysostaphin enzyme solution, incubated at 37 °C for 30 minutes, before DNA was extracted using a QIAGEN QIAamp DNA Mini kit. Methicillin resistance was confirmed by the presence of the mecA gene, as determined by PCR [7].

Staphylococcal sequence types were determined by identifying sets of single nucleotide polymorphisms (SNPs) that have been previously demonstrated to differentiate Staphylococcus aureus strains into approximately 27 genotypes. These sequence types are consistent with those identified by the more involved multilocus sequence typing (MLST) and eBURST analysis [8], an algorithm that displays the likely pattern of genomic evolution of bacterial organisms [9]. “The “Minimum SNPs” program [10] was used to calculate SNP sets, from data held within the S.aureus MLST database, optimized through maximization of the Simpson’s index of diversity. SNP genotyping was performed using the single tube kinetic PCR (STKP) method [11] that allows for the examination of multiple targets using a generic mix of primers, streamlined into a single tube reaction [11]. The conventional “two-tube” interrogation was applied to verify allele-specific real-time PCR cycle times for S.aureus sequence type (ST) 1 [11] and for ambiguous SNP results. Thereafter the STKP method was employed to interrogate each S.aureus isolate. MLST was performed on selected isolates for ST and SNP profiling verification [12].

The ‘Queensland clone’, ST93, is a singleton by eburst analysis. The ST93 SNP profile is shared by clonal complexes ST59 and ST121 and other singletons. Minimum SNPs was used to demonstrate one further SNP (aroE252G) that when interrogated discriminated ST93 from all other known STs [11]. For ST-93 discrimination the DNA template was quantified using UV spectrophotometry before use in PCR. This correlated with the 59,121,133 SNP profile termed “ST93 related” in this study [11]. All isolates were tested for the presence of the pvl gene [13].

For all bacteremic episodes, records were reviewed for the source of infection, the presence of systemic inflammatory response syndrome (SIRS) criteria on admission, intensive care (ICU) admission, comorbidities and survival at 30 days and 12 months. Community acquisition of infection was defined when the blood culture was drawn within 48 hours of admission, nosocomial if after 48 hours, and healthcare associated infection in those receiving dialysis, those admitted for 2 or more days in the preceding 90 days or nursing home residents.

Clinical and laboratory staffs were blinded to the results of molecular studies and clinical details respectively.

Statistical analyses

Factors associated with pvl positive SAB strains were examined using univariable and multivariable logistic regression. Candidate predictors were identified for inclusion in the multivariable model using a combination of univariate performance (p < 0.10) and clinical relevance. A Hosmer and Lemeshow goodness-of-fit test was used to test the overall fit of the final logistic models. For all analyses, p < 0.05 was considered significant. All statistical analyses were performed using Stata version 11 (StataCorp, College Station, TX, USA). The study was approved by the Central Australian Human Research Ethics Committee. Individual informed consent was not required due to the observational nature of the study design.

Results

Ninety-seven bacteremic episodes (20 pediatric, 77 adult) were identified in 94 individuals, 86 (91.4 %) of which were Indigenous.

MSSA accounted for 68.1 % of all bacteremia samples. On univariate analysis, MSSA was more likely community acquired (OR 2.50; 95 % CI 1.00, 6.22). All MRSA identified were of a nmMRSA phenotype and there was a trend for nmMRSA to be healthcare associated (OR 2.16; 95 % CI 0.86, 5.40,). The presence of SIRS criteria on admission, ICU admission, requirement for surgery and 30 day mortality did not differ by resistance phenotype.

Pvl positive strains accounted for approximately half of all episodes (54.3 %), regardless of resistance phenotype (Table 1). Pvl positive disease was associated with community acquisition (OR 5.48; 95 % CI 2.06, 14.62) and an SSTI focus in adults (OR 9.33; 95 % CI 2.37, 36.81). Among children there was a trend for pvl positive SAB to result from osteoarticular infections (OR 12.50; 95 % CI 0.80, 194.35). Pvl positive strains were also more likely to require surgical intervention (OR 6.93; 95 % CI 2.44, 19.66). Mortality did not differ between groups (Table 1).
Table 1

Patient characteristics of SAB episodes according to pvl positivity

 

pvl Negative

pvl Positive

Total (94)

p-value

n (%)

n (%)

n (%)

 

Adult (36)

Paed (7)

Total (43)

Adult (39)

Paed (12)

Total (51)

  

Indigenous

30 (83.3 %)

7(100 %)

37 (86.1 %)

38 (97.4 %)

11 (91.7 %)

49 (96.1 %)

86 (91.5 %)

0.082

Age (range)

  

43.6 (0.42-95)

  

39.5 (3-76)

 

0.378

Male

22 (61.1 %)

3 (42.9 %)

25 (58.1 %)

25 (64.1 %)

8 (66.7 %)

33 (64.7 %)

58 (61.7 %)

0.514

RESIDENCE

 Remote

17/35a (48.6 %)

5 (71.4 %)

22/42a (52.4 %)

24 (61.5 %)

11 (91.7 %)

35 (68.6 %)

57 (61.3 %)

0.109

 Town Camp

6/35a (17.1 %)

1 (14.3 %)

7/42a (16.7 %)

11 (28.2 %)

0 (0 %)

11 (21.6 %)

18 (19.4 %)

0.552

 Alice Springs

10/35a (28.6 %)

1 (14.3 %)

11/42a (26.2 %)

3 (7.7 %)

1 (8.3 %)

4 (7.8 %)

15 (16.1 %)

0.017

 Nursing Home/Prison

2/35a (5.7 %)

0 (0 %)

2/42a (4.8 %)

1 (2.6 %)

0 (0 %)

1 (2.0 %)

3 (3.23 %)

0.447

STAPHYLOCOCCAL TYPING

 MecA

9 (25.0 %)

2 (28.6 %)

11 (25.6 %)

13 (33.3 %)

4 (33.3 %)

17 (33.3 %)

28 (29.8 %)

0.413

 ST93

1 (2.8 %)

0 (0 %)

2 (2.3 %)

20 (51.3 %)

4 (33.3 %)

24 (47.1 %)

25 (26.6 %)

<0.001

 ST93 or related

1 (2.8 %)

0 (0 %)

2 (2.3 %)

30 (76.9 %)

9 (75.0 %)

39 (76.5 %)

40 (42.6 %)

<0.001

FOCUS OF INFECTION

 SSTI

4 (11.1 %)

1 (14.3 %)

5 (11.6 %)

21 (53.9 %)

1 (8.3 %)

22 (43.1 %)

27 (28.7 %)

0.001

 Osteoarticular

5 (13.9 %)

2 (28.6 %)

7 (16.3 %)

5 (12.8 %)

10 (83.3 %)

15 (29.4 %)

22 (23.4 %)

0.134

 Pneumonia

3 (8.3 %)

1 (14.3 %)

4 (9.3 %)

6 (15.4 %)

0 (0 %)

6 (11.8 %)

10 (10.6 %)

0.700

 Endocarditis

3 (8.3 %)

0 (0 %)

3 (7.0 %)

0 (0 %)

0 (0 %)

0 (0 %)

3 (3.2 %)

0.055

 Line Related

9 (25.0 %)

0 (0 %)

9 (20.9 %)

2 (5.1 %)

0 (0 %)

2 (3.9 %)

11 (11.7 %)

0.011

ACQUISITION

 Community Acquired

10 (27.8 %)

6 (85.7 %)

16 (37.2 %)

27 (69.2 %)

12(100 %)

39 (76.5 %)

55 (58.5 %)

<0.001

 Healthcare Associated

25 (69.4 %)

1 (14.3 %)

26 (60.5 %)

12 (30.8 %)

0 (0 %)

12 (23.5 %)

38 (40.4 %)

<0.001

 Nosocomial

9 (25.0 %)

1 (14.3 %)

10 (23.3 %)

4 (10.3 %)

0 (0 %)

4 (7.8 %)

14 (14.9 %)

0.037

SEVERITY

 SIRS

22 (61.1 %)

5 (71.4 %)

27 (62.8 %)

2 (74.4 %)

9 (75.0 %)

38 (74.5 %)

65 (69.2 %)

0.220

 ICU admission

12 (33.3 %)

1 (14.3 %)

13 (30.2 %)

12 (30.8 %)

0 (0 %)

12 (23.5 %)

25 (26.6 %)

0.464

OUTCOME

 Surgery

7 (19.4 %)

2 (28.6 %)

9 (20.9 %)

21 (53.9 %)

12 (100 %)

33 (64.7 %)

42 (44.7 %)

<0.001

 30 day Mortality

4 (11.1 %)

1 (14.3 %)

5 (11.6 %)

2 (5.1 %)

0 (0 %)

2 (3.9 %)

7 (7.5 %)

0. 156

 12 month Mortality

10 (27.8 %)

1 (14.3 %)

11 (25.6 %)

5 (12.8 %)

0 (0 %)

5 (9.8 %)

16 (17.0 %)

0.055

Note: ST93 related includes ST93, ST59 and ST121

Abbreviations: pvl Panton Valentine Leucocidin gene, SSTI skin and soft tissue infection, SIRS systemic inflammatory response syndrome, ICU intensive care unit

aThe residence for 1 adult patient was unable to be determined

Of the 54 nasal colonization isolates, 43 (79.6 %) were from Indigenous patients and 30 (55.6 %) MRSA. Only four isolates were pvl positive (7.4 %) and one was an ST93 related strain. None of the colonized patients developed bacteremia during duration of the study.

SAB isolates were significantly more likely to be pvl positive (OR 14.83; 95 % CI 4.27, 51.42) and belong to ST93 (OR 9.42; 95 % CI 1.99, 44.57) or ST93 related strains (OR 19.26; 95 % CI 3.81, 97.45) (Table 1). Nasal colonizing organisms were more likely to be MRSA than bacteremic organisms (2.95; 95 % CI 1.43, 6.01).

The clonal complex (CC) distribution of bacteremic and colonizing isolates is shown in Fig. 1. In both cohorts, there was a broad range of strain types within the pvl negative MSSA group but a limited range in the pvl negative MRSA group. CC1, CC5 and CC239 were found in the pvl negative MRSA groups in both cohorts. The pvl positive ST93 related strains (CC 59/121/133) were the predominant strains found in MSSA bacteremia (53.1 %) and the second most common in MRSA bacteremia (23.3 %). Thirty-nine of 41 (95.1 %) bacteremic ST93 related isolates were pvl positive.
Figure 1
Fig. 1

Clonal complex (CC) distribution of bacteremic vs colonizing isolates

On multivariate regression, an identifiable focus of infection (OR 7.13; 95 % CI 1.28, 39.60), SSTI (OR 4.35; 95 % CI 1.16, 16.31) and community acquisition (OR 5.15; 95 % CI 1.85, 14.39) predicted pvl positive disease. Living in urban Alice Springs was associated with a lower chance of infection with a pvl positive strain compared with remote residence (OR 0.19; 95 % CI 0.04, 0.82).

Discussion

Even within a geographically isolated continent, such as Australia, S.aureus exhibits remarkable variability in resistance patterns, virulence and epidemiology [2]. In Central Australia, we found a diverse range of MSSA sequence types, however, ST93 was clearly dominant and was strongly associated with pvl positivity, which was a risk factor for bacteremia following SSTI.

These findings are consistent with the aggressive clinical phenotype of ST93 and with recent Australian trends [14]. ST93 nmMRSA are frequently pvl positive, but recent research increasingly suggests that other virulence factors (alpha-hemolysin (Hla) exotoxin and alpha type phenol soluble modulins (α-PSMs)) may explain the increased virulence of ST93 staphylococcal infections [14]. In particular, over-expression of Hla - perhaps due to mutations in the regulatory gene agr and positive regulation by the aryK gene – may explain much of ST93 virulence [15].

ST93 CA-MRSA appears to be unique to Australia [2], although ST93 MSSA were present prior to their MRSA counterpart’s discovery. The coexistence of MSSA and MRSA ST93, with diversity even within the sequence type, has led to suggestions that the increasing rates of ST93 is not simply the result of clonal expansion of a single strain but rather perhaps by multiple different independent acquisitions of SCCmec in different ST93-MSSA strains [5, 16].

Similar to national trends, there is an increasing prevalence of CA-MRSA in Central Australia, 32 % in this study compared with 20 % earlier in the same decade [6].Reflecting trends elsewhere in Australia [17] and in the USA [18], CA-MRSA in Central Australia appears to be associated with healthcare contact.

Although resistance phenotype was not a virulence marker, pvl was associated with distinct clinical presentations. Among adults, pvl positive strains more often caused SSTI and tended to be associated with osteoarticular infections in children [3]. Reflecting the propensity for pvl positive strains to cause local tissue destruction [3], these strains were also more likely to require surgical intervention. Consistent with other studies, we found very few (10) pneumonic presentations, even in the setting of pvl [3]. Overall, thirty-day mortality was lower than expected, probably attributable to the surgical removal of the infective focus in the large number of SSTIs.

Sequence types of colonizing strains were similar for pvl negative MSSA and MRSA. However, very few pvl positive strains were found and only one ST93 isolate colonized the nasopharynx. The relative lack of pvl positive colonization has been reported previously [3, 19]. The different spectrum of colonizing to bacteremic strains questions whether individuals with nasal MRSA are at risk of invasive disease in our setting. Infection control strategies have relied on nasopharyngeal carriage as the principal reservoir for MRSA and colonization results in an increased infection risk [1]. However nmMRSA is known to colonize non-nasal sites including the axilla, groin and perineum and this is perhaps even more likely with pvl positive strains [3]. Apparent differences in the ecology of invasive and colonizing strains suggests that relying on nasal screening for hospital infection control measures will have limited success in Central Australia. Whether pvl positive organisms preferentially colonize non-nasal sites or are so highly virulent that they rapidly cause clinical infection requires further study.

Interpretation of colonization data is limited by potential selection bias because nasal MRSA screening typically occurs for patients admitted to intensive care. Consequently, the number of subjects for whom S.aureus colonization was determined was low. Moreover, as no colonized patients developed bacteremia, we cannot determine whether virulent Staphylococci also colonized the nasopharynx of clinically infected individuals.

Conclusions

Our study further describes the expansion of nmMRSA, and the clinical impact of pvl positive S.aureus, particularly ST93, within an Indigenous population. The well documented rates of overcrowding, poor housing and poor access to hygiene infrastructure in Indigenous communities in Central Australia [20] are the perfect conditions to facilitate transmission of virulent S.aureus clones [21] and will likely contribute to increasing rates of nmMRSA and pvl associated disease in the future. The discrepancies in staphylococcal clones involved in bacteremia versus colonization warrant further investigation. Whether non-nasal carriage is more relevant or whether colonization with invasive clones occurs only transiently remains to be elucidated, but may impact on infection control practices in similar populations.

Abbreviations

ASH, Alice Springs Hospital; CA-MRSA, community acquired methicillin-resistant Staphylococcus aureus; CC, clonal complex; HA-MRSA, healthcare associated methicillin-resistant Staphylococcus aureus; ICU, intensive care unit; MLST, multilocus sequence typing; MRSA, methicillin resistant Stpahylococcus aureus; MSSA, methicillin sensitive Staphylococcus aureus; nmMRSA, non-multiresistant methicillin-resistant Staphylococcus aureus; PCR, polymerase chain reaction; pvl, Panton-Valentine Leucocidin; SAB, Staphylococcus aureus bacteremia; SCCmec, staphylococcal chromosomal cassette; SIRS, systemic inflammatory response syndrome; SNP, single nucleotide polymorphism; SSTI, skin and soft tissue infection; ST, sequence type; STKP, single tube kinetic PCR

Declarations

Acknowledgements

Not applicable.

Funding

This study received funding from the Northern Territory Rural Clinical School, which is an initiative of the Australian Department of Health and Ageing, and funding from NHMRC Project grant 1012945.

Availability of data and materials

The dataset supporting the conclusions of this article is not available due to issues of patient confidentiality.

Authors’ contributions

Study design: LE, DG. Acquisition of Data: JM, LE. Analysis of Data: TS, MW, DG. Drafting of Manuscript: SH, LE, MW, TS. Revision of Manuscript: SH, LE. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This study was approved by the Central Australian Human Research Ethics Committee. Individual informed consent was not required due to the observational nature of the study design.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Alice Springs Hospital, Alice Springs, Australia
(2)
Flinders University/Northern Territory Rural Clinical School, Alice Springs, Australia
(3)
SA Pathology, Adelaide, Australia
(4)
NT Pathology, Alice Springs, Australia
(5)
Baker IDI Heart and Diabetes Institute, Alice Springs, Australia

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Copyright

© The Author(s). 2016

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