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Description and Interrelationship Analysis of the Phenotypic and Genotypic Characteristics of MSSA and MRSA Strains Isolated from Healthcare Workers in North-Eastern Brazil

Maraiza Alves De Oliveira1, Yasmin Monara Ferreira De Sousa Andrade2, Alisson Da Costa Souza1, Icaro Bonyek Santos Da Silva2, Guilherme Barreto Campos3, Lucas Miranda Marques3, Grace Anne Azevedo Doria1, Rafael Ciro Marques Cavalcante1*

1 Federal University of Sergipe, Campus Professor Antônio Garcia Filho. Lagarto, Sergipe, Brazil. Governador Marcelo Déda, 13, Centro, 49400-000. Lagarto, Sergipe, Brazil. Programa de Pós-graduação em Ciências aplicadas à Saúde

2 Instituto Gonçalo Muniz, Fundação Oswaldo Cruz, Salvador, Brazil. Waldemar Falcao Street, 121, Candeal, 40296- 710. Salvador, Bahia, Brazil

3 Multidisciplinary Institute of Health, Federal University of Bahia (UFBA), Vitória da Conquista, Brazil

*Corresponding Author:
Rafael Ciro Marques Cavalcante
Federal University of Sergipe, Campus Professor Antônio Garcia Filho. Lagarto, Sergipe, Brazil. Governador Marcelo Déda, 13, Centro, 49400-000. Lagarto, Sergipe, Brazil. Programa de Pós-graduação em Ciências aplicadas à Saúde E-mail: rafaelciro@academico.ufs.br

Received: 09-Mar-2023, Manuscript No. JMB-23-91260; Editor assigned: 13-Mar-2023, PreQC No. JMB-23-91260(PQ); Reviewed: 27-Mar-2023, QC No. JMB-23-91260; Revised: 03-Apr-2023, Manuscript No. 91260(R); Published: 10-Apr-2023, DOI: 10.4172/2320-3528.12.1.005

Citation: Cavalcante RCM, et al. Description and Interrelationship Analysis of the Phenotypic and Genotypic Characteristics of MSSA and MRSA Strains Isolated from Healthcare Workers in North-Eastern Brazil. RRJ Microbiol Biotechnol. 2023;12:005.

Copyright: © 2023 Oliveira De MA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Objective: To analyse the interrelationship between the phenotypic and genotypic characteristics of methicillin-susceptible and MRSA strains isolated from healthcare workers in north-eastern Brazil.

Methods:  Staphylococcus aureus strains were isolated from nasal mucosa of nursing professionals. They are identified by biochemical analysis and the sensibility drug test were carried out by agar diffusion method. Biofilm formation was detected on the polystyrene plastic surface. Molecular characterization was conducted by Polymerase Chain Reaction (PCR). The chi-squared or fisher's exact tests were applied for the analysis of associations between phenotypic and genotypic characteristics.

Results: A total of 118 workers participated, 49.15% of whom presented Staphylococcus aureus. The inducible clindamycin resistance phenotype was detected in 48.84% of isolates. MRSA was found in 41.37% of isolates, while SCCmec type I was seen in 75%. In terms of virulence genes, eta, tst, pvl, spa, clfA, icaA, icaCandicaD genes were detected at least once. Biofilm formation was detected in 89.65% of the strains-18.97% of these were classified as strongly adherent. Multivariate analyses of clusters demonstrated variability between the strains, with the notable formation of three main clusters, according to phenotypic and genotypic characteristics.

Conclusion: Most isolates had multidrug resistance, significant virulence genes and the ability to form biofilms, increasing the severity of potential infections.

Keywords

Staphylococcus aureus; Antimicrobial; Drug resistance; Virulence; Biofilm; Colonization; Microorganisms

Introduction

Staphylococcus aureus is associated with endocarditis, bacteremia, osteomyelitis, and skin and soft tissue infections [1]. The severity of infections caused by this pathogen is intensified when Methicillin-Resistant Staphylococcus aureus (MRSA) is involved. Resistance occurs through the acquisition of a Staphylococcal Chromosomal Cassette mec (SCCmec), which carries the mecA or mecC gene, encoding an altered Penicillin-Binding Protein (PBP2a) which confers resistance to β-lactams [2]. Due to the growing spread of MRSA, there has been an increase in the use of antibiotics from the Macrolide-Lincosamide-Streptogramin B (MLSB) group, especially clindamycin. Resistance to this group can be expressed through various mechanisms, which may be constitutive (cMLSB) or inducible (iMLSB) [3].

Staphylococcus aureus ability to cause infections is related to the production and expression of virulence factors, that favour immune evasion and increase the severity of infections [4]. These include agglutination factors A and B, biofilm, Staphylococcal Enterotoxins (SE), Toxic Shock Syndrome Toxin 1 (TSST-1), exfoliative toxins, staphylococcal protein A (spa) and Panton-Valentine Leukocidin (PVL) [5,6].

The pathogen is endemic in a number of hospitals and presents a danger to patients, since they are vulnerable and frequently immunodepressed and thus more susceptible to colonization [7]. Within the hospital environment, healthcare workers may contribute to the nosocomial transmission of Staphylococcus aureus as reservoirs or vectors. Once colonization occurs, nurses become potential spreaders of microorganisms in health services and may cause outbreaks of infection and compromise patient health [8]. This study was undertaken to analyse the interrelationship of phenotypic and genotypic characteristics of methicillin-susceptible Staphylococcus aureus MSSA and MRSA strains isolated from healthcare workers in northeastern Brazil.

Materials and Methods

An exploratory and cross-sectional study was undertaken with nursing staff from a university hospital in a rural area of Sergipe in north-eastern Brazil. Collections were performed in the hospital between april 2016 and june 2017. Analyses were conducted in the research laboratories of the federal universities of Sergipe and bahia between april 2016 and december 2017. The committee for ethics in research on human beings at the federal university of Sergipe approved the research under opinion number: 2377921.

Sample collection and phenotype identification

All nursing staff, including technicians and nurses, were invited to participate in the study; a total of 118 accepted. After signing an informed consent form, a questionnaire was applied regarding sex, age, professional experience and occupation. In parallel, samples were collected with nasal swabs using a previously described method, incubated using medium Brain Heart Infusion (BHI, HiMedia, India) with 7.5% w/v NaCl, for 18 hours to 24 hours at 35ºC under 200 rpm agitation [9]. Following growth, the samples were seeded on mannitol salt agar (HiMedia, India) and incubated for 18 hours to 24 hours at 35ºC. Positive mannitol isolates were tested by gram stain, catalase, coagulase and DNAse. Strains which show as gram-positive cocci, catalase, DNAse and coagulase positives were identified as Staphylococcus aureus.

Antimicrobial susceptibility

Antimicrobial susceptibility was detected through the disk diffusion method, following the recommendations of the Clinical and Laboratory Standards Institute (CLSI) [10,11]. Azithromycin 15 μg, ciprofloxacin 5 μg, erythromycin 15 μg, clindamycin 2 μg, linezolid 30 μg, penicillin 10 UI, rifampicin 5 μg and tetracycline 30 μg were tested. Strains resistant to at least three antimicrobial agents were classified as multi-resistant [12]. Cefoxitin disks (30 µg) were used to detect methicillin resistance. The D-test was performed to classify the MLSB phenotype in strains resistant to erythromycin. Isolate susceptibility to oxacillin and vancomycin was analysed using the agar dilution technique, according to CLSI recommendations [11]. Staphylococcus aureus ATCC 25923 was used as a control strain.

Biofilm formation

The ability to form biofilm on plates was assessed using an already described methodology [13]. Bacterial suspensions with turbidity equivalent to 0.5 on the mcfarland scale were diluted in BHI at 1:100, in a flat-bottomed polystyrene plate with 96 wells (Kasvi, Brazil) to a final volume of 200 μL and incubated at 37ºC for 24 hours. The plate was then inverted and rinsed three times with distilled water to remove non-adherent cells. Two hundred (microliters) μL of 99% methanol was then added and the plates were emptied and dried 15 minutes later. Two hundred (microliters) μL of 2% crystal violet (w/v) were added to each well, and the plates were again incubated for 5 minutes at 37ºC. Following this, the plate was again inverted, rinsed and dried by inversion. The dye bound to the adhered cells was resolubilized with 150 μL of 33% acetic acid (v/v) and 125 μL were transferred from each well to a new plate. The biofilm formation was measured through an absorbance reading at 600 nm in a microtiter plate reader (Thermo Scientific Multiskan EX). The tests were performed in triplicate. Staphylococcus aureus ATCC 29213 and sterile BHI were used as positive and negative controls respectively. The strains were classified as Non-Adherent (NA), Weak Adherent (WA), Moderate Adherent (MA) and Strong Adherent (SA), according to previously established criteria [14].

Molecular characterization

The total DNA was extracted by boiling, using an adapted protocol [15]. Bacterial suspensions were centrifuged at 14,000 rpm for 15 minutes to obtain a pellet. The pellet was then rinsed twice and re-suspended in 100 µL of Phosphate-Buffered Saline 1X (PBS). The bacterial suspension was exposed to a heat shock of 100ºC for 10 minutes, then 0ºC for 5 minutes. DNA concentration and purity were measured using a nanodrop UV-vis spectrophotometer (Thermo Fisher Scientific, USA). Conventional Polymerase Chain Reaction was performed to detect mecA, pvl, eta, tst, spa, clfA, icaA, icaC e icaD genes with already described primers [16]. Positive mecA strains were subject to a multiplex PCR reaction to amplify the genes from chromosomal cassettes I to V, using previously described primers and methods [17]. The reactions were prepared in 25 μL, containing: 12.5 μL Master Mix (Promega, USA), 1 μL of each primer, 2.5 μL of DNA template and enough ultrapure water to a total of 25 μL. The amplifications were performed according to conditions established by the authors of each primer. These were performed in a thermal cycler (Bio-Rad®, model T100TM) and the products were visualized by electrophoresis in 2% agarose gel in a 1X Tris-Acetate-EDTA (TAE) buffer. Finally, the gels were stained with ethidium bromide, visualized and photo-documented (UVP-Multidoc-It digital imaging system, USA).

Multivariate analyses for grouping data

Data regarding strain clusters, according to genotypic and phenotypic characteristics, were represented through heat maps and Principal Components Analysis (PCA). Isolates were analysed using http://www.heatmapper.ca/expression/, where unsupervised hierarchical grouping was performed using average distance and euclidean distance as metrics, and https://cytoscape.org/ (version 3.8.2) to assess the interrelationships between components.

Statistical analysis

Statistical analyses of the results were performed using SPSS 16.0 software (SPSS Inc., Chicago, IL, USA). The chi-squared or fisher's exact tests were applied for the analysis of association. The latter was only applied when the expected frequencies were below five. Differences between means presenting p<0.05 were considered significant.

Results

In total, 118 samples were collected and 58 isolates were identified as Staphylococcus aureus (49.15%). Most isolates were from female nursing technicians (79.3%), under 40 years old (69.0%), with five or more years of professional experience (Table 1). The univariate analysis demonstrated no significant association between carrier status and demographic characteristics.

Variables Non-carrier N=60% Carrier N=58%
Sex Female 53 (88.3) 46 (79.3)
Male 7 (11.7) 12 (20.7)
Age < 40 years 39 (65.0) 40 (69.0)
≥ 40 years 21 (35.0) 18 (31.0)
Professional experience < 5 years 18 (30.0) 17 (29.3)
≥ 5 years 42 (70.0) 41 (70.7)
Occupation Nurse 26 (43.3) 23 (39.7)
Nursing technician 34 (56.7) 35 (60.3)

Table 1. Demographic characteristics of volunteers and distribution of carriers and non-carriers.

Antimicrobial susceptibility

The isolates were more frequently resistant to penicillin (86.21%), erythromycin (74.14%), azithromycin (67.24%) and ciprofloxacin (53.45%) and less frequently to tetracycline (36.21%), clindamycin (19.87%), rifampicin (12.07%), and linezolid (1.72%). Multidrug resistance was present in 42 (72.41%) isolates. The MLSB phenotype was observed in 43 isolates. Of these, 11 (25.58%) were resistant to clindamycin, as detected by disk diffusion, and were therefore classified as cMLSB, while 21 (48.84%) were iMLSB positive. Resistance to methicillin was found via disk diffusion in 25.58% of isolates, while through the agar dilution test was 34.38%. One strain with intermediate resistance to vancomycin was also found.

Methicillin resistance

The mecA gene was detected in 41.37% of the isolates (24/58). Detections via disk diffusion and agar dilution have shown 62.50% and 83.33% of sensibility and 79.07% and 89.47% of Negative Predictive Values, respectively. Specificity and positive predictive values obtained 100%. The resistance index for the azithromycin, ciprofloxacin, erythromycin and tetracycline antimicrobials was significantly higher among the MRSA strains (Figure 1). In the SCCmec typing, the highest frequency was SCCmec type I, found in 18 of the 24 MRSA isolates (75.00%), and followed by SCCmec type III (12.50%), SCCmec type V (8.33%) and SCCmec type IV (4.17%). SCCmec type II was not found. Of the 24 MRSA strains, 23 had different genotypic and phenotypic profiles (Table 2).

microbiology-methicillin

Figure 1: Antibiotic resistance profiles of methicillin-susceptible and methicillin-resistant Staphylococcus aureus isolated from nursing staff. equation

Isolate n=24 Phenotypic profile Genotypic Profile
Antimicrobial resistance MLSB Phenotype Biofilm formation Virulence SCCmec type
C44 PEN * WA icaAC I
C46 PEN * WA spa, clfA, icaA I
C27 AZM CIP ERY PEN MS NA eta, icaC IV
C11 AZM ERY PEN iMLSB SA icaADC I
C35 AZM ERY PEN iMLSB SA eta, icaADC I
C32 AZM ERY PEN TET iMLSB WA clfA, icaC I
C34 AZM CIP ERY PEN MS MA spa, icaD III
C52 AZM CIP ERY PEN MS MA clfA, icaADC I
C54 AZM CIP ERY PEN iMLSB MA - I
C4 AZM CIP ERY PEN TET iMLSB MA spa I
C15/C58 AZM CIP ERY PEN TET iMLSB MA - I
C28 AZM CIP ERY PEN TET iMLSB SA spa, clfA, icaC I
C39 AZM CIP ERY PEN TET iMLSB NA spa, clfA, icaD I
C17 AZM CLI ERY PEN TET cMLSB MA icaADC III
C18 AZM CLI ERY PEN TET cMLSB NA icaC I
C19 CIP CLI ERY PEN TET cMLSB WA spa I
C50 AZM CIP ERY LZD PEN RIF MS WA icaAC V
C51 AZM CIP ERY PEN RIF TET MS SA clfA, icaAC I
C56 AZM CIP ERY PEN RIF TET MS MA clfA, icaADC I
C40 AZM CIP CLI ERY PEN TET cMLSB NA clfA, icaA III
C53 AZM CIP CLI ERY PEN TET cMLSB SA icaAD I
C55 AZM CIP CLI ERY PEN TET cMLSB MA spa, icaAD V
C45 AZM CIP ERY PEN RIF TET MS WA spa, icaDC I

Table 2. Phenotypic and genotypic profile of MRSA strains isolated from nursing staff, Brazil.

Biofilm formation

Formation of biofilm on plates was confirmed in 89.65% (52) of the strains. Of these, 18.97% (11/58) were classified as SA, 32.76% (19/58) MA, 37.93% (22/58) WA, while 10.34% (6/58) were classified as NA. The distribution of resistance and biofilm formation phenotypes among the isolates can be found in Table 3. The univariate analysis demonstrated that iMLSB are strong biofilm-forming strains (p=0.035). Similarly, isolates that did not have an association with icaA, icaC or icaD genes did not form biofilms (p=0.044).

Virulence genotype

The most frequently found virulence gene was icaA, which was detected in 62.07% (36/58) of the isolates, while the least common virulence gene was PVL, which was present in only 1 (1.72%). There was a difference in the distribution of genes between the MRSA and MSSA isolates and the distribution of icaD was significantly lower among the methicillin-resistant (Table 4). Forty-two isolates had more than one virulence gene, while three isolates harboured six (Table 5).

Isolate AZM CIP CLI ERY FOX LZD PEN RIF TET iMLSB cMLSB MS NA WA MA SA
C1 equation     equation     equation     equation         equation  
C2   equation                         equation  
C3                               equation
C4 equation equation   equation     equation   equation equation         equation  
C5 equation                           equation  
C6 equation           equation             equation    
C7   equation         equation               equation  
C8   equation         equation   equation             equation
C9 equation equation   equation     equation     equation         equation  
C10   equation   equation     equation     equation       equation    
C11 equation     equation     equation     equation           equation
C12       equation     equation     equation           equation
C13   equation equation equation     equation equation     equation       equation  
C14   equation equation equation         equation   equation     equation    
C15 equation equation   equation     equation   equation equation         equation  
C16 equation equation equation equation     equation   equation   equation     equation    
C17 equation   equation equation equation   equation   equation   equation       equation  
C18 equation   equation equation     equation   equation   equation   equation      
C19   equation equation equation equation   equation   equation   equation     equation    
C20             equation             equation    
C21 equation equation   equation           equation           equation
C22 equation equation   equation     equation   equation equation       equation    
C23   equation         equation             equation    
C24 equation     equation     equation     equation       equation    
C25             equation             equation    
C26 equation     equation     equation     equation       equation    
C27 equation equation   equation     equation         equation equation      
C28 equation equation   equation equation   equation   equation equation           equation
C29   equation equation equation         equation   equation       equation  
C30 equation     equation     equation     equation           equation
C31 equation     equation     equation     equation       equation    
C32 equation     equation equation   equation   equation equation       equation    
C33 equation     equation     equation         equation   equation    
C34 equation equation   equation     equation         equation     equation  
C35 equation     equation equation   equation     equation           equation
C36   equation   equation     equation     equation           equation
C37 equation     equation               equation   equation    
C38             equation           equation      
C39 equation equation   equation equation   equation   equation equation     equation      
C40 equation equation equation equation equation   equation   equation   equation   equation      
C41 equation           equation           equation      
C42 equation   equation equation     equation       equation     equation    
C43 equation equation   equation     equation   equation     equation   equation    
C44         equation   equation             equation    
C45 equation equation   equation equation   equation equation equation     equation   equation    
C46             equation             equation    
C47               equation           equation    
C48             equation               equation  
C49 equation     equation     equation     equation         equation  
C50 equation equation   equation equation equation equation equation       equation   equation    
C51 equation equation   equation equation   equation equation equation     equation       equation
C52 equation equation   equation equation   equation         equation     equation  
C53 equation equation equation equation equation   equation   equation   equation         equation
C54 equation equation   equation     equation     equation         equation  
C55 equation equation equation equation equation   equation   equation   equation       equation  
C56 equation equation   equation equation   equation equation equation     equation     equation  
C57 equation     equation     equation equation       equation     equation  
C58 equation equation   equation     equation   equation equation         equation  

Table 3: Phenotypes of resistance and biofilm formation in Staphylococcus aureus isolated from nursing staff, Brazil.

Virulence gene MRSA% n=24 MSSA% n=34 Total% n=58 p value*
clfA 33.33 (8) 38.23 (13) 36.21 (21) 0.7020 †
eta 8.33 (2) 0 3.45 (2) 0.1670 ɸ
ica 50.00 (12) 70.58 (24) 62.07 (36) 0.1115 †
icaC 54.26 (13) 64.70 (22) 60.34 (35) 0.4190 †
icaD 41.66 (10) 73.53 (25) 60.34 (35) 0.0146 †
spa 16.66 (4) 35.29 (12) 27.59 (16) 0.1180 †
pvl 4.16 (1) 0 1.72 (1) 0.4138 ɸ
tst 0 5.88 (2) 3.45 (2) 0.5064 ɸ

Table 4. Distribution of virulence genes in methicillin-susceptible and methicillin-resistant staphylococcus aureus, isolated from nursing staff.

Genes n%
clfa+icaC 2 (3.45)
clfa+icaD 2 (3.45)
eta+icaC 1 (1.72)
icaA+icaC 3 (5.17)
icaA+icaD 3 (5.17)
icaC+icaD 1 (1.72)
icaA+icaC+icaD 8 (13.79)
clfa+icaaA+icaC 1 (1.72)
clfa+icaaA+icaD 1 (1.72)
clfa+spa+icaA 2 (3.45)
spa+icaA+icaC 1 (1.72)
spa+icaA+icaC 1 (1.72)
spa+icaA+icaD 2 (3.45)
clfa+icaA+icaC+icaD 4 (6.90)
clfa+spa+icaA+icaD 1 (1.72)
spa+icaA+icaC+icaD 2 (3.45)
clfa+spa+icaA+icaC+icaD 4 (6.90)
eta+spa+icaA+icaC+icaD 1 (1.72)
clfa+pvl+spa+icaA+icaC+icaD 1 (1.72)
clfa+spa+tst+icaA+icaC+icaD 2 (3.45)

Table 5. Co-existence of Staphylococcus aureus virulence genes isolated from nursing staff in lagarto, Brazil.

Staphylococcus aureus strain clustering

Based on our data, the interrelationship and clustering of Staphylococcus aureus strains can be found in Figure 2. The heat maps show that different clusters (groups) were formed for strains with similar characteristics in terms of resistance (a), virulence (b) and the whole dataset (phenotypic and genotypic). The PCA analysis reinforces the heat map results, demonstrating the formation of different groups according to the above-mentioned characteristics: resistance (d), virulence (e) and for the whole dataset (phenotypic and genotypic). This data therefore demonstrates the diversity of S. aureus strains isolated from healthcare workers, as highlighted by the formation of 3 main groups.

microbiology-heatmapper

Figure 2: The Heatmapper platform demonstrated the different groups formed from the S. aureus strains, according to resistance factors (a), virulence (b) and these factors together (c). In these heat maps, yellow indicates presence, while blue indicates absence of the respective factors. The PCA also demonstrated the diversity of the strains through the formation of groups according to resistance (d), virulence (e) and these factors together (f), as evidenced in the graph’s colours.

Discussion

As far as we are aware, this is the first report that demonstrates the phenotypic and genotypic profiles of Staphylococcus aureus resistance and virulence isolated from nursing staff and undertaken in Sergipe, Brazil. Knowledge about colonization in healthcare workers supports the development of infection control strategies. The general prevalence of Staphylococcus aureus found in this study was 49.15%. Collecting samples from healthcare workers in a university hospital, obtained a prevalence of 25.7% [18]. Furthermore, in a study of nursing staff working in specialized HIV units, obtained a similar prevalence (22.9%) [19]. However, a study of working with healthcare workers in an urban university hospital, recorded a prevalence of 43.8%, similar to that found here [20]. These variations may be related to the patient population, natural microbiota on skin or collection procedures.

Multidrug resistant bacteria are difficult to treat and treatment results are less effective than for susceptible bacteria. Multidrug resistance was found in 72.41% of isolates in this study, principally to penicillin, erythromycin and azithromycin. In the same way, in a study of healthcare workers in a children’s hospital in Iran, found high levels of resistance to these drugs [21]. However, when analysing isolates from general clinical patients in Austria, researchers found low resistance to azithromycin and erythromycin [22]. This may at least partially be explained by the duration of drug use, in addition to drug availability in pharmacies and potential irrational use. It is worth noting that knowledge about the profile of Staphylococcus aureus susceptibility to antimicrobials supports the choice and use of antimicrobial agents [23].

On the other hand, when we used a conventional antibiogram, we observed low levels of resistance to clindamycin (19.87%). In a similar way, a study, found that 17.2% of strains were resistant to clindamycin in healthcare workers in two hospitals in Ethiopia [24]. In our study, the iMLSB phenotype was found in 48.84% of isolates. However, in a study of healthcare workers in four hospitals in Tanzania, found 32.5% positive iMLSB strains, lower than the level detected here [25]. We therefore note that this level varies and depends on the population studied. This finding is important, since it emphasizes that when only using conventional antibiograms, many strains are falsely identified as sensitive to clindamycin, leading to the ineffective treatment of infections [26].

In our study, 41.37% of Staphylococcus aureus isolates were characterized as MRSA strains. Similarly, collecting samples from healthcare workers in a university hospital in Nepal, researchers obtained an MRSA prevalence of 41.3% [27]. However, in a study of healthcare workers in a public hospital in north-eastern Brazil, an index of 16.9% was obtained, lower than that detected here [18]. We therefore note the variability in levels between these populations. The high level found here is important, given that methicillin-resistant Staphylococcus aureus infections are hard to resolve, due to a lack of therapeutic options [1]. In a meta-analysis of 127 studies, was reported that transmission of MRSA to patients was probable in 93% of studies [28]. Here, 75% of isolates were SCCmec type I, while 12.5% were type III. In the same way, researchers in north-eastern Brazil found that SCCmec I was the most prevalent (40%) [18]. However the most frequently isolated MRSA clone in Brazil is Brazilian Endemic Clone (BEC) which is SCCmec-III (ST239) [29]. This suggests the circulation of different ST239 clones, which may indicate an, at least partial, replacement of this strain in Brazil. One strain found among the isolates was VISA (1.72%). This percentage agrees with the meta-analysis, which reported a prevalence of 1.0% among Staphylococcus aureus isolates in the United States [30].

Staphylococcus aureus is frequently linked to infections associated with biomaterials, due to the production of biofilm. Here, 89.65% of isolates were biofilm producers. Another study obtained a slightly lower level (72.83%) when analysing clinical isolates from three hospitals in Thailand [31]. In our study, there was no significant association between harbouring ica operon genes and intensity of biofilm formation. Other researchers did not observe any such relationship when analysing isolates from bovine mastitic milk [32]. In the same way, observed biofilm formation in the absence of these genes [33]. It has therefore been suggested that other genes, in addition to the components of the ica operon, are involved in biofilm formation in these strains [34]. The isolates high biofilm-forming ability is worth noting, since it promotes adhesion to surfaces, clogs medical devices and causes infections tolerant to multiple drugs [35].

In relation to the virulence genes in the isolates, clfA was detected in 36.21% of Staphylococcus aureus, more than that found by similar study (8.3%) [18]. The spa gene was detected in 25.86% of the Staphylococcus aureus in this study. When analysing isolates from doctors, nurses and laboratory scientists in a reference hospital in Zambia, researchers obtained an almost equal amount (25.8%) [36]. Nevertheless, a previous study cited, obtained a lower level among nasal isolates (3.3%) [18]. One isolate (1.72%) harboured PVL. Other researchers did not find PVL positive strains in isolates from healthcare workers in a hospital centre in Portugal [37]. The tst gene was detected in 3.45% of isolates. Similarly, in the Czech Republic, found tst in 1.7% of isolates from patients in a university hospital [38]. The presence of multiple virulence genes found here is significant, since the more virulence factors the pathogen expresses, the greater its capacity to cause infection; It is worth noting that one of the spa positive isolates also harboured PVL, which, in association with spa, may cause fatal pneumonia [39].

Based on the similarity between genotypic and phenotypic factors, strains of Staphylococcus aureus were grouped and different clusters formed, demonstrating variation in the isolates we assessed. Studies which have made more in-depth analyses of the molecular aspects of MSSA and MRSA isolates from hospitals have also demonstrated diversity among these strains, alerting researchers to the role of healthcare workers as sources for the spread of more virulent and/or resistant strains within the hospital environment, and consequently to the risk of spread to the community [18,40]. The emergence of variable, more virulent or resistant strains hinders the treatment of infections and demonstrates the evolution and adaptability of these bacteria as a result of the exertion of selective pressure, principally in hospitals [18]. We therefore note the need for studies such as ours, which demonstrate the importance of understanding these microorganisms, in order to prevent spread and infection.

Conclusion

We observed high prevalence, multidrug resistance and the presence of MRSA strains. We also noticed that phenotypic tests to detect methicillin resistance may generate false negatives and should therefore be linked to molecular analysis. Additionally, we found numerous strains containing the iMLSB phenotype, emphasizing the importance of performing the D-test before use of clindamycin. The majority of the isolates carried important virulence genes and had the ability to produce biofilm, increasing the severity of infections they could cause. This study therefore supplements knowledge about strains that circulate in hospitals, highlighting the need to monitor the strains circulating within this hospital and to intensify precautionary measures in order to prevent the spread of these strains.

Abbreviations

AZM-Azithromycin; BHI- Brain Heart Infusion; BEC-Brazilian Endemic Clone; CIP-Ciprofloxacin; CLSI-Clinical and Laboratory Standards Institute; PCR-Conventional Polymerase Chain Reaction; ERY-Erythromycin; LZD-Linezolid; MLSB-Macrolide-Lincosamide-Streptogramin B; cMLSB-Macrolide-Lincosamide-Streptogramin B constitutive; iMLSBMacrolide-Lincosamide-Streptogramin B inducible; MRSA-methicillin-resistant Staphylococcus aureus;MA- Moderate Staphylococcus aureusAdherent; NA-Non-Adherent; PVL-Panton-Valentine Leukocidin; PEN-Penicillin; PBP2a-penicillin-binding protein; PCAprincipal components analysis; RIF-Rifampin; SCCmec-staphylococcal chromosomal cassette mec; SEstaphylococcal enterotoxins; SPA-staphylococcal protein A; SA-Strong Adherent; TET-Tetracycline; TSST-1-toxic shock syndrome toxin 1; WA-Weak Adherent.

Authors Contributions

Cavalcante RCM, Doria GAA and Marques LM coordinate the research. Oliveira MA, Andrade YMFS, Sousa AC and Campos GB collected the samples, performed the experiments, analyzed the data and wrote the main manuscript text. Silva IBS prepared. All authors critically reviewed the manuscript.

Acknowledgements

We would like to thank Caline Novais Teixeira Oliveira, Rodrigo Almeida Simoes and Rita de Cassia Santa Rosa Matos for the technical assistance they provided.

Consent For Publication

Not applicable.

Data Availability Statement

Data analyzed during this study are included in this article. Sensitive data of participant are stored confidentially.

Ethical Approval and Consent to Participate

The Committee for Ethics in Research on Human Beings at the Federal University of Sergipe approved the research under protocol number: 2377921. The participating professionals, aware of the procedures performed and the research objectives, signed the Informed Consent Term (FICF) and only then were admitted.

Conflicts of Interest

The authors declare that there is no conflict of interest.

Funding

No funding.