1. Introduction
S. aureus is a human pathogenic bacteria that causes a wide range of infections in both, hospital and community settings. Approximately one-third of the population worldwide carries S. aureus in nasal cavities, and this asymptomatic colonization is known to be a risk factor for further infections 1. This bacteria is considered a Serious Threat Level microorganism by the US Centers for Disease Control and Prevention (CDC) and a High Priority by the World Health Organization (WHO), so understanding the infectious process it causes, the discovery of new therapeutic options and its epidemiological surveillance are of extreme urgency, as they would allow concentrated efforts to prevent its spread, as well as the risk of further disease progression 2,3.
The ability of S. aureus to infect humans and other animals so efficiently is a consequence of the large number of virulence factors it can produce and release into the tissue in which it is developing infection 4. Superantigens (SAgs) make up a class of virulence factors and include the toxin that causes toxic shock syndrome (tsst-1) and staphylococcal enterotoxins (SEs), associated with foodborne illnesses (FBDs). These SAgs are linked to several conditions including sepsis, endocarditis, and pneumonia, as well as promoting bacterial survival during infection 5,6.
FBDs cover a wide spectrum of ailments and constitute a growing public health problem worldwide, caused by the ingestion of food contaminated by microorganisms or chemicals. S. aureus is the most frequent etiological agent among severe food poisoning caused by SE-producing strains, which can cause gastroenteritis and have significant importance due to their detection in the food supply chain, by contamination introduced by handlers or by the use of contaminated raw material 7–9. The impact of SE expression by S. aureus on human health lies in that even whether or not they are associated with food poisoning, they can be "markers" of certain specific virulent clones of S. aureus and are considered superantigens that activate T cells 10.
Previously only five SEs, SEA to SEE, were known, however, in recent years new SEs and toxins similar to them have been detected 11. There is a group of six SEs called the Enterotoxin Gene Cluster (EGC), which encodes SEs G, I, M, N, O, and U and are generally associated with long-term mucosal colonization. While these toxins have been associated with asymptomatic colonization, experimental studies in rabbits show that EGC cluster SAgs may be crucial for the development of certain types of infections such as endocarditis or respiratory infections 6.
The role of these virulence factors was exposed in Paraguay in 2009 when there was an outbreak of food poisoning associated with the consumption of ultra-pasteurized milk contaminated with S. aureus producing enterotoxins C and D, with the serious outcome of the death of a minor infant 12. In this context, and given the possibility of carrying other enterotoxin-coding genes in S. aureus isolates and their potential risk of causing FDBs and "markers" of virulent clones, our research group aimed to expand the ability to detect a greater number of enterotoxin-coding genes. The importance of this innovation would be the potential use of molecular methods for the characterization of S. aureus in future outbreak situations, food poisoning, and carriage control in food handlers, as well as in several epidemiological studies.
The present study aimed to detect genes coding for EGC SEs G, I, M, N, O, and U in S. aureus isolates that caused infections in Paraguayan children in 2017.
2. Materials and Methods
To achieve the postulated objectives, a descriptive, cross-sectional, observational, descriptive study was carried out with a non-probabilistic sampling of consecutive cases.
The S. aureus isolates analyzed in the present study came from the Biobank of the Instituto de Investigaciones en Ciencias de la Salud (IICS-UNA), stored in 15% BHI-glycerol medium at −80 °C and. Were isolated from different types of biological samples collected from Paraguayan children aged 0 (zero) to 17 (seventeen) years who had infections, were collected and processed in three reference hospitals in Asunción and the Central Department of Paraguay: Hospital de Clínicas (HCL, FCM-UNA), Instituto de Previsión Social (IPS) and Hospital General Pediátrico Niños de Acosta Ñú (HGP) - Ministerio de Salud Pública y Bienestar Social del Paraguay (MSPyBS), in prior research projects.
All isolates had clinical and epidemiological data such as biochemical identification, antibiotic susceptibility, type of material, date of collection, clinical picture, age, and sex of the patient from whom they were isolated, provided by the microbiology laboratory of the health care centers where the samples were collected. The children from whom the isolates were taken were classified according to age: infants (0-23 months), preschool (24–71 months), school children (6–12 years), and adolescents (>12 years).
2.1. Sample analysis and processing
2.1.1. Phenotypic characterization of isolates
Biochemical identification and antibiotic susceptibility analysis were performed in each microbiology laboratory in which the isolates were collected. They were performed according to standard criteria established in the CLSI (Clinical and Laboratory Standards Institute) guidelines 2017 version 33.
Biochemical identification included culture on ram's blood agar for beta-hemolysis detection and colony morphology analysis, as well as Gram staining and biochemical tube assays with catalase and coagulase.
Antimicrobial susceptibility profiles of all strains were determined by Kirby-Bauer diffusion disk assays using Oxoid/BBI disks and the automated Vitek® system (BioMérieux, La Balme, French). The following antibiotics were tested in the antibiotic susceptibility assay: cefoxitin (FOX), penicillin (PEN), gentamicin (GEN), ciprofloxacin (CIP), rifampicin (RIF), trimethoprim/sulfamethoxazole (SXT), erythromycin (ERI), clindamycin (CLI), tetracycline (TET) and vancomycin (VAN). In addition, the D-test was performed on all MRSA isolates that were sensitive to clindamycin and resistant to erythromycin.
2.1.2. Extraction of genetic material
Isolates identified as S. aureus by phenotypic methods were plated on TSA agar (Tryptone Soy Agar, Difco, Le Pont de Claix, France) and incubated at 35 °C for 24–48 h in the presence of 5% CO2 for subsequent extraction of genomic DNA, using a commercial kit (Wizard Genomic, Promega, Madison, USA), following the manufacturer's instructions.
2.1.3. Detection of Virulence Factor Coding Genes
To amplify the genes coding for enterotoxins G, I, M, N, O, and U, the reaction conditions for individual PCR were standardized, using oligonucleotides described by Jarraud et al. 2002 for the genes seg, sei, sem, sen, and seo 34 and the one described by Holtfreter et al. 2004 35. The above assays were performed at a final concentration 1× Buffer (Invitrogen, Thermo Fisher Scientific, California, USA), 0.03 U/μL Taq polymerase (Invitrogen, Thermo Fisher Scientific, California, USA), 1 μM oligonucleotides (Macrogen, South Korea), 3 mM MgCl2 (Invitrogen, Thermo Fisher Scientific, California, USA) and 0.4 mM dNTP (Promega Corporation, Madison, Wisconsin, USA).
For each PCR reaction, 1.5 μL of template DNA was used in a total reaction volume of 15 μL. The oligonucleotides used were synthesized by Macrogen Inc. (Seoul, Korea) and amplification was performed in Veriti thermal cyclers (AppliedBiosystems, Thermo Fisher Scientific, USA). The optimal conditions for the PCR reaction were: initial denaturation 95 °C - 5 min, 35 cycles of denaturation (95 °C for 30 s), banding (54–60 °C for 30 s), and extension (72 °C for 30 s) and finally a final extension cycle of 72 °C for 5 min. The banding temperature was variable according to the amplification gene: seM (54 °C), seG, seI, seN (58 °C), and seO-seU (60 °C).
Positive and negative controls were included for each of the PCR amplification reactions.
2.2. Data analysis
The isolate data obtained from the epidemiological, microbiological, and molecular cards were entered and stored in an electronic spreadsheet and statistical calculations were performed using Microsoft Excel version 2013 and Epiinfo Version 7.2.2.6 software. Descriptive statistics were used to refer to the characteristics of the population, gene frequency, and detected profiles.
3. Results
3.1. Epidemiological aspects
We included 181
S. aureus isolates causing invasive infections (n = 41, 23%) and skin and soft tissue infections (IPPB, n = 140, 77%) in Paraguayan children aged 15 days to 17 years, collected from January 2017 to February 2018. Fifty percent (n = 91) of the isolates analyzed were from the IPS and 50% (n = 90) of them were under 6 years of age (
Table 1).
The relationship between the occurrence of infections according to the seasonal period was calculated and a statistically significant difference was found between the occurrence of SSTI in Spring-Summer (p = 0.0004, p ≤ 0.05 Chi-square or Fisher's exact test as appropriate).
The complete antibiotic susceptibility profile and according to susceptibility to methicillin are shown in
Table 2. 100% of the isolates tested were found to be sensitive to vancomycin. Inducible resistance to clindamycin (Dtest positive) was observed in 21% of the isolates analyzed, 84% of which were methicillin-resistant
S. aureus (MRSA). A statistically significant difference was observed between methicillin susceptibility and tetracycline resistance (p ≤ 0.05 Chi-square or Fisher's exact test as appropriate). Intermediate susceptibilities to erythromycin (n=3, 2%), gentamicin (n = 3, 2%), rifampicin (n = 5, 3%), and ciprofloxacin (n = 5, 3%) were also observed.
3.2. Molecular detection of EGC cluster genes
At least one enterotoxin-coding gene was detected in 97% (176/181) of the isolates under study and 23% (42/181) carried the complete EGC cluster (
Table 3). A statistically significant difference was observed between methicillin resistance and
seg, sei, seo, and
seu gene carriage (p ≤ 0.05 Chi-square or Fisher's exact test as appropriate).
The most frequent toxin in isolates causing invasive infections was seg (
Table 4), followed by
seo and
sei. Seventeen percent (7/41) of the isolates with invasive infections carried the complete group of toxins studied and 98% (40/41) carried at least one of the genes studied. A statistically significant difference was observed between the occurrence of invasive infections and the carriage of
sei and
seu genes (p ≤ 0.05 Chi-square or Fisher's exact test as appropriate).
3 (2%) of the MRSA isolates analyzed produced invasive infectious conditions that led to the death of the patient (between 2 months and 7 years), carrying the sem (3/3), seg (2/3), sei (2/3), seo (2/3) and seu (1/3) genes.
Using the present study, the molecular detection of genes belonging to the EGC cluster: seg, sei, sem, sen, seo, and seu in isolates of S. aureus causing infections in Paraguayan children was achieved.
4. Discussion
S. aureus is a pathogenic microorganism equipped with a large repertoire of virulence factors, including several toxins that have superantigenic properties (SAgs), which often play a significant role in the development of various diseases such as toxic shock syndrome (TSS), staphylococcal foodborne diseases (SFBD), scalded skin syndrome, endocarditis, and sepsis, all potentially fatal 1,13.
The post-genomic era of S. aureus, with the study of publicly available genomic sequences, has further elucidated the existing knowledge on virulence and resistance of clinical isolates, revealing the presence of previously unknown virulence factors. In this context, the genomic analysis of a dozen S. aureus isolates belonging to the largest biobank of its kind in Paraguay 14, allowed our research group to identify in the genome of these isolates genes encoding virulence and antibiotic resistance factors never studied before in our country, such as those of the enterotoxins belonging to the EGC cluster (seg, sei, sem, sen, seo and seu). This important qualitative leap opened up a range of new possibilities for new research projects and assays to be developed to further deepen and deepen the existing knowledge on the epidemiology of circulating S. aureus in Paraguay 1,15.
The SAgs encoded in the EGC cluster (G, I, M, N, O, U) are currently considered to be the most prevalent staphylococcal toxins among clinical and colonizing isolates, present in 50-70% of nasal carriers, and their expression may be crucial for the development and aggravation of certain infections. Although initially associated with asymptomatic colonization, several studies show that EGC cluster SAgs may be crucial in the development of respiratory infections and endocarditis 6,16.
In the present study, high carriage of genes encoding enterotoxins belonging to EGC cluster G (89%), I (84%), O (81%), U (78%), M (62%), and N (47%) was detected in S. aureus from clinical infectious conditions, mostly (77%) skin and soft tissue infections and 23% invasive infections such as sepsis, necrotizing pneumonia, osteomyelitis, and cystic fibrosis (CF), which provides a further indication that the SAgs encoded in the EGC cluster could be involved in the development of staphylococcal infectious processes and not only accompany the carriage of the microorganism in the human host 6,16.
Although most of the samples in our study came from SSTI, among the isolates that caused invasive infections there was also a high frequency of carriage of the SE analyzed, and a statistically significant difference was observed between carriage of the sei and seu genes and the occurrence of invasive conditions such as pneumonia, osteomyelitis, cystic fibrosis, and sepsis.
Several epidemiological studies highlight the high prevalence of specific SAgs in S. aureus isolates from patients with infective endocarditis (IE) and chronic respiratory diseases such as CF, specifically carrying tsst-1, sec genes and those belonging to the EGC cluster (seg, sei, sem, sen, seo and seu) 6,17,18.
Experimentally, it has been demonstrated in rabbits infected with S. aureus, that deletion of the tsst-1 and EGC cluster genes increases patient survival, with differential effects, since the tsst-1 gene occurs at much higher levels than those of the EGC cluster, thus contributing to higher mortality through the development of TSS and/or to a more rapid and complicated progression of the infection generally accompanied by lethal complications such as heart failure and stroke so that its deletion leads to a more marked decrease in lethality. Even so, diseases such as infective endocarditis progress in the presence of EGC cluster enterotoxins, even without the systemic or local effects of TSST-1, evidence that the same is also responsible for the aggravation of the infectious picture, but on a smaller scale due to their level of production 13.
Studies focused on S. aureus carriage in patients with allergic rhinitis have shown that these patients are frequently colonized by S. aureus and sensitized to its enterotoxins, unlike healthy controls. Likewise, patients with allergic rhinitis and carriers of S. aureus have developed more severe allergic symptoms than non-carriers; this is because ES triggers airway inflammation and increases the responsiveness of the airways. Clinically, nasal carriage of S. aureus or IgE to ES has been associated with asthma severity and a higher prevalence of sensitization to more than 125 aeroallergens in both adults and children. Thus, there are indications that S. aureus and its toxins are associated with the development and/or severity of these allergic conditions 19.
Other studies conducted by our research group, focused on the detection of coding genes of SEs A, B, C, D, and H, frequently associated with foodborne diseases, yielded carriage percentages for these genes lower than 5% 20,21 in samples collected from SSTI in the pediatric population, which reinforces the theory that these SE are strongly related to the production of gastrointestinal infections and those of the EGC cluster are present in all types of clinical samples and even in asymptomatic carriers 22.
The association observed between methicillin resistance (MRSA) and the carriage of seg, sei, seo, and seu genes could be a result of gene linkage, which occurs by physical proximity concerning the distance in base pairs that exists between them in the genome, but it is still a controversial issue that is still under study. The existing evidence indicates that the seg, sei, sem, sen, seo, and seu genes belonging to the EGC cluster, as well as the Panton-Valentine leukocidin lukDE gene, are located in the νSaβ genomic island, unlike the mecA gene, coding for methicillin resistance, located in the genetic island known as the SCCmec cassette. What is not yet known for certain is the proximity in the genome of these islands 6,23.
Several studies have focused on identifying these genomic islands to understand the mechanisms underlying the emergence of complex patterns of antibiotic resistance and virulence mediated by horizontal gene transfer. It is important to emphasize that these genomic islands and the other mobile genetic elements such as phages, transposons, and chromosomal cassettes together constitute the auxiliary or accessory genome of the microorganism. Previous studies have reported that the genomic core is composed of approximately 95% or more of all S. aureus genes, and have revealed recombination hotspots for mobile elements even within the core genome of S. aureus. This genetic recombination, in addition to increasing antibiotic resistance, has also collaborated with S. aureus for the production of infections and its proliferation in a community setting, as was the acquisition of the Panton-Valentine leukocidin gene by MRSA, which has given rise to community-acquired MRSA (CA-MRSA) 24.
On the other hand, the diversity of MRSA is well known, even among strains belonging to the same clone and circulating in the same geographical region. Despite this, Challagundla et al. in a study focused on the phylogenomic classification of MRSA of clonal complex 5, demonstrated relatively low rates of recombination between strains of the same clonal complex: CC5, the second most frequent in Paraguay 23,25. In that study, they traced the evolution of selected CC5 traits and found that some of the genomic changes occurred before the expansion of the largest currently existing clades and represented convergent instances of evolution. This convergent acquisition of broadly prescribed antibiotic resistance is a recurring theme in the history of successful MRSA clones, the tendency for the number of toxins to decrease with distance from the root of the tree and loss of other virulence factors, findings that suggest that MRSA clones as they acquire greater antibiotic resistance become less virulent, with a consequent increase in the ability to spread geographically 23.
Given the above, the association observed between methicillin resistance (MRSA) and the carriage of sei, seg, seo, and seu genes in this study is an issue whose causes should be further explored in future studies that include genomic analysis of the isolates under study, to determine the physical proximity between the genetic islands carrying the genes involved.
The levels of penicillin resistance observed at the general level, whether the isolates were MRSA or MSSA, coincide with other regional and national studies that report levels of penicillin resistance in community S. aureus isolates greater than 90% in Latin America 21,25–27. Regarding the levels of resistance to clindamycin and erythromycin reported in this study (24% and 23%, respectively), a significant increase is seen, compared to reports made by our research group in previous studies in bacterial populations collected under the same conditions and geographical regions, but in different temporalities: in 2016, Guillén et al. reported clindamycin and erythromycin resistance levels of 6.9% for both antibiotics and in 2020, Rodriguez et al. reported clindamycin and erythromycin resistance levels of 15% and 17% respectively 25,27. Similar results were found by other authors who reported resistance percentages between 12 to 32% to erythromycin and between 9 to 20% in the case of clindamycin, in MRSA isolates associated with the community. The preferential use of clindamycin for the treatment of SSTI produced by MRSA, most in our study is probably the cause that favors the emergence of resistance to it during treatment, as well as the use of empirical treatment schemes not always adjusted to specific microbiological results of the patient 1.
Analyzing the type of clinical picture produced, higher frequencies of isolates causing SSTI were observed (77%) concerning invasive infections (23%); this could be attributed to the characteristics of the stages of life covered by the sampling: breastfeeding, childhood, and adolescence, in which situations such as blows, falls, skin scratches, which damage the epidermis, which is exposed to microorganisms that enter and cause infections, occur more frequently, which is why children are more susceptible to developing this type of infections caused by S. aureus 29, to which is added maternal colonization by S. aureus during pregnancy, which would increase the likelihood of the child being colonized by this microorganism at birth 30,31. Half of the samples came from children under six years of age, so the insufficient development of the immune system at this age, added to the dermatitis caused by moisture in the diaper area and the proximity of children in schools and daycare centers could further promote the occurrence of infectious conditions that could be aggravated in certain situations, and could even lead to systemic infections 29,32.
Almost 3/4 of the cases were recorded during the spring-summer months, from September to March in the southern hemisphere, 85% of which corresponded to infectious conditions originating from SSTI. The climatic conditions at this time of the year, characterized by average temperatures above 30°C and relative humidity between 60%-80%, is a favorable combination for the occurrence of skin infections associated with S. aureus 21,27. Although in the autumn-winter months, the number of isolates collected decreased, the trend of higher frequency of isolates causing skin and soft tissue infections was maintained, probably because in Paraguay the winter is very mild, with average temperatures between 16-19°C due to its subtropical climate.
Using the present study, the molecular detection of genes encoding enterotoxins belonging to the EGC cluster, considered a genetic marker of virulent clones, was achieved and it was established that these genes are highly prevalent in S. aureus isolates from infectious conditions in children, collected in the main health care centers of Paraguay, the importance of the finding lies in the potential that these toxins present for the development of serious infectious conditions produced by the bacterium.
It is also important to analyze the relationship between the detected genes and their expression, for which the experimental measurement of the secreted toxin, the protein encoded by the seg, sei, sem, sen, seo, and seu genes, by protein analysis or by measurement of mRNA expression by qPCR, should be carried out.
Therefore, we postulate as perspectives of the present study to analyze the expression of the detected genes that allow correlating the presence or absence of the encoded toxins with their expression, to establish if they are active or not in the infectious process.
5. Conclusions
The molecular detection of genes encoding enterotoxins belonging to the EGC cluster, considered a genetic marker of virulent clones, was achieved and it was established that these genes are highly prevalent in S. aureus isolates from infectious conditions in Paraguayan children, their importance lies in the potential that these toxins present for the development of severe infectious conditions produced by the bacterium.
Author Contributions
Conceptualization, F.R.A. and R.G.F.; methodology, F.R.A., C.S.D., S.F.A., and R.G.F.; software, F.R.A.; validation, F.R.A. and R.G.F.; formal analysis, F.R.A. and R.G.F.; investigation, F.R.A. and R.G.F.; resources, R.G.F.; data curation, F.R.A.; writing—original draft preparation, F.R.A.; writing—review and editing, F.R.A. and R.G.F.; visualization, F.R.A. and R.G.F.; supervision, R.G.F.; project administration, R.G.F.; funding acquisition, R.G.F. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted by the Declaration of Helsinki, and approved by the Ethics Committee of Instituto de Investigaciones en Ciencias de la Salud de la Universidad Nacional de Asunción (P23/2019 - October 8th, 2019).
Informed Consent Statement
Not applicable.
Data Availability Statement
Data are contained within the article.
Acknowledgments
The collaboration of the Grupo de estudio de Staphylococcus aureus del Paraguay, composed of: Campuzano de Rolón Ana, Agüero Martín, Ortellado de Canese Juana, Velázquez Gladys, Almada Patricia, Lezcano Richard from the Hospital de Clínicas (HCL, FCM-UNA); Castro Héctor, Rodríguez Mónica, Grau Lorena, Espínola Carmen, Velázquez Gladys from the Instituto de Previsión Social (IPS); Basualdo Wilma†, Quiñónez Beatriz†, Argüello Rocío, Zárate Noemí from the Hospital General Pediátrico Niños de Acosta Ñú, Ministerio de Salud Pública y Bienestar Social del Paraguay (HGP - MSPyBS), who participated in the samples collection from previous biobank projects, is recognized and appreciated.
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
Clinical and demographic characteristics of patients with S. aureus isolates (n=181).
Table 1.
Clinical and demographic characteristics of patients with S. aureus isolates (n=181).
Feature |
|
S. aureus, n (%) |
Biological sex |
Male |
110 (61) |
|
Female |
71 (39) |
Age range |
Infant (0–23 meses) |
43 (24) |
|
Pre-school (24–71 meses) |
47 (26) |
|
School (6–12 años) |
60 (33) |
|
Adolescent (>12 años) |
31 (17) |
Period of isolation |
Spring-Summer |
133 (73) |
|
Autumn-Winter |
48 (27) |
Hospital |
IPS |
91 (50) |
|
HGP |
79 (44) |
|
HCL |
11 (6) |
Biological material |
Purulent secretion |
150 (83) |
|
Blood |
26 (14) |
|
Fluids (CBF, Pleural, Peritoneal) |
5 (3) |
Table 2.
Antibiotic susceptibility of S. aureus isolates (n = 181).
Table 2.
Antibiotic susceptibility of S. aureus isolates (n = 181).
|
S. aureus n = 181 (100%) |
MRSA n=144 (80%) |
MSSA n = 37 (21%) |
p* |
ATB |
S (%) |
R (%) |
S (%) |
R (%) |
S (%) |
R (%) |
|
PEN |
1 (1) |
180 (99) |
0 (0) |
144(100) |
1 (3) |
36 (97) |
0.2044 |
CLI |
137 (76) |
44 (24) |
108 (75) |
36 (25) |
29 (78) |
8 (22) |
0.8304 |
ERI |
136 (75) |
42 (23) |
107 (74) |
34 (24) |
29 (78) |
8 (22) |
0.8307 |
GEN |
161 (89) |
17 (9) |
127 (88) |
15 (10) |
34 (92) |
2 (5) |
0.5302 |
RIF |
172 (95) |
4 (2) |
135 (94) |
4 (3) |
37 (100) |
0 (0) |
0.5805 |
CIP |
174 (96) |
2 (1) |
137 (95) |
2 (1) |
37 (100) |
0 (0) |
1.0000 |
TET |
179 (99) |
2 (1) |
144(100) |
0 (0) |
35 (95) |
2 (5) |
0.0409 |
TMS |
179 (99) |
2 (1) |
142 (99) |
2 (1) |
37 (100) |
0 (0) |
1.0000 |
Table 3.
Association between carriage of virulence factor encoding genes with S. aureus susceptibility or resistance to methicillin.
Table 3.
Association between carriage of virulence factor encoding genes with S. aureus susceptibility or resistance to methicillin.
Virulence factor gene |
seg |
sei |
sem |
sen |
seo |
Seu |
S. aureusn = 181 (100%)
|
161 (89) |
152 (84) |
113 (62) |
85 (47) |
146 (81) |
141 (78) |
MRSA n = 144 (80%) |
133 (92) |
127 (88) |
91 (63) |
73 (51) |
121 (84) |
121 (84) |
MSSA n = 37 (20%) |
28 (76) |
25 (68) |
22 (60) |
12 (32) |
25 (68) |
20 (54) |
p* |
0.0076 |
0.0047 |
0.7060 |
0.0641 |
0.0344 |
0.0002 |
Table 4.
Association of the carriage of virulence factor encoding genes with the type of infection caused by the microorganism.
Table 4.
Association of the carriage of virulence factor encoding genes with the type of infection caused by the microorganism.
Virulence factor gene |
seg |
sei |
sem |
sen |
seo |
Seu |
S. aureusn=181 (100%)
|
161 (89) |
151 (84) |
113 (62) |
85 (47) |
146 (81) |
141 (78) |
Invasive n=41 (23%) |
35 (85) |
30 (73) |
24 (59) |
17 (41) |
32 (78) |
24 (59) |
SSTI n=140 (77%) |
126 (70) |
121 (67) |
89 (64) |
68 (49) |
114 (81) |
117 (84) |
p* |
0.4035 |
0.0501 |
0.5856 |
0.4789 |
0.6554 |
0.0012 |
|
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