Title of article :
Streptococcus pyogenes strains associated with invasive and noninvasive infections present possible links with emm types and superantigens
Author/Authors :
Abid Khan, Rao Muhammad Department of Microbiology - University of Karachi - Karachi-75270, Pakistan , Anwar, Sana Liaquat National Hospital - Karachi-75270, Pakistan , Pirzada, Zaid Ahmed Department of Microbiology - University of Karachi - Karachi-75270, Pakistan
Abstract :
Objective(s): Streptococcus pyogenes, a notorious human pathogen is responsible to cause a wide range
of infections varies from superficial common clinical illness to severe and life threatening infections.
To our knowledge this is the first report exploring the emm types and superantigen/exotoxin gene
profile of S. pyogenes from Pakistan.
Materials and Methods: A total of 89 S. pyogenes strains were collected predominantly from throat swabs
followed by pus, tissues and wound swabs. Profile of five superantigen genes speA, speB, speC, speF and ssa
was screened for all the emm types.
Results: Extensive heterogeneity among S. pyogenes strains was indicated, revealing 34 different emm
types/ subtypes. The most prevalent emm types were emm68 and emm104. Some of the emm types
were exclusively isolated from invasive infections while others were isolated only from non-invasive
infections indicating the possible link between emm types and invasive/ noninvasive infections.
Similarly, erythromycin-resistant strains mainly belonged to three particular emm types. Multiplex
PCR analysis indicated the presence of speB 100%, speF 76%, speC 20%, speA 18% and ssa 15%.
Interestingly, superantigen genes speC and speA were mainly associated with invasive infections.
Among the five superantigens tested, one strain of emm12 harbored all the analyzed exotoxin genes,
while 4 strains carried 4 superantigen genes.
Conclusion: S. pyogenes clones associated with invasive and non-invasive infections in Pakistan present
differences in emm types, superantigens and antimicrobial resistance. The present data indicates the
possible link between particular genetic lineage of a bacterium with the manifestation of the infection.
Keywords :
GAS , Exotoxin , Invasive pathogens , Antibiotic resistance , MIC
Journal title :
Astroparticle Physics