Detection of Cna, Ica, Hlg and SdrE Virulent genes from Staphylococcus aureus Isolates in Khartoum State

Abstract

S. aureus is an extraordinarily versatile pathogen, and it can cause a large spectrum of infections, from mild to severe and fatal. It is important in humans and also economically important when infecting animals, able to cause superficial lesions and systemic infections. The aim of this study is to detect Can, Ica, Hlg and SdrE virulent genes of Staphylococcus aureus associated with different types of infections among Sudanese in Khartoum State. The Samples were collected from different hospitals in Khartoum, and participants were of all ages who visited hospitals for care or for treatment of different illnesses. Sixty five isolates were confirmed as Staphylococcus aureu by primary and secondary biochemical tests. Among which 30 (46%) were from infected wounds followed by urine samples 25 (38.46%) and blood samples 10 (15%). The sensitivity profile of the isolates to Vancomycin, Gentamicin and Ciprofloxacin showed that more than 50% of the isolates are resistant to these antibiotics. Ica gene was found predominating (73.85%) of the isolates. SdrE 38.46% and Can and Hlg genes were 29.25% and 7.69% respectively. The relationship between the virulence genes and resistance to antibiotics showed that the highest resistance was observed in isolates with Ica and SdrE followed by Cna and Hlg, The relationship between virulent genes and antibiotic resistance was indicated significant relationships (p=.03) between Ciprofloxacin resistance and the presence of SdrE gene as well as between Methicillin resistance and the presence of SdrE and Ica genes (p= .00 for both). Distribution of virulent genes according to gender and age indicate no significant associations in any Staphylocoocus aureus virulent genes vi in the current study with age or gender. Regarding type of samples; significant association (p= .00) has been detected between Hlg gene and the type of sample, and no other significant relationships were detected. Information generated from the current study can be used by surveillance agencies to identify the new strains, link one type of infection to other or identify emerging or re-emerging strains that may have significance in causing outbreaks.