ABSTRACT
Objective: To estimate the prevalence of antibiotic resistance of Neisseria species in Iran. Methods: A systematic and electronic search using relevant keywords in major national and international databases was performed until 6th July, 2018 in order to find studies reporting the prevalence of antibiotic resistance of Neisseria species in Iran. Results: A total of nine studies were found to be eligible based on predefined inclusion and exclusion criteria. Our analysis indicated that the prevalence of Neisseria gonorrhoeae resistance to different antibiotics was as follows: 66.9% to penicillin, 59.1% to ciprofloxacin, 11.1% to ceftriaxone, 21.6% to spectinomycin, 13.8% to cefixime, 82.4% to co-trimoxazole, 52.7% to tetracycline, 29.9% to gentamicin, 87.5% to ampicillin, 11.1% to azithromycin, 2.2% to chloramphenicol, 50.1% to cefepime and 50.0% to vancomycin. Antimicrobial resistance rates of Neisseria meningitidis was as follows: 30.0% to penicillin, 33.3% to amoxicillin, 33.3% to cephalexin, 55.6% to ampicillin and 0.0% to ciprofloxacin, ceftriaxone, cefotaxime, amikacin, co-trimoxazole, gentamicin, kanamycin, chloramphenicol and ceftizoxime. Conclusion: Neisseria gonorrhoeae and Neisseria meningitidis isolates of Iran show resistance to different types of antibiotics. Therefore, care should be exercised for the use of penicillin, ciprofloxacin, co-trimoxazole, tetracycline, gentamicin, ampicillin, cefepime and vancomycin for gonococcal infections, and also with respect to the use of penicillin, amoxicillin, ampicillin and cephalexin for meningococcal infections in Iran.
ABSTRACT
Objective: To estimate the prevalence of antibiotic resistance of Neisseria species in Iran. Methods: A systematic and electronic search using relevant keywords in major national and international databases was performed until 6th July, 2018 in order to find studies reporting the prevalence of antibiotic resistance of Neisseria species in Iran. Results: A total of nine studies were found to be eligible based on predefined inclusion and exclusion criteria. Our analysis indicated that the prevalence of Neisseria gonorrhoeae resistance to different antibiotics was as follows: 66.9% to penicillin, 59.1% to ciprofloxacin, 11.1% to ceftriaxone, 21.6% to spectinomycin, 13.8% to cefixime, 82.4% to co-trimoxazole, 52.7% to tetracycline, 29.9% to gentamicin, 87.5% to ampicillin, 11.1% to azithromycin, 2.2% to chloramphenicol, 50.1% to cefepime and 50.0% to vancomycin. Antimicrobial resistance rates of Neisseria meningitidis was as follows: 30.0% to penicillin, 33.3% to amoxicillin, 33.3% to cephalexin, 55.6% to ampicillin and 0.0% to ciprofloxacin, ceftriaxone, cefotaxime, amikacin, co-trimoxazole, gentamicin, kanamycin, chloramphenicol and ceftizoxime. Conclusion: Neisseria gonorrhoeae and Neisseria meningitidis isolates of Iran show resistance to different types of antibiotics. Therefore, care should be exercised for the use of penicillin, ciprofloxacin, co-trimoxazole, tetracycline, gentamicin, ampicillin, cefepime and vancomycin for gonococcal infections, and also with respect to the use of penicillin, amoxicillin, ampicillin and cephalexin for meningococcal infections in Iran.
ABSTRACT
The spa gene occurs in all strains of Staphylococcus aureus [S. aureus], can function as a genetic marker and might be used distinguish strains at the species level. Hence, due to these advantages, we used spa typing and the Based Upon Repeat Pattern [BURP] to assign the clonal and phylogenetic relationships of S. aureusstrains. The sensitivity of S. aureus strains to methicillin was determined using agar disk diffusion. The extracted DNA from 56 isolates of S. aureus was subjected to PCR to detect the spa gene with specific primers. The spa typing method was performed for each of the isolates, and then, BURP was used to cluster spa types [spa-CCs]. Finally, using relevant software, the phylogenic tree was drawn. The results of this study showed that 25 out of 56 [44.6%] isolates were resistant to methicillin. The typing of S. aureus isolates revealed 24 different spa types among 56 isolates, and BURP analysis clustered the 24 spa types into 5 spa clonal complexes [CCs] and 12 singletons. The process of spa typing, in combination with BURP analysis, provides an efficient method for investigating phylogenetic and clonal relationships among clinical isolates and can be useful for monitoring bacterial spread between hospitals and communities as well as between and within hospitals
ABSTRACT
Introduction: Susceptibility to tuberculosis [TB] infection varies in individuals and is linked to genetic variations in the toll-like receptors [TLRs] genes. The current study employed a systematic literature review and meta-analysis to describe the most prevalent single nucleotide polymorphisms [SNPs] from various TLRs and to assess the association between these polymorphisms and tuberculosis susceptibility
Methods: The PubMed, Google Scholar, Scopus, and ISI Web of Knowledge databases were searched for all articles published before May 25, 2015, that contained the target keywords. Following the application of the inclusion and exclusion criteria, a total of 37 relevant articles were identified that examined the association between the TLRs gene polymorphism and susceptibility to tuberculosis
Result: A meta-analyses approach to the research determined that there is a statistically significant association between TLR1 rs4833095, TLR6 rs5743810, and TLR8 rs3788935 in the allelic model and also TLR1 rs4833095, TLR1 rs5743018, TLR2 rs5743708, TLR6 rs5743810, and TLR8 rs3761624 in the co-dominant model with increased or decreased susceptibility to tuberculosis. No associations were observed between the other TLRs polymorphisms and tuberculosis risk
Discussion: Several studies have found that host genetic factors, such as SNPs in TLRs gene, may increase an individual's susceptibility to tuberculosis. Therefore, the identification of these SNPs is important to investigate immune responses to TB
Conclusion: The present study concluded that there is an association between some polymorphisms of TLRs and tuberculosis risk. Thus, for a better understanding about the role of SNPs to TB susceptibility, additional studies on alternative TLRs SNPs are needed