Affiliation:
1. Research Institute of Physico-Chemical Medicine, Moscow, Russian Federation
2. Central Research Institute of Dermatology and Venerology, Moscow, Russian Federation
3. National Research Centre for Antibiotics, Moscow, Russian Federation
Abstract
ABSTRACT
The main goal of this work is to clarify the predictive value of known genetic markers of
Neisseria gonorrhoeae
resistance to penicillin, tetracycline, and fluoroquinolones. The correlation between the presence of certain genetic markers and susceptibility of
N. gonorrhoeae
isolates to penicillin, tetracycline, and fluoroquinolones has been analyzed by means of statistical methods. Susceptibility testing with penicillin, tetracycline, and fluoroquinolones was performed by the agar dilution method.
N. gonorrhoeae
genomic DNA was isolated. The presence of
bla
TEM-1
and
tet
(
M
) genes was analyzed by PCR. A novel method of polymorphism discovery based on a minisequencing reaction followed by matrix-assisted laser desorption ionization-time-of-flight mass spectrometry was applied for the analysis of chromosomal
N. gonorrhoeae
genes involved in antimicrobial resistance development. Clinical
N. gonorrhoeae
isolates (
n
= 464) were collected. Susceptibility levels to penicillin, tetracycline, and fluoroquinolones were found to be 25.9%, 35.9%, and 54.1%, respectively. Among the 19
N. gonorrhoeae
isolates with penicillin MICs of ≥4 μg/ml, the
bla
TEM-1
gene was detected in 12. The Tet(M) determinant was found in 4 of 12
N. gonorrhoeae
isolates with tetracycline MICs of ≥16 μg/ml. The chromosomal genetic markers of penicillin and tetracycline resistance were detected especially in isolates with penicillin MICs of 0.25 to 2.0 μg/ml and tetracycline MICs of 0.5 to 4 μg/ml. Mutations in GyrA and ParC were found in 208 of 211 quinolone-resistant
N. gonorrhoeae
isolates. This work is the first representative molecular research of the
N. gonorrhoeae
population in Russia. Information about the prevalence of antibiotic resistance mechanisms and the positive predictive value of certain genetic determinants is given. The positive predictive values of the analyzed genetic markers were found to be different for fluoroquinolones (90.3%), penicillin (91.1%), and tetracycline (81.9%).
Publisher
American Society for Microbiology
Subject
Infectious Diseases,Pharmacology (medical),Pharmacology
Cited by
32 articles.
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