Background We report on the antimicrobial resistance profile of Neisseria gonorrhoeae isolates and the distribution of tetM genes in isolates with high-level tetracycline resistance in KwaZulu-Natal, South Africa. Methods Male and female patients presenting with urethral and/or vaginal discharge were recruited into the study. Urethral and cervical secretions were cultured on New York City agar. Confirmatory tests for N. gonorrhoeae included Gram stain, catalase, oxidase, and carbohydrate utilization tests. Beta-lactamase was tested by means of the chromogenic cephalosporin test. Minimum inhibitory concentrations were determined using agar dilution with multipoint inoculation. Polymerase chain reaction with gel electrophoresis was used to detect the presence and type of the tetM gene. Results N. gonorrhoeae was isolated from the specimens of 319 (26%) of the 1220 recruited patients. Of these 319 isolates, 71% were resistant to 3 or more drugs. Resistance to azithromycin was found in 68% of the isolates. All isolates showed high-level tetracycline resistance with minimum inhibitory concentration values of 16 and 32 mg/mL. The tetM gene was present in 293 (92%). The American type was found in 264 (90%) and the Dutch type in 29 (10%). Twenty-six (8%) did not carry a tetM gene. Conclusions The current syndromic management with dual ceftriaxone and azithromycin is due to the high level of azithromycin resistance factually single-drug therapy. High-level tetracycline resistance based on a resistance mechanism other than ribosome protection by the tetM gene product is present in N. gonorrhoeae infecting South African patients.
Background. Bacterial vaginosis (BV) is associated with high-risk HPV (hrHPV) genotypes. There is a proposed bidirectional relationship between hrHPV and vaginal microbial diversity. This study investigated the association between BV associated bacteria in women co-infected with Human immunodeficiency virus (HIV) and hrHPV. Methods. Stored cervical cytobrush samples were used for real time PCR detection of eight BV associated bacteria. Analysis of BV bacteria detected against HPV infection, socio-demographics and HIV data were conducted in R Statistical computing software of the R Core Team, 2020, version 3.6.3. Results. A total of 190 samples were analysed. A. vaginae (p <0.001) BVAB 1 (p <0.001), BVAB 2 (p =0.428), BVAB 3 (p <0.001), Lactobacillus species (p =0.016) and S. sanguinegens (p =0.007) were associated with prevalent hrHPV. Increasing CIN severity was independently associated with detection of BVAB 1 OR 1.51(95% CI: 0.42-5.55), BVAB 3 OR 2.72(95% CI:0.90-8.55) and S. sanguinegens OR 1.02(95% CI:0.37-2.80). All HPV genotypes/groups, gravida <2, A. vaginae (p =0.002) and BVAB 1 (p =0.026) were significantly associated with HPV persistence. BVAB 3, p =0.010 and HPV 16 were significantly associated with HPV reinfection. Conclusion. There is a significant association of A. vaginae, BVAB 1, BVAB 3, S. sanguinegens and Lactobacillus spp to prevalent hrHPV. BVAB 1, BVAB 3 and S. sanguinegens had an increased odds for increasing CIN severity. A vaginae, BVAB 1, gravida and all the HPV genotypes/groups were significantly associated with HPV persistence. Only BVAB 3 and HPV 16 were significantly associated with hrHPV reinfection at 1 year review. BVAB 1 and BVAB 3 are possible biomarkers for HPV infection and CIN progression.
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