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Typing of Treponema pallidum in a Brazilian sample and follow-up of treatment using molecular assays.

Júlio Henrique Ferreira de Sá QueirozTiago da Silva FerreiraKelle Cristhiane Soria Vieira BenedettiAnny Danyelly da Costa RibeiroRonaldo Omizolo de SouzaSimone Simionatto
Published in: Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] (2024)
Syphilis remains a significant public health concern, with serological assays being the primary method for diagnosis. However, molecular techniques have proven to be reliable tools for the diagnosis and understanding of the transmission dynamics of Treponema pallidum infection. This study aimed to evaluate the efficacy of syphilis treatment using molecular assays, perform Enhanced Centers for Disease Control and Prevention (ECDC) typing, and analyze resistance (macrolide and doxycycline) in the T. pallidum isolate. PCR assay amplified treponemal DNA only from the lesion sample, whereas qPCR was able to amplify DNA in both lesion and blood samples before treatment. Throughout the treatment follow-up, qPCR effectively did not identify treponemal DNA in the blood for up to one to two weeks after treatment. ECDC typing revealed the genotype 14 e/g in the Brazilian T. pallidum isolate, and the presence of the A2058G mutation in 23 S rRNA gene, indicating macrolide resistance. Although, the G1058C mutation in 16 S rRNA gene was not detected. Notably, qPCR demonstrated its potential for diagnosing T. pallidum in blood samples, even when the treponemal DNA levels were low, enabling more accurate and sensitive diagnosis and guiding better syphilis therapy. In addition, to the best of our knowledge, this study represents the first identification of subtype 14 e/g and azithromycin resistance in a Brazilian T. pallidum isolate.
Keyphrases
  • public health
  • single molecule
  • high throughput
  • circulating tumor
  • healthcare
  • cell free
  • men who have sex with men
  • single cell
  • stem cells
  • cell therapy
  • smoking cessation
  • gestational age
  • genome wide identification