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Treponema pallidum Macrolide Resistance and Molecular Epidemiology in Southern Africa, 2008 to 2018.

Johanna M E VenterEtienne E MullerMahlape P MahlanguRanmini S Kularatne
Published in: Journal of clinical microbiology (2021)
Treponema pallidum macrolide resistance and clinical treatment failure have emerged rapidly within communities where macrolides have been used as convenient, oral therapeutic alternatives to benzathine penicillin G for syphilis or for other clinical indications. Macrolides are not included in the South African syndromic management guidelines for genital ulcer disease; however, in 2015, a 1-g dose of azithromycin was incorporated into treatment algorithms for genital discharge. We determined the prevalence of 23S rRNA macrolide resistance-associated point mutations in 135 T. pallidum-positive surveillance specimens from Botswana, Zimbabwe, and South Africa between 2008 and 2018. Additionally, we investigated the association between macrolide resistance, T. pallidum strain type, and HIV coinfection. A significant increase in the prevalence of the A2058G macrolide resistance-associated point mutation was observed in specimens collected after 2015. There was a high level of molecular heterogeneity among T. pallidum strains circulating in the study communities, with strain type 14d/f being the most predominant in South Africa. Fourteen novel strain types, derived from three new tpr gene restriction fragment length polymorphism patterns and seven new tp0548 gene sequence types, were identified. There was an association between A2058G-associated macrolide resistance and T. pallidum strain types 14d/f and 14d/g but no association between T. pallidum macrolide resistance and HIV coinfection. The majority of T. pallidum strains, as well as strains containing the A2058G mutation, belonged to the SS14-like clade. This is the first study to extensively detail the molecular epidemiology and emergence of macrolide resistance in T. pallidum in southern Africa.
Keyphrases
  • south africa
  • hiv positive
  • escherichia coli
  • risk factors
  • antiretroviral therapy
  • hepatitis c virus
  • public health
  • machine learning
  • gene expression
  • men who have sex with men
  • single cell
  • hiv aids
  • transcription factor