AI Article Synopsis

  • The study addresses the challenge of treating gonorrhoea due to increasing multidrug-resistant strains and emphasizes the importance of cost-effective molecular diagnostic tests for effective treatment.
  • It involved analyzing mRNA expression levels of antibiotic resistance genes and efflux pump genes in clinical samples from KwaZulu-Natal, South Africa, using techniques like quantitative real-time PCR and whole-genome sequencing.
  • Key findings identified specific gene expression markers that significantly predict resistance, suggesting that monitoring these markers could improve antimicrobial stewardship and patient management in gonorrhoea treatment.*

Article Abstract

Introduction: Treatment of gonorrhoea infection is limited by the increasing prevalence of multidrug-resistant strains. Cost-effective molecular diagnostic tests can guide effective antimicrobial stewardship. The aim of this study was to correlate mRNA expression levels in antibiotic target genes and efflux pump genes to antibiotic resistance in our population.

Methods: This study investigated the expression profile of antibiotic resistance-associated genes (, , , , , , , , , , , and ) and efflux pump genes (, and ), by quantitative real-time PCR, in clinical isolates from KwaZulu-Natal, South Africa. Whole-genome sequencing was used to determine the presence or absence of mutations.

Results: isolates, from female and male patients presenting for care at clinics in KwaZulu-Natal, South Africa, were analysed. As determined by binomial regression and ROC analysis, the most significant ( ≤ 0.05) markers for resistance prediction in this population, and their cutoff values, were determined to be ( = 0.024; cutoff <0.089), ( = 0.027; cutoff <0.0518) ( = 0.036; cutoff <0.0033) ( = 0.047; cutoff <0.0012), and 23S rRNA ( = 0.042; cutoff >7.754).

Conclusion: Antimicrobial stewardship includes exploring options to conserve currently available drugs for gonorrhoea treatment. There is the potential to predict an isolate as either susceptible or nonsusceptible based on the mRNA expression level of specific candidate markers, to inform patient management. This real-time qPCR approach, with few targets, can be further investigated for use as a potentially cost-effective diagnostic tool to detect resistance.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616671PMC
http://dx.doi.org/10.1155/2022/7318325DOI Listing

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