Establishing Novel Molecular Algorithms to Predict Decreased Susceptibility to Ceftriaxone in Neisseria gonorrhoeae Strains

• Published in: The Journal of infectious diseases Vol. 223; no. 7; pp. 1232 - 1240
• Main Authors: Lin, Eric Y, Adamson, Paul C, Deng, Xiaomeng, Klausner, Jeffrey D
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 08.04.2021
• Subjects: Algorithms; Anti-Bacterial Agents - pharmacology; Antibiotics; Bacterial Proteins - genetics; Ceftriaxone; Ceftriaxone - pharmacology; Gonorrhea; Literature reviews; Major and Brief Reports; Microbial Sensitivity Tests; Minimum inhibitory concentration; Mosaicism; Mutation; Neisseria gonorrhoeae; Neisseria gonorrhoeae - drug effects; Neisseria gonorrhoeae - genetics; Susceptibility; ceftriaxone; algorithms; decreased susceptibility; gonorrhea; resistance; Neisseria gonorrhoeae
• ISSN: 0022-1899; 1537-6613; 1537-6613
• DOI: 10.1093/infdis/jiaa495

Abstract Background Globally, decreased susceptibility to ceftriaxone in Neisseria gonorrhoeae is rising. We aimed to compile a global collection of N. gonorrhoeae strains and assess the genetic characteristics associated with decreased susceptibility to ceftriaxone. Methods We performed a literature review of all published reports of N. gonorrhoeae strains with decreased susceptibility to ceftriaxone (>0.064 mg/L minimum inhibitory concentration) through October 2019. Genetic mutations in N. gonorrhoeae genes (penA, penB, mtrR, and ponA), including determination of penA mosaicism, were compiled and evaluated for predicting decreased susceptibility to ceftriaxone. Results There were 3821 N. gonorrhoeae strains identified from 23 countries and 684 (18%) had decreased susceptibility to ceftriaxone. High sensitivities or specificities (>95%) were found for specific genetic mutations in penA, penB, mtrR, and ponA, both with and without determination of penA mosaicism. Four algorithms to predict ceftriaxone susceptibility were proposed based on penA mosaicism determination and penA or non-penA genetic mutations, with sensitivity and specificity combinations up to 95% and 62%, respectively. Conclusion Molecular algorithms based on genetic mutations were proposed to predict decreased susceptibility to ceftriaxone in N. gonorrhoeae. Those algorithms can serve as a foundation for the development of future assays predicting ceftriaxone decreased susceptibility within N. gonorrhoeae globally. A global collection of 3821 Neisseria gonorrhoeae strains was compiled and analyzed for penA and non-penA genetic alterations associated with decreased susceptibility to ceftriaxone. Four molecular algorithms were developed to predict decreased susceptibility to ceftriaxone with high sensitivity or specificity.