Put your money where your mouth is: Surveillance of antibiotic resistance within the commensal Neisseria
Regan, M. R.; McDevitt, C. J.; Robinson, L. R.; Issifou, S.; Wadsworth, C. B.
Show abstract
Commensal Neisseria species are major reservoirs of adaptive genetic variation, including antimicrobial resistance, for their pathogenic relatives, yet they remain poorly characterized. This gap limits our ability to anticipate resistance mechanisms that may ultimately emerge Neisseria gonorrhoeae and N. meningitidis. Here, we analyzed 166 novel commensal Neisseria isolates collected from 31 study participants and measured minimum inhibitory concentrations (MICs) for seven antimicrobials: azithromycin, cefixime, ceftriaxone, ciprofloxacin, doxycycline, and gentamicin. Resistance, defined using the Clinical and Laboratory Standards Institute (CLSI) guidelines, was highly prevalent for azithromycin (76%) and doxycycline (52%), while no resistance to gentamicin was observed. High-level doxycycline resistance was always associated with inheritance of tetM. Reduced susceptibility to azithromycin was linked to an MtrD K823E substitution, and reduced susceptibility to ciprofloxacin was associated with GyrA T91I (N. subflava) or S91V (N. mucosa). The PenA 312M mutation was associated with significantly elevated ceftriaxone and cefixime MICs. Across all antimicrobials, MICs varied widely, indicating the presence of additional modulating mutations. Finally, the genetic determinants underlying low-level doxycycline resistance and reduced penicillin susceptibility remain unresolved. Overall, here we continue to build on the foundation of surveillance efforts in the commensal Neisseria, and continue to flesh out what is known and unknown about this early warning system - or canary in the coal mine - for emerging resistance and clinically consequential evolution in pathogenic Neisseria.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The global phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia 96%
- Increased antibiotic susceptibility in Neisseria gonorrhoeae through adaptation to the cervical environment 96%
- Genomic dissection of the bacterial population underlying Klebsiella pneumoniae infections in hospital patients: insights into an opportunistic pathogen 96%
Similar papers in this journal
- Piperacillin/tazobactam resistant, cephalosporin susceptible Escherichia coli bloodstream infections are driven by multiple acquisition of resistance across diverse sequence types 96%
- Genomic analysis of extended-spectrum beta-lactamase (ESBL) producing Escherichia coli colonising adults in Blantyre, Malawi reveals previously undescribed diversity. 96%
- Genomic and antigenic diversity of carried Klebsiella pneumoniae isolates mirrors that of invasive isolates in Blantyre, Malawi 95%
Similar papers in this journal
- Targeted surveillance strategies for efficient detection of novel antibiotic resistance variants 97%
- RNA polymerase mutations cause cephalosporin resistance in clinical Neisseria gonorrhoeae isolates 96%
- Comprehensive analysis of horizontal gene transfer among multidrug-resistant bacterial pathogens in a single hospital 96%
Similar papers in this journal
- Genomic adaptation in group B Streptococcus following intrapartum antibiotic prophylaxis and childbirth 96%
- Genomic surveillance of vancomycin-resistant Enterococcus faecium reveals spread of a linear plasmid conferring a nutrient utilization advantage 95%
- Evolutionary processes driving the rise and fall of Staphylococcus aureus ST239, a dominant hybrid pathogen 95%
Similar papers in this journal
- Heterogeneity of Candida bloodstream isolates in an academic medical center and affiliated hospitals 94%
- Genetic Determinants Underlying the Progressive Phenotype of Beta-lactam/Beta-lactamase Inhibitor Resistance in Escherichia coli 93%
- Optimised methods for the targeted surveillance of extended-spectrum beta-lactamase producing Escherichia coli in human stool 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.