Scientists can predict ciprofloxacin resistance in Klebsiella pneumoniae from genome data
The team assembled a matched genotype-phenotype dataset of 12,167 isolates from the Klebsiella pneumoniae species complex, drawn from 27 countries and collected between 2001 and 2021. Each isolate carried both whole genome sequence data and laboratory-measured ciprofloxacin susceptibility, allowing the researchers to link specific genetic features to observed resistance phenotypes. When tested against the discovery dataset, the classifier achieved categorical agreement, sensitivity and specificity all above 96 percent, with major and very major error rates below 4 percent. Performance remained similar across diverse isolate sources, including human, animal and other origins, and across different species and lineages within the K. pneumoniae species complex. The authors emphasize that their findings support surveillance rather than clinical use. Ciprofloxacin resistant K. pneumoniae is…
