Genotypic Characterization of Clinical Klebsiella spp. Isolates Collected From Patients With Suspected

Patricia Saxenborn1, John Baxter1, Andreas Tilevik1

  • 1Systems Biology Research Centre, School of Bioscience, University of Skövde, Skövde, Sweden.

Insights

Whole-genome sequencing revealed frequent misidentification of Klebsiella pneumoniae, with other species like Klebsiella variicola often implicated in infections. This highlights the need for advanced methods to accurately diagnose Klebsiella infections and manage drug resistance.

Area of Science:

  • Clinical microbiology
  • Bacterial genomics
  • Infectious diseases

Background:

  • Klebsiella species are opportunistic pathogens causing diverse human infections.
  • Highly drug-resistant Klebsiella pneumoniae poses a significant clinical challenge.
  • Conventional methods often misidentify Klebsiella species, underrecognizing clinical significance.

Purpose of the Study:

  • To characterize the diversity and traits of Klebsiella species in community-onset infections using whole-genome sequencing (WGS).
  • To assess the accuracy of conventional microbiological methods in identifying Klebsiella species.
  • To investigate antimicrobial resistance profiles and genotypic diversity within clinical Klebsiella isolates.

Main Methods:

  • Whole-genome sequencing (WGS) of 105 clinical Klebsiella isolates from a prospective sepsis study in Sweden.
  • Comparison of WGS results with initial identification by routine microbiological methods (culture and MALDI-TOF MS).
  • Analysis of antimicrobial resistance genes, prediction of multidrug-resistance (MDR), and multi-locus sequence typing (MLST).

Main Results:

  • 39.0% of isolates initially identified as K. pneumoniae were misidentified by conventional methods; 23 were K. variicola, and nine were other K. pneumoniae complex members.
  • Significantly fewer resistance genes were found in K. oxytoca compared to K. pneumoniae and K. variicola (p < 0.001).
  • High genotypic multidrug-resistance (MDR) was predicted in K. pneumoniae complex (94.0%) and K. oxytoca (18.8%), often involving beta-lactam, fosfomycin, and quinolone resistance markers.

Conclusions:

  • High-resolution genotypic methods like WGS are crucial for accurate identification and characterization of clinical Klebsiella isolates.
  • Infections caused by Klebsiella species other than K. pneumoniae are more common than previously recognized due to misidentification.
  • Understanding the true species distribution and resistance profiles is essential for effective clinical management of Klebsiella infections.