Rapid, simple multi-locus variable number tandem repeat analysis: a reliable tool for Klebsiella pneumoniae outbreak
C Legouge1, P Bidet2, M Gits-Muselli2
1Service de Microbiologie, Centre National de Référence Associé Escherichia coli, Hôpital Robert-Debré, AP-HP, Paris, France.
The Journal of Hospital Infection
|August 27, 2023
Summary
Multi-locus variable number tandem repeat analysis (MLVA) is a rapid and reliable tool for identifying related Klebsiella pneumoniae strains. This method aids in epidemiological investigations and outbreak detection, complementing whole-genome sequencing for definitive analysis.
Area of Science:
- Microbiology
- Epidemiology
- Genetics
Background:
- Nosocomial infections caused by Klebsiella pneumoniae are a growing concern due to increasing multi-drug resistance.
- There is a critical need for rapid and efficient typing tools to monitor the spread of K. pneumoniae strains.
Purpose of the Study:
- To evaluate a rapid multiplex polymerase chain reaction (PCR) method utilizing multi-locus variable number tandem repeat analysis (MLVA) as a screening tool.
- To determine the relatedness of Klebsiella pneumoniae strains within a short timeframe (<5 hours).
Main Methods:
- Assessed the discriminatory power of MLVA on 72 diverse K. pneumoniae isolates, including community, virulent, and resistant strains.
- Compared MLVA results with whole-genome sequencing (WGS) and multi-locus sequence typing (MLST) for validation.
- Investigated suspected outbreak strains and a case of relapsed meningitis.
Main Results:
- MLVA demonstrated a discriminatory power comparable to MLST, yielding 54 unique profiles among 72 unrelated isolates (Hunter-Gaston index 0.989).
- MLVA generally correlated well with sequence types (STs), with minor exceptions noted.
- MLVA analysis suggested a common source for five out of seven neonatal sepsis isolates, excluding two with distinct profiles.
Conclusions:
- The MLVA approach is a valuable, rapid, and dependable tool for epidemiological investigations, requiring basic molecular biology equipment.
- MLVA effectively identifies sporadic isolates and aids in initial outbreak screening.
- Further analysis using highly discriminatory methods like WGS is recommended for strains sharing the same MLVA type.


