From Investigating a Case of Cellulitis to Exploring Nosocomial Infection Control of ST1 Legionella pneumophila Using Genomic Approaches.
Charlotte MichelFedoua EchahidiSammy PlaceLorenzo FilippinVincent ColombieNicolas YinDelphine MartinyOlivier VandenbergDenis PiérardMarie HallinPublished in: Microorganisms (2024)
Legionella pneumophila can cause a large panel of symptoms besides the classic pneumonia presentation. Here we present a case of fatal nosocomial cellulitis in an immunocompromised patient followed, a year later, by a second case of Legionnaires' disease in the same ward. While the first case was easily assumed as nosocomial based on the date of symptom onset, the second case required clear typing results to be assigned either as nosocomial and related to the same environmental source as the first case, or community acquired. To untangle this specific question, we applied core-genome multilocus typing (MLST), whole-genome single nucleotide polymorphism and whole-genome MLST methods to a collection of 36 Belgian and 41 international sequence-type 1 (ST1) isolates using both thresholds recommended in the literature and tailored threshold based on local epidemiological data. Based on the thresholds applied to cluster isolates together, the three methods gave different results and no firm conclusion about the nosocomial setting of the second case could been drawn. Our data highlight that despite promising results in the study of outbreaks and for large-scale epidemiological investigations, next-generation sequencing typing methods applied to ST1 outbreak investigation still need standardization regarding both wet-lab protocols and bioinformatics. A deeper evaluation of the L. pneumophila evolutionary clock is also required to increase our understanding of genomic differences between isolates sampled during a clinical infection and in the environment.
Keyphrases
- genetic diversity
- acinetobacter baumannii
- methicillin resistant staphylococcus aureus
- klebsiella pneumoniae
- systematic review
- healthcare
- copy number
- multidrug resistant
- gene expression
- case report
- genome wide
- drug resistant
- escherichia coli
- physical activity
- climate change
- risk assessment
- machine learning
- smoking cessation
- cystic fibrosis
- mechanical ventilation
- artificial intelligence