Using MALDI-TOF MS typing method to decipher outbreak: the case of Staphylococcus saprophyticus causing urinary tract infections (UTIs) in Marseille, France - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue European Journal of Clinical Microbiology and Infectious Diseases Année : 2017

Using MALDI-TOF MS typing method to decipher outbreak: the case of Staphylococcus saprophyticus causing urinary tract infections (UTIs) in Marseille, France

Résumé

Staphylococcus saprophyticus is one of the leading causes of urinary tract infections (UTI). In December 2014, our surveillance system identified an abnormal increase in S. saprophyticus causing UTIs in four university hospitals in Marseille, indicating a suspected community S. saprophyticus UTI outbreak. This was detected by our surveillance system BALYSES (Bacterial real-time Laboratory-based Surveillance System). S. saprophyticus/ Escherichia coli UTI ratio increased three-fold from 0.0084 in 2002 to 0.025 in December 2015 in Marseille with an abnormal peak in December 2014, and with an annual estimated ratio trend of 5.10(-6) (p-value < 10(-3)). Matrix-Assisted Laser Desorption Ionisation-Time of Flight Mass Spectrometry (MALDI-TOF MS) spectral analysis of strains was used to analyse strains cluster expansion, comparing strains from Marseille to those from Nice during the same period. MALDI-TOF MS spectral analysis revealed a geographical restricted clonal expansion of the strains clusters in Marseille as compared to Nice. Our finding suggests (i) a geographically restricted expansion of a specific S. saprophyticus strain clusters circulating in Marseille, and (ii) MALDI-TOF MS can be used as a cost-effective tool to investigate an outbreak.
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Dates et versions

hal-01729791 , version 1 (12-03-2018)

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K. D. Mlaga, G. Dubourg, C. Abat, H. Chaudet, L. Lotte, et al.. Using MALDI-TOF MS typing method to decipher outbreak: the case of Staphylococcus saprophyticus causing urinary tract infections (UTIs) in Marseille, France. European Journal of Clinical Microbiology and Infectious Diseases, 2017, 36 (12), pp.2371-2377. ⟨10.1007/s10096-017-3069-6⟩. ⟨hal-01729791⟩

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