Lo C. I., Fall B., Sambe-Ba B., Diawara S., Gueye M. W., Mediannikov Oleg, Sokhna Cheikh, Faye N., Dieme Y., Wade B., Raoult Didier, Fenollar F. (2015). MALDI-TOF Mass Spectrometry: A Powerful Tool for Clinical Microbiology at Hopital Principal de Dakar, Senegal (West Africa). Plos One, 10 (12), p. e0145889 [12 p.]. ISSN 1932-6203.
Titre du document
MALDI-TOF Mass Spectrometry: A Powerful Tool for Clinical Microbiology at Hopital Principal de Dakar, Senegal (West Africa)
Année de publication
2015
Auteurs
Lo C. I., Fall B., Sambe-Ba B., Diawara S., Gueye M. W., Mediannikov Oleg, Sokhna Cheikh, Faye N., Dieme Y., Wade B., Raoult Didier, Fenollar F.
Source
Plos One, 2015,
10 (12), p. e0145889 [12 p.] ISSN 1932-6203
Our team in Europe has developed the routine clinical laboratory identification of microorganisms by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS). To evaluate the utility of MALDI-TOF MS in tropical Africa in collaboration with local teams, we installed an apparatus in the Hopital Principal de Dakar (Senegal), performed routine identification of isolates, and confirmed or completed their identification in France. In the case of discordance or a lack of identification, molecular biology was performed. Overall, 153/191(80.1%) and 174/191(91.1%) isolates yielded an accurate and concordant identification for the species and genus, respectively, with the 2 different MALDI-TOF MSs in Dakar and Marseille. The 10 most common bacteria, representing 94.2% of all bacteria routinely identified in the laboratory in Dakar (Escherichia coli, Klebsiella pneumoniae, Streptococcus agalactiae, Acinetobacter baumannii, Pseudomonas aeruginosa, Staphylococcus aureus, Staphylococcus haemolyticus, Enterobacter cloacae, Enterococcus faecalis, and Staphylococcus epidermidis) were accurately identified with the MALDI-TOF MS in Dakar. The most frequent misidentification in Dakar was at the species level for Achromobacter xylosoxidans, which was inaccurately identified as Achromobacter denitrificans, and the bacteria absent from the database, such as Exiguobacterium aurientacum or Kytococcus schroeteri, could not be identified. A few difficulties were observed with MALDI-TOF MS for Bacillus sp. or oral streptococci. 16S rRNA sequencing identified a novel bacterium, "Necropsobacter massiliensis." The robust identification of microorganisms by MALDI-TOF MS in Dakar and Marseille demonstrates that MALDI-TOF MS can be used as a first-line tool in clinical microbiology laboratories in tropical countries.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Entomologie médicale / Parasitologie / Virologie [052]
Description Géographique
SENEGAL ; DAKAR
Localisation
Fonds IRD [F B010066089]
Identifiant IRD
fdi:010066089
