TY - JOUR
T1 - Comparing identification of clinically relevant Prevotella species by VITEK MS and MALDI biotyper
AU - ESCM Study Grp Anaerobic Infection
AU - Toprak, Nurver Ulger
AU - Veloo, Alida C. M.
AU - Urban, Edit
AU - Wybo, Ingrid
AU - Jean-Pierre, Helene
AU - Morris, Trefor
AU - Justesen, Ulrik Stenz
AU - Tripkovic, Vesna
AU - Jeverica, Samo
AU - Soyletir, Guner
AU - Nagy, Elisabeth
PY - 2020/3/1
Y1 - 2020/3/1
N2 - In this multicenter study, we aimed to evaluate the performance of MALDI Biotyper and VITEK MS, for identification of Prevotella species. Three hundred and fourteen clinical isolates, collected in eight European countries between January 2014 and April 2016, were identified at the collecting sites by MALDI Biotyper (versions 3.0 and 3.1) and then reidentified by VITEK MS (version 3.0) in the central laboratory. 16S rRNA gene sequencing was used as a standard method. According to sequence analysis, the 314 Prevotella strains belonged to 19 species. MALDI Biotyper correctly identified 281 (89.5%) isolates to the species level and 33 (10.5%) only at the genus level. VITEK MS correctly identified 253 (80.6%) isolates at the species level and 276 (87.9%) isolates at the genus level. Thirty-three isolates belonging to P. bergensis, P. conceptionensis, P. corporis, P. histicola, and P. nanciensis, unavailable in the VITEK MS 3.0 database, were resulted in genus level or no identification. Six Prevotella strains, belonged to P. veroralis, P. timonensis, and P. conceptionensis not represented in the MALDI Biotyper system database, were misidentified at the genus level. In conclusion, both VITEK MS and MALDI Biotyper provided reliable and rapid identification. However, the permanent extension of the databases is needed.
AB - In this multicenter study, we aimed to evaluate the performance of MALDI Biotyper and VITEK MS, for identification of Prevotella species. Three hundred and fourteen clinical isolates, collected in eight European countries between January 2014 and April 2016, were identified at the collecting sites by MALDI Biotyper (versions 3.0 and 3.1) and then reidentified by VITEK MS (version 3.0) in the central laboratory. 16S rRNA gene sequencing was used as a standard method. According to sequence analysis, the 314 Prevotella strains belonged to 19 species. MALDI Biotyper correctly identified 281 (89.5%) isolates to the species level and 33 (10.5%) only at the genus level. VITEK MS correctly identified 253 (80.6%) isolates at the species level and 276 (87.9%) isolates at the genus level. Thirty-three isolates belonging to P. bergensis, P. conceptionensis, P. corporis, P. histicola, and P. nanciensis, unavailable in the VITEK MS 3.0 database, were resulted in genus level or no identification. Six Prevotella strains, belonged to P. veroralis, P. timonensis, and P. conceptionensis not represented in the MALDI Biotyper system database, were misidentified at the genus level. In conclusion, both VITEK MS and MALDI Biotyper provided reliable and rapid identification. However, the permanent extension of the databases is needed.
KW - anaerobic bacteria
KW - Prevotella
KW - 16S rRNA gene sequencing
KW - mass spectrometry
KW - VITEK MS
KW - MALDI Biotyper
KW - DESORPTION-IONIZATION-TIME
KW - FLIGHT MASS-SPECTROMETRY
KW - TOF MS
KW - ANAEROBIC-BACTERIA
KW - ROUTINE IDENTIFICATION
KW - MULTICENTER EVALUATION
KW - SYSTEM
U2 - 10.1556/030.66.2019.022
DO - 10.1556/030.66.2019.022
M3 - Article
VL - 67
SP - 6
EP - 13
JO - Acta microbiologica et immunologica hungarica
JF - Acta microbiologica et immunologica hungarica
SN - 1217-8950
IS - 1
ER -