Identification of Clostridium species using the VITEK(®) MS.

The genus Clostridium is of high clinical relevance, as some species may cause rapid and even lethal infections. Thus, a timely identification of these anaerobic bacteria is desirable. Conventional identification methods rely on biochemical properties of these organisms, however, establishing these is time-consuming and not always reliable. Alternatively, 16S rRNA gene sequence based diagnostic methods may be used, but they are expensive and not ubiquitously available. This study was designed to assess the possibility to identify Clostridium species employing the matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS). For this purpose, 848 Clostridium strains representing 42 species were analyzed with the VITEK® MS instrument (bioMérieux, Marcy l'Etoile, France), comparing mass spectra derived from these organisms with the spectra provided in the available database. 90.3% of the strains were correctly identified at species level and another 3.6% at genus level. Since the number of Clostridium species included in the database was rather limited (21 altogether), the spectra obtained were also analyzed employing the Shimadzu Pro Series software. Thus, it became possible to create a dendrogram of the species included in this study.

Sanchez Ramos L ，Rodloff AC 《-》

Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia.

The aim of this study was to identify different Clostridium spp. isolated from currency notes from the Ha'il region of Saudi Arabia in September 2014 using MALDI-TOF-MS. Clostridium spp. were identified by Bruker MALDI-TOF-MS and compared with VITEK 2. The confirmation of the presence of different Clostridium spp. was performed by determining the sequence of the 16S ribosomal RNA gene. In this study, 144 Clostridium spp. were isolated. Among these specimens, MALDI-TOF-MS could identify 88.8% (128/144) of the isolates to the species level and 92.3% (133/144) to the genus level, whereas, VITEK 2 identified 77.7% of the (112/144) isolates. The correct identification of the 144 isolates was performed by sequence analysis of the 500bp 16S rRNA gene. The most common Clostridium spp. identified were Clostridium perfringens (67.36%), Clostridium subterminale (14.58%), Clostridium sordellii (9%) and Clostridium sporogenes (9%). The results of this study demonstrate that MALDI-TOF-MS is a rapid, accurate and user friendly technique for the identification of Clostridium spp. Additionally, MALDI-TOF-MS has advantages over VITEK 2 in the identification of fastidious micro-organisms, such as Clostridium spp. Incorporating this technique into routine microbiology would lead to more successful and rapid identification of pathogenic and difficult to identify micro-organisms.

AlMogbel MS 《-》

Comparing the identification of Clostridium spp. by two Matrix-Assisted Laser Desorption Ionization-Time of Flight (MALDI-TOF) mass spectrometry platforms to 16S rRNA PCR sequencing as a reference standard: a detailed analysis of age of culture and sample

We compared the identification of Clostridium species using mass spectrometry by two different Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) platforms (Bruker MS and Vitek MS) against 16S rRNA sequencing as the reference standard. We then examined the impact of different sample preparations and (on one of those platforms) age of bacterial colonial growth on the performance of the MALDI-TOF MS systems. We identified 10 different species amongst the 52 isolates by 16S rRNA sequencing, with Clostridium perfringens the most prevalent (n=30). Spectrometric analysis using Vitek MS correctly speciated 47/52 (90.4%) isolates and was not affected by the sample preparation used. Performance of the Bruker MS was dependent on sample preparation with correct speciation obtained for 36 of 52 (69.2%) isolates tested using the Direct Transfer [DT] protocol, but all 52 (100%) isolates were correctly speciated using either an Extended Direct Transfer [EDT] or a Full Formic Extraction [EX] protocol. We then examined the effect of bacterial colonial growth age on the performance of Bruker MS and found substantial agreement in speciation using DT (Kappa=0.62, 95% CI: 0.46-0.75), almost perfect agreement for EDT (Kappa=0.94, 95% CI: 0.86-1.00) and exact agreement for EX (Kappa=1.00) between different days.

Chean R ，Kotsanas D ，Francis MJ ，Palombo EA ，Jadhav SR ，Awad MM ，Lyras D ，Korman TM ，Jenkin GA ... -  《-》

Evaluation of VITEK mass spectrometry (MS), a matrix-assisted laser desorption ionization time-of-flight MS system for identification of anaerobic bacteria.

Lee W ，Kim M ，Yong D ，Jeong SH ，Lee K ，Chong Y ... -  《-》

[Reliability of MALDI-TOF mass spectrometry in the identification of anaerobic bacteria].

MALDI-TOF mass spectrometry (MS) is becoming a major resource in the Clinical Microbiology laboratory. Results on some groups of microorganisms are still controversial. We have studied the reliability of MALDI-TOF MS for the identification of anaerobic clinical isolates was studied compared to conventional biochemical methods, with rRNA 16S sequencing being used as a reference when discrepancies arose. A total of 126 anaerobic bacteria clinical isolates were studied by using API20A kits (bioMérieux, Marcy l'Étoile, France) and MALDI-TOF MS (Autoflex II, Bruker Daltonics, Germany), and using the data library BioTyper 2.0 (Bruker Daltonics, Germany). When discrepancies arose, or MALDI-TOF MS was not able to identify any microorganism, rRNA 16S sequencing was used as the reference standard. The biochemical method and MALDI-TOF MS agreed in identifying 60.9% of isolates at species level, and 20.3% of isolates at genus level. Among the 48 discrepancies observed, rRNA 16S sequencing supported MALDI-TOF MS identification, at species level, in 32 isolates (66.7%), and in 8 isolates (16.7%) at genus level. rRNA 16S sequencing supported biochemical identification in only two isolates (4.2%) at species level, and in 26 isolates (54.2%) at genus level. The eight isolates for which MALDI-TOF MS did not manage to identify, or the identification obtained was rejected by sequencing, belonged to species that are still not added to the BioTyper II data library. Results obtained in this study show that, overall, MALDI-TOF MS identification of anaerobic bacteria is more reliable than identification obtained by conventional biochemical methods (24% more correct identifications at species level). The number of major errors (incorrect identification at the genus level) is also 2.5-times lower. Moreover, all the major errors obtained by MALDI-TOF MS were due to the absence of some species in the data library. Thus, when data libraries are more complete, reliability differences between both methods will probably be even higher.

Vega-Castaño S ，Ferreira L ，González-Ávila M ，Sánchez-Juanes F ，García-García MI ，García-Sánchez JE ，González-Buitrago JM ，Muñoz-Bellido JL ... -  《-》