Performance of common primary and chromogenic culture media for MALDI-TOF MS identification of clinically relevant yeasts.

Timely and accurate identification of yeasts is essential for adequate treatment, considering the increase in antifungal resistance of some species, particularly for C. auris. Current matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) manufacturer's protocol for identification of yeasts requires 24- to 72-h cultivation on Sabouraud dextrose media (SAB), but not some of the mainstay primary culture media used in mycology such as inhibitory mold agar (IMA), Mycosel, CHROMagar Candida Plus, and CHROMagar Candida. As culture media can influence MALDI-TOF MS identification results, this study evaluated the accuracy and performance of identification of clinically relevant yeasts on these first-line media using the VITEK-MS MALDI-TOF MS system.IMPORTANCEIn this study, a panel of 140 strains (21 species) was used to assess the performance of the selected media. Although not in the manufacturer's list of accepted media, IMA and chromogenic media are suitable for the identification of yeasts on the VITEK-MS systems. CHROMagar Candida Plus allowed the identification of 135/140 isolates tested after 24-h incubation similar to SAB reference media (137/140). Yeast isolates that grew on Mycosel selective media were also reliably identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. VITEK-MS system with IVD database V3.2 correctly identified C. auris strains to the species level on CHROMagar Candida Plus alleviating the need for subcultivation and reduced turnaround time (24-72 h) to identification for patient screening.

Evaluation of VITEK MS Version 3.0 MALDI-TOF for the identification of anaerobes, mycobacteria, Nocardia, and moulds.

PURPOSE: The identification of anaerobes, Mycobacterium and Nocardia species, and moulds by MALDI-TOF-MS remains a challenge. This study aimed to evaluate the performance of MALDI-TOF in the identification of these organisms. METHODS: A total of 382 strains, comprising 128 (33.5 %) anaerobes, 126(33.0 %) mycobacterial, 113(29.6 %), mycelial fungi, and 15(3.9 %) Nocardia species were evaluated by VITEK MS Version 3.0. The results were compared with the identification of the isolates by DNA sequence analysis. The DNA sequences used for analysis were the 16S rRNA for anaerobic bacteria, hsp65 gene for mycobacteria, whereas both 16S rRNA and hsp65 gene for Nocardia species, and internal transcribed spacer (ITS) and 28S rRNA gene's D1/D2 regions of fungi. RESULTS: The VITEK-MS accurately identified 78.3 % (299/382) of the strains at the species, and 9.4 % (36/382) at the genus level. Misidentifications were observed in 3.9 % (15/382) isolates. Of isolates tested, 8.4 % (32/382) were not identified by the system, and 7.06 % (27/382) were not included in the IVD database. CONCLUSION: An upgraded VITEK MS V3.0 database provides reasonably accurate and rapid identification of clinically relevant anaerobes, mycobacteria, Nocardia species, and moulds to the species level.

Use of Matrix-Assisted and Laser Desorption/Ionization Time-of-Flight Technology in the Identification of Aeromonas Strains Isolated from Retail Sushi and Sashimi.

The genus Aeromonas includes well-known pathogenic species for fishes and humans that are widely distributed in the aquatic environment and foods. Nowadays, one of the main issues related to wild Aeromonas isolates is their identification at the species level, which is challenging using classical microbiological and biomolecular methods. This study aims to test MALDI-TOF MS technology in the identification of Aeromonas strains isolated from n. 60 retail sushi and sashimi boxes using an implemented version of the SARAMIS software V4.12. A total of 43 certified Aeromonas strains were used to implement the SARAMIS database by importing the spectra obtained from their identification. The original SARAMIS version (V4.12) failed to recognize 62.79% of the certified strains, while the herein-implemented version (V4.12plus) allowed the identification of all the certified strains at least to the genus level with a match of no less than 85%. Regarding the sushi and sashimi samples, Aeromonas spp. was detected in n. 18 (30%) boxes. A total of 127 colonies were identified at the species level, with A. salmonicida detected as the most prevalent species, followed by A. bestiarum and A. caviae. Based on the results of the present study, we could speculate that MALDI-TOF technology could be a useful tool both for the food industry to monitor product contamination and for clinical purposes to make diagnoses effectively and quickly.

Spontaneous resolution or antibiotic effectiveness? Reflection on a case of pediatric urinary tract infections caused by Enterococcus raffinosus.

Enterococcus raffinosus, named by Collins et al. in 1989, is a cocci-shaped bacterium that typically appears in pairs or short chains. As a Gram-positive and non-motile bacterium, it grows at 10°C-45°C, exhibiting negative peroxidase activity [1]. It is a normal flora in the oropharynx and gastrointestinal tract of domestic cats [2] and can also be isolated from human rectal swabs [3], it belongs to the same genus Enterococcus as Enterococcus faecalis and Enterococcus faecium. Enterococcus faecalis and Enterococcus faecium constitute 90% of clinically isolated strains. However, the incidence of other enterococci, excluding E. faecalis and E. faecium, is on the rise [4]. In this case report, a patient with pediatric urinary tract infections caused by E. raffinosus was presented, and a summary of relevant literature was provided.

Clinical Evaluation of VITEK MS PRIME with PICKME Pen for Bacteria and Yeasts, and RUO Database for Filamentous Fungi.

The VITEK MS PRIME (bioMérieux, Marcy-l'Étoile, France), a newly developed matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) system, alongside the VITEK PICKME pen (PICKME), offers easy sample preparation for bacteria and yeasts. The VITEK MS PRIME also offers two software platforms for filamentous fungi: the IVD database and the RUO database. Our study evaluated its identification agreement on 320 clinical isolates of bacteria and yeasts, comparing PICKME and traditional wooden toothpick sampling techniques against MicroIDSys Elite (ASTA) results. Additionally, we assessed the IVD (v3.2) and SARAMIS (v4.16) RUO databases on 289 filamentous fungi against molecular sequencing. The concordance rates for species-level identification of bacteria and yeasts were about 89.4% (286/320) between the PICKME and wooden toothpick, and about 83.4-85.3% between the VITEK MS PRIME and ASTA MicroIDSys Elite. Retesting with PICKME improved concordance to 91.9%. For filamentous fungi, species-level identification reached 71.3% with the IVD database and 85.8% with RUO, which significantly enhanced basidiomycetes' identification from 35.3% to 100%. Some strains in the IVD database, like Aspergillus versicolor, Exophiala xenobiotica, and Nannizzia gypsea, failed to be identified. The VITEK MS PRIME with PICKME offers reliable and efficient microorganism identification. For filamentous fungi, combined use of the RUO database can be beneficial, especially for basidiomycetes.

A Rare Case of Periprosthetic Joint Infection with Streptococcus dysgalactiae subspecies dysgalactiae.

Periprosthetic joint infection (PJI) is a rare but most vital complication after joint arthroplasty and requires a revision surgery. Synovial fluid analysis is essential in diagnosis of the PJI, and conventional and molecular microbiologic investigations may help in determining the cause of the infection. With this unusual case, we aimed to present the second instance in the literature of PJI of the knee caused by Streptococcus dysgalactiae subspecies dysgalactiae (SDSD). S. dysgalactiae PJI in the literature are commonly Streptococcus dysgalactiae subspecies equisimilis (SDSE), and SDSD mostly infects animals. A farmer with comorbid illnesses who works with cattle and sheep experienced periprosthetic knee joint infection caused by SDSD. Surgical excisional debridement with open washing, decompression, and liner exchange were performed. The identification of the bacteria was done with VITEK MS as SDSD. After 1-year follow-up, the patient has fully recovered without recurrence.

Comparative genomics of four lactic acid bacteria identified with Vitek MS (MALDI-TOF) and whole-genome sequencing.

Lactic acid bacteria (LAB) can be used as a probiotic or starter culture in dairy, meat, and vegetable fermentation. Therefore, their isolation and identification are essential. Recent advances in omics technologies and high-throughput sequencing have made the identification and characterization of bacteria. This study firstly aimed to demonstrate the sensitivity of the Vitek MS (MALDI-TOF) system in the identification of lactic acid bacteria and, secondly, to characterize bacteria using various bioinformatics approaches. Probiotic potency-related genes and secondary metabolite biosynthesis gene clusters were examined. The Vitek MS (MALDI-TOF) system was able to identify all of the bacteria at the genus level. According to whole genome sequencing, the bacteria were confirmed to be Lentilactobacillus buchneri, Levilactobacillus brevis, Lactiplantibacillus plantarum, Levilactobacillus namurensis. Bacteria had most of the probiotic potency-related genes, and different toxin-antitoxin systems such as PemIK/MazEF, Hig A/B, YdcE/YdcD, YefM/YoeB. Also, some of the secondary metabolite biosynthesis gene clusters, some toxic metabolite-related genes, and antibiotic resistance-related genes were detected. In addition, Lentilactobacillus buchneri Egmn17 had a type II-A CRISPR/Cas system. Lactiplantibacillus plantarum Gmze16 had a bacteriocin, plantaricin E/F.

A side-by-side comparison of the new VITEK MS PRIME and the MALDI Biotyper sirius in the clinical microbiology laboratory.

PURPOSE: This study aims to evaluate the performance of two latest generation matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) systems in routine laboratory settings, focusing on turnaround time (TAT), time to results (TTR), hands-on time, and identification rate. METHODS: We conducted a time and motion study on three workflow scenarios to simulate different laboratory settings. Overall, 618 bacterial isolates from a tertiary hospital's laboratory were processed using the VITEK MS PRIME (bioMérieux) and the MALDI Biotyper sirius (Bruker Daltonics) and their corresponding databases VITEK IVD Database 3.2 and MBT reference library 12. RESULTS: The target preparation process showed no significant difference in TAT, but the Biotyper workflow had a shorter hands-on time by 3 to 6 min. In the measurement process, TTR was three to five times shorter for the Biotyper sirius while hands-on time was significantly shorter for VITEK MS PRIME (approximately 1.5 min per target). The identification rate without retesting was 97.9% for VITEK MS PRIME and 98.9% for Biotyper sirius. Both systems achieved 100% agreement at genus and 96.2% at species level. CONCLUSION: Both systems exhibited excellent identification rates for routine bacterial isolates. Due to its high speed, the Biotyper sirius is suited for laboratories with high sample throughput and a workflow designed for processing larger batches. The VITEK MS PRIME, with its "load and go" system accommodating up to 16 targets, reduces hands-on time, making it a reasonable choice for laboratories with fewer identifications overall but a higher number of targets and a workflow designed for parallel processing on different workstations.

A head-to-head comparison of three MALDI-TOF mass spectrometry systems with 16S rRNA gene sequencing.

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized diagnostics in culture-based microbiology. Commonly used MALDI-TOF MS systems in clinical microbiology laboratories are MALDI Biotyper (Bruker Daltonics) and Vitek MS (bioMérieux), but recently the new EXS2600 (Zybio) has been launched. This study aimed to evaluate the performance of the three devices by comparing the results to 16S rRNA gene sequencing. A set of 356 previously collected difficult-to-identify bacteria was tested in parallel with the three systems. Only the direct smear method and simple formic acid extraction were applied. Valid results were achieved for 98.6%, 94.4%, and 93.3% of all isolates by MALDI Biotyper, EXS2600, and Vitek MS, respectively. Of all valid results, agreement with sequencing data was achieved in 98.9%, 98.5%, and 99.7% by MALDI Biotyper, EXS2600, and Vitek MS, respectively. Considering only the isolates with valid measurements at the single-species level, misidentification rates were 0%, 2.6%, and 1.1% for MALDI Biotyper, EXS2600, and Vitek MS, respectively. Apart from minor performance differences, our data demonstrate that the three systems provide comparable results and are suitable for use in medical diagnostic laboratories.

Rapid, Easy, and Reliable Identification of Nocardia sp. by MALDI-TOF Mass Spectrometry, VITEK®-MS IVD V3.2 Database, Using Direct Deposit.

The reference methods for Nocardia identification are based on gene sequencing. These methods are time-consuming and not accessible for all laboratories. Conversely, matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry is easy to use and widely available in clinical laboratories, but for Nocardia identification, the VITEK®-MS manufacturer recommends a tedious step of colony preparation that is difficult to integrate into a laboratory workflow. This study aimed to evaluate Nocardia identification by MALDI-TOF VITEK®-MS using direct deposit with the VITEK®-PICKMETM pen and a formic acid-based protein extraction directly onto the bacterial smear on a 134 isolates collection; this identification was compared to the results from molecular reference methods. For 81.3% of the isolates, VITEK®-MS delivered an interpretable result. The overall agreement with the reference method was 78.4%. Taking only the species included in the VITEK®-MS in vitro diagnostic V3.2 database into account, the overall agreement was significantly higher, 93.7%. VITEK®-MS rarely misidentified isolates (4/134, 3%). Among the 25 isolates that produced no result with the VITEK®-MS, 18 were expected, as Nocardia species were not included in the VITEK®-MS V3.2 database. A rapid and reliable Nocardia identification using direct deposit by VITEK®-MS is possible by combining the use of the VITEK®-PICKMETM pen and a formic acid-based protein extractiondirectly onto the bacterial smear.

Comparison of MALDI-TOF mass spectrometry and rpoB gene sequencing for the identification of clinical isolates of Aeromonas spp.

Aeromonas spp., widely present in rivers and soil, cause mild gastroenteritis, severe septicemia, and soft tissue infections in humans. Treatment of these infections require accurate identification of pathogenic Aeromonas spp. However, identification at the species level using conventional methods is highly challenging. In this study, we aimed to compare the accuracy of two different approaches developed for bacterial identification: (i) housekeeping gene sequencing (rpoB) in conjunction with phylogenetic analysis and (ii) matrix-assisted laser desorption ionization mass spectrometry-time of flight (MALDI-TOF MS) (MALDI Biotyper and VITEK MS), for differentiating Aeromonas spp. We analyzed 58 Aeromonas isolates recovered from patients at different medical institutions in Japan using both identification methods. The rpoB sequencing method was the most accurate, identifying all Aeromonas isolates at the species level. Meanwhile, the MALDI Biotyper system correctly identified 53 (91.4%) isolates at the genus level and an additional 30 (51.7%) at the species level. The VITEK MS system correctly identified 58 (100%) isolates at the genus level and an additional 34 (58.6%) at the species level. Thus, MALDI Biotyper and VITEK MS accurately identified isolates at the genus level, but differences were found in the accuracy of identification of species. However, the low cost and ease of analysis make MALDI-TOF MS-based methods strong candidates for use in clinical laboratories that require easy-to-use identification methods.

Performance of MALDI-TOF Mass Spectrometry (VITEK MS) in the Identification of Salmonella Species.

Salmonella is a major pathogen causing foodborne infections in humans. Salmonella isolates are identified using biochemical and serological tests, including automated systems such as the VITEK2 system. However, there are few reports on Salmonella identification using VITEK MS. Therefore, we aimed to evaluate the usefulness of MALDI-TOF VITEK MS for Salmonella identification. A total of 1389 Salmonella isolates were identified using VITEK MS ver3.0 or ver3.2. All Salmonella isolates were confirmed by serotyping using the Kauffmann-White scheme, and the results were compared with the VITEK MS results. A total of 1389 Salmonella isolates, including 66 serotypes, were correctly identified at the genus level by VITEK MS. However, these systems failed to correctly identify typhoidal Salmonella. Among the five Salmonella enterica ssp. diarizonae isolates, only one was correctly identified, whereas one and three isolates were partially identified and misidentified, respectively. On the other hand, the VITEK2 system successfully identified all typhoidal Salmonella (Typhi and Paratyphi A) and Salmonella enterica ssp. diarizonae isolates. VITEK MS was useful for identifying Salmonella species isolated from clinical specimens; however, additional biochemical tests, such as the VITEK2 System, should be considered to accurately identify Salmonella ser. Typhi, and Salmonella ser. Paratyphi A.

Performance Evaluation of Bruker Biotyper, ASTA MicroIDSys, and VITEK-MS and Three Extraction Methods for Filamentous Fungal Identification in Clinical Laboratories.

Filamentous fungi are a major cause of life-threatening infections in immunocompromised patients; thus, rapid and accurate identification is critical. Filamentous fungal identification by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been demonstrated with high sensitivity and reproducibility; however, its wider application has been limited in clinical laboratories because of practical challenges such as database availability or lack of standardization. In this study, we compared the performance of the Bruker Biotyper, ASTA MicroIDSys, and Vitek MS for 84 clinical filamentous fungal isolates. Moreover, the sensitivity of three independent sample preparation methods (direct, on plate, in tube) was compared. Bruker Biotyper identified 71.43% (60/84) of isolates correctly (species, genus, or complex/group level). ASTA MicroIDSys and Vitek MS showed accuracy rates of 70.24% (59/84) and 55.95% (47/84), respectively. We found that any difference in sensitivity may be attributed to the database of the systems. In addition, the "in tube" method showed the highest sensitivity among the three methods; however, there was no statistical difference among them. For the broader application of MALDI-TOF MS for filamentous fungal identification, further studies from multiple perspectives are required.

Multi-year comparison of VITEK® MS and 16S rRNA gene sequencing performance for the identification of rarely encountered anaerobes causing invasive human infections in a large Canadian region: can our laboratory abandon 16S rRNA gene sequencing?

BACKGROUND: Our large regional laboratory routinely provides a definitive identification (ID) for 800-1,200 anaerobic bacteria per annum that cause invasive human infections. An increasing number of isolates (i.e., 10 to 13%) recovered from clinical specimens from these cases were more unusual or rarely isolated genera and/or species (i.e., ≤5 individual cases/annum). METHODS: VITEK® MS (MALDI-TOF MS) is done initially on all anaerobic bacteria, but rare isolates undergo in-house PCR/sequencing when proteomics provides a wrong ID or no results despite repeat testing. A clinical microbiologist in consultation with the Infectious Diseases service approves molecular analyses. This multi-year comparison (2014-19) of the performance of MALDI-TOF MS and 16S rRNA gene sequencing using the IDNS® SmartGene bacterial dataset shows both method's abilities to provide a genus-level and/or species-level ID for rare isolates. RESULTS: 489 rare anaerobes were recovered from a variety of clinical specimens: 57% blood cultures, 19% other sterile fluids, 14% sterile tissues, 8% deep wounds/abscesses, and 2% prosthetic implants. 16S rRNA gene sequencing gave an accurate genus-vs. species level ID for 487/489 (99.6%) and 401/489 (82.0%) of isolates respectively. Accurate genus-vs species-level ID were obtained by MALDI-TOF MS for 269/489 (53.4%) and 187/489 (37.3%) of isolates respectively. MALDI-TOF MS gave wrong or no results for 35.1% of Gram-negative anaerobic cocci (GNAC), 62% of Gram-negative anaerobic bacilli (GNAB), 30.8% of Gram-positive anaerobic cocci (GPAC) and 46.3% of Gram-positive anaerobic bacilli (GPAB). Neither method gave an ID for one GNAB and one GPAC isolate. MALDI-TOF MS genus-level ID of GNAC and genus/species-level ID of GPAB improved during the study but its performance remained stable for genus- or species-level ID of other organism groups. CONCLUSIONS: MALDI-TOF MS provides accurate ID for most common anaerobes, but molecular analyses need to be available for rare isolates. Large complex laboratories should have a workflow for sending rare isolates for 16S rRNA gene sequencing in invasive cases where a definitive ID is clinically required.

A side-by-side comparison of the performance and time-and-motion data of VITEK MS.

Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry systems are designed for rapid and reliable microbial identification. VITEK MS PRIME is the bioMérieux's new generation instrument equipped with a continuous load-and-go sample loading system, urgent slide prioritization for critical patient samples and new internal components for faster identification. The aim of this study was to assess the performance of VITEK MS PRIME and to compare it to that of the VITEK MS system. In addition, at two sites, we performed a time-and-motion study to evaluate the efficiency of sample analysis from colony picking to slide removal from the instrument. We analyzed by VITEK MS and VITEK MS PRIME a total of 1413 isolates (1320 bacterial and 76 yeast) deriving from routine diagnostic samples that came into four laboratories in Canada, France, Italy, and Spain. VITEK MS PRIME and VITEK MS were concordant to the species and genus level for 1354/1413 (95.8%) and to the species level for 1341/1413 (94.9%). The identification and concordance rates in individual centers were largely homogenous. Overall, VITEK MS PRIME identified 1370/1413 (97.0%) of isolates compared to 1367/1413 (96.7%) identified by VITEK MS. Identification rates were consistently high for all microorganism categories. A time-and-motion study showed that the use of VITEK MS PRIME was associated with significant time saving. VITEK MS PRIME performs as well as VITEK MS and reduces the time necessary for pathogen identification. To fully optimize the laboratory process and obtain maximum efficiency, VITEK MS PRIME must be integrated into the laboratory workflow.

Cutaneous Brucellosis unmasked as Aureimonas altamirensis in a wound culture.

Aureimonas altamirensis was isolated from a wound culture and initially misidentified as Brucella melitensis by the VITEK® 2 system. The VITEK-MS did not provide identification whereas the Bruker MALDI-ToF MS system and 16-S sequencing revealed a clear identification, which highlights the importance of inclusion of species in databases for accurate and fast identification of bacteria.

Evaluation of formic acid sandwich (FA-sandwich): A pretreatment method for filamentous fungi, for the identification of clinically relevant filamentous fungi by two MALDI-TOF MS systems.

Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been successfully applied to identify microorganisms. However, unlike bacteria and yeast where identification results can be obtained rapidly and accurately by using a simple direct-coating pretreatment method, the traditional pretreatment methods for filamentous fungi are more complex, involving ethanol, formic acid, acetonitrile, and a protein extraction process by centrifugation, i.e., the EtOH-FA full extraction. This cumbersome pretreatment for filamentous fungi is a major reason for the lack of widespread use of MALDI-TOF MS for the identification of filamentous fungi in clinical settings. The present study describes an alternative method, the FA-sandwich, and demonstrates that the approach is efficient and effective. 148 clinical filamentous fungal isolates collected from three large general hospitals in Hubei Province, China, were processed by the FA-sandwich method and identified by two MALDI-TOF MS platforms, Autof ms and Vitek MS. The FA-sandwich allowed a 93.9% species-level identification with Autof ms, and 97.3% species-level identification rates were found for Vitek MS when the IVD, the RUO and in-house databases are used in combination. Further comparison of the ease of FA-sandwich with the EtOH-FA full extraction showed that the FA-sandwich is a more convenient, time- and reagent-saving, and sensitive pretreatment method. These findings indicate that the FA-sandwich method is suitable for pretreating filamentous fungi followed by MALDI-TOF MS identification in clinical microbiology laboratories. LAY SUMMARY: The FA-sandwich method improves the efficiency of identification of filamentous fungi using MALDI-TOF MS while ensuring identification accuracy. The method is easy to perform and very suitable for detecting mold in the microbiology laboratory with the goal of promoting timely and accurate therapies.

Methodology Establishment and Application of VITEK Mass Spectrometry to Detect Carbapenemase-Producing Klebsiella pneumoniae.

The ability of VITEK mass spectrometry (MS) in detection of bacterial resistance is currently under exploration and evaluation. In this study, we developed and validated a VITEK MS method to rapidly test carbapenemase-producing Klebsiella pneumoniae (CPKP). Solvents, antibiotic concentrations, crystal conditions and times, centrifugation speeds, and other factors were optimized to design a rapid sample pretreatment process for CPKP detection by VITEK MS. The related parameters of the mass spectrum were adjusted on the instrument to establish an CPKP detection mode. 133 clinically isolated strains of CPKP in the microbiology laboratory at the Shenzhen People's Hospital from 2004 to 2017 were selected for accuracy evaluation. The fresh suspected strains from the microbiology laboratory in 2020 were used to complete the clinical verification. Two antibiotics, meropenem (MEM) and imipenem (IPM), were used as substrates. These two substrates were incubated with suspected CPKP, and the results were obtained by VITEK MS detection. Using this method, different types of CPKP showed different detection results and all the CPKP strains producing KPC-2 and IMP-4 carbapenemase were detected by VITEK MS. Thus, VITEK MS can be used for rapid detection of CPKP, especially for some common types of CPKP. This method provides high accuracy and speed of detection. Combined with its cost advantages, it can be intensely valuable in clinical microbiology laboratories after the standard operating procedures are determined.

A multi-country study using MALDI-TOF mass spectrometry for rapid identification of Burkholderia pseudomallei.

BACKGROUND: Burkholderia pseudomallei is the bacterial causative agent of melioidosis, a difficult disease to diagnose clinically with high mortality if not appropriately treated. Definitive diagnosis requires isolation and identification of the organism. With the increased adoption of MALDI-TOF MS for the identification of bacteria, we established a method for rapid identification of B. pseudomallei using the Vitek MS, a system that does not currently have B. pseudomallei in its in-vitro diagnostic database. RESULTS: A routine direct spotting method was employed to create spectra and SuperSpectra. An initial B. pseudomallei SuperSpectrum was created at Shoklo Malaria Research Unit (SMRU) from 17 reference isolates (46 spectra). When tested, this initial SMRU SuperSpectrum was able to identify 98.2 % (54/55) of Asian isolates, but just 46.7 % (35/75) of Australian isolates. Using spectra (430) from different reference and clinical isolates, two additional SMRU SuperSpectra were created. Using the combination of all SMRU SuperSpectra with seven existing SuperSpectra from Townsville, Australia 119 (100 %) Asian isolates and 31 (100 %) Australian isolates were correctly identified. In addition, no misidentifications were obtained when using these 11 SuperSpectra when tested with 34 isolates of other bacteria including the closely related species Burkholderia thailandensis and Burkholderia cepacia. CONCLUSIONS: This study has established a method for identification of B. pseudomallei using Vitek MS, and highlights the impact of geographical differences between strains for identification using this technique.

Multicenter evaluation of the VITEK MS matrix-assisted laser desorption/ionization-time of flight mass spectrometry system for identification of bacteria, including Brucella, and yeasts.

The use of matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry has proven to be rapid and accurate for the majority of clinical isolates. Some gaps remain concerning rare, emerging, or highly pathogenic species, showing the need to continuously expand the databases. In this multicenter study, we evaluated the accuracy of the VITEK MS v3.2 database in identifying 1172 unique isolates compared to identification by DNA sequence analysis. A total of 93.6% of the isolates were identified to species or group/complex level. A remaining 5.2% of the isolates were identified to the genus level. Forty tests gave a result of no identification (0.9%) and 12 tests (0.3%) gave a discordant identification compared to the reference identification. VITEK MS is also the first MALDI-TOF MS system that is able to delineate the four members of the Acinetobacter baumannii complex at species level without any specific protocol or special analysis method. These findings demonstrate that the VITEK MS v3.2 database is highly accurate for the identification of bacteria and fungi encountered in the clinical laboratory as well as emerging species like Candida auris and the highly pathogenic Brucella species.