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

Comparison of two MALDI-TOF MS systems for the identification of clinically relevant anaerobic bacteria in Argentina

The aim of this study was to compare the performance of two MALDI-TOF MS systems in the identification of clinically relevant strict anaerobic bacteria. The 16S rRNA gene sequencing was the gold standard method when discrepancies or inconsistencies were observed between platforms. A total of 333 isolates were recovered from clinical samples of different centers in Buenos Aires City between 2016 and 2021. The isolates were identified in duplicate using two MALDI-TOF MS systems, BD Bruker Biotyper (Bruker Daltonics, Bremen, Germany) and Vitek MS (bioMèrieux, Marcy-l'Etoile, France). Using the Vitek MS system, the identification of anaerobic isolates yielded the following percentages: 65.5% (n: 218) at the species or species-complex level, 71.2% (n: 237) at the genus level, 29.4% (n: 98) with no identification and 5.1% (n: 17) with misidentification. Using the Bruker Biotyper system, the identification rates were as follows: 85.3% (n: 284) at the species or species-complex level, 89.7% (n: 299) at the genus level, 14.1% (n: 47) with no identification and 0.6% (n: 2) with misidentification. Differences in the performance of both methods were statistically significant (p-values <0.0001). In conclusion, MALDI-TOF MS systems speed up microbial identification and are particularly effective for slow-growing microorganisms, such as anaerobic bacteria, which are difficult to identify by traditional methods. In this study, the Bruker system showed greater accuracy than the Vitek system. In order to be truly effective, it is essential to update the databases of both systems by increasing the number of each main spectrum profile within the platforms.

Comparative evaluation of MALDI-TOF MS and 16S rRNA gene sequencing for the identification of clinically relevant anaerobic bacteria: critical evaluation of discrepant results

OBJECTIVES

The main study objective was to evaluate the correlation between matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and 16S rRNA gene sequencing results for the identification of anaerobes.

METHODS

A retrospective study was conducted of all anaerobic bacteria isolated from clinically significant specimens. MALDI-TOF (Bruker Byotyper) and 16S rRNA gene sequencing were performed in all strains. Identifications were considered correct when the concordance with gene sequencing was ≥99%.

RESULTS

The study included 364 isolates of anaerobic bacteria: 201 (55.2%) Gram-negative and 163 (44.8%) Gram-positive, mostly belonging to the genus Bacteroides. Isolates were largely obtained from blood cultures (128/35.4%) and intra-abdominal samples (116/32.1%). Overall, 87.3% of isolates were identified at species level using the version 9 database (89.5% of Gram-negative and 84.6% of Gram-positive anaerobic bacteria). All isolates belonging to the species B. fragilis sensu stricto were correctly identified by MALDI-TOF MS, but five cases of Phocaeicola (Bacteroides) dorei were misidentified as Phocaeicola (Bacteroides) vulgatus; all Prevotella isolates were correctly identified at the genus level, and most were correctly identified at the species level. Among Gram-positive anaerobes, 12 Anaerococcus species were not identified by MALDI-TOF MS, while six cases identified as Peptoniphilus indolicus were found to belong to other genera/species.

CONCLUSIONS

MALDI-TOF is a reliable technique for identifying most anaerobic bacteria, although the database needs frequent updating to identify rare, infrequent, and newly discovered species.

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.

Development of multiplex PCR panel for detection of anaerobic bacteria in clinical samples

OBJECTIVE

Although anaerobic bacteria are important agents of a wide variety of serious infections, they are overlooked often in the etiology of infection due to difficulties in isolation and detection. The aim of this study was to develop a new multiplex PCR panel that could detect Bacteroides, Fusobacterium, Prevotella, Veillonella, Clostridium, Peptostreptococcus, and Actinomyces bacteria, which are the most frequently isolated from anaerobic infections, at the genus level.

METHOD

Aerobic and anaerobic cultures were performed on 46 clinical specimens, with suspicion of anaerobic infection and were sent to the laboratory. DNA isolation was performed with the same samples and anaerobic bacteria were detected by the multiplex PCR test developed in the study.

RESULT

The analytical sensitivity of the multiplex PCR assay was found to be 1-10³ CFU/ml, depending on the bacterial species. In this study, anaerobic growth was observed in eight (17.4%) of 46 clinical samples. The multiplex PCR test detected 35 anaerobic bacteria from 20 (43.5%) of 46 clinical samples. The most common anaerobes isolated from clinical specimens by the multiplex PCR assay were Prevotella spp. (37.1%) and Fusobacterium spp. (22.9%) while Clostridium spp. (14.3%), Peptostreptococcus spp. (11.4%), Bacteroides spp. (8.6%), and Veillonella spp. (5.7%) followed these genera.

CONCLUSION

As a result, it was concluded that the multiplex PCR panel developed in this study eliminates problems in the detection of anaerobes based on culture, provides more accurate detection of anaerobic bacteria from clinical specimens, takes a shorter time, and allows more accurate infection treatment.

Rapid Antibiotic Susceptibility Testing by Deuterium Labeling of Bacterial Lipids in On-Target Microdroplet Cultures

Antimicrobial resistance is a serious challenge facing human and veterinary health. Current methods of detecting resistance are limited in turn-around time or universal detection. In this work, a new antimicrobial susceptibility test is developed and validated, which utilizes deuterium labeling of membrane lipids to track the growth of bacterial cells. We hypothesize that deuterium uptake and subsequent labeling of lipids can be detected using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). Additionally, bacteria growth is performed on the MALDI target, minimizing sample preparation materials and time. When two Escherichia coli strains are grown in the presence of deuterium oxide, labeling can be detected in as little as 30 min to 2 h. The labeling efficiency, or the ratio of labeled to unlabeled lipid peaks, provides information about the growth rate of bacteria. This growth ratio can differentiate between resistant and susceptible strains of bacteria as a resistant strain will maintain ∼50% labeling efficiency between untreated and treated cultures. In comparison, a susceptible strain will see a decrease in fractional abundance of deuterium from ∼50% in the untreated to ∼10% in the treated. This approach is applied to measure the minimum inhibitory concentration (MIC) of the resistant and susceptible strains from on-target microdroplet culture in a range of antibiotic concentrations. The first antibiotic concentration with a significant decrease in fractional abundance of deuterium correlates well with a traditionally obtained MIC using broth dilution, indicating the clinical relevance of the results.

Identifying Anaerobic Bacteria Using MALDI-TOF Mass Spectrometry: A Four-Year Experience

Because of the special culture requirements of anaerobic bacteria, their low growth-rate and the difficulties to isolate them, MALDI-TOF MS has become a reliable identification tool for these microorganisms due to the little amount of bacteria required and the accuracy of MALDI-TOF MS identifications. In this study, the performance of MALDI-TOF MS for the identification of anaerobic isolates during a 4-year period is described. Biomass from colonies grown on Brucella agar was directly smeared onto the MALDI-TOF target plate and submitted to on-plate protein extraction with 1μl of 100% formic acid. Sequencing analysis of the 16S rRNA gene was used as a reference method for the identification of isolates unreliably or not identified by MALDI-TOF MS. Overall, 95.7% of the isolates were identified to the species level using the updated V6 database vs 93.8% with previous databases lacking some anaerobic species; 68.5% of the total were reliably identified with high-confidence score values (≥2.0) and 95.0% with low-confidence values (score value ≥1.7). Besides, no differences between Gram-positive and Gram-negative isolates were detected beyond a slight decrease of correct species assignment for gram positive cocci (94.1% vs 95.7% globally). MALDI-TOF MS has demonstrated its usefulness for the identification of anaerobes, with high correlation with phenotypic and conventional methods. Over the study period, only 2.1% of the isolates could not be reliably identified and required molecular methods for a final identification. Therefore, MALDI-TOF MS provided reliable identification of anaerobic isolates, allowing clinicians to streamline the most appropriate antibiotic therapy and manage patients accordingly.

Advances in automated techniques to identify Acinetobacter calcoaceticus-Acinetobacter baumannii complex

Acinetobacter species, particularly those within Acinetobacter calcoaceticus-A. baumannii complex (ACB complex), have emerged as clinically relevant pathogens in hospital environments worldwide. Early and quick detection and identification of Acinetobacter infections is challenging, and traditional culture and biochemical methods may not achieve adequate levels of speciation. Moreover, currently available techniques to identify and differentiate closely related Acinetobacter species are insufficient. The objective of this review is to recapitulate the current evolution in phenotypic and automated techniques used to identify the ACB complex. Compared with other automated or semiautomated systems of bacterial identification, matrix-assisted laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF MS) demonstrates a high level of Acinetobacter species identification and discrimination, including newly discovered species A. seifertii and A. dijkshoorniae.

Clostridium ramosum rapidly identified by MALDI-TOF MS. A rare gram-variable agent of bacteraemia

Clostridium ramosum is an enteric anaerobic, endospore-forming, gram-positive rod with a low GC content that is rarely associated with disease in humans. We present a case of C. ramosum bacteraemia. To the best of our knowledge, this is the second case of C. ramosum bacteraemia in an elderly patient presenting with fever, abdominal pain and bilious emesis. We highlight the Gram stain variability, the lack of visualization of spores and the atypical morphology of the colonies that showed C. ramosum in a polymicrobial presentation that initially appeared to show monomicrobial bacteraemia. The microorganism was rapidly identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). We present a comprehensive literature review of 32 cases of clinical infections by C. ramosum in which we describe, if available, sex, age, clinical symptoms, predisposing conditions, other organisms present in the blood culture, other samples with C. ramosum , identification methodology, treatment and outcome.

Comparing identification of clinically relevant Prevotella species by VITEK MS and MALDI biotyper

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.

Performance evaluation of a new matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, ASTA MicroIDSys system, in bacterial identification against clinical isolates of anaerobic bacteria

INTRODUCTION

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been introduced for bacterial identification. The ASTA MicroIDSys system (ASTA, Suwon, Korea) is a new MALDI-TOF MS system developed for species identification of microorganisms. We evaluated the performance of MicroIDSys against clinical isolates of anaerobic bacteria.

MATERIAL AND METHODS

A total of 370 non-duplicated clinical isolates of anaerobic bacteria were tested in this study. Bacterial identification with MicroIDSys was performed with a direct smear method, and measured spectra were analyzed using respective software. The results of MicroIDSys were compared with the results of Bruker Biotyper and 16S rRNA sequencing.

RESULTS

The overall agreement rates for the 370 clinical isolates (34 genera and 99 species) were 95.4% (353/370) at the genus level and 91.6% (n = 340) at the species level. Only 17 isolates were incorrectly identified at the genus level: five misidentifications and 12 unidentifications. The MicroIDSys system exhibited excellent performance in the identification of clinically relevant bacterial species. Most of the Bacteroides isolates (98.0%, 99/101) and all of the Clostridium difficile (100%, n = 11), Clostridium perfringens (100%, n = 10), Finegoldia magna (100%, n = 11), and Parvimonas micra (100%, n = 10) isolates were correctly identified at the species level.

CONCLUSION

The MicroIDSys system proved useful in the identification of anaerobic bacteria, especially clinically relevant species. This system could be of use in clinical microbiology laboratories as a primary tool for identifying anaerobic bacteria.

Application of MALDI-TOF MS to rapid identification of anaerobic bacteria

BACKGROUND

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been rapidly developed and widely used as an analytical technique in clinical laboratories with high accuracy in microorganism identification.

OBJECTIVE

To validate the efficacy of MALDI-TOF MS in identification of clinical pathogenic anaerobes.

METHODS

Twenty-eight studies covering 6685 strains of anaerobic bacteria were included in this meta-analysis. Fixed-effects models based on the P-value and the I-squared were used for meta-analysis to consider the possibility of heterogeneity between studies. Statistical analyses were performed by using STATA 12.0.

RESULTS

The identification accuracy of MALDI-TOF MS was 84% for species (I² = 98.0%, P < 0.1), and 92% for genus (I² = 96.6%, P < 0.1). Thereinto, the identification accuracy of Bacteroides was the highest at 96% with a 95% CI of 95-97%, followed by Lactobacillus spp., Parabacteroides spp., Clostridium spp., Propionibacterium spp., Prevotella spp., Veillonella spp. and Peptostreptococcus spp., and their correct identification rates were all above 90%, while the accuracy of rare anaerobic bacteria was relatively low. Meanwhile, the overall capabilities of two MALDI-TOF MS systems were different. The identification accuracy rate was 90% for VITEK MS vs. 86% for MALDI biotyper system.

CONCLUSIONS

Our research showed that MALDI-TOF-MS was satisfactory in genus identification of clinical pathogenic anaerobic bacteria. However, this method still suffers from different drawbacks in precise identification of rare anaerobe and species levels of common anaerobic bacteria.

Evaluation of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for identifying VIM- and SPM-type metallo-β-lactamase-producing Pseudomonas aeruginosa clinical isolates

Background

Metallo-β-lactamase-producing Pseudomonas aeruginosa (MBL-PA) are important causative agents of nosocomial infections and are associated with significant mortality rates, especially in intensive care units. The timely detection and typing of these strains is essential for surveillance, outbreak prevention and antibiotic therapy optimization. In this study, fifteen VIM-type and fifteen SPM-type MBL-PA strains were selected as strains to establish MALDI-TOF MS SuperSpectra.

Methods

This study was undertaken to evaluate the utility of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) with the VITEK MS plus system in the detection of VIM- and SPM-type MBL-PA isolates. For each species, we increased the reference spectra, and then, a SuperSpectrum was created based on the selection of 39 specific masses. In a second step, we validated the SuperSpectra with the remaining 50 isolates (25 isolates of VIM-type and 25 isolates of SPM-type).

Results

Fifty MBL-PA strains were used as the validation strains, including twenty-five VIM-type and twenty-five SPM-type MBL-PA strains. Complete antimicrobial susceptibility testing and genotypic characterizations were performed for all isolates, which were subsequently identified using the newly created SuperSpectra databases following a previously reported method. The results showed that there was 92% agreement between the MBL profile generated by MALDI-TOF MS and that obtained using gene sequencing analysis methods.

Conclusion

MALDI-TOF MS is a promising, rapid and economical method for detecting VIM- or SPM-type MBL-PA that could be successfully introduced into the routine diagnostic workflow of clinical microbiology laboratories.

Evaluation of VITEK MS, Clin-ToF-II MS, Autof MS 1000 and VITEK 2 ANC card for identification of Bacteroides fragilis group isolates and antimicrobial susceptibilities of these isolates in a Chinese university hospital

BACKGROUND AND PURPOSE

Bacteroides fragilis group isolates are most frequently isolated anaerobic pathogens. This study aimed to evaluate the accuracy of VITEK MS, Clin-ToF-II MS, Autof MS 1000 and VITEK 2 ANC card on the identification of clinical B. fragilis group isolates, as well as to determine their antimicrobial susceptibilities.

METHODS

A total of 138 isolates of B. fragilis group isolates were identified with the three MALDI-TOF MS systems and VITEK 2 ANC cards. 16S rRNA gene sequencing was used as the reference identification method for comparison. Antimicrobial susceptibilities were determined by agar dilution method to 19 antimicrobial agents recommended by Clinical and Laboratory Standards Institute (CLSI).

RESULTS

Hundred thirty three isolates of Bacteroides spp. and 5 isolates of Parabacteroides spp. were identified by 16S rRNA sequencing. The rates of accurate identification at species level of VITEK MS, Clin-ToF-II MS, Autof MS 1000 and VITEK 2 ANC card were 94.2%, 94.2%, 98.6% and 94.9%, respectively, while that at genus level were 99.3%, 100%, 100% and 97.8%, respectively. Metronidazole and chloramphenicol were the most susceptible agents (99.3% and 92.8%, respectively), followed by meropenem, ertapenem, imipenem and piperacillin/tazobactam to which the susceptible rates ranged from 76.8% to 79.0%. The susceptible rates to carbapenems decreased 12.4-15.3% from 2010-2013 to 2014-2017.

CONCLUSION

All the four systems provided high accurate rate on the identification of B. fragilis group isolates. Metronidazole showed highest activity against these isolates. Attention should be paid to the higher resistant rates to carbapenems, clindamycin, moxifloxacin and tigecycline than the other countries.

Identification of Porphyromonas isolates from clinical origin using MALDI-TOF Mass Spectrometry

Despite the wide implementation of MALDI-TOF MS for the rapid and reliable identification of most microorganisms, some taxonomic groups such as the Porphyromonas genus remain largely untested. In this study we evaluated the performance of MALDI-TOF MS on this genus using a collection of 39 isolates sent for routine identification to our institution over a 16-year period. All of them were identified by DNA-sequencing analysis of the 16S rRNA gene plus the hsp60 gene when the previous one did not yield species-level assignment. MALDI-TOF MS provided correct identification at least at the genus level of 21/39 isolates (53.9%). Twelve isolates were correctly identified at the species level with a score value ≥ 2.0 and 9 more with score values < 2.0 and ≥ 1.7. The species most represented in the database (P. gingivalis and P. somerae) lay within this category. However, the species poorly represented in this database (P. asaccharolytica and P. uenonis) were mostly identified with lower scores (1.35-1.67) or remained unidentified by MALDI-TOF MS. The addition of two P. asaccharolytica reference spectra to our in-house library allowed 72.9% of genus-level identifications with 17/37 isolates (45.9%) identified with score values ≥ 2.0. Our results showed a high level of correlation between MALDI-TOF MS and DNA-based identification for Porphyromonas spp. strains at the species level, even with score values < 2.0. The reliability provided by MALDI-TOF MS increased when the database was fed with spectra from the species poorly represented in the commercial database.

Influence of Oral Anaerobic Bacteria on Hematopoietic Stem Cell Transplantation Patients: Oral Mucositis and General Condition

OBJECTIVE

Oral mucositis (OM) caused by infection facilitated by myelosuppression and immunosuppression can be controlled through oral care. We investigated changes in oral anaerobic bacterial flora during the onset of OM with hematopoietic stem cell transplantation (HSCT).

METHODS

This study included 19 patients who underwent HSCT. All received professional oral care before initiating the preparative regimen. We assessed OM, oral health and obtained microbial samples from the oral cavity during 5 assessment points: before initiating the preparative regimen; the day before HSCT (day 1); and at 7, 14, and 30 days after HSCT. Microbial species were identified by using a mass spectrometer.

RESULTS

The number of patients with serious OM increased initially after HSCT and decreased thereafter. Many Streptococcus species were identified before HSCT, but these gradually decreased and were replaced by coagulase-negative staphylococci. An increase in Candida species after HSCT and the identification of Enterococcus species were significantly associated with OM. Nutritional status recovery and prognosis were significantly worse in patients who developed OM.

CONCLUSIONS

To the best of our knowledge, this study is the first which shows that anaerobic bacteria were identified in patients' oral flora before and after HSCT by using a mass spectrometer. These results indicate that Enterococcus species and Candida species may have been associated with OM. OM affected the patients' improvement in nutritional status and their prognosis. We concluded that it is important to provide more complete oral care instructions and interventions to prevent these bacterial infections.

Performance of mass spectrometric identification of clinical Prevotella species using the VITEK MS system: A prospective multi-center study

Prevotella species, members of the human microbiota, can cause opportunistic infections. Rapid and accurate identification of Prevotella isolates plays a critical role in successful treatment, especially since the antibiotic susceptibility profile differs between species. Studies, mostly carried out using the Matrix Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) Biotyper system, showed that MALDI-TOF MS is an accurate, rapid and satisfactory method for the identification of clinically important anaerobes. In this multi-center study, we assessed the performance of the MALDI-TOF MS VITEK MS system for the identification of clinical Prevotella isolates. A total of 508 Prevotella isolates, representing 19 different species, collected from 11 European countries, Kuwait and Turkey between January 2014 and April 2016, were identified using VITEK MS (v3.0). The reliability of the identification was assessed by 16S rRNA gene sequencing. Using VITEK MS, 422 (83.1%) of the 508 isolates were identified on the species level, 459 (90.4%) on the genus level. A total of 49 (9.6%) isolates were not identified correctly. 16S rRNA gene sequencing results showed that this was partly due to the fact that several species were not represented in the database. However, some species that were represented in the database were also not identified. Five Prevotella strains were misidentified at the genus level, 2 of these strains belonged to a species not represented in the database. In general, the VITEK MS offers a reliable and rapid identification of Prevotella species, however the databases needs to be expanded.

Matrix-assisted laser desorption ionization time-of-flight mass spectrometry: a powerful tool for identification of Corynebacterium species

Background

Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a powerful tool that has initiated a revolution in the clinical microbiology laboratory for identification of nosocomial pathogens. The efficacy of MALDI-TOF MS produced by bioMerieux, Marcy l'Etoile, France (VITEK MS) for detecting Corynebacterium remains unknown.

Methods

Corynebacterium isolates were isolated from clinical specimen in a tertial teaching hospital from 2012 to 2013. All strains confirmed by rpoB sequencing were identified by API Coryne (bioMerieux), Phoenix (BD) and VITEK MS, respectively. The coincidence rate was used to evaluate the consistency and accuracy across three methods.

Results

In all, 75 Corynebacterium isolates were collected in this study. The dominant isolates were Corynebacterium striatum (58.7%), Corynebacterium jeikeium (16.0%), Corynebacterium amycolatum (5.3%), Corynebacterium urealyticum (5.3%), Corynebacterium glucuronolyticum (2.7%) and Corynebacterium minutissimum (2.7%). We found that there was no significant difference in the identification of corynebacterium to genus level by MS (100%, 75/75) or Phoenix (93.3%, 70/75) (P=0.058). However, 92.0% (69/75) strains were successfully identified to species by MS while which by Phoenix and API was 78.7% and 65.3% respectively. Compared with gene sequencing, the coincidence rate of identification by MS was significantly higher than Phoenix (P=0.036) and API (P<0.001). Compared with API Coryne (bioMerieux) and Phoenix, VITEK MS shown significant shorter detecting period and less cost.

Conclusions

VITEK MS was a powerful tool, which could be applied in clinical laboratory, improving the diagnosis for Corynebacterium infection.

Use of MALDI-TOF mass spectrometry in the battle against bacterial infectious diseases: recent achievements and future perspectives

INTRODUCTION

Advancements in microbial identification occur increasingly faster as more laboratories explore, refine and extend the use of mass spectrometry in the field of microbiology. Areas covered: This review covers the latest knowledge found in the literature for quick identification of various classes of bacterial pathogens known to cause human infection by the use of MALDI-TOF MS technology. Except for identification of bacterial strains, more researchers try to 'battle time' in favor of the patient. These novel approaches to identify bacteria directly from clinical samples and even determine antibiotic resistance are extensively revised and discussed. Expert commentary: Mass spectrometry is the future of bacterial identification and creates a new era in modern microbiology. Its incorporation in routine practice seems to be not too far, providing a valuable alternative, especially in terms of time, to conventional techniques. If the technology further advances, quick bacterial identification and probable identification of common antibiotic resistance might guide patient decision-making regarding bacterial infectious diseases in the near future.

Evaluation of MALDI-TOF MS (Matrix-Assisted Laser Desorption-Ionization Time-of-Flight Mass Spectrometry) for routine identification of anaerobic bacteria

Information regarding the use of MALDI-TOF MS as an alternative to conventional laboratory methods for the rapid and reliable identification of bacterial isolates is still limited. In this study, MALDI-TOF MS was evaluated on 295 anaerobic isolates previously identified by 16S rRNA gene sequencing and with biochemical tests (Rapid ID 32A system, BioMérieux). In total, 85.8% of the isolates were identified by MALDI-TOF MS at the species level vs 49.8% using the Rapid ID 32A system (p < 0.0001). None of the isolates was discordantly identified at the genus level using MALDI-TOF MS and only 9 of them could not be identified using the method. Thus, our results show that MALDI-TOF MS is a robust and reliable tool for the identification of anaerobic isolates in the microbiology laboratory. Its implementation will reduce the turnaround time for a final identification and the number of isolates that require 16S rRNA sequencing.

MALDI-TOF MS is more accurate than VITEK II ANC card and API Rapid ID 32 A system for the identification of Clostridium species

All 50 Clostridium difficile strains were definitely identified by Vitek2 system, Rapid ID 32A system, and MALDI-TOF. For 18 non-difficile Clostridium strains, the identification results were correct in 2, 0, and 17 strains by Vitek2, Rapid ID 32A, and MALDI-TOF, respectively [corrected].

Microbiological diagnosis of Eggerthella lenta blood culture isolates in a Swedish tertiary hospital: Rapid identification and antimicrobial susceptibility profile

Eggerthella lenta is a Gram-positive anaerobic bacillus. Improved diagnostics and increased awareness of rare pathogens have revealed its potential to cause serious invasive infections. In this study, 18 clinical E. lenta isolates derived from positive blood cultures were included. Underlying problems of the patients were in the majority of cases related to the gastrointestinal tract. The performance of two MALDI-TOF MS systems, i.e. Bruker and Vitek MS, in identification of E. lenta was analyzed. In addition, the minimal inhibitory concentrations for clinically relevant antimicrobial agents were determined by routine procedures using E-test. 17 of the 18 E. lenta isolates investigated in this study were correctly identified to species level by the Bruker MS system, while the Vitek MS system identified all 18 isolates. Antimicrobial sensitivity towards the tested agents was in general good. However, high resistance rates were observed for penicillin G and piperacillin-tazobactam based on EUCAST breakpoints.