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Rodríguez‐Temporal D, Zvezdánova ME, Benedí P, Marín M, Blázquez‐Sánchez M, Ruiz‐Serrano MJ, Muñoz P, Rodríguez‐Sánchez B. Identification of Nocardia and non-tuberculous Mycobacterium species by MALDI-TOF MS using the VITEK MS coupled to IVD and RUO databases. Microb Biotechnol 2023; 16:778-783. [PMID: 36541026 PMCID: PMC10034632 DOI: 10.1111/1751-7915.14146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/22/2022] [Accepted: 09/01/2022] [Indexed: 12/24/2022] Open
Abstract
Identification of Nocardia and Mycobacterium species by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) is still a challenging task that requires both suitable protein extraction procedures and extensive databases. This study aimed to evaluate the VITEK MS Plus system coupled with updated RUO (v4.17) and IVD (v3.2) databases for the identification of Nocardia spp. and Mycobacterium spp. clinical isolates. Sample preparation was carried out using the VITEK MS Mycobacterium/Nocardia kit for protein extraction. From 90 Nocardia spp. isolates analysed, 86 (95.6%) were correctly identified at species or complex level using IVD and 78 (86.7%) using RUO. Only two strains were misidentified as other species pertaining to the same complex. Among the 106 non-tuberculous Mycobacterium clinical isolates tested from a liquid culture medium, VITEK MS identified correctly at species or complex level 96 (90.6%) isolates in the IVD mode and 89 (84.0%) isolates in the RUO mode. No misidentifications were detected. Although the IVD mode was unable to differentiate members of the M. fortuitum complex, the RUO mode correctly discriminated M. peregrinum and M. septicum. The robustness and accuracy showed by this system allow its implementation for routine identification of these microorganisms in clinical laboratories.
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Affiliation(s)
- David Rodríguez‐Temporal
- Clinical Microbiology and Infectious Diseases DepartmentHospital General Universitario Gregorio MarañónMadridSpain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)MadridSpain
| | - Margarita Estreya Zvezdánova
- Clinical Microbiology and Infectious Diseases DepartmentHospital General Universitario Gregorio MarañónMadridSpain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)MadridSpain
| | - Pablo Benedí
- Clinical Microbiology and Infectious Diseases DepartmentHospital General Universitario Gregorio MarañónMadridSpain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)MadridSpain
| | - Mercedes Marín
- Clinical Microbiology and Infectious Diseases DepartmentHospital General Universitario Gregorio MarañónMadridSpain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)MadridSpain
- CIBER de Enfermedades Respiratorias (CIBERES CB06/06/0058)MadridSpain
| | - Mario Blázquez‐Sánchez
- Clinical Microbiology and Infectious Diseases DepartmentHospital General Universitario Gregorio MarañónMadridSpain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)MadridSpain
| | - María Jesús Ruiz‐Serrano
- Clinical Microbiology and Infectious Diseases DepartmentHospital General Universitario Gregorio MarañónMadridSpain
| | - Patricia Muñoz
- Clinical Microbiology and Infectious Diseases DepartmentHospital General Universitario Gregorio MarañónMadridSpain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)MadridSpain
- CIBER de Enfermedades Respiratorias (CIBERES CB06/06/0058)MadridSpain
- Medicine Department, Faculty of MedicineUniversidad Complutense de MadridMadridSpain
| | - Belén Rodríguez‐Sánchez
- Clinical Microbiology and Infectious Diseases DepartmentHospital General Universitario Gregorio MarañónMadridSpain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)MadridSpain
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Using Vitek MS v3.0 To Identify Nontuberculous Mycobacteria in Liquid Media in a Clinical Microbiology Laboratory. Microbiol Spectr 2022; 10:e0201822. [PMID: 36287015 PMCID: PMC9769768 DOI: 10.1128/spectrum.02018-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Recently, the incidence of diseases caused by nontuberculous mycobacteria (NTM) has been increasing worldwide, especially in immunocompromised patients and those with potential chronic lung disease. Vitek MS v3.0 matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid and reliable method for identifying mycobacteria in clinical laboratories. This study aimed to evaluate the performance of Vitek MS v3.0 by isolating NTM directly from automated liquid medium systems using patient samples. A total of 855 Mycobacterium growth indicator tube (MGIT)-positive liquid cultures were investigated. Among them, 658 (77.0%) liquid cultures were correctly identified to the species, group, or complex level, 192 (23.0%) resulted in no identification, and 5 (0.6%) were misidentified at the species level. DNA sequencing identified 855 NTM isolates from liquid cultures, comprising 316 isolates of rapidly growing mycobacteria (RGM) and 539 isolates of slow-growing mycobacteria (SGM). Using the Vitek MS system, the RGM integral identification rate (276/316 [87.34%]) was higher than the SGM rate (381/539 [70.69%]) (P < 0.01). It was also higher than the SGM rate for all MGIT report-positive periods. These results indicate that the Vitek MS v3.0 system can rapidly identify NTM species from liquid cultures. Further validation using molecular techniques is required. IMPORTANCE Rapid and accurate identification of nontuberculous mycobacteria (NTM) is essential for diagnosis, appropriate therapy, and infection control. Vitek MS v3.0 matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid and reliable method for identifying mycobacteria in clinical laboratories. This study reported a clinical validation of the Vitek MS V3.0 system for identification of NTM isolates from 855 MGIT-positive liquid cultures which contained relatively large NTM types. Vitek MS v3.0 showed a promising rate for identification NTM isolates in positive liquid cultures. Vitek MS v3.0 had a better performance with RGM than with SGM. Vitek MS v3.0 results included "unidentified" or "misidentified" NTM isolates, which would also serve as an important reference for future optimization of this system. Vitek MS v3.0 represented a valuable technique for NTM identification from positive liquid cultures.
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Application and Perspectives of MALDI-TOF Mass Spectrometry in Clinical Microbiology Laboratories. Microorganisms 2021; 9:microorganisms9071539. [PMID: 34361974 PMCID: PMC8307939 DOI: 10.3390/microorganisms9071539] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/06/2021] [Accepted: 07/18/2021] [Indexed: 12/11/2022] Open
Abstract
Early diagnosis of severe infections requires of a rapid and reliable diagnosis to initiate appropriate treatment, while avoiding unnecessary antimicrobial use and reducing associated morbidities and healthcare costs. It is a fact that conventional methods usually require more than 24–48 h to culture and profile bacterial species. Mass spectrometry (MS) is an analytical technique that has emerged as a powerful tool in clinical microbiology for identifying peptides and proteins, which makes it a promising tool for microbial identification. Matrix assisted laser desorption ionization–time of flight MS (MALDI–TOF MS) offers a cost- and time-effective alternative to conventional methods, such as bacterial culture and even 16S rRNA gene sequencing, for identifying viruses, bacteria and fungi and detecting virulence factors and mechanisms of resistance. This review provides an overview of the potential applications and perspectives of MS in clinical microbiology laboratories and proposes its use as a first-line method for microbial identification and diagnosis.
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Banaei N, Musser KA, Salfinger M, Somoskovi A, Zelazny AM. Novel Assays/Applications for Patients Suspected of Mycobacterial Diseases. Clin Lab Med 2020; 40:535-552. [DOI: 10.1016/j.cll.2020.08.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Sharma SK, Upadhyay V. Epidemiology, diagnosis & treatment of non-tuberculous mycobacterial diseases. Indian J Med Res 2020; 152:185-226. [PMID: 33107481 PMCID: PMC7881820 DOI: 10.4103/ijmr.ijmr_902_20] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Indexed: 12/13/2022] Open
Abstract
Non-tuberculous mycobacteria (NTM) are ubiquitously present in the environment, but NTM diseases occur infrequently. NTM are generally considered to be less virulent than Mycobacterium tuberculosis, however, these organisms can cause diseases in both immunocompromised and immunocompetent hosts. As compared to tuberculosis, person-to-person transmission does not occur except with M. abscessus NTM species among cystic fibrosis patients. Lung is the most commonly involved organ, and the NTM-pulmonary disease (NTM-PD) occurs frequently in patients with pre-existing lung disease. NTM may also present as localized disease involving extrapulmonary sites such as lymph nodes, skin and soft tissues and rarely bones. Disseminated NTM disease is rare and occurs in individuals with congenital or acquired immune defects such as HIV/AIDS. Rapid molecular tests are now available for confirmation of NTM diagnosis at species and subspecies level. Drug susceptibility testing (DST) is not routinely done except in non-responsive disease due to slowly growing mycobacteria ( M. avium complex, M. kansasii) or infection due to rapidly growing mycobacteria, especially M. abscessus. While the decision to treat the patients with NTM-PD is made carefully, the treatment is given for 12 months after sputum culture conversion. Additional measures include pulmonary rehabilitation and correction of malnutrition. Treatment response in NTM-PD is variable and depends on isolated NTM species and severity of the underlying PD. Surgery is reserved for patients with localized disease with good pulmonary functions. Future research should focus on the development and validation of non-culture-based rapid diagnostic tests for early diagnosis and discovery of newer drugs with greater efficacy and lesser toxicity than the available ones.
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Affiliation(s)
- Surendra K. Sharma
- Department of Molecular Medicine, Jamia Hamdard Institute of Molecular Medicine, Jamia Hamdard (Deemed-to-be-University), New Delhi, India
| | - Vishwanath Upadhyay
- Department of Molecular Medicine, Jamia Hamdard Institute of Molecular Medicine, Jamia Hamdard (Deemed-to-be-University), New Delhi, India
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Rodríguez-Sánchez B, Cercenado E, Coste AT, Greub G. Review of the impact of MALDI-TOF MS in public health and hospital hygiene, 2018. ACTA ACUST UNITED AC 2020; 24. [PMID: 30696525 PMCID: PMC6351997 DOI: 10.2807/1560-7917.es.2019.24.4.1800193] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction MALDI-TOF MS represents a new technological era for microbiology laboratories. Improved sample processing and expanded databases have facilitated rapid and direct identification of microorganisms from some clinical samples. Automated analysis of protein spectra from different microbial populations is emerging as a potential tool for epidemiological studies and is expected to impact public health. Aim To demonstrate how implementation of MALDI-TOF MS has changed the way microorganisms are identified, how its applications keep increasing and its impact on public health and hospital hygiene. Methods A review of the available literature in PubMED, published between 2009 and 2018, was carried out. Results Of 9,709 articles retrieved, 108 were included in the review. They show that rapid identification of a growing number of microorganisms using MALDI-TOF MS has allowed for optimisation of patient management through prompt initiation of directed antimicrobial treatment. The diagnosis of Gram-negative bacteraemia directly from blood culture pellets has positively impacted antibiotic streamlining, length of hospital stay and costs per patient. The flexibility of MALDI-TOF MS has encouraged new forms of use, such as detecting antibiotic resistance mechanisms (e.g. carbapenemases), which provides valuable information in a reduced turnaround time. MALDI-TOF MS has also been successfully applied to bacterial typing. Conclusions MALDI-TOF MS is a powerful method for protein analysis. The increase in speed of pathogen detection enables improvement of antimicrobial therapy, infection prevention and control measures leading to positive impact on public health. For antibiotic susceptibility testing and bacterial typing, it represents a rapid alternative to time-consuming conventional techniques.
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Affiliation(s)
- Belén Rodríguez-Sánchez
- These authors contributed equally to this work.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Emilia Cercenado
- Department of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Alix T Coste
- Institute of Microbiology, University Hospital of Lausanne, Lausanne, Switzerland
| | - Gilbert Greub
- Infectious Diseases Service, University Hospital of Lausanne, Lausanne, Switzerland.,Institute of Microbiology, University Hospital of Lausanne, Lausanne, Switzerland.,These authors contributed equally to this work
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Performance of Vitek MS v3.0 for Identification of Mycobacterium Species from Patient Samples by Use of Automated Liquid Medium Systems. J Clin Microbiol 2018; 56:JCM.00219-18. [PMID: 29875193 DOI: 10.1128/jcm.00219-18] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Accepted: 05/31/2018] [Indexed: 12/27/2022] Open
Abstract
The accuracy and robustness of the Vitek MS v3.0 matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry (MS) system was evaluated by identifying mycobacteria from automated liquid-medium systems using patient samples. This is the first report to demonstrate that proteins within the liquid medium, its supplements, and decontamination reagents for nonsterile patient samples do not generate misidentification or false-positive results by use of the Vitek MS v3.0 system. Prior to testing with patient samples, a seeded-culture study was conducted to challenge the accuracy of the Vitek MS system at identifying mycobacteria from liquid medium by mimicking a clinical workflow. Seventy-seven Mycobacterium strains representing 21 species, seeded in simulated sputum, were decontaminated, inoculated into BacT/Alert MP liquid culture medium, incubated until positivity, and identified using the Vitek MS system. A total of 383 liquid cultures were tested, of which 379 (99%) were identified correctly to the species/complex/group level, 4 (1%) gave a "no-identification" result, and no misidentifications were observed. Following the simulated-sputum study, a total of 73 smear-positive liquid-medium cultures detected using BD BBL MGIT and VersaTREK Myco liquid media were identified by the Vitek MS system. Sixty-four cultures (87.7%) were correctly identified to the species/complex/group level; 7 (9.6%) resulted in no identification; and 2 (2.7%) were misidentified at the species level. These results indicate that the Vitek MS v3.0 system is an accurate tool for routine diagnostics of Mycobacterium species isolated from liquid cultures.
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Luo L, Cao W, Chen W, Zhang R, Jing L, Chen H, Yu F, Yue J. Evaluation of the VITEK MS knowledge base version 3.0 for the identification of clinically relevant Mycobacterium species. Emerg Microbes Infect 2018; 7:114. [PMID: 29973586 PMCID: PMC6031696 DOI: 10.1038/s41426-018-0120-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 05/18/2018] [Accepted: 05/29/2018] [Indexed: 11/09/2022]
Abstract
Different Mycobacterium spp. infections may indicate varied treatment regimens in the clinic. Thus, the species-level identification of Mycobacterium spp. is one of the most important tasks for a clinical microbiology laboratory. Although matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid and accurate method for the identification of mycobacteria, this method lacks a comprehensive evaluation of the identification accuracy for clinically collected mycobacteria using VITEK MS Knowledge Base Version 3.0 (Ver 3.0). The objectives of the present study were to evaluate the identification performance of Mycobacterium spp. using Ver 3.0 and a sample processing kit for strain inactivation and protein extraction. Among the 507 Mycobacterium isolates, 46 isolates were M. tuberculosis, and 461 isolates were nontuberculous mycobacteria (NTM) (including 27 species: 17 species were slowly growing mycobacteria (SGM), and 10 species were rapidly growing mycobacteria (RGM)). The VITEK MS V3.0 library was used to correctly identify 476/507 (93.9%) isolates (425 isolates were correctly identified initially, and 51 more isolates were correctly identified on repeat), 23/507 (4.5%) isolates were unidentified, and 8/507 (1.6%) isolates were misidentified. In summary, we showed that Mycobacterium spp. can be adequately identified by Ver 3.0 in combination with the use of a standard sample processing kit.
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Affiliation(s)
- LiuLin Luo
- Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Wen Cao
- Tongji University School of Medicine, Shanghai, 200092, China
| | - WeiWei Chen
- Tongji University School of Medicine, Shanghai, 200092, China
| | - RanRan Zhang
- Tongji University School of Medicine, Shanghai, 200092, China
| | - LinJie Jing
- Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - HuiPing Chen
- Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - FangYou Yu
- Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
| | - Jun Yue
- Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
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Lecorche E, Haenn S, Mougari F, Kumanski S, Veziris N, Benmansour H, Raskine L, Moulin L, Cambau E, Aubry A, Brossier F, Chauffour A, Jaffre J, Jarlier V, Robert J, Sougakoff W. Comparison of methods available for identification of Mycobacterium chimaera. Clin Microbiol Infect 2018; 24:409-413. [DOI: 10.1016/j.cmi.2017.07.031] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2017] [Revised: 07/27/2017] [Accepted: 07/28/2017] [Indexed: 10/19/2022]
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Evaluation of Two Protein Extraction Protocols Based on Freezing and Mechanical Disruption for Identifying Nontuberculous Mycobacteria by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry from Liquid and Solid Cultures. J Clin Microbiol 2018; 56:JCM.01548-17. [PMID: 29367300 DOI: 10.1128/jcm.01548-17] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 01/19/2018] [Indexed: 01/30/2023] Open
Abstract
Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has proved to be a useful diagnostic method for identifying conventional bacteria. In the case of mycobacteria, a good protein extraction protocol is essential in order to obtain reliable identification results. To date, no such protocol has been definitively established. The aim of this study was to compare the manufacturer's recommended protein extraction protocol (protocol A) with two novel protocols (protocols B and C), which apply different freezing temperatures and mechanical disruption times using an automatic tissue homogenizer. A total of 302 clinical isolates, comprising 41 nontuberculous mycobacteria (NTM) species, were grown in parallel on solid and liquid media and analyzed: 174 isolates were slow-growing mycobacteria (SGM) and 128 isolates were rapid-growing mycobacteria (RGM). Overall, MALDI-TOF MS identified a higher number of NTM isolates from solid than from liquid media, especially with protocol C (83.4 and 68.2%, respectively; P < 0.05). From solid media, this protein extraction method identified 57.9 and 3.9% more isolates than protocols A (P < 0.001) and B (P < 0.05), respectively. In the case of liquid media, protocol C identified 49.7 and 6.3% more isolates than protocols A and B, respectively (P < 0.001). With regard to the growth rate, MALDI-TOF MS identified more RGM isolates than SGM isolates in all of the protocols studied. In conclusion, the application of freezing and automatic tissue homogenizer improved protein extraction of NTM and boosted identification rates. Consequently, MALDI-TOF MS, which is a cheap and simple method, could be a helpful tool for identifying NTM species in clinical laboratories.
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Accuracy of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Mycobacteria: a systematic review and meta-analysis. Sci Rep 2018. [PMID: 29515167 PMCID: PMC5841357 DOI: 10.1038/s41598-018-22642-w] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Mycobacterium species are a significant cause of morbidity and mortality worldwide. The present study was carried out to systematically evaluate the accuracy of Matrix-assisted laser desorption ionization-time of flight mass spectroscopy (MALDI-TOF MS) for the identification of clinical pathogenic mycobacteria. After a rigid selection process, 19 articles involving 2,593 mycobacteria isolates were included. The pooled result agreed with the reference method identification for 85% of the isolates to genus level, with 71% (95% CI of 69% to 72%) correct to the species level. The MALDI-TOF MS correctly identified 92% of the M.tuberculosis isolates (95% CI of 0.87 to 0.96), and 68% of M. bovisisolates (95% CI of 27% to 100%) to the species level. Mycobacterium tuberculosis complex in solid media with reference strains using augmented database showing more accurate identification. The identifying accuracy rate of bioMérieuxVitek MS was slight higher than Bruker MALDI Biotyper (75% vs 72%). However, opposite results were obtained in identifications of M. fortuitum, M. kansasii, M. marinum, and M. terrae with these two systems. In summary, our results demonstrate that application of MALDI-TOF MS in clinical pathogenic mycobacteria identification is less satisfactory to date. Increasing need for improvement is important especially at species level.
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A novel liquid media mycobacteria extraction method for MALDI-TOF MS identification using VITEK® MS. J Microbiol Methods 2017; 144:128-133. [PMID: 29158151 DOI: 10.1016/j.mimet.2017.11.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 10/30/2017] [Accepted: 11/16/2017] [Indexed: 11/22/2022]
Abstract
A low-cost identification method that can be performed directly from a positive liquid medium culture is needed for the diagnosis of mycobacterial infections. Here, we describe a novel, cost-effective, and validated method that allows for direct and rapid identification of mycobacteria from a positive liquid culture using VITEK® MS with a total process duration under 45min. From a liquid mycobacteria culture a 3.0mL aliquot is removed 24-72h post positivity and centrifuged to create a pellet. After decanting, the tube is blotted dry, the pellet is re-suspended in 0.5mL of 70% ethanol and then transferred into a 2.0mL tube containing glass beads. Mycobacteria are disrupted mechanically followed by a 10min. incubation at room temperature to complete inactivation. Inactivated material is pelleted by centrifugation and then re-suspended in 10μL of 70% formic acid and 10μL of acetonitrile. After centrifugation, 1μL of supernatant (protein extract) is deposited onto target slide, allowed to dry, and then 1μL CHCA matrix is added. A seeded study was conducted to demonstrate the reliability of the method, a total of 251 culture samples obtained from automated culture systems (BacT/ALERT® MP bottles, BACTEC MGIT™ 960 tubes, and VersaTREK® Myco bottles), were tested and resulted in 98.8% correct identification. Reproducibility was shown by testing three organisms across three reagent lots, between four laboratory technicians, over the course of five days for three liquid media systems resulting in a total of 180 deposits with an overall correct identification of 98.9% with the remaining results giving no identification. Additional studies were performed including comparison of different mechanical disruption techniques, stability of frozen extracts, and stability of slide deposits to allow for flexibility in a routine clinical workflow. The described method proved to be safe while providing consistent and reproducible results for different species of mycobacteria and is compatible with the three most widely used liquid media medium detection systems.
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Pranada AB, Witt E, Bienia M, Kostrzewa M, Timke M. Accurate differentiation of Mycobacterium chimaera from Mycobacterium intracellulare by MALDI-TOF MS analysis. J Med Microbiol 2017; 66:670-677. [DOI: 10.1099/jmm.0.000469] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Arthur B Pranada
- MVZ Dr. Eberhard & Partner Dortmund (ÜBAG), Department of Medical Microbiology, Dortmund, Germany
| | - Ellen Witt
- MVZ Dr. Eberhard & Partner Dortmund (ÜBAG), Department of Medical Microbiology, Dortmund, Germany
| | - Michael Bienia
- MVZ Dr. Eberhard & Partner Dortmund (ÜBAG), Department of Medical Microbiology, Dortmund, Germany
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Comparison of Saramis 4.12 and IVD 3.0 Vitek MS Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Mycobacteria from Solid and Liquid Culture Media. J Clin Microbiol 2017; 55:2045-2054. [PMID: 28424252 DOI: 10.1128/jcm.00006-17] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2017] [Accepted: 04/04/2017] [Indexed: 01/25/2023] Open
Abstract
During the last decade, many investigators have studied matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) for identification of mycobacteria. Diverse and contradictory results indicated that optimal level for routine testing has not been reached yet. This work aimed to assess Vitek MS through two distinct versions, Saramis v4.12 RUO and the IVD v3.0, under conditions close to routine laboratory practice. Overall, 111 mycobacterial isolates were subjected to protein extraction and same spectra were matched against both databases. The IVD v3.0 database proved to be superior to Saramis v4.12 and its identification rates remarkably increased, from 67% to 94% for isolates grown on Middlebrook 7H10 solid medium and from 62% to 91% for isolates grown on mycobacterial growth indicator tube (MGIT) liquid medium. With this new version, IVD v3.0, MALDI-TOF MS might be integrated into routine clinical diagnostics, although molecular techniques remain mandatory in some cases.
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Girard V, Mailler S, Welker M, Arsac M, Cellière B, Cotte-Pattat PJ, Chatellier S, Durand G, Béni AM, Schrenzel J, Miller E, Dussoulier R, Dunne WM, Butler-Wu S, Saubolle MA, Sussland D, Bell M, van Belkum A, Deol P. Identification of mycobacterium spp. and nocardia spp. from solid and liquid cultures by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Diagn Microbiol Infect Dis 2016; 86:277-283. [PMID: 27567285 DOI: 10.1016/j.diagmicrobio.2016.07.027] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Revised: 06/20/2016] [Accepted: 07/26/2016] [Indexed: 01/15/2023]
Abstract
Identification of microorganisms by MALDI-TOF MS has been widely accepted in clinical microbiology. However, for Mycobacterium spp. and Nocardia spp. such identification has not yet reached the optimal level of routine testing. Here we describe the development of an identification tool for 49 and 15 species of Mycobacterium spp. and Nocardia spp., respectively. During database construction, a number of ambiguous reference identifications were revealed and corrected via molecular analyses. Eventually, more than 2000 individual mass spectra acquired from 494 strains were included in a reference database and subjected to bio-statistical analyses. This led to correct species identification and correct combination of species into several complexes or groups, such as the Mycobacterium tuberculosis complex. With the Advanced Spectrum Classifier algorithm, class-specific bin weights were determined and tested by cross-validation experiments with good results. When challenged with independent isolates, overall identification performance was 90% for identification of Mycobacterium spp. and 88% for Nocardia spp. However, for a number of Mycobacterium sp. isolates, no identification could be achieved and in most cases, this could be attributed to the production of polymers that masked the species-specific protein peak patterns. For the species where >20 isolates were tested, correct identification reached 95% or higher. With the current spectral database, the identification of Mycobacterium spp. and Nocardia spp. by MALDI-TOF MS can be performed in routine clinical diagnostics although in some complicated cases verification by sequencing remains mandatory.
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Affiliation(s)
- Victoria Girard
- bioMérieux, Microbiology R&D, Route de Port Michaud, 38390, La Balme, Les Grottes, France
| | - Sandrine Mailler
- bioMérieux, Microbiology R&D, Route de Port Michaud, 38390, La Balme, Les Grottes, France
| | - Martin Welker
- bioMérieux, Microbiology R&D, Route de Port Michaud, 38390, La Balme, Les Grottes, France
| | - Maud Arsac
- bioMérieux, Microbiology R&D, Route de Port Michaud, 38390, La Balme, Les Grottes, France
| | - Béatrice Cellière
- bioMérieux, Microbiology R&D, Route de Port Michaud, 38390, La Balme, Les Grottes, France
| | | | - Sonia Chatellier
- bioMérieux, Microbiology R&D, Route de Port Michaud, 38390, La Balme, Les Grottes, France
| | - Géraldine Durand
- bioMérieux, Microbiology R&D, Route de Port Michaud, 38390, La Balme, Les Grottes, France
| | - Anne-Marie Béni
- Hôpitaux Universitaires de Genève, Laboratoire de Bactériologie, Rue Gabrielle Perret Gentil 4, 1211, Geneva 14, Switzerland
| | - Jacques Schrenzel
- Hôpitaux Universitaires de Genève, Laboratoire de Bactériologie, Rue Gabrielle Perret Gentil 4, 1211, Geneva 14, Switzerland
| | - Elizabeth Miller
- bioMérieux Inc., Microbiology R&D, 100 Rodolphe St, Durham, NC, 27712, USA
| | - Rahima Dussoulier
- bioMérieux Inc., Microbiology R&D, 100 Rodolphe St, Durham, NC, 27712, USA
| | - W Michael Dunne
- bioMérieux Inc., Microbiology R&D, 100 Rodolphe St, Durham, NC, 27712, USA
| | - Susan Butler-Wu
- Clinical Microbiology Laboratory, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA; Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Michael A Saubolle
- Banner University Medical Center, 1111 E. McDowell Rd., Phoenix, AZ, 85006, USA
| | - Den Sussland
- Banner University Medical Center, 1111 E. McDowell Rd., Phoenix, AZ, 85006, USA
| | - Melissa Bell
- Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329-4027, USA
| | - Alex van Belkum
- bioMérieux, Microbiology R&D, Route de Port Michaud, 38390, La Balme, Les Grottes, France.
| | - Parampal Deol
- bioMérieux Inc., Microbiology R&D, 100 Rodolphe St, Durham, NC, 27712, USA
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