+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

Multicenter evaluation of the Sherlock Mycobacteria Identification System for the identification of mycobacteria



Multicenter evaluation of the Sherlock Mycobacteria Identification System for the identification of mycobacteria



Abstracts of the General Meeting of the American Society for Microbiology 103: U-021



High-performance liquid chromatography of mycolic acids has been demonstrated by several laboratories to be an accurate method for mycobacteria identification. However, integration of this method into the mycobacteriology laboratory has been impeded by the lack of an accurate, completely automated system. The recently developed Sherlock(R) Mycobacteria Identification System, SMIS, (Midi Inc., Newark, DE) is a fluorescence detection HPLC instrument that incorporates system suitability, calibration, and pattern recognition software to achieve rapid and fully automated mycobacteria identification. In a multicenter study, we evaluated the performance of the SMIS to identify 316 isolates of mycobacteria grown on Middlebrook medium, representing 30 mycobacterial species. Each center analyzed an evaluation set of isolates that were representative of the isolates routinely identified at that center. The evaluation set was supplemented with reference strains of infrequently isolated mycobacterial species. Mycolic extracts were prepared and analyzed by the SMIS using the MYCOLC1 method and classified using the MYCAG1, Version 1.02 pattern library that contained 40 entries, representing 25 mycobacterial species or groups. Of the 316 total isolates analyzed by the SMIS, 269 (85.1%) were correctly identified, 44 (13.9%) were reported as inconclusive, and 3 (0.9%) were misidentified. Of the 98 Mycobacterium tuberculosis complex isolates analyzed by the SMIS, 96 (98.0%) were identified correctly, and 2 (2.0%) were reported as inconclusive. Of the 60 M. avium complex isolates analyzed by the SMIS, 56 (93.3%) isolates were identified correctly, and 4 (6.7%) were reported as inconclusive. The SMIS misidentified two isolates of M. kubicae and one isolate of M. gastri as M. tuberculosis complex, indicating a need to further refine the library. Overall, the SMIS was found to be easy to use, operationally reliable, and moderately to highly accurate for mycobacteria identification. The SMIS is a promising new tool for the mycobacteriology laboratory.

(PDF emailed within 1 workday: $29.90)

Accession: 035349821

Download citation: RISBibTeXText


Related references

Identification of mycobacteria directly from BacT/ALERT (R) MP (Mycobacteria process) bottles using the sherlock (R) mycobacteria identification HPLC svstem. 2007

The identification of mycobacteria from solid media and directly from VersaTREK Myco bottles using the Sherlock Mycobacteria Identification HPLC system. Clinical Microbiology and Infection 12(5): 478-481, 2006

Comparative evaluation of INNO-LiPA MYCOBACTERIA v2 and DNA AccuProbe assays for direct identification of mycobacteria from BACTEC MGIT 960 system tubes. 2007

Application of the Sherlock Mycobacteria Identification System using high-performance liquid chromatography in a clinical laboratory. Journal of Clinical Microbiology 39(3): 964-970, 2001

Multicenter evaluation of the fully automated Bactec MGIT 960 system and three molecular methods for the isolation and the identification of mycobacteria from clinical specimens. Diagnostic Microbiology & Infectious Disease 46(4): 299-301, 2003

Evaluation of INNO-LiPA mycobacteria v2 assay for identification of rapidly growing mycobacteria. Brazilian Journal of Microbiology 42(3): 1220-1226, 2011

Utility of the PCR based LiPA MYCOBACTERIA for the identification of mycobacteria isolated in the MB/BacT TB system. Abstracts of the General Meeting of the American Society for Microbiology 99: 639, 1999

Evaluation of Speed-oligo Mycobacteria test for identification of nontuberculous mycobacteria. Enfermedades Infecciosas Y Microbiologia Clinica 31(1): 63-64, 2014

Evaluation of the Speed-Oligo Mycobacteria assay for the identification of nontuberculous mycobacteria. Journal of Medical Microbiology 64(Pt 3): 283-287, 2015

Evaluation of MALDI Biotyper Mycobacteria Library v3.0 for Identification of Nontuberculous Mycobacteria. Journal of Clinical Microbiology 54(4): 1144-1147, 2016

Evaluation of the INNO-LiPA mycobacteria v2 assay for identification of aquatic mycobacteria. Journal of Fish Diseases 31(12): 931-940, 2008

Evaluation of MALDI-TOF MS for identification of nontuberculous mycobacteria isolated from clinical specimens in mycobacteria growth indicator tube medium. New Microbiologica 41(3): 214-219, 2018

Differential identification of mycobacteria. VII. Key features for identification of clinically significant mycobacteria. American Review of Respiratory Disease 107(1): 9-21, 1973

Multicenter evaluation of mycobacteria identification by PCR restriction enzyme analysis in laboratories from Latin America and the Caribbean. Journal of Microbiological Methods 61(2): 193-199, 2005

Comparative evaluation of the AdvanSure Mycobacteria GenoBlot assay and the GenoType Mycobacterium CM/AS assay for the identification of non-tuberculous mycobacteria. Journal of Medical Microbiology 65(12): 1422-1428, 2016