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 ORIGINAL ARTICLE
Year : 2013  |  Volume : 31  |  Issue : 2  |  Page : 117-122

Rapid identification of clinical mycobacterial isolates by protein profiling using matrix assisted laser desorption ionization-time of flight mass spectrometry


1 Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
2 Department of Microbiology, L. R. S. Institute of Tuberculosis and Respiratory Diseases, New Delhi, India
3 Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
4 Department of Respiratory Medicine, L. R. S. Institute of Tuberculosis and Respiratory Diseases, New Delhi, India

Correspondence Address:
J C Samantaray
Department of Microbiology, All India Institute of Medical Sciences, New Delhi
India
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Source of Support: The work was supported by the All India Institute of Medical Sciences and the L. R. S. Institute of Tuberculosis and Respiratory Diseases, New Delhi, Conflict of Interest: None


DOI: 10.4103/0255-0857.115217

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Purpose: The purpose of this study was to evaluate the identification of Mycobacterium tuberculosis which is often plagued with ambiguity. It is a time consuming process requiring 4-8 weeks after culture positivity, thereby delaying therapeutic intervention. For a successful treatment and disease management, timely diagnosis is imperative. We evaluated a rapid, proteomic based technique for identification of clinical mycobacterial isolates by protein profiling using matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Materials and Methods: Freshly grown mycobacterial isolates were used. Acetonitrile/trifluoroacetic acid extraction procedure was carried out, following which cinnamic acid charged plates were subjected to identification by MALDI-TOF MS. Results: A comparative analysis of 42 clinical mycobacterial isolates using the MALDI-TOF MS and conventional techniques was carried out. Among these, 97.61% were found to corroborate with the standard methods at genus level and 85.36% were accurate till the species level. One out of 42 was not in accord with the conventional assays because MALDI-TOF MS established it as Mycobacterium tuberculosis (log (score) >2.0) and conventional methods established it to be non-tuberculous Mycobacterium. Conclusions: MALDI-TOF MS was found to be an accurate, rapid, cost effective and robust system for identification of mycobacterial species. This innovative approach holds promise for early therapeutic intervention leading to better patient care.






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