Publication: A multi-country study using MALDI-TOF mass spectrometry for rapid identification of Burkholderia pseudomallei
Issued Date
2021-12-01
Resource Type
ISSN
14712180
Other identifier(s)
2-s2.0-85110740592
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
BMC Microbiology. Vol.21, No.1 (2021)
Suggested Citation
Wanitda Watthanaworawit, Tamalee Roberts, Jill Hopkins, Ian Gassiep, Robert Norton, Matthew T. Robinson, Joy Silisouk, Poda Sar, Sena Sao, Premjit Amornchai, Direk Limmathurotsakul, Vanaporn Wuthiekanun, Francois Nosten, Andrew J.H. Simpson, Paul Turner, Clare L. Ling A multi-country study using MALDI-TOF mass spectrometry for rapid identification of Burkholderia pseudomallei. BMC Microbiology. Vol.21, No.1 (2021). doi:10.1186/s12866-021-02276-1 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/77160
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
A multi-country study using MALDI-TOF mass spectrometry for rapid identification of Burkholderia pseudomallei
Abstract
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.