SciELO - Scientific Electronic Library Online

 
vol.56 issue1Detection of plasma anti-lipopolysaccharide (LPS)antibodies against enterohemorrhagic Escherichia coli(EHEC) in asymptomatic kindergarten teachers fromBuenos Aires provinceReduction in the incidence of invasive infections caused by encapsulated bacteria after the onset of the COVID-19 pandemic author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

Share


Revista argentina de microbiología

Print version ISSN 0325-7541On-line version ISSN 1851-7617

Abstract

LITTERIO, Mirta et al. Comparison of two MALDI-TOF MS systems for theidentification of clinically relevant anaerobic bacteriain Argentina. Rev. argent. microbiol. [online]. 2024, vol.56, n.1, pp.6-6. ISSN 0325-7541.  http://dx.doi.org/10.1016/j.ram.2023.12.001.

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.

Keywords : MALDI-TOF MS systems; Identification; Strict anaerobic bacteria.

        · abstract in Spanish     · text in English     · English ( pdf )