Abstract

In recent years, MALDI-TOF Mass Spectrometry (MS) method has emerged as a promising and a reliable tool for bacteria identification. In this study we compared Bruker MALDI-TOF MS and conventional phenotypic methods to identify a collection of 333 Gram-positive clinical isolates comprising 22 genera and 60 species. 16S rRNA sequencing was the reference molecular technique, and rpoB gene sequecing was used as a secondary gene target when 16Sr RNA did not allow species identification of Corynebacterium spp. We also investigate if score cut-offs values of ≥1,5 and ≥1,7 were accurate for genus and species-level identification using the Bruker system. Identification at species level was obtained for 92,49% of Gram-positive rods by MALDI-TOF MS compared to 85,89% by phenotypic method. Our data validates the score ≥1,5 for genus level and ≥1,7 for species-level identification in a large and diverse collection of Gram-positive rods. The present study has proved the accuracy of MALDI-TOF MS as an identification method in Gram-positive rods compared to currently used methods in routine laboratories.

Highlights

  • Corynebacterium spp. and other Gram-positive rods (GPR) are widespread throughout nature, being most of the species part of the normal skin flora of humans and animals [1]

  • Correct identification of Corynebacterium spp. and other GPR species is a very challenging task because it will help to identify the real source of infection and install the appropriate treatment for the infection

  • The aims of the present study were to compare the performance of MALDI-TOF Mass Spectrometry (MS) and conventional methods for the identification of GRP and validate the previous proposed score cutoff of $ 1,7 for species level identification in a greater collection of heterogeneous group of GPR

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Summary

Introduction

Corynebacterium spp. and other Gram-positive rods (GPR) are widespread throughout nature, being most of the species part of the normal skin flora of humans and animals [1]. They are increasingly recognized as causes of human infection since immunosuppressive treatments, oncological diseases, antibiotic treatments, and multiple invasive procedures make patients vulnerable to opportunistic infections [2]. In routine laboratories the most used techniques to identify microorganisms are the conventional phenotypic tests [1,3] These tests are time consuming and do not always give reliable identification at the species level. In order to arrive to a correct molecular identification, since the 16S rRNA gene of colony on plate extraction method as previously described [10]

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