Evaluation of VITEK® 2 and MALDI-TOF/MS automated methodologies in the identification of atypical Listeria spp. isolated from food in different regions of Brazil

dc.creatorReis, Cristhiane M.F. dos
dc.creatorRamos, Gustavo Luis de P.A.
dc.creatorPereira, Rodrigo de Castro Lisbôa
dc.creatorVallim, Deyse Christina
dc.creatorCosta, Leonardo Emanuel de Oliveira
dc.date2022-07-05T16:29:56Z
dc.date2022-07-05T16:29:56Z
dc.date2022
dc.date.accessioned2023-09-26T23:00:43Z
dc.date.available2023-09-26T23:00:43Z
dc.identifierREIS, Christiane M. F. dos et al. the identification of atypical Listeria spp. isolated from food in different regions of Brazil. Journal of Microbiological Methods, v. 194, 106434, p. 1 - 6, Feb. 2022.
dc.identifier0167-7012
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/53641
dc.identifier10.1016/j.mimet.2022.106434
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8885836
dc.descriptionListeria monocytogenes is a pathogen responsible for listeriosis, a foodborne disease with high mortality rates (20–30%). It mainly affects the elderly, pregnant women, and immunocompromised people. Although not pathogenic, the isolation and identification of Listeria innocua are critical since they can indicate L. monocytogenes’ presence as they are closely related and widely distributed in the environment and food processing plants. The objective of this study was to evaluate the effectiveness of the automated methods VITEK® 2 and MALDI-TOF/MS in identifying 94 strains of the genus Listeria with atypical identification profile. The resulting identification by Polymerase Chain Reaction (PCR), using specific primers for the most common species of Listeria, was considered the correct identification and presented a total of 31 strains identified as Listeria innocua (LI), 54 as L. monocytogenes (LM), 8 as Listeria welshimeri (LW) and 1 as Listeria grayi (LG). The VITEK® 2 automated system correctly identified, on average, 79% of the LI strains, 16% of the LM strains, and 88.0% of the LW strains. In the analysis by MALDI-TOF/MS, on average, 73% of LM strains were correctly identified, few LW strains were correctly identified, and all LI strains were incorrectly identified. Both VITEK® 2 and MALDI-TOF/ MS correctly identified the LG strain in both analyzes. The results demonstrate that automated methodologies could not discriminate atypical strains of the Listeria genus and point to the need for the use of complementary tests, such as PCR and chromogenic media, for the correct identification of these strains.
dc.description2025-02
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier
dc.rightsrestricted access
dc.subjectListeria innocua
dc.subjectListeria monocytogenes
dc.subjectMetodologias automatizadas
dc.subjectPCR
dc.subjectEspectrometria de massa
dc.subjectListeria innocua
dc.subjectListeria monocytogenes
dc.subjectAutomated methodologies
dc.subjectPCR
dc.subjectMass spectrometry
dc.titleEvaluation of VITEK® 2 and MALDI-TOF/MS automated methodologies in the identification of atypical Listeria spp. isolated from food in different regions of Brazil
dc.typeArticle


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