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First Argentine database for the accurate identification of Brucella to species level by MALDI-TOF MS.
Celestino, Celina Analía; Rocca, María Florencia; Ayala, Sandra Marcela; Irazu, Lucía; Escobar, Gabriela Ileana.
Afiliação
  • Celestino CA; Laboratorio de Brucelosis, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI), Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) «Dr. Carlos G. Malbrán¼, Ciudad Autónoma de Buenos Aires, Argentina. Electronic address: ccelestino@anlis.gob.ar.
  • Rocca MF; Servicio de Bacteriología Especial, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI), Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) «Dr. Carlos G. Malbrán¼, Ciudad Autónoma de Buenos Aires, Argentina; Red Nacional de Espectrometría de Masas
  • Ayala SM; Laboratorio de Brucelosis, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI), Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) «Dr. Carlos G. Malbrán¼, Ciudad Autónoma de Buenos Aires, Argentina.
  • Irazu L; Deparatamento de Parasitología, Instituto Nacional de Enfermedades Infecciosas (INEI), Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) «Dr. Carlos G. Malbrán¼, Ciudad Autónoma de Buenos Aires, Argentina.
  • Escobar GI; Laboratorio de Brucelosis, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI), Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) «Dr. Carlos G. Malbrán¼, Ciudad Autónoma de Buenos Aires, Argentina; Red Nacional de Espectrometría de Masas aplicada
Acta Trop ; 248: 107036, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37793493
ABSTRACT
MALDI-TOF mass spectrometry (MS) has proven to be a fast and reliable method for the identification of a large number of taxonomic groups. It offers the advantage of being able to incorporate protein spectra of microorganisms that are absent or poorly represented in commercial databases, such as the genus Brucella. The aim of the study was to build the first database of protein spectra of local biological variants of Brucella in Argentina and of standard strains. First, the identification performance of a panel of 135 strains was evaluated with the Swedish database ¨Folkhälsomyndigheten¨ (containing protein spectra of several international standards of the genus Brucella) imported from the open access site https//spectra.folkhalsomyndigheten.se/spectra/. With this library 100 % of the strains were correctly identified by mass spectrometry to genus level, but not to species level. Due to the limitation found, an in-house database was designed with local Brucella isolates from Argentina and standard strains used in routine bacteriological diagnosis. For its validation, a panel of strains, different from those used to develop the extended local database (n 177), was used to, simultaneously, challenge both libraries. The samples were processed by triplicate and the results obtained were 177 strains correctly identified to genus and species level compared to the gold standard method (phenotypic typing), meeting the criteria accepted by the literature and the manufacturer as reliable identification. Only 2 of these isolates had score values lower than 2 (1.862) and were therefore not included in the calculation of results. According to these results, MALDI-TOF MS is a fast and reliable method for the routine identification of the different Brucella species, and even has the advantage of reducing the time of exposure to pathogenic microorganisms for laboratorians. It could be considered a valuable technique to replace, in the near future, the current conventional techniques due to the ease of transferring protein spectra, avoiding the use of reference strains that are difficult to find commercially available and commonly used in phenotypic typing.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Brucella Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Brucella Idioma: En Ano de publicação: 2023 Tipo de documento: Article