Please use this identifier to cite or link to this item: http://sgc.anlis.gob.ar/handle/123456789/2693
Title: Decoding anaerobes: a comprehensive evaluation of MALDI-TOF Sirius and VITEK MS PRIME in clinical settings
Authors: Rocca, María Florencia 
Etcheverry, Paula 
D'angiolo, Gastón 
Pietro, Monica 
Keywords: MALDI-TOF;Bacterias Anaerobias;Reproducibilidad de los Resultados;Pruebas de Sensibilidad Microbiana
Issue Date: 25-Sep-2025
Abstract: 
The timely identification of anaerobic bacteria at the genus and species
levels is critical for managing infections and guiding antimicrobial therapy. Matrix-assisted
laser desorption-ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has
emerged as a powerful tool for the identification of anaerobic bacteria, overcoming
challenges associated with their special culture requirements and low growth rates.
This technique has proven to be both reliable and efficient, providing accurate identification
with minimal bacterial biomass. The application of MALDI-TOF MS in clinical
settings has significantly improved the identification of anaerobic bacteria, facilitating
appropriate treatment decisions and enhancing patient outcomes with minor costs. This
study evaluates the performance of two MALDI-TOF mass spectrometry platforms: SIRIUS
(Bruker Daltonics) and VITEK MS PRIME (bioMérieux), and their latest libraries, using a
panel of 60 clinically relevant anaerobic strains validated in IVD databases and approved
by the Food and Drug Administration. Beyond identification accuracy, we highlight
the role of rapid confirmation of anaerobic pathogens in improving clinical outcomes.
Results are compared against the existing literature, including performance evaluations
of our group, to underscore the advancements in MALDI-TOF technology. MALDI-TOF
MS has demonstrated high accuracy in identifying anaerobic bacteria, with a genus
identification success rate of over 97%, combined with a precision value of 100% and an
overall performance agreement of 73.3%, with some minor discrepancies, so the choice
of one or the other platform will depend on the needs of each particular laboratory.
Description: 
Fil: Rocca, María Florencia. Servicio Bacteriología Especial. Departamento de Bacteriología. Instituto Nacional de
enfermedades infecciosas. INEI-ANLIS "Dr. Carlos G. Malbrán"; Buenos Aires, Argentina.

Fil: Rocca, María florencia. Red Nacional de identificación microbiológica mediante espectrometría de masas
ReNaEM; Buenos Aires, Argentina.

Fil: Paula Etcheverry. Servicio Bacteriología Especial. Departamento de Bacteriología. Instituto Nacional de
enfermedades infecciosas. INEI-ANLIS "Dr. Carlos G. Malbrán"; Buenos Aires, Argentina.

Fil: Gastón D ́Angiolo. Servicio Bacteriología Especial. Departamento de Bacteriología. Instituto Nacional de
enfermedades infecciosas. INEI-ANLIS "Dr. Carlos G. Malbrán"; Buenos Aires, Argentina.

Fil: Mónica Prieto. Servicio Bacteriología Especial. Departamento de Bacteriología. Instituto Nacional de
enfermedades infecciosas. INEI-ANLIS "Dr. Carlos G. Malbrán"; Buenos Aires, Argentina.

Fil: Mónica Prieto. Red Nacional de identificación microbiológica mediante espectrometría de masas
ReNaEM; Buenos Aires, Argentina.
URI: http://sgc.anlis.gob.ar/handle/123456789/2693
DOI: 10.1128/spectrum.01870-25
Appears in Collections:Publicaciones INEI

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