A combined approach of MALDI-TOF mass spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs

dc.creatorRocca, María Florencia
dc.creatorZintgraff, Jonathan
dc.creatorDattero, María Elena
dc.creatorSantos, Leonardo Silva
dc.creatorLedesma, Martín
dc.creatorVay, Carlos
dc.creatorPrieto, Mónica A.
dc.creatorBenedetti, Estefanía
dc.creatorAvaro, Martín
dc.creatorRusso, Mara
dc.creatorNachtigall, Fabiane Manke
dc.creatorBaumeister, Elsa
dc.date2020-11-27T13:28:14Z
dc.date2020-11-27T13:28:14Z
dc.date2020-12
dc.date.accessioned2023-08-29T20:07:18Z
dc.date.available2023-08-29T20:07:18Z
dc.identifier0166-0934
dc.identifierhttp://sgc.anlis.gob.ar/handle/123456789/1756
dc.identifier10.1016/j.jviromet.2020.113991
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8519593
dc.descriptionFil: Rocca, María Florencia. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
dc.descriptionFil: Zintgraff, Jonathan Cristian. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
dc.descriptionFil: Dattero, María Elena. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina.
dc.descriptionFil: Silva Santos, Leonardo. Instituto de Química de Recursos Naturales, Universidad de Talca; Chile.
dc.descriptionFil: Ledesma, Martín. Red Nacional de Espectrometría de Masas aplicada a la Microbiología Clínica (ReNaEM Argentina), Argentina; Laboratorio de Bacteriología, Departamento de Bioquímica Clínica, Hospital de Clínicas José de San Martín, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires; Argentina
dc.descriptionFil: Vay, Carlos. Red Nacional de Espectrometría de Masas aplicada a la Microbiología Clínica (ReNaEM Argentina), Argentina; Laboratorio de Bacteriología, Departamento de Bioquímica Clínica, Hospital de Clínicas José de San Martín, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires; Argentina
dc.descriptionFil: Prieto, Mónica. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
dc.descriptionFil: Benedetti, Estefanía. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina. ,
dc.descriptionFil: Avaro, Martín. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina.
dc.descriptionFil: Russo, Mara. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina.
dc.descriptionFil: Nachtigall, Fabiane Manke. Instituto de Ciencias Químicas Aplicadas, Universidad Autónoma de Chile; Chile.
dc.descriptionFil: Baumeister, Elsa. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina.
dc.descriptionCoronavirus disease 2019, known as COVID-19, is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The early, sensitive and specific detection of SARS-CoV-2 virus is widely recognized as the critical point in responding to the ongoing outbreak. Currently, the diagnosis is based on molecular real time RT-PCR techniques, although their implementation is being threatened due to the extraordinary demand for supplies worldwide. That is why the development of alternative and / or complementary tests becomes so relevant. Here, we exploit the potential of mass spectrometry technology combined with machine learning algorithms, for the detection of COVID-19 positive and negative protein profiles directly from nasopharyngeal swabs samples. According to the preliminary results obtained, accuracy = 67.66 %, sensitivity = 61.76 %, specificity = 71.72 %, and although these parameters still need to be improved to be used as a screening technique, mass spectrometry-based methods coupled with multivariate analysis showed that it is an interesting tool that deserves to be explored as a complementary diagnostic approach due to the low cost and fast performance. However, further steps, such as the analysis of a large number of samples, should be taken in consideration to determine the applicability of the method developed.
dc.formatpdf
dc.languageen
dc.publisherElsevier
dc.relationJournal of virological methods
dc.rightsopen
dc.sourceJournal of Virological Methods 2020; 286.
dc.subjectInfecciones por Coronavirus
dc.subjectAprendizaje Automático
dc.subjectEspectrometría de Masas
dc.titleA combined approach of MALDI-TOF mass spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs
dc.typeArtículo


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