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Title: | 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 | Authors: | Rocca, María Florencia Zintgraff, Jonathan Dattero, María Elena Santos, Leonardo Silva Ledesma, Martín Vay, Carlos Prieto, Mónica A. Benedetti, Estefanía Avaro, Martín Russo, Mara Nachtigall, Fabiane Manke Baumeister, Elsa |
Keywords: | Infecciones por Coronavirus;Aprendizaje Automático;Espectrometría de Masas | Issue Date: | Dec-2020 | Publisher: | Elsevier | Journal: | Journal of virological methods | Abstract: | Coronavirus 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. |
Description: | Fil: Rocca, María Florencia. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina. Fil: Zintgraff, Jonathan Cristian. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina. Fil: Dattero, María Elena. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina. Fil: Silva Santos, Leonardo. Instituto de Química de Recursos Naturales, Universidad de Talca; Chile. Fil: 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 Fil: 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 Fil: Prieto, Mónica. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina. Fil: Benedetti, Estefanía. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina. , Fil: Avaro, Martín. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina. Fil: Russo, Mara. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina. Fil: Nachtigall, Fabiane Manke. Instituto de Ciencias Químicas Aplicadas, Universidad Autónoma de Chile; Chile. Fil: Baumeister, Elsa. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología; Argentina. |
URI: | http://sgc.anlis.gob.ar/handle/123456789/1756 | ISSN: | 0166-0934 | DOI: | 10.1016/j.jviromet.2020.113991 | Rights: | Open Access Creative Commons Attribution 4.0 International License |
Appears in Collections: | Publicaciones INEI |
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10.1016_j.jviromet.2020.113991.pdf | Artículo en Inglés | 2 MB | Adobe PDF | View/Open |
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