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

•This study with MALDI-TOF comprises, as far as we know, the first report describing the performance of this technology with COVID-19 diagnosis.•This work would encourage researchers to explore the potential of MALDI-TOF MS to assess the feasibility of this technology, as a rapid and reproducible sc...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of virological methods Ročník 286; s. 113991
Hlavní autoři:	Rocca, María Florencia, Zintgraff, Jonathan Cristian, Dattero, María Elena, Santos, Leonardo Silva, Ledesma, Martín, Vay, Carlos, Prieto, Mónica, Benedetti, Estefanía, Avaro, Martín, Russo, Mara, Nachtigall, Fabiane Manke, Baumeister, Elsa
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands Elsevier B.V 01.12.2020
Témata:	Betacoronavirus - isolation & purification Clinical Laboratory Techniques - methods Coronavirus Infections - diagnosis Coronavirus Infections - virology COVID-19 COVID-19 infection COVID-19 Testing COVID-19 Vaccines Humans Machine Learning MALDI-TOF Mass Screening - methods Mass spectrometry matrix-assisted laser desorption-ionization mass spectrometry Multivariate Analysis Nasopharynx - virology Pandemics Pneumonia, Viral - diagnosis Pneumonia, Viral - virology Real-Time Polymerase Chain Reaction SARS-CoV-2 Sensitivity and Specificity Severe acute respiratory syndrome coronavirus 2 Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods viruses COVID-19 SARS-CoV-2 MALDI-TOF Mass spectrometry Machine learning
ISSN:	0166-0934, 1879-0984, 1879-0984
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	•This study with MALDI-TOF comprises, as far as we know, the first report describing the performance of this technology with COVID-19 diagnosis.•This work would encourage researchers to explore the potential of MALDI-TOF MS to assess the feasibility of this technology, as a rapid and reproducible screening tool for diagnosis of SARS-CoV-2.•According to our preliminary results, mass spectrometry-based methods combined with multivariate analysis showed potential as a complementary diagnostic tool. 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.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors contributed equally to this work.
ISSN:	0166-0934 1879-0984 1879-0984
DOI:	10.1016/j.jviromet.2020.113991