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MALDI-ToF protein profiling as a potential rapid diagnostic platform for COVID-19

Authors :
Pratool Bharti
Prajkta Chivte
Elizabeth R. Gaillard
Venkata Devesh Reddy Seethi
Shrihari S. Kadkol
Zane LaCasse
Joshua Bland
Source :
Journal of Mass Spectrometry and Advances in the Clinical Lab, Journal of Mass Spectrometry and Advances in the Clinical Lab, Vol 21, Iss, Pp 31-41 (2021)
Publication Year :
2021
Publisher :
THE AUTHORS. Publishing services by ELSEVIER B.V. on behalf of MSACL., 2021.

Abstract

More than a year after the COVID-19 pandemic was declared, the need still exists for accurate, rapid, inexpensive and non-invasive diagnostic methods that yield high specificity and sensitivity towards the current and newly emerging SARS-CoV-2 strains. Compared to the nasopharyngeal swabs, several studies have established saliva as a more amenable specimen type for early detection of SARS-CoV-2. Considering the limitations and high demand for COVID-19 testing, we employed MALDI-ToF mass spectrometry in the analysis of 60 gargle samples from human donors and compared the resultant spectra against COVID-19 status. Several standards, including isolated human serum immunoglobulins, and controls, such as pre-COVID-19 saliva and heat inactivated SARS-CoV-2 virus, were simultaneously analyzed to provide a relative view of the saliva and viral proteome as they would appear in this workflow. Five potential biomarker peaks were established that demonstrated high concordance with COVID-19 positive individuals. Overall, the agreement of these results with RT-qPCR testing on nasopharyngeal swabs was ≥90% for the studied cohort, which consisted of young and largely asymptomatic student athletes. From a clinical standpoint, the results from this pilot study suggest that MALDI-ToF could be used to develop a relatively rapid and inexpensive COVID-19 assay.

Details

Language :
English
ISSN :
2667145X and 26671468
Volume :
21
Database :
OpenAIRE
Journal :
Journal of Mass Spectrometry and Advances in the Clinical Lab
Accession number :
edsair.doi.dedup.....577dd0efd6335d910041863dffc117ee