Rapid and sensitive detection of SARS-CoV-2 infection using quantitative peptide enrichment LC-MS analysisShow others and affiliations
2021 (English)In: eLIFE, E-ISSN 2050-084X, Vol. 10, article id e70843
Article in journal (Refereed) Published
Abstract [en]
Reliable, robust, large-scale molecular testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for monitoring the ongoing coronavirus disease 2019 (COVID-19) pandemic. We have developed a scalable analytical approach to detect viral proteins based on peptide immuno-affinity enrichment combined with liquid chromatography-mass spectrometry (LC-MS). This is a multiplexed strategy, based on targeted proteomics analysis and read-out by LC-MS, capable of precisely quantifying and confirming the presence of SARS-CoV-2 in phosphate-buffered saline (PBS) swab media from combined throat/nasopharynx/saliva samples. The results reveal that the levels of SARS-CoV-2 measured by LC-MS correlate well with their correspondingreal-time polymerase chain reaction (RT-PCR) read-out (r = 0.79). The analytical workflow shows similar turnaround times as regular RT-PCR instrumentation with a quantitative read-out of viral proteins corresponding to cycle thresholds (Ct) equivalents ranging from 21 to 34. Using RT-PCR as a reference, we demonstrate that the LC-MS-based method has 100% negative percent agreement (estimated specificity) and 95% positive percent agreement (estimated sensitivity) when analyzing clinical samples collected from asymptomatic individuals with a Ct within the limit of detection of the mass spectrometer (Ct <= 30). These results suggest that a scalable analytical method based on LC-MS has a place in future pandemic preparedness centers to complement current virus detection technologies.
Place, publisher, year, edition, pages
eLIFE SCIENCES PUBL LTD , 2021. Vol. 10, article id e70843
Keywords [en]
SARS CoV-2, COVID-19, SISCAPA, proteomics, diagnostics, mass spectrometry, Human
National Category
Infectious Medicine
Identifiers
URN: urn:nbn:se:kth:diva-306455DOI: 10.7554/eLife.70843ISI: 000723865100001PubMedID: 34747696Scopus ID: 2-s2.0-85120041769OAI: oai:DiVA.org:kth-306455DiVA, id: diva2:1621122
Note
See also peer review documents at DOI 10.7554/eLife.70843.sa0 10.7554/eLife.70843.sa1 10.7554/eLife.70843.sa2
QC 20211217
2021-12-172021-12-172023-12-07Bibliographically approved
In thesis