Rapid and sensitive detection of SARS-CoV-2 infection using quantitative peptide enrichment LC-MS analysis.
COVID-19
/ diagnosis
Chromatography, Liquid
/ methods
Humans
Linear Models
Mass Spectrometry
/ methods
Molecular Diagnostic Techniques
/ methods
Nasopharynx
/ virology
Peptide Fragments
/ analysis
Proteomics
Reproducibility of Results
SARS-CoV-2
/ chemistry
Sensitivity and Specificity
Viral Proteins
/ analysis
COVID-19
SARS CoV-2
SISCAPA
diagnostics
human
immunology
infectious disease
inflammation
mass spectrometry
microbiology
proteomics
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
08 11 2021
08 11 2021
Historique:
received:
31
05
2021
accepted:
04
11
2021
pubmed:
9
11
2021
medline:
15
12
2021
entrez:
8
11
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34747696
doi: 10.7554/eLife.70843
pii: 70843
pmc: PMC8626084
doi:
pii:
Substances chimiques
Peptide Fragments
0
Viral Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2021, Hober et al.
Déclaration de conflit d'intérêts
AH, KT, MU, JA, LE, FE No competing interests declared, DF, TM, JV, RP, SF, SH, IB, AB, LC employed by Waters Corporation, MR, RY, MP, TP, LA employed by SISCAPA Assay Technologies
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