Evidence map›Paper›PMID 34762662›Full record

ArticlePloS one2021

Targeted proteomics as a tool to detect SARS-CoV-2 proteins in clinical specimens.

Karel Bezstarosti, Mart M Lamers, Wouter A S Doff, Peter C Wever, Khoa T D Thai, Jeroen J A van Kampen, Bart L Haagmans, Jeroen A A Demmers

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  8. CovAnalytical chemistry · 2022
    Article
  9. Advances in rapid detection of SARS-CoV-2 by mass spectrometry.Trends in analytical chemistry : TRAC · 2022
    Review
  10. Article
  11. Review
  12. The zinc proteome of SARS-CoV-2.Metallomics : integrated biometal science · 2022
    Article
  13. Review
  14. Review
  15. Review
  16. Review
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  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Karel BezstarostiProteomics Center, Erasmus University Medical Center, Rotterdam, the Netherlands.
Mart M LamersViroscience Department, Erasmus University Medical Center, Rotterdam, the Netherlands.
Wouter A S DoffProteomics Center, Erasmus University Medical Center, Rotterdam, the Netherlands.
Peter C WeverJeroen Bosch Hospital, 's-Hertogenbosch, the Netherlands.
Khoa T D ThaiStar-shl Medical Diagnostic Center, Rotterdam, the Netherlands.ORCID 0000-0003-4872-9960
Jeroen J A van KampenViroscience Department, Erasmus University Medical Center, Rotterdam, the Netherlands.
Bart L HaagmansViroscience Department, Erasmus University Medical Center, Rotterdam, the Netherlands.
Jeroen A A DemmersProteomics Center, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0002-8757-9611
Erasmus MC · NLJeroen Bosch Ziekenhuis · NLStar Medisch Diagnostisch Centrum · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid, sensitive and specific detection of SARS-CoV-2 is critical in responding to the current COVID-19 outbreak. In this proof-of-concept study, we explored the potential of targeted mass spectrometry (MS) based proteomics for the detection of SARS-CoV-2 proteins in both research samples and clinical specimens. First, we assessed the limit of detection for several SARS-CoV-2 proteins by parallel reaction monitoring (PRM) MS in infected Vero E6 cells. For tryptic peptides of Nucleocapsid protein, the limit of detection was estimated to be in the mid-attomole range (9E-13 g). Next, this PRM methodology was applied to the detection of viral proteins in various COVID-19 patient clinical specimens, such as sputum and nasopharyngeal swabs. SARS-CoV-2 proteins were detected in these samples with high sensitivity in all specimens with PCR Ct values <24 and in several samples with higher CT values. A clear relationship was observed between summed MS peak intensities for SARS-CoV-2 proteins and Ct values reflecting the abundance of viral RNA. Taken together, these results suggest that targeted MS based proteomics may have the potential to be used as an additional tool in COVID-19 diagnostics.

Indexed as

ProteomicsAnimalsChlorocebus aethiopsCOVID-19HumansMass SpectrometryNucleocapsidPhosphoproteinsProteomeSARS-CoV-2SputumVero CellsViral ProteinsPhosphoproteinsProteomeViral Proteins

Identifiers

PMID34762662
PMCPMC8584957
OpenAlexW3212648179

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.