Evidence map›Paper›PMID 37537537›Full record

ArticleClinical proteomics2023

Identification of SARS-CoV-2 biomarkers in saliva by transcriptomic and proteomics analysis.

Lina M Marin, George S Katselis, Paulos Chumala, Stephen Sanche, Lucas Julseth, Erika Penz, Robert Skomro, Walter L Siqueira

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 1 institution in 1 country.

Lina M MarinCollege of Dentistry, University of Saskatchewan, Saskatoon, SK, S7N 5E5, Canada.
George S KatselisCanadian Centre for Health and Safety in Agriculture, Department of Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK, S7N 2Z4, Canada.
Paulos ChumalaCanadian Centre for Health and Safety in Agriculture, Department of Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK, S7N 2Z4, Canada.
Stephen SancheDivision of Infectious Diseases, Department of Medicine, and Department of Pathology and Laboratory Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK, S7N 0X8, Canada.
Lucas JulsethCollege of Dentistry, University of Saskatchewan, Saskatoon, SK, S7N 5E5, Canada.
Erika PenzDivision of Respirology, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK, S7N 0X8, Canada.
Robert SkomroDivision of Respirology, Critical Care and Sleep Medicine, Department of Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK, S7N 0X8, Canada.
Walter L SiqueiraCollege of Dentistry, University of Saskatchewan, Saskatoon, SK, S7N 5E5, Canada. walter.siqueira@usask.ca.
University of Saskatchewan · CA

Funding

CIHR 422941
6 · The paper itself

Abstract

The detection of SARS-CoV-2 biomarkers by real time PCR (rRT-PCR) has shown that the sensitivity of the test is negatively affected by low viral loads and the severity of the disease. This limitation can be overcome by the use of more sensitive approaches such as mass spectrometry (MS), which has not been explored for the detection of SARS-CoV-2 proteins in saliva. Thus, this study aimed at assessing the translational applicability of mass spectrometry-based proteomics approaches to identify viral proteins in saliva from people diagnosed with COVID-19 within fourteen days after the initial diagnosis, and to compare its performance with rRT-PCR. After ethics approval, saliva samples were self-collected by 42 COVID-19 positive and 16 healthy individuals. Samples from people positive for COVID-19 were collected on average on the sixth day (± 4 days) after initial diagnosis. Viable viral particles in saliva were heat-inactivated followed by the extraction of total proteins and viral RNA. Proteins were digested and then subjected to tandem MS analysis (LC-QTOF-MS/MS) using a data-dependent MS/MS acquisition qualitative shotgun proteomics approach. The acquired spectra were queried against a combined SARS-CoV-2 and human database. The qualitative detection of SARS-CoV-2 specific RNA was done by rRT-PCR. SARS-CoV-2 proteins were identified in all COVID-19 samples (100%), while viral RNA was detected in only 24 out of 42 COVID-19 samples (57.1%). Seven out of 18 SARS-CoV-2 proteins were identified in saliva from COVID-19 positive individuals, from which the most frequent were replicase polyproteins 1ab (100%) and 1a (91.3%), and nucleocapsid (45.2%). Neither viral proteins nor RNA were detected in healthy individuals. Our mass spectrometry approach appears to be more sensitive than rRT-PCR for the detection of SARS-CoV-2 biomarkers in saliva collected from COVID-19 positive individuals up to 14 days after the initial diagnostic test. Based on the novel data presented here, our MS technology can be used as an effective diagnostic test of COVID-19 for initial diagnosis or follow-up of symptomatic cases, especially in patients with reduced viral load.

Indexed as

BiomarkersMass spectrometryPeptidesProteinsProteomicsReal-time RT-PCRSalivaSARS-CoV-2Transcriptomics

Identifiers

PMID37537537
PMCPMC10398966
OpenAlexW4385549658

What OpenQuestion holds

Textmetadata
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.