Evidence map›Paper›PMID 34686148›Full record

ArticleClinical proteomics2021

A SISCAPA-based approach for detection of SARS-CoV-2 viral antigens from clinical samples.

Kiran K Mangalaparthi, Sandip Chavan, Anil K Madugundu, Santosh Renuse, Patrick M Vanderboom, Anthony D Maus, Jennifer Kemp, Benjamin R Kipp, Stefan K Grebe, Ravinder J Singh and 1 more

Erratum issuedAbstract readLetter
In one paragraph

Article in Clinical proteomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. A Targeted LC-MRMMolecular & cellular proteomics : MCP · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. CovAnalytical chemistry · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kiran K Mangalaparthi *Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA.
Sandip Chavan *Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA.
Anil K MadugunduDepartment of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA.
Santosh RenuseDepartment of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA.
Patrick M VanderboomDepartment of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA.
Anthony D MausDepartment of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA.
Jennifer KempDepartment of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA.
Benjamin R KippDepartment of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, Mayo Clinic, Rochester, MN, 55905, USA.
Stefan K GrebeDepartment of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA.
Ravinder J SinghDepartment of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA.
Akhilesh PandeyDepartment of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, MN, 55905, USA. pandey.akhilesh@mayo.edu.ORCID http://orcid.org/0000-0001-9943-6127

Funding

The Wellcome Trust DBT India Alliance IA/M/15/1/502023
6 · The paper itself

Abstract

SARS-CoV-2, a novel human coronavirus, has created a global disease burden infecting > 100 million humans in just over a year. RT-PCR is currently the predominant method of diagnosing this viral infection although a variety of tests to detect viral antigens have also been developed. In this study, we adopted a SISCAPA-based enrichment approach using anti-peptide antibodies generated against peptides from the nucleocapsid protein of SARS-CoV-2. We developed a targeted workflow in which nasopharyngeal swab samples were digested followed by enrichment of viral peptides using the anti-peptide antibodies and targeted parallel reaction monitoring (PRM) analysis using a high-resolution mass spectrometer. This workflow was applied to 41 RT-PCR-confirmed clinical SARS-CoV-2 positive nasopharyngeal swab samples and 30 negative samples. The workflow employed was highly specific as none of the target peptides were detected in negative samples. Further, the detected peptides showed a positive correlation with the viral loads as measured by RT-PCR Ct values. The SISCAPA-based platform described in the current study can serve as an alternative method for SARS-CoV-2 viral detection and can also be applied for detecting other microbial pathogens directly from clinical samples.

Indexed as

COVID-19Mass spectrometryParallel reaction monitoring (PRM)SARS-CoV-2SISCAPA

Identifiers

PMID34686148
PMCPMC8532087

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Registered trials

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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.