Evidence map›Paper›PMID 35757714›Full record

ArticleFrontiers in immunology2022

Nucleocapsid Specific Diagnostics for the Detection of Divergent SARS-CoV-2 Variants.

Ariel Isaacs, Alberto A Amarilla, Julio Aguado, Naphak Modhiran, Eduardo A Albornoz, Alireza A Baradar, Christopher L D McMillan, Jovin J Y Choo, Adi Idris, Aroon Supramaniam and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

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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

17 authors at 2 institutions in 1 country.

Ariel IsaacsSchool of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
Alberto A AmarillaSchool of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
Julio AguadoAustralian Institute for Biotechnology and Nanotechnology, University of Queensland, St. Lucia, QLD, Australia.
Naphak ModhiranSchool of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
Eduardo A AlbornozSchool of Biomedical Sciences, Faculty of Medicine, University of Queensland, St. Lucia, QLD, Australia.
Alireza A BaradarAustralian Institute for Biotechnology and Nanotechnology, University of Queensland, St. Lucia, QLD, Australia.
Christopher L D McMillanSchool of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
Jovin J Y ChooSchool of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
Adi IdrisMenzies Health Institute Queensland, School of Pharmacy and Medical Sciences, Griffith University, Gold Coast, QLD, Australia.
Aroon SupramaniamMenzies Health Institute Queensland, School of Pharmacy and Medical Sciences, Griffith University, Gold Coast, QLD, Australia.
Nigel A J McMillanMenzies Health Institute Queensland, School of Pharmacy and Medical Sciences, Griffith University, Gold Coast, QLD, Australia.
David A MullerSchool of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
Paul R YoungSchool of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
Trent M WoodruffSchool of Biomedical Sciences, Faculty of Medicine, University of Queensland, St. Lucia, QLD, Australia.
Ernst J WolvetangAustralian Institute for Biotechnology and Nanotechnology, University of Queensland, St. Lucia, QLD, Australia.
Keith J ChappellSchool of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
Daniel WattersonSchool of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
University of Queensland · AUGriffith University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the start of the COVID-19 pandemic, multiple waves of SARS-CoV-2 variants have emerged. Of particular concern is the omicron variant, which harbors 28 mutations in the spike glycoprotein receptor binding and N-terminal domains relative to the ancestral strain. The high mutability of SARS-CoV-2 therefore poses significant hurdles for development of universal assays that rely on spike-specific immune detection. To address this, more conserved viral antigens need to be targeted. In this work, we comprehensively demonstrate the use of nucleocapsid (N)-specific detection across several assays using previously described nanobodies C2 and E2. We show that these nanobodies are highly sensitive and can detect divergent SARS-CoV-2 ancestral, delta and omicron variants across several assays. By comparison, spike-specific antibodies S309 and CR3022 only disparately detect SARS-CoV-2 variant targets. As such, we conclude that N-specific detection could provide a standardized universal target for detection of current and emerging SARS-CoV-2 variants of concern.

Indexed as

COVID-19Single-Domain AntibodiesAntibodies, MonoclonalAntibodies, NeutralizingHumansNucleocapsidNucleocapsid ProteinsPandemicsSARS-CoV-2Antibodies, MonoclonalAntibodies, NeutralizingCR3022Nucleocapsid ProteinsSingle-Domain Antibodiesdiagnosticsimmunoassaysimmunofluorescenceimmunoplaque assaynanobodynucleocapsidSARS-CoV-2

Identifiers

PMID35757714
PMCPMC9226548
OpenAlexW4281802019

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.