Evidence map›Paper›PMID 37409816›Full record

ArticlemSphere2023

Development of monoclonal antibody-based blocking ELISA for detecting SARS-CoV-2 exposure in animals.

Fangfeng Yuan, Chi Chen, Lina M Covaleda, Mathias Martins, Jennifer M Reinhart, Drew R Sullivan, Diego G Diel, Ying Fang

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Fangfeng Yuan *Department of Pathobiology, College of Veterinary Medicine, University of Illinois at Urbana-Champaign , Urbana, Illinois, USA.ORCID 0000-0001-9310-0382
Chi Chen *Department of Pathobiology, College of Veterinary Medicine, University of Illinois at Urbana-Champaign , Urbana, Illinois, USA.ORCID 0009-0004-3662-0006
Lina M CovaledaDepartment of Population Medicine and Diagnostic Sciences, Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University , Ithaca, New York, USA.
Mathias MartinsDepartment of Population Medicine and Diagnostic Sciences, Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University , Ithaca, New York, USA.ORCID 0000-0002-8290-5756
Jennifer M ReinhartDepartment of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign , Urbana, Illinois, USA.
Drew R SullivanDepartment of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign , Urbana, Illinois, USA.
Diego G DielDepartment of Population Medicine and Diagnostic Sciences, Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University , Ithaca, New York, USA.ORCID 0000-0003-3237-8940
Ying FangDepartment of Pathobiology, College of Veterinary Medicine, University of Illinois at Urbana-Champaign , Urbana, Illinois, USA.ORCID 0000-0002-3289-3654
University of Illinois Urbana-Champaign · USCornell University · US

Funding

Novel diagnostic tools and animal model system for study human/animal interface of COVID-19R01AI166791 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI DIEL, DIEGO G, FANG, YING · 2021 to 2024
$3.1M
NIAID NIH HHS R01 AI166791
6 · The paper itself

Abstract

The global pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a significant threat to public health. Besides humans, SARS-CoV-2 can infect several animal species. Highly sensitive and specific diagnostic reagents and assays are urgently needed for rapid detection and implementation of strategies for prevention and control of the infection in animals. In this study, we initially developed a panel of monoclonal antibodies (mAbs) against SARS-CoV-2 nucleocapsid protein. To detect SARS-CoV-2 antibodies in a broad spectrum of animal species, an mAb-based blocking enzyme-linked immunosorbent assay (bELISA) was developed. Test validation using a set of animal serum samples with known infection status obtained an optimal percentage of inhibition cut-off value of 17.6% with diagnostic sensitivity of 97.8% and diagnostic specificity of 98.9%. The assay demonstrates high repeatability as determined by a low coefficient of variation (7.23%, 4.89%, and 3.16%) between-runs, within-run, and within-plate, respectively. Testing of samples collected over time from experimentally infected cats showed that the bELISA was able to detect seroconversion as early as 7 days post-infection. Subsequently, the bELISA was applied for testing pet animals with coronavirus disease 2019 (COVID-19)-like symptoms and specific antibody responses were detected in two dogs. The panel of mAbs generated in this study provides a valuable tool for SARS-CoV-2 diagnostics and research. The mAb-based bELISA provides a serological test in aid of COVID-19 surveillance in animals. IMPORTANCE Antibody tests are commonly used as a diagnostic tool for detecting host immune response following infection. Serology (antibody) tests complement nucleic acid assays by providing a history of virus exposure, no matter symptoms developed from infection or the infection was asymptomatic. Serology tests for COVID-19 are in high demand, especially when the vaccines become available. They are important to determine the prevalence of the viral infection in a population and identify individuals who have been infected or vaccinated. ELISA is a simple and practically reliable serological test, which allows high-throughput implementation in surveillance studies. Several COVID-19 ELISA kits are available. However, they are mostly designed for human samples and species-specific secondary antibody is required for indirect ELISA format. This paper describes the development of an all species applicable monoclonal antibody (mAb)-based blocking ELISA to facilitate the detection and surveillance of COVID-19 in animals.

Indexed as

COVID-19SARS-CoV-2AnimalsAntibodies, MonoclonalDogsEnzyme-Linked Immunosorbent AssayHumansSensitivity and SpecificityAntibodies, MonoclonalbELISAmonoclonal antibodynucleocapsidSARS-CoV-2sera-surveillance

Identifiers

PMID37409816
PMCPMC10449516
OpenAlexW4383301878

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.