Evidence map›Paper›PMID 35577791›Full record

ArticleScientific reports2022

Development of a new antigen-based microarray platform for screening and detection of human IgG antibodies against SARS-CoV-2.

Sindy Burgold-Voigt, Elke Müller, David Zopf, Stefan Monecke, Sascha D Braun, Katrin Frankenfeld, Michael Kiehntopf, Sebastian Weis, Thomas Schumacher, Mathias W Pletz and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

12 authors at 5 institutions in 1 country.

Sindy Burgold-VoigtLeibniz-Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany. sindy.burgold-voigt@leibniz-ipht.de.
Elke MüllerLeibniz-Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.
David ZopfLeibniz-Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.
Stefan MoneckeLeibniz-Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.
Sascha D BraunLeibniz-Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.
Katrin FrankenfeldINTER-ARRAY, Research Center for Medical Technology and Biotechnology (fzmb GmbH), Bad Langensalza, Germany.
Michael KiehntopfInstitute for Clinical Chemistry and Laboratory Diagnostics and Integrated Biobank Jena (IBBJ), Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany.
Sebastian WeisInstitute for Infectious Diseases and Infection Control, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany.
Thomas SchumacherInstitut Virion\Serion GmbH, Würzburg, Germany.
Mathias W PletzInstitute for Infectious Diseases and Infection Control, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany.
Ralf EhrichtLeibniz-Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.
CoNAN Study Group
Jena University Hospital · DELeibniz Institute of Photonic Technology · DETechnische Universität Ilmenau · DEInstitut Virion\Serion · DEResearch Centre of Medical Technology and Biotechnology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Strategies to contain the current SARS-CoV-2 pandemic rely, beside vaccinations, also on molecular and serological testing. For any kind of assay development, screening for the optimal antigen is essential. Here we describe the verification of a new protein microarray with different commercially available preparations significant antigens of SARS-CoV-2 that can be used for the evaluation of the performance of these antigens in serological assays and for antibody screening in serum samples. Antigens of other pathogens that are addressed by widely used vaccinations were also included. To evaluate the accuracy of 21 different antigens or antigen preparations on the microarray, receiver operating characteristics (ROC) curve analysis using ELISA results as reference were performed. Except for a single concentration, a diagnostic sensitivity of 1 was determined for all antigen preparations. A diagnostic specificity, as well as an area under the curve (AUC) of 1 was obtained for 16 of 21 antigen preparations. For the remaining five, the diagnostic specificity ranged from 0.942 to 0.981 and AUC from 0.974 to 0.999. The optimized assay was subsequently also applied to determine the immune status of previously tested individuals and/or to detect the immunization status after COVID-19 vaccination. Microarray evaluation of the antibody profiles of COVID-19 convalescent and post vaccination sera showed that the IgG response differed between these groups, and that the choice of the test antigen is crucial for the assay performance. Furthermore, the results showed that the immune response is highly individualized, depended on several factors (e.g., age or sex), and was not directly related to the severity of disease. The new protein microarray provides an ideal method for the parallel screening of many different antigens of vaccine-preventable diseases in a single sample and for reliable and meaningful diagnostic tests, as well as for the development of safe and specific vaccines.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralCOVID-19 VaccinesHumansImmunoglobulin GSensitivity and SpecificityAntibodies, ViralCOVID-19 VaccinesImmunoglobulin G

Identifiers

PMID35577791
PMCPMC9109672
OpenAlexW4280535402

What OpenQuestion holds

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LicenceCC BY
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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.