Evidence map›Paper›PMID 36672668›Full record

ArticleBiomedicines2023

Bioinformatical Design and Performance Evaluation of a Nucleocapsid- and an RBD-Based Particle Enhanced Turbidimetric Immunoassay (PETIA) to Quantify the Wild Type and Variants of Concern-Derived Immunoreactivity of SARS-CoV-2.

Leoni Wey, Thomas Masetto, Alexander Spaeth, Jessica Brehm, Christian Kochem, Marco Reinhart, Holger Müller, Uwe Kempin, Franziska Lorenz, Christoph Peter and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

11 authors at 4 institutions in 1 country.

Leoni WeyDiaSys Diagnostic Systems GmbH, Alte Str. 9, 65558 Holzheim, Germany.ORCID 0000-0002-2172-250X
Thomas MasettoDiaSys Diagnostic Systems GmbH, Alte Str. 9, 65558 Holzheim, Germany.ORCID 0000-0001-9609-3405
Alexander SpaethMVZ Medizinische Labore Dessau Kassel GmbH, Bauhüttenstr. 6, 06847 Dessau-Roßlau, Germany.
Jessica BrehmMVZ Medizinische Labore Dessau Kassel GmbH, Bauhüttenstr. 6, 06847 Dessau-Roßlau, Germany.
Christian KochemDiaSys Diagnostic Systems GmbH, Alte Str. 9, 65558 Holzheim, Germany.
Marco ReinhartGfA GmbH, Allgäuer Str. 1, 87459 Pfronten, Germany.ORCID 0000-0001-6745-9500
Holger MüllerDiaSys Diagnostic Systems GmbH, Alte Str. 9, 65558 Holzheim, Germany.
Uwe Kempinpes Medizinische Diagnosesysteme GmbH, Hauptstr. 103, 04416 Markkleeberg, Germany.
Franziska LorenzMVZ Medizinische Labore Dessau Kassel GmbH, Bauhüttenstr. 6, 06847 Dessau-Roßlau, Germany.
Christoph PeterInstitut für Molekulare Medizin I, Heinrich-Heine-Universität, Universitätsstr. 1, 40225 Düsseldorf, Germany.ORCID 0000-0002-0048-2279
Matthias GrimmlerDiaSys Diagnostic Systems GmbH, Alte Str. 9, 65558 Holzheim, Germany.ORCID 0000-0003-2860-3391
Städtisches Klinikum Dessau · DEHeinrich Heine University Düsseldorf · DEHochschule Fresenius · DESt. Vinzenz Kliniken Pfronten im Allgäu · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since SARS-CoV-2 emerged in December 2019 in Wuhan, the resulting pandemic has paralyzed the economic and cultural life of the world. Variants of concern (VOC) strongly increase pressure on public health systems. Rapid, easy-to-use, and cost-effective assays are essential to manage the pandemic. Here we present a bioinformatical approach for the fast and efficient design of two innovative serological Particle Enhanced Turbidimetric Immunoassays (PETIA) to quantify the SARS-CoV-2 immunoresponse. To confirm bioinformatical assumptions, an S-RBD- and a Nucleocapsid-based PETIA were produced. Sensitivity and specificity were compared for 95 patient samples using a BioMajesty™ fully automated analyzer. The S-RBD-based PETIA showed necessary specificity (98%) over the N protein-based PETIA (21%). Further, the reactivity and cross-reactivity of the RBD-based PETIA towards variant-derived antibodies of SARS-CoV-2 were assessed by a quenching inhibition test. The inhibition kinetics of the S-RBD variants

Indexed as

COVID-19N proteinperformance evaluationPETIASARS-CoV-2S-RBDVOC

Identifiers

PMID36672668
PMCPMC9855841
OpenAlexW4313825762

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.