Evidence map›Paper›PMID 24747146›Full record

ArticleJournal of pharmaceutical and biomedical analysis2014

Development of a surface display ELISA to detect anti-IgG antibodies against bovine αS1-casein in human sera.

Thorsten Saenger, Achim Braukmann, Stefan Vordenbäumen, Irina Altendorfer, Ellen Bleck, Heidrun Hochwallner, Rudolf Valenta, Matthias Schneider, Joachim Jose

Open access · greenAbstract readComparative StudyValidation Study
In one paragraph

Article in Journal of pharmaceutical and biomedical analysis, 2014. 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
0.5field-weighted citation impact, top 35% 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, 7 citations in OpenAlex.

  1. Article
  2. Structural Analysis of Breast-Milk αInternational journal of molecular sciences · 2024
    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

9 authors at 3 institutions in 2 countries.

Thorsten SaengerInstitute of Pharmaceutical and Medicinal Chemistry, PharmaCampus, Westfälische Wilhelms-University Münster, Corrensstr. 48, 48149 Münster, Germany. Electronic address: thorsten.saenger@uni-muenster.de.
Achim BraukmannInstitute of Pharmaceutical and Medicinal Chemistry, PharmaCampus, Westfälische Wilhelms-University Münster, Corrensstr. 48, 48149 Münster, Germany. Electronic address: a.braukmann@uni-muenster.de.
Stefan VordenbäumenHeinrich-Heine-University, Department of Rheumatology, Moorenstr. 5, 40225 Düsseldorf, Germany. Electronic address: Stefan.Vordenbaeumen@med.uni-duesseldorf.de.
Irina AltendorferInstitute of Pharmaceutical and Medicinal Chemistry, PharmaCampus, Westfälische Wilhelms-University Münster, Corrensstr. 48, 48149 Münster, Germany. Electronic address: irina.altendorfer@uni-duesseldorf.de.
Ellen BleckHeinrich-Heine-University, Department of Rheumatology, Moorenstr. 5, 40225 Düsseldorf, Germany. Electronic address: Bleck@med.uni-duesseldorf.de.
Heidrun HochwallnerDivision of Immunopathology, Department of Pathophysiology and Allergy Research, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria. Electronic address: heidrun.hochwallner@meduniwien.ac.at.
Rudolf ValentaDivision of Immunopathology, Department of Pathophysiology and Allergy Research, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria. Electronic address: Rudolf.valenta@meduniwien.ac.at.
Matthias SchneiderHeinrich-Heine-University, Department of Rheumatology, Moorenstr. 5, 40225 Düsseldorf, Germany. Electronic address: Matthias.Schneider@med.uni-duesseldorf.de.
Joachim JoseInstitute of Pharmaceutical and Medicinal Chemistry, PharmaCampus, Westfälische Wilhelms-University Münster, Corrensstr. 48, 48149 Münster, Germany. Electronic address: joachim.jose@uni-muenster.de.
University of Münster · DEHeinrich Heine University Düsseldorf · DEMedical University of Vienna · AT

Funding

Austrian Science Fund FWF P 25921
6 · The paper itself

Abstract

The aim of the present study was to develop a surface display ELISA (SD-ELISA) for IgG-serum reaction against bovine casein αS1 (CSN1S1). In a SD-ELISA, the antigen is displayed on the surface of Escherichia coli using the autodisplay technology and whole cells of E. coli are used to coat the microplates for serum testing. After establishing the setup of the SD-ELISA with polyclonal rabbit antiserum against bovine CSN1S1, the SD-ELISA was validated with 20 human sera, of which 10 sera were proven to have an IgG-mediated reaction against bovine CSN1S1 and 10 sera were shown to be negative for this reaction. Receiver operating characteristics (ROC) analysis revealed sensitivity of 100% and a specificity of 100% at a cut-off value of 0.133. Furthermore, human serum of 48 patients with known reactivity against human CSN1S1 (31 positive and 17 negative) was examined by the newly developed SD-ELISA to exclude cross-reactivity. Twenty human sera showed an IgG-mediated reaction against bovine CSN1S1. Eleven of these sera were positive for the reactivity against human CSN1S1, and nine were negative. In conclusion it was demonstrated that the performance of SD-ELISA is comparable to established ELISA without loss in sensitivity or specificity. Based on the advantages of this method - in particular no need for time-consuming and expensive antigen production and purification - the SD-ELISA is a potent alternative to convenient methods for identification and especially high-throughput screening of new antigens in the field of food allergies.

Indexed as

AnimalsAntibodiesAntigensCaseinsCattleEnzyme-Linked Immunosorbent AssayEscherichia coliHumansImmunoglobulin GRabbitsSensitivity and SpecificityAntibodiesAntigensCaseinsImmunoglobulin GAutodisplayBovine caseinHuman αs1-caseinIgG-mediated cross-reactivitySD-ELISA

Identifiers

PMID24747146
PMCPMC4415149
OpenAlexW2036651610

What OpenQuestion holds

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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.