Evidence map›Paper›PMID 35632371›Full record

ArticleSensors (Basel, Switzerland)2022

Absolute Quantitation of Serum Antibody Reactivity Using the Richards Growth Model for Antigen Microspot Titration.

Krisztián Papp, Ágnes Kovács, Anita Orosz, Zoltán Hérincs, Judit Randek, Károly Liliom, Tamás Pfeil, József Prechl

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 6 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

8 authors at 3 institutions in 1 country.

Krisztián PappR&D Laboratory, Diagnosticum Zrt, 1047 Budapest, Hungary.ORCID 0000-0003-0619-8233
Ágnes KovácsDepartment of Applied Analysis and Computational Mathematics, Eötvös Loránd University, 1117 Budapest, Hungary.
Anita OroszDepartment of Immunology, Eötvös Loránd University, 1117 Budapest, Hungary.
Zoltán HérincsR&D Laboratory, Diagnosticum Zrt, 1047 Budapest, Hungary.ORCID 0000-0001-9743-1891
Judit RandekBudapest University of Technology and Economics, 1111 Budapest, Hungary.
Károly LiliomDepartment of Biophysics and Radiation Biology, Semmelweis University, 1085 Budapest, Hungary.
Tamás PfeilDepartment of Applied Analysis and Computational Mathematics, Eötvös Loránd University, 1117 Budapest, Hungary.ORCID 0000-0001-5971-3257
József PrechlR&D Laboratory, Diagnosticum Zrt, 1047 Budapest, Hungary.ORCID 0000-0003-3859-4353
Eötvös Loránd University · HUBudapest University of Technology and Economics · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In spite of its pivotal role in the characterization of humoral immunity, there is no accepted method for the absolute quantitation of antigen-specific serum antibodies. We devised a novel method to quantify polyclonal antibody reactivity, which exploits protein microspot assays and employs a novel analytical approach. Microarrays with a density series of disease-specific antigens were treated with different serum dilutions and developed for IgG and IgA binding. By fitting the binding data of both dilution series to a product of two generalized logistic functions, we obtained estimates of antibody reactivity of two immunoglobulin classes simultaneously. These estimates are the antigen concentrations required for reaching the inflection point of thermodynamic activity coefficient of antibodies and the limiting activity coefficient of antigen. By providing universal chemical units, this approach may improve the standardization of serological testing, the quality control of antibodies and the quantitative mapping of the antibody-antigen interaction space.

Indexed as

Immunoglobulin AImmunoglobulin GAntigensAntigensImmunoglobulin AImmunoglobulin Gactivity coefficientantibodyantigenchemical potentialimmune responsemicroarraypolyclonalquantitativeRichards curveserology

Identifiers

PMID35632371
PMCPMC9147899
OpenAlexW4281489793

What Socratic 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 Socratic graph.