Evidence map›Paper›PMID 40070838›Full record

ArticleFrontiers in immunology2025

In-depth immunochemical characterization of the serum antibody response using a dual-titration microspot assay.

Ágnes Kovács, Zoltán Hérincs, Krisztián Papp, Jakub Zbigniew Kaczmarek, Daniel Nyberg Larsen, Pernille Stage, László Bereczki, Eszter Ujhelyi, Tamás Pfeil, József Prechl

Abstract read
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Article in Frontiers in immunology, 2025. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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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

10 authors.

Ágnes Kovács *Department of Biostatistics, University of Veterinary Medicine Budapest, Budapest, Hungary.
Zoltán Hérincs *R&D Laboratory, Diagnosticum Zrt, Budapest, Hungary.
Krisztián Papp *R&D Laboratory, Diagnosticum Zrt, Budapest, Hungary.
Jakub Zbigniew KaczmarekResearch and Development Department, Ovodan Biotech A/S, Odense, Denmark.
Daniel Nyberg LarsenResearch and Development Department, Ovodan Biotech A/S, Odense, Denmark.
Pernille StageResearch and Development Department, Ovodan Biotech A/S, Odense, Denmark.
László BereczkiG1 Labordiagnosztikai Kft, Budapest, Hungary.
Eszter UjhelyiG1 Labordiagnosztikai Kft, Budapest, Hungary.
Tamás PfeilDepartment of Applied Analysis and Computational Mathematics, Eötvös Loránd University, Budapest, Hungary.
József PrechlR&D Laboratory, Diagnosticum Zrt, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antigen specific humoral immunity can be characterized by the analysis of serum antibodies. While serological assays for the measurement of specific antibody levels are available, these are not quantitative in the biochemical sense. Yet, understanding humoral immune responses quantitatively on the systemic level would need a universal, complete, quantitative, comparable measurement method of antigen specific serum antibodies of selected immunoglobulin classes. Here we describe a fluorescent, dual-titration immunoassay, which provides the biochemical parameters that are both necessary and sufficient to quantitatively characterize the humoral immune response. For validation of theory, we used recombinant receptor binding domain of SARS-CoV-2 as antigen on microspot arrays and varied the concentration of both the antigen and the serum antibodies from infected persons to obtain a measurement matrix of binding data. Both titration curves were simultaneously fitted using an algorithm based on the generalized logistic function and adapted for analyzing biochemical variables of binding. We obtained equilibrium affinity constants and concentrations for distinct antibody classes. These variables reflect the quality and the effective quantity of serum antibodies, respectively. The proposed fluorescent dual-titration microspot immunoassay can generate truly quantitative serological data that is suitable for immunological, medical and systems biological analysis.

Indexed as

Antibodies, ViralCOVID-19SARS-CoV-2Antigens, ViralHumansImmunity, HumoralImmunoassaySpike Glycoprotein, CoronavirusAntibodies, ViralAntigens, ViralSpike Glycoprotein, Coronavirusantibodychemical thermodynamicscurve fittingmicroarrayquantitative systems biologySARS-CoV-2serology

Identifiers

PMID40070838
PMCPMC11893856

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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.