Evidence map›Paper›PMID 41399870›Full record

ArticleBioanalysis2025

Addressing nonspecific interactions in a Gyrolab anti-drug antibody (ADA) assay: a case study on method optimization to improve repeatability.

Eliza Kęsy-Siwik, John Chappell, Dorota Jaros, Małgorzata Urbaniak, Agata Sakowicz

Abstract read
In one paragraph

Article in Bioanalysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Eliza Kęsy-SiwikResearch and Development Department, Mabion S.A., Konstantynów Łódzki, Poland.ORCID 0000-0001-5126-7336
John ChappellSenior Global Scientific Support, Gyros Protein Technologies AB, Uppsala, Sweden.ORCID 0009-0002-1685-5241
Dorota JarosRegulatory and Validation Division, Mabion S.A., Konstantynów Łódzki, Poland.
Małgorzata UrbaniakDepartment of Medical Biotechnology, Medical University of Lodz, Łódź, Poland.
Agata SakowiczDepartment of Medical Biotechnology, Medical University of Lodz, Łódź, Poland.ORCID 0000-0002-5083-2046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAnti-drug antibodies (ADAs) can impact drug efficacy and safety, necessitating sensitive and drug-tolerant assays for accurate detection. The main goal of the study was re-optimization of the Gyrolab immunoassay intended to detect ADAs against MabionCD20 (rituximab biosimilar) in rheumatoid arthritis patient serum. The study focused on eliminating a nonspecific interaction that impacted assay repeatability.

resultsThe nonspecific interactions were mitigated by evaluating numerous method modification strategies including additional washing steps, increasing buffer ionic strength, and step-by-step modification of the assay protocol to isolate the one responsible for the observed issue. Reducing molarity and increasing pH of neutralization buffer resulted in elimination of unwanted interactions between assay components and effectively improved assay performance in repeatability and drug tolerance parameters, supporting the assay's suitability for validation.

conclusionCareful optimization of assay conditions, particularly buffer composition and pH successfully resolved issues related to the nonspecific interactions and enhanced assay robustness. Optimized Gyrolab-based immunoassay provided a reliable method for ADA detection, supporting immunogenicity assessment in a clinical development program.

Indexed as

AntibodiesRituximabArthritis, RheumatoidHumansHydrogen-Ion ConcentrationImmunoassayReproducibility of ResultsAntibodiesRituximabanti-drug antibody (ADA)GyrolabImmunogenicityMabionCD20precision

Identifiers

PMID41399870
PMCPMC12867371

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