Evidence map›Paper›PMID 41407979›Full record

ArticleThe AAPS journal2025

Implementing Synthetic Multi-Transmembrane Receptor Protein in a Duplex Immunoassay for Assessment of Neutralizing Antibody to a Bispecific Biotherapeutic.

Bonnie Wu, James Devlin, Megan Schnarr, Yingbiao Ji, Biwei Zhao, Yong Jiang, Tong-Yuan Yang

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Article in The AAPS journal, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bonnie WuBioanalytical Discovery and Development Sciences, Johnson & Johnson, 1400 McKean Rd, Spring House, PA, 19477, USA. bwu23@its.jnj.com.ORCID 0000-0003-3606-4420
James DevlinBioanalytical Discovery and Development Sciences, Johnson & Johnson, 1400 McKean Rd, Spring House, PA, 19477, USA.ORCID 0009-0005-6523-4208
Megan SchnarrBioanalytical Discovery and Development Sciences, Johnson & Johnson, 1400 McKean Rd, Spring House, PA, 19477, USA.ORCID 0009-0003-6785-6073
Yingbiao JiFrontage Laboratories, 700 Pennsylvania Dr , Exton, PA, 19341, USA.ORCID 0000-0001-8266-9178
Biwei ZhaoFrontage Laboratories, 700 Pennsylvania Dr , Exton, PA, 19341, USA.ORCID 0009-0005-6139-2735
Yong JiangBioanalytical Discovery and Development Sciences, Johnson & Johnson, 1400 McKean Rd, Spring House, PA, 19477, USA.ORCID 0000-0002-4892-3563
Tong-Yuan YangBioanalytical Discovery and Development Sciences, Johnson & Johnson, 1400 McKean Rd, Spring House, PA, 19477, USA.ORCID 0000-0003-2197-2928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of multi-specific biotherapeutics has revolutionized targeted therapy by simultaneously engaging multiple receptors or pathways, thereby enhancing therapeutic efficacy and specificity. However, evaluating the immunogenic potential of these complex molecules remains a significant challenge, particularly in the reliable detection of neutralizing antibodies (NAbs). To support the development of a bispecific biotherapeutic, we initially established a cell-based bioassay utilizing a cytotoxicity assay platform for NAb assessment. This traditional approach faced significant limitations due to severely limited drug tolerance which prevented accurate NAb classification. To address this hurdle, we developed a non-cell based competitive ligand binding (CLB) assay. The primary obstacle was the multi-transmembrane receptor target, which lacks a soluble form suitable for conventional immunoassays. We successfully addressed this challenge by leveraging a novel synthetic version of the multi-transmembrane receptor as the surrogate target. This enabled the development of a duplex competitive ligand binding assay utilizing a homogeneous bead-based AlphaLISA™ assay platform. This innovative duplex NAb assay significantly increased drug tolerance by at least 170-fold when compared to the cell-based assay, enabling sensitive and specific detection of NAb against each drug target binding domain. The AlphaLISA™ based CLB NAb exhibited negligible matrix interference and generated excellent intra-assay and inter-assay precision, with data concordant across different reagent lots and plate readers. Our results demonstrate that the AlphaLISA™ assay platform offers a robust, sensitive, and drug-tolerant alternative to traditional cell-based NAb assays. This approach provides a superior solution for assessment of NAb against multi-specific biotherapeutics targeting multi-transmembrane receptors.

Indexed as

Antibodies, BispecificAntibodies, NeutralizingAnimalsBinding, CompetitiveHumansImmunoassayLigandsAntibodies, BispecificAntibodies, NeutralizingLigandsAlphaLISA™Bispecific biotherapeuticCell-based assayCompetitive ligand binding (CLB) assayDuplex NAb assayNanodiscNeutralizing antibody (NAb)

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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.