Evidence map›Paper›PMID 42389543›Full record

ArticleFrontiers in immunology2026

Development of bispecific antibodies with enhanced neutralization activity against tested SARS-CoV-2 Omicron subvariants.

Ching-Hsuan Hsu, Ting-Yi Chang, Ya-Min Chang, Shin-Han Lin, Tzu-Ning Chen, Keng-Hao Hsu, Jhong-Jhe You

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ching-Hsuan HsuAP Biosciences Inc., Taipei, Taiwan.
Ting-Yi ChangAP Biosciences Inc., Taipei, Taiwan.
Ya-Min ChangAP Biosciences Inc., Taipei, Taiwan.
Shin-Han LinAP Biosciences Inc., Taipei, Taiwan.
Tzu-Ning ChenAP Biosciences Inc., Taipei, Taiwan.
Keng-Hao HsuAP Biosciences Inc., Taipei, Taiwan.
Jhong-Jhe YouAP Biosciences Inc., Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic, driven by the SARS-CoV-2 virus, has posed significant global health challenges, exacerbated by the emergence of the highly mutable Omicron variant. This study explores the potential of bispecific antibodies (bsAbs) in neutralizing this variant more effectively compared to traditional monoclonal antibodies (mAbs) and their combinations. Materials and methods: A comprehensive approach was utilized involving a fully human antibody phage-display library, Omni-Mab, to identify and enrich phage clones specific to SARS-CoV-2. Recombinant spike receptor-binding domain (RBD) proteins from the Omicron variant and other strains served as antigens during the biopanning process to ensure a broad screening. Post-enrichment, the binding affinity of the antibodies to the spike proteins of various strains was rigorously evaluated. Antibodies demonstrating strong binding efficacy were strategically combined and engineered into bsAbs. The neutralizing efficacy of these bsAbs was subsequently tested using various strains of the SARS-CoV-2 pseudo-viruses. Results: Selected parental mAbs showed kinetic profiles ranging from 5.71 x 10- Conclusion: The research unveiled two highly promising bsAbs, namely, R3-1a-1/R4-1a-10 scFv and R4-21/R4-1a-51 scFv. These bsAbs showed strong binding and neutralizing activity across the tested Omicron subvariants and retained activity against selected non-Omicron pseudovirus strains evaluated in this study.

Indexed as

Antibodies, BispecificAntibodies, NeutralizingAntibodies, ViralCOVID-19SARS-CoV-2AnimalsAntibodies, MonoclonalHumansNeutralization TestsSpike Glycoprotein, CoronavirusAntibodies, BispecificAntibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2bispecific antibody (bsAb)COVID-19neutralizing antibodyOmicron strainSARS-CoV-2

Identifiers

PMID42389543
PMCPMC13318592

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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.