Evidence map›Paper›PMID 42030071›Full record

ArticleThe Journal of general virology2026

Broadly neutralizing monoclonal antibodies derived from mRNA LNP immunization exhibit potent neutralizing ability against JN.1, KP.3.1.1 and XEC new Omicron variants.

Hsiao-Ling Chiang, Hsiu-Ting Lin, Wan-Yu Chen, Kang-Hao Liang, Ruei-Min Lu, Han-Chung Wu

Abstract read
In one paragraph

Article in The Journal of general virology, 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
–field-weighted citation impact
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

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

6 authors.

Hsiao-Ling ChiangBiomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan, ROC.
Hsiu-Ting LinInstitute of Cellular and Organismic Biology, Academia Sinica, Taipei, 11529, Taiwan, ROC.
Wan-Yu ChenInstitute of Cellular and Organismic Biology, Academia Sinica, Taipei, 11529, Taiwan, ROC.
Kang-Hao LiangBiomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan, ROC.
Ruei-Min LuBiomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan, ROC.
Han-Chung WuBiomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan, ROC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the emergence of severe acute respiratory syndrome coronavirus 2 Omicron, dramatic changes in the receptor-binding domain have allowed for virus escape from many therapeutic antibodies. Development of antibodies effective against current viral strains is, therefore, necessary to provide useful clinical treatments and can also yield fundamental information about viral neutralization. Here, we utilized single B-cell antibody technology to isolate and characterize neutralizing antibodies from splenocytes of mice immunized with mRNA-LNPs. With this approach, we identified five BA.5 and four XBB.1.5 neutralizing chimeric antibodies (ChAbs). The identified ChAbs, BA.5-ChAb-41, XBB.1.5-ChAb-17 and XBB.1.5-ChAb-26, each potently neutralized BA.5, XBB.1.5 and JN.1 pseudotype viruses with low IC

Indexed as

Antibodies, MonoclonalBroadly Neutralizing AntibodiesLiposomesNanoparticlesRNA, MessengerSARS-CoV-2Spike Glycoprotein, CoronavirusAmino Acid SubstitutionAnimalsEpitope MappingFemaleHEK293 CellsHumansImmunizationMiceMice, Inbred BALB CAntibodies, MonoclonalBroadly Neutralizing AntibodiesLipid NanoparticlesLiposomesRNA, MessengerSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2BA.5neutralizing antibodysevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)single B-cell antibody technologyXBB.1.5XEC

Identifiers

PMID42030071
PMCPMC13131021

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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.