Evidence map›Paper›PMID 40295895›Full record

ArticleNpj viruses2025

Potent bivalent nanobody constructs that protect against the SARS-CoV-2 XBB variant.

Peter J Halfmann, Jeong Soo Lee, Nikki McArthur, Ojas Gupta, Yoshihiro Kawaoka, Ravi S Kane

Abstract read
In one paragraph

Article in Npj viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Peter J Halfmann *Department of Pathobiological Sciences, Influenza Research Institute, School of Veterinary Medicine, University of Wisconsin, Madison, WI, USA.
Jeong Soo Lee *School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Nikki McArthur *School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Ojas GuptaWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Yoshihiro KawaokaDepartment of Pathobiological Sciences, Influenza Research Institute, School of Veterinary Medicine, University of Wisconsin, Madison, WI, USA. yoshihiro.kawaoka@wisc.edu.
Ravi S KaneSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA. ravi.kane@chbe.gatech.edu.

Funding

PanCorVac (Center for Pan-Coronavirus Vaccine Development)P01AI165077 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI KAWAOKA, YOSHIHIRO · 2021 to 2023
$11.6M
National Institutes for Health P01AI165077National Science Foundation DGE-2039655NIAID NIH HHS P01 AI165077
6 · The paper itself

Abstract

Most antibody-based therapeutics approved for SARS-CoV-2 treatment have shown greatly reduced neutralization activity against emerging Omicron variants. To target recent Omicron variants, we developed XBB-specific antibody-like therapeutics by screening a yeast surface-displayed single-domain antibody library against the receptor binding domain of the XBB spike protein. Three lead nanobodies, XNb 4.13, XNb 4.14, and XNb 4.15, were selected based on their binding affinity to the XBB spike protein and were fused to a mouse Fc domain. While all three constructs showed sub-nanomolar binding affinities to the XBB S protein, XNb 4.13-Fc and XNb 4.14-Fc also neutralized XBB in vitro. Intraperitoneal injection of XNb 4.13-Fc and XNb 4.14-Fc and intranasal delivery of XNb 4.13-Fc protected transgenic mice from a challenge with XBB virus with a significant reduction in viral lung titers post-infection. These antibody-like constructs identified using yeast surface display have potential as therapeutics that can protect against SARS-CoV-2 XBB variants.

Identifiers

PMID40295895
PMCPMC11906887

What OpenQuestion holds

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Registered trials

None linked

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.