Evidence map›Paper›PMID 42273265›Full record

ReviewFrontiers in veterinary science2026

Leveraging single B cell antibody platforms to develop countermeasures against animal viral diseases: recent advances and future perspectives.

Pengfei Shi, Zheya Zhang, Weimei He, Yu Duan, Yulong He, Huapeng Feng, Jianhong Shu

Abstract readReview
In one paragraph

Review in Frontiers in veterinary science, 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

7 authors.

Pengfei ShiCollege of Life Sciences and Medicine, Zhejang Sci-Tech University, Hangzhou, China.
Zheya ZhangCollege of Life Sciences and Medicine, Zhejang Sci-Tech University, Hangzhou, China.
Weimei HeHangzhou ISEEVAX Medical Sciences and Technology, Co., Ltd., Hangzhou, China.
Yu DuanHangzhou ISEEVAX Medical Sciences and Technology, Co., Ltd., Hangzhou, China.
Yulong HeCollege of Life Sciences and Medicine, Zhejang Sci-Tech University, Hangzhou, China.
Huapeng FengCollege of Life Sciences and Medicine, Zhejang Sci-Tech University, Hangzhou, China.
Jianhong ShuCollege of Life Sciences and Medicine, Zhejang Sci-Tech University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery and application of monoclonal antibodies (mAbs) have fundamentally revolutionized clinical medicine, driving significant paradigm shifts in disease prevention, precise diagnosis and targeted treatment. The demand for high-affinity antibodies continues to surge, yet traditional discovery platforms such as hybridoma and phage display suffer from low efficiency, disrupted native pairing, and time-consuming workflows. Single B cell antibody technology overcomes these limitations by directly retrieving naturally paired heavy and light chain sequences from antigen-specific B cells, thereby preserving authentic affinity and specificity. Following its remarkable success in combating human emergencies like COVID-19, this platform is now being rapidly adapted to veterinary viral diseases, a critical effort under the "One Health" framework to safeguard both animal and public health. This review systematically outlines the core principles and workflows of single B cell-based mAb discovery. It then summarizes recent advances in applying this technology to viruses that infect animals and zoonotic viruses, emphasizing how native antibody repertoires have been harnessed to generate high-affinity mAbs. Ultimately, the article concludes with a discussion of current technical challenges, proposing future research directions to improve both the accessibility and efficacy of veterinary immunotherapeutics.

Indexed as

monoclonal antibodysingle B-cell technologyveterinaryviruszoonotic

Identifiers

PMID42273265
PMCPMC13246346

What OpenQuestion holds

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LicenceCC BY
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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.