Evidence map›Paper›PMID 40266308›Full record

ArticleApplied microbiology and biotechnology2025

A neutralizing nanobody-based liquid-phase blocking ELISA to assess the protective potency of Senecavirus A vaccine.

Suyu Mu, Songjia Pan, Hu Dong, Jinen Wu, Yun Zhang, Shuanghui Yin, Jianing Wang, Tian Wei, Xiaobo Wen, Huichen Guo and 1 more

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Suyu Mu *State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
Songjia Pan *State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
Hu DongState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
Jinen WuState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
Yun ZhangState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
Shuanghui YinState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
Jianing WangState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
Tian WeiState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
Xiaobo WenSchool of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan Province, China.
Huichen GuoState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
Shiqi SunState Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China. sunshiqi@caas.cn.ORCID http://orcid.org/0000-0003-4975-739X

Funding

China Postdoctoral Science Foundation 2024M763620Gansu Postdoctoral Science Foundation 25JRRA449Hongsheng Biological Open Research Project ZJHS202210Key R&D Program of Ningxia province 2044BBF02017Technology innovation guidance program of Gansu Province 24CXNA030The Major Science and Technology Project of Gansu Province 24ZDWA004
6 · The paper itself

Abstract

Senecavirus A (SVA) causes swine blister diseases in the crown of hooves, abortion syndrome, and increased mortality rates in piglets. Vaccination is the best defense against SVA infection. However, evaluations of the efficacy of SVA vaccines currently rely on challenging pigs with SVA, which is time-consuming, labor-intensive, and inconsistent with animal welfare mandates. To establish a replacement for the virus neutralization test (VNT) and SVA challenge tests, we developed a liquid-phase blocking enzyme-linked immunosorbent assay (nbLPB-ELISA) based on V1-VHH as the coating antibody (Ab) and biotinylated V1-VHH as the detection Ab. Under optimized conditions, the VNT and nbLPB-ELISA results were strongly correlated (Pearson R

Indexed as

Antibodies, NeutralizingPicornaviridaePicornaviridae InfectionsSingle-Domain AntibodiesSwine DiseasesViral VaccinesAnimalsAntibodies, ViralEnzyme-Linked Immunosorbent AssayNeutralization TestsSwineAntibodies, NeutralizingAntibodies, ViralSingle-Domain AntibodiesViral VaccinesLiquid-phase blocking enzyme-linked immunosorbent assayNeutralizing antibodySenecavirus ASenecavirus A challenge testSingle-domain antibody

Identifiers

PMID40266308
PMCPMC12018605

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.