Evidence map›Paper›PMID 41906183›Full record

ArticleBMC veterinary research2026

Development of a novel nanobody-based competitive ELISA for rapid detection of antibodies against Senecavirus A.

Longzhi Nie, Tianxiang Chen, Yunpeng Shi, Bing Wu, Chao Xiong, Qin Zhao, Yuchen Nan, Yiyang Chen, Baoyuan Liu

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Longzhi Nie *Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China.
Tianxiang Chen *College of Animal Husbandry and Veterinary Medicine, Chengdu Agricultural College, Chengdu, Sichuan, China.
Yunpeng ShiTechnology Center of Shijiazhuang Customs District, Cangzhou, Hebei, China.
Bing WuDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China.
Chao XiongDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China.
Qin ZhaoDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China.
Yuchen NanDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China.
Yiyang ChenDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China. chenyiyang@nwsuaf.edu.cn.
Baoyuan LiuDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China. liubaoyuan0412@nwafu.edu.cn.

Funding

Kongtong Science and Technology Project of Pingliang PL-KT-2023A-005National Key Research and Development Program of China 2022YFD1801800Natural Science Foundation of Shaanxi province 2024JC-YBMS-176
6 · The paper itself

Abstract

backgroundSenecavirus A (SVA) causes considerable economic losses in the swine industry, particularly among piglets. However, effective serological diagnostic assays for SVA are still lacking. A testing platform based on nanobody-horseradish peroxidase (Nb-HRP) fusion protein-based competitive ELISA (cELISA) for the detection of antibodies against various animal viruses is available. In this study, a rapid and reliable cELISA was established using this platform for specific detection of antibodies against SVA.

resultsTwo anti-SVA nanobodies were selected from an immunized Bactrian camel using phage display technology. The Nb84-HRP fusion protein was expressed and used as a probe during the process. The assay exhibited a cut-off value of 19.4% and showed no cross-reactivity with antibodies against other swine viruses, demonstrating high specificity. The intra- and inter-assay coefficients of variation ranged from 1.44% to 3.27% and 1.36% to 8.71%, respectively. Evaluation using clinical swine serum samples showed a higher coincidence rate between the cELISA and Western blot (99%, kappa value = 0.97) than that between the cELISA and a commercial ELISA kit (84%, kappa value = 0.35).

conclusionsThese results indicate that the cELISA developed in this study is a rapid, cost-effective, and reliable method for serological detection and surveillance of SVA infection.

Indexed as

Antibodies, ViralPicornaviridaePicornaviridae InfectionsSingle-Domain AntibodiesSwine DiseasesAnimalsCamelusEnzyme-Linked Immunosorbent AssaySensitivity and SpecificitySwineAntibodies, ViralSingle-Domain AntibodiesCompetitive ELISANanobodySenecavirus ASVA-VP1

Identifiers

PMID41906183
PMCPMC13151392

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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.