Evidence map›Paper›PMID 41424809›Full record

ArticleTransboundary and emerging diseases2025

Development and Application of an Antigen Capture ELISA for the Detection of Enzootic Nasal Tumor Virus-2.

Yang Zhao, Jinling Wang, Qiang Liu, Jiang Wu, Qixin Huang, Bingwu Zhang, Yunze Guo, Chang Liu, Xing Guo, Kui Guo and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Yang ZhaoState Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0009-0008-0079-5348
Jinling WangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010018, China, imau.edu.cn.ORCID https://orcid.org/0000-0002-8127-4796
Qiang LiuNanchong Key Laboratory of Disease Prevention, Control and Detection in Livestock and Poultry, Nanchong Vocational and Technical College, Nanchong, 637131, China.
Jiang WuCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, China, gdou.edu.cn.ORCID https://orcid.org/0000-0002-0771-1791
Qixin HuangHaixi Center of Animal Disease Prevention and Control, Haixi Mongolian and Tibetan Autonomous Prefecture, 817099, China.
Bingwu ZhangDazhou Vocational and Technical College, Dazhou, 635001, China.
Yunze GuoCollege of Veterinary Medicine, Henan University of Animal Husbandry and Economy, Zhengzhou, 450046, China, hnuahe.edu.cn.
Chang LiuCollege of Animal Science, Anhui Science and Technology University, Fengyang, 233100, China, aust.edu.cn.
Xing GuoState Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.
Kui GuoState Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.
Weiguo ZhangState Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0003-2195-6813
Xiaohua MaState Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0009-0003-2963-0364
Xue-Feng WangState Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0002-5564-2487
Xiaojun WangState Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0003-4521-4099
Nan-Hua ChenState Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzootic nasal tumor virus (ENTV) is the etiological agent responsible for enzootic nasal adenocarcinoma (ENA), a chronic and contagious disease predominantly affecting sheep and goats. ENTV is classified into two distinct types: ENTV-1, which infects sheep, and ENTV-2, which infects goats. ENA has been globally reported in small ruminant-rearing regions, causing significant mortality and substantial economic impacts in affected flocks. There is currently no standardized detection method for ENA. In this study, we successfully generated a monoclonal antibody (mAb) and a polyclonal antibody (pAb) against the ENTV-2 capsid protein (p27), and identified the epitope of the mAb, which was found to be highly conserved among different ENTV-2 isolates. An antigen capture ELISA (acELISA) was then successfully developed using the mAb as the capture antibody and the pAb as the detection antibody to specifically detect p27 of ENTV-2 in nasal secretions. The cut-off value of the acELISA was determined to be 0.1052 by analyzing S/P values. The detection limit of this assay was 0.16 ng/mL of rp27 protein and equivalent to 844 copies/μL of ENTV-2 RNA. Specificity tests showed that the method had no cross-reaction with other prevalent small ruminant pathogens. The coincidence rates of the developed acELISA compared with western blotting and qRT-PCR assays were 98.95% (189/191) and 96.34% (184/191), respectively. Furthermore, the acELISA was applied to assess ENTV-2 in 1228 clinical nasal swab samples collected from seven provinces in China. The results demonstrated that the positivity rate varied between 0.00% and 28.21%. In conclusion, we successfully developed an acELISA with high specificity, sensitivity and reproducibility for the detection of ENTV-2 antigen. This high-throughput method for the detection of ENTV-2 represents a significant advancement in the field and may contribute to the prevention and control of ENTV-2.

Indexed as

BetaretrovirusGoat DiseasesNose NeoplasmsSheep DiseasesTumor Virus InfectionsAnimalsAntibodies, MonoclonalAntibodies, ViralAntigens, ViralEnzyme-Linked Immunosorbent AssayGammaherpesvirinaeGoatsSensitivity and SpecificitySheepAntibodies, MonoclonalAntibodies, ViralAntigens, Viral

Identifiers

PMID41424809
PMCPMC12717442

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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.