ArticleVeterinary sciences2025
Indirect ELISA Using Multi-Antigenic Dominants of 3AB and 3C Recombinant Protein to Detect Antibodies Against Senecavirus A in Pigs.
Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- Virus-like particle (VLP)-based indirect ELISA (iELISA) for the detection of beak and feather disease virus (BFDV) antibodies.Applied microbiology and biotechnology · 2026Article
- Indirect ELISA Using Multi-Antigenic Dominants of VP1, VP2, and VP3 Recombinant Protein to Detect Antibodies Against Senecavirus A in Pigs.Veterinary sciences · 2026Article
- Establishment and Application of a Novel Protein Microarray for Serological Detection and Differentiation of Senecavirus A.Transboundary and emerging diseases · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Senecavirus A (SVA) causes a vesicular disease in pigs with clinical signs indistinguishable from those of other swine vesicular diseases. To enable serological differentiation infected from vaccinated animals (DIVA), we developed indirect ELISAs (iELISAs) based on recombinant non-structural proteins (NSPs). A His-tagged tandem antigen, r3AB-3C, was designed by integrating immunodominant B-cell epitopes from 3AB and 3C proteins, and was successfully expressed in
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Registered trials
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.