ReviewTransboundary and emerging diseases2025
Next-Generation Vaccines for Co-Circulating PEDV and TGEV: Integrating Nucleic Acid Platforms, Mucosal Delivery, and AI-Driven Antigen Design.
Review 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 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Insights into Microbiota-Vaccine Crosstalk in Humans: Mechanisms, Modulators, and Translational Horizons.Vaccines · 2026Review
- Construction and Immunogenicity of a Recombinant Pseudorabies Virus Expressing the Major Neutralizing Epitopes A and D of Transmissible Gastroenteritis Virus Spike Protein.Veterinary sciences · 2026Article
- Overcoming Antigenic Drift in PEDV: Broadly Protective Antigen Design and sIgA-Driven Lactogenic Immunity.Veterinary sciences · 2026Review
- Review
- Febrifugine dihydrochloride restricts porcine epidemic diarrhea virus replication by modulating the IGF1R-driven PI3K/AKT-apoptosis axis.Journal of virology · 2026Article
- Preclinical Evaluation of a Phage T4-Based Multi-Epitope Nanoparticle Vaccine Against Porcine Epidemic Diarrhea Virus.Transboundary and emerging diseases · 2026Article
- Next-Generation Vaccines for Co-Circulating PEDV and TGEV: Integrating Nucleic Acid Platforms, Mucosal Delivery, and AI-Driven Antigen Design.Transboundary and emerging diseases · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Porcine epidemic diarrhea virus (PEDV) and transmissible gastroenteritis virus (TGEV) are causative agents of acute enteric diseases in pigs and have a high contagion potential. These coronaviruses (CoVs) impose substantial economic losses on global pork production, particularly affecting lactating piglets where coinfections occur. Although traditional vaccines offer partial protection, their efficacy is increasingly challenged by the continuous emergence of mutated strains of PEDV and TGEV. This underscores the demand for novel vaccines with improved protective efficacy and cost-effectiveness. Emerging vaccine technologies, such as nucleic acid vaccines, genetically engineered subunit vaccines, and live vector vaccines, have received widespread attention because of their advantages in terms of safety, stability, targeted delivery, economy, and ease of use. This review summarizes recent advances in PEDV and TGEV vaccine development, highlighting both their potential and limitations. More importantly, we prospect novel techniques that may supplement the status gaps and lead to breakthroughs in blocking the transmission of these CoVs. Notable research priorities encompass mucosal immunity mechanisms, vertical transmission prevention strategies, and computational immunogen design leveraging artificial intelligence (AI). Overall, a deeper understanding of the pathogens coupled with technological advances is expected to accelerate the control of and effective response to pathogenic CoVs, thereby safeguarding the stability of animal husbandry.
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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.