ArticleJournal of veterinary science2020
Antiviral effects of Bovine antimicrobial peptide against TGEV
Article in Journal of veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 31 citations in OpenAlex.
- TGEV activates RIG-I/IFN-β/STAT1 axis to promote NLRC5-mediated SLA-I upregulation.Veterinary research · 2026Article
- Natural Products as Potential Resource Library for Control of Major Swine Enteric Viruses.Transboundary and emerging diseases · 2026Review
- Antimicrobial peptide biological activity, delivery systems and clinical translation status and challenges.Journal of translational medicine · 2025Review
- Design of Mucosal Vaccines Against Swine Enteric Coronaviruses: From Antigen Delivery to Immune Activation.Transboundary and emerging diseases · 2025Review
- Advances research in porcine enteric coronavirus therapies and antiviral drugs.The veterinary quarterly · 2024Review
- Antimicrobial Peptides in Infectious Diseases and Beyond-A Narrative Review.Life (Basel, Switzerland) · 2023Review
- Flavonoids as Potential Antiviral Agents for Porcine Viruses.Pharmaceutics · 2022Review
- Progress of Research into Novel Drugs and Potential Drug Targets against Porcine Pseudorabies Virus.Viruses · 2022Review
- Antimicrobial peptides: mechanism of action, activity and clinical potential.Military Medical Research · 2021Review
- Investigation of morphological changes of HPS membrane caused by cecropin B through scanning electron microscopy and atomic force microscopy.Journal of veterinary science · 2021Article
- Antiviral peptides against Coronaviridae family: A review.Peptides · 2021Review
- The Antimicrobial Peptide Mastoparan X Protects Against EnterohemorrhagicFrontiers in microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn suckling piglets, transmissible gastroenteritis virus (TGEV) causes lethal diarrhea accompanied by high infection and mortality rates, leading to considerable economic losses. This study explored methods of preventing or inhibiting their production. Bovine antimicrobial peptide-13 (APB-13) has antibacterial, antiviral, and immune functions.
objectivesThis study analyzed the efficacy of APB-13 against TGEV through
methodsThe effects of APB-13 toxicity and virus inhibition rate on swine testicular (ST) cells were detected using 3-(4,5-dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide (MTT). The impact of APB-13 on virus replication was examined through the 50% tissue culture infective dose (TCID
resultsThe safe and effective concentration range of APB-13 on ST cells ranged from 0 to 62.5 μg/mL, and the highest viral inhibitory rate of APB-13 was 74.1%. The log
conclusionsAPB-13 exhibited good antiviral effects on TGEV
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What OpenQuestion holds
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.