Evidence map›Paper›PMID 40005942›Full record

ArticleVeterinary sciences2025

Utilizing NF-κB Signaling in Porcine Epithelial Cells to Identify a Plant-Based Additive for the Development of a Porcine Epidemic Diarrhea Virus Vaccine.

Nguyen-Thanh Hoa, Haroon Afzal, Thu-Dung Doan, Asad Murtaza, Chia-Hung Yen, Yao-Chi Chung

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Nguyen-Thanh HoaInternational Program in Animal Vaccine Technology, National Pingtung University Science and Technology, Pingtung 91201, Taiwan.ORCID 0000-0002-9675-5437
Haroon AfzalInternational Program in Animal Vaccine Technology, National Pingtung University Science and Technology, Pingtung 91201, Taiwan.ORCID 0000-0002-5256-3265
Thu-Dung DoanInternational Program in Animal Vaccine Technology, National Pingtung University Science and Technology, Pingtung 91201, Taiwan.
Asad MurtazaFaculty of Biosciences, Fisheries and Economics, Norwegian College of Fishery Science, UiT-The Arctic University of Norway, P.O. Box 6050 Tromsø, Norway.
Chia-Hung YenGraduate Institute of Natural Products, College of Pharmacy, Kaohsiung Medical University, Kaohsiung 807378, Taiwan.
Yao-Chi ChungGraduate Institute of Animal Vaccine Technology, College of Veterinary Medicine, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan.ORCID 0009-0006-0610-2843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nuclear factor-kappa B (NF-κB) signaling pathway plays a crucial role in regulating immune responses in epithelial cells. In this study, we established a porcine epithelial NF-κB reporter cell line (PK15-KBR) as an in vitro platform to screen plant-based extracts for their potential use as vaccine adjuvants against porcine epidemic diarrhea virus (PEDV). The NF-κB inducers were further tested for toxicity assessments, either using CCK-8 assays or intramuscular injection in mice, finally followed by vaccination studies to evaluate their adjuvancy. Initial experiments confirmed that TNF-α effectively activated NF-κB signaling in PK15-KBR cells in a dose-dependent manner, validating the platform's reliability at Z' value of 0.68. Of the 224 testers, 3 candidates, including chamomile, mulberry and

Indexed as

epithelial cellsin vitro toolmucosal immunityNF-κB signaling pathwayPK15-KBR cell lineplant extractsporcine epidemic diarrhea virus (PEDV)

Identifiers

PMID40005942
PMCPMC11860592

What OpenQuestion holds

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Registered trials

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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.