Evidence map›Paper›PMID 41081320›Full record

ArticleThe veterinary quarterly2025

Glucose-6-phosphatase catalytic subunit 3 enhances host resistance to porcine epidemic diarrhea virus through regulating glycolysis/gluconeogenesis.

Huihui Li, Xiaoyu Huang, Na Yuan, Lixian Wang, Lijun Shi

Abstract read
In one paragraph

Article in The veterinary quarterly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Huihui LiState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiaoyu HuangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Na YuanInstitute of Industrial Technological Innovation, Beijing Vica Biotechnology Co., LTD, Beijing, China.
Lixian WangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Lijun ShiState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine epidemic diarrhea virus (PEDV) causes a highly contagious disease in pigs, and the intricacies of its host-pathogen interactions require further elucidation. Chinese Min piglets, known for their superior resistance to stress and disease, were compared with Yorkshire piglets to investigate breed-specific resistance mechanisms. We established PEDV infection models in both breeds and analyzed differences by assessing cytokine levels, viral loads, and histological changes in jejunal tissues. Transcriptomic analysis of jejunal tissues identified 5422 differentially expressed (DE) protein-coding genes (PCGs) and 1999 DE long non-coding RNAs (lncRNAs) between the two pig breeds. Functional annotation revealed that Yorkshire piglets exhibited upregulation of inflammatory and apoptotic pathways, whereas Chinese Min piglets displayed strong inflammatory responses and enhanced mucosal immunity. Notably, glucose-6-phosphatase catalytic subunit 3 (

Indexed as

Coronavirus InfectionsDisease ResistanceGluconeogenesisGlucose-6-PhosphataseGlycolysisPorcine epidemic diarrhea virusSwine DiseasesAnimalsSwineGlucose-6-PhosphataseChinese Min pigletsG6PC3 geneIPEC-J2PEDVtranscriptomeYorkshire piglets

Identifiers

PMID41081320
PMCPMC12519583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.