Evidence map›Paper›PMID 39414454›Full record

ArticleThe Journal of veterinary medical science2024

Identification of signaling pathways induced by porcine parvovirus in porcine kidney-15 cells based on weighted correlation network analysis.

Tingting Lu, Xia Ma, Xinghui Song, Li Zhao

Abstract read
In one paragraph

Article in The Journal of veterinary medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Tingting LuInstitute of Veterinary Medicine, Henan University of Animal Husbandry and Economy, Zhengzhou, China.
Xia MaInstitute of Veterinary Medicine, Henan University of Animal Husbandry and Economy, Zhengzhou, China.
Xinghui SongInstitute of Veterinary Medicine, Henan University of Animal Husbandry and Economy, Zhengzhou, China.
Li ZhaoInstitute of Veterinary Medicine, Henan University of Animal Husbandry and Economy, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine parvovirus (PPV) is an important trigger of reproductive issues in pigs. Infection of the porcine kidney-15 (PK-15) cells with PPV induces cell death and inflammation. To explore the impact of PPV infection on gene expression in PK-15 cells and to identify the associated signaling pathways, we performed weighted correlation network analysis (WGCNA) on both PPV-infected and uninfected cells. We identified the blue and brown modules, with the blue module demonstrating decreased gene expression and the brown module showing increased gene expression at 48 hr post-PPV induction. Gene Ontology (GO) analysis revealed that genes in the blue module were predominantly associated with cellular components, while those in the brown module were enriched in biological processes, including the immunological response to PPV infection. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the modules indicated that the "Cytokine-cytokine receptor interaction" was linked to PPV. Furthermore, we screened 124 target genes involved in more than 100 pathways that interact with C-X-C motif chemokine ligand 8 (CXCL8), which plays an essential role in regulating numerous biological processes. The signaling pathways we identified facilitate a comprehensive examination of the mechanisms of interactions initiated by PPV infection.

Indexed as

Parvovirus, PorcineSignal TransductionAnimalsCell LineKidneyParvoviridae InfectionsSwineSwine DiseasesC-X-C motif chemokine ligand 8porcine kidney-15 cellporcine parvovirusweighted correlation network analysis

Identifiers

PMID39414454
PMCPMC11612249

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.