Evidence map›Paper›PMID 39591303›Full record

ArticleVeterinary sciences2024

Early Transcriptional Changes in Feline Herpesvirus-1-Infected Crandell-Rees Feline Kidney Cells.

Xiuqing Xiao, Fuqiang Xu, Fan Jia

Abstract read
In one paragraph

Article in Veterinary sciences, 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. 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

3 authors.

Xiuqing XiaoShenzhen Key Laboratory of Viral Vectors for Biomedicine, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Fuqiang XuShenzhen Key Laboratory of Viral Vectors for Biomedicine, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Fan JiaShenzhen Key Laboratory of Viral Vectors for Biomedicine, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0002-7779-5556

Funding

Key Laboratory of Quality Control Technology for Virus-Based Therapeutics, Guangdong Pro-vincial Medical Products Administration, Shenzhen 2020ZDB26Shenzhen Key Laboratory of Viral Vectors for Biomedicine, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences ZDSYS20200811142401005SIAT Innovation Program for Excellent Young Researchers E1G023the Shenzhen Fundamental Research Program JCYJ20220818100801002
6 · The paper itself

Abstract

FHV-1 is a highly contagious pathogen that significantly threatens feline health and contributes to rising pet healthcare costs. The mechanisms underlying FHV-1 and host interactions remain poorly understood. For the first time, we conducted a systematic analysis of transcriptomic changes in CRFK cells following FHV-1 infection using RNA-seq. The differentially expressed genes (DEGs) displayed significant associations with cellular components, particularly the chromatin structure. Pathway analysis of the DEGs highlighted key host immune responses, including Toll-like receptors (TLRs), IL-17, TNF, MAPK, and Rap1 signaling pathways. By integrating the RNA-seq and RT-qPCR results, we identified CXCL8, CXCL10, MMP1, MMP9, CSF2, CSF3, CCL20, TLR2, TLR3, TLR4, TNF, and FOS as potentially important genes in the host's immune response to FHV-1. These findings provide valuable insights into the mechanisms underlying FHV-1 and host interactions.

Indexed as

early post-infectionFHV-1immune responsestranscriptomevirus–host interactions

Identifiers

PMID39591303
PMCPMC11599068

What OpenQuestion holds

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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.