Evidence map›Paper›PMID 39518785›Full record

ReviewAnimals : an open access journal from MDPI2024

Antiviral Effects of Avian Interferon-Stimulated Genes.

Xingchen He, Shiyuan Zhang, Ziheng Zou, Pei Gao, Liangyu Yang, Bin Xiang

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2024. 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. 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

6 authors.

Xingchen HeCollege of Veterinary Medicine, Yunnan Agricultural University, Kunming 650201, China.ORCID 0009-0000-8002-2004
Shiyuan ZhangCollege of Veterinary Medicine, Yunnan Agricultural University, Kunming 650201, China.
Ziheng ZouCollege of Veterinary Medicine, Yunnan Agricultural University, Kunming 650201, China.
Pei GaoCollege of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang 453000, China.
Liangyu YangCollege of Veterinary Medicine, Yunnan Agricultural University, Kunming 650201, China.
Bin XiangCollege of Veterinary Medicine, Yunnan Agricultural University, Kunming 650201, China.

Funding

Organization Department of Yunnan Provincial Party Committee XDYC-QNRC-2023-0424Organization Department of Yunnan Provincial Party Committee YNWR-CYJS-2019-020Yunnan Province Science and Technology Department 202301AT070488Yunnan Province Science and Technology Department 202305AF150127Yunnan Province Science and Technology Department 202401BD070001-032
6 · The paper itself

Abstract

Interferons (IFNs) stimulate the expression of numerous IFN-stimulating genes via the Janus kinase-signal transducers and activators of the transcription (JAK-STAT) signaling pathway, which plays an important role in the host defense against viral infections. In mammals, including humans and mice, a substantial number of IFN-stimulated genes (ISGs) have been identified, and their molecular mechanisms have been elucidated. It is important to note that avian species are phylogenetically distant from mammals, resulting in distinct IFN-induced ISGs that may have different functions. At present, only a limited number of avian ISGs have been identified. In this review, we summarized the identified avian ISGs and their antiviral activities. As gene-editing technology is widely used in avian breeding, the identification of avian ISGs and the elucidation of their molecular mechanism may provide important support for the breeding of avians for disease resistance.

Indexed as

antiviralavianIFNISG

Identifiers

PMID39518785
PMCPMC11545081

What OpenQuestion holds

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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.