Evidence map›Paper›PMID 38965616›Full record

ArticleVirology journal2024

The biological characteristics and infection dynamics of a novel H3N2 canine influenza virus genotype in beagles.

Fei-Fei Ge, Hai-Xiao Shen, De-Quan Yang, Xian-Chao Yang, Xin Li, Jian Wang, Shixin Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Virology journal, 2024. 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

7 authors.

Fei-Fei Ge *Shanghai Animal Disease Control Center, Shanghai, 201103, People's Republic of China.
Hai-Xiao Shen *Shanghai Animal Disease Control Center, Shanghai, 201103, People's Republic of China.
De-Quan YangShanghai Animal Disease Control Center, Shanghai, 201103, People's Republic of China.
Xian-Chao YangShanghai Animal Disease Control Center, Shanghai, 201103, People's Republic of China.
Xin LiShanghai Animal Disease Control Center, Shanghai, 201103, People's Republic of China.
Jian WangShanghai Animal Disease Control Center, Shanghai, 201103, People's Republic of China. jianwhlj@163.com.
Shixin HuangShanghai Animal Disease Control Center, Shanghai, 201103, People's Republic of China. huangshx1968@sina.com.

Funding

Shanghai Agri- culture Science and Technology Innovation Program NO.T2023213
6 · The paper itself

Abstract

backgroundThe canine influenza virus (CIV) outbreak has garnered considerable attention as it poses a significant threat to dog health. During the H3N2 CIV evolution in beagles, the virus formed a new clade after 2019 and gradually became more adaptable to other mammals. Therefore, successfully elucidating the biological characteristics and constructing a canine influenza infection model is required for CIV characterization.

methodsWe performed genetic analyses to examine the biological characteristics and infection dynamics of CIV.

resultsThe genotype of our H3N2 CIV strain (from 2019 in Shanghai) belonged to the 5.1 clade, which is now prevalent in China. Using MDCK cells, we investigated viral cytopathic effects. Virus size and morphology were observed using transmission electron microscopy. Beagles were also infected with 10

conclusionsThe framework established in this study will guide further CIV prevention strategies.

Indexed as

Dog DiseasesGenotypeInfluenza A Virus, H3N2 SubtypeOrthomyxoviridae InfectionsAnimalsChinaDisease Models, AnimalDogsLungMadin Darby Canine Kidney CellsPhylogenyViral Load5.1 cladeBeaglesBiological characteristicsCanine influenza virusInfection dynamics

Identifiers

PMID38965616
PMCPMC11225329

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.