Evidence map›Paper›PMID 40303781›Full record

ArticleTransboundary and emerging diseases2023

Retrospective Detection and Phylogenetic Analysis of Cachavirus-Related Parvoviruses in Dogs in China.

Jun Ji, Qiang Liu, Shunshun Pan, Wen Hu, Xin Xu, Yunchao Kan, Qingmei Xie, Lunguang Yao

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2023. 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

8 authors.

Jun JiHenan Provincial Engineering Laboratory of Insects Bio-Reactor, Henan Provincial Engineering and Technology Center of Health Products for Livestock and Poultry, Henan Provincial Engineering and Technology Center of Animal Disease Diagnosis and Integrated Control, Nanyang Normal University, Nanyang 473061, China.ORCID https://orcid.org/0000-0001-9511-4163
Qiang LiuHenan Provincial Engineering Laboratory of Insects Bio-Reactor, Henan Provincial Engineering and Technology Center of Health Products for Livestock and Poultry, Henan Provincial Engineering and Technology Center of Animal Disease Diagnosis and Integrated Control, Nanyang Normal University, Nanyang 473061, China.
Shunshun PanHenan Provincial Engineering Laboratory of Insects Bio-Reactor, Henan Provincial Engineering and Technology Center of Health Products for Livestock and Poultry, Henan Provincial Engineering and Technology Center of Animal Disease Diagnosis and Integrated Control, Nanyang Normal University, Nanyang 473061, China.
Wen HuHenan Provincial Engineering Laboratory of Insects Bio-Reactor, Henan Provincial Engineering and Technology Center of Health Products for Livestock and Poultry, Henan Provincial Engineering and Technology Center of Animal Disease Diagnosis and Integrated Control, Nanyang Normal University, Nanyang 473061, China.
Xin XuHenan Provincial Engineering Laboratory of Insects Bio-Reactor, Henan Provincial Engineering and Technology Center of Health Products for Livestock and Poultry, Henan Provincial Engineering and Technology Center of Animal Disease Diagnosis and Integrated Control, Nanyang Normal University, Nanyang 473061, China.
Yunchao KanHenan Provincial Engineering Laboratory of Insects Bio-Reactor, Henan Provincial Engineering and Technology Center of Health Products for Livestock and Poultry, Henan Provincial Engineering and Technology Center of Animal Disease Diagnosis and Integrated Control, Nanyang Normal University, Nanyang 473061, China.
Qingmei XieCollege of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Lunguang YaoHenan Provincial Engineering Laboratory of Insects Bio-Reactor, Henan Provincial Engineering and Technology Center of Health Products for Livestock and Poultry, Henan Provincial Engineering and Technology Center of Animal Disease Diagnosis and Integrated Control, Nanyang Normal University, Nanyang 473061, China.ORCID https://orcid.org/0000-0003-4059-1100

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cachavirus (CachaV) infection was first reported in the USA in 2019. This virus has been previously detected in pet dogs and cats in China. In the present study, we retrospectively examined this virus in 413 dogs and 127 cats. Swab samples obtained from these animals were collected during 2015-2017. Notably, CachaV was detected in four samples from dogs with diarrhea but not in cats; however, the correlation between healthy dogs and those with enteritis was not statistically significant. Furthermore, we amplified early complete genomic sequences of the four strains detected in our study dogs (CHN1601, CHN1602, CHN1703, and CHN1704). Among these strains, the sequence identity of the NS1 protein and the seven previously reported strains in China were 97.44%-99.7%, whereas that of VP1 protein was 98.02%-99.6%. Interestingly, in the NS1 coding region, CHN1704 demonstrated 99.7% (highest) similarity with the CachaV strain NWT-W88 detected from a wolf and 64.5% similarity with the NS1 of a bat parvovirus (BtPV) strain. Conversely, in the VP1 coding region, CHN1703 demonstrated 99.7% (highest) similarity with the prototype CachaV strain IDEXX1 detected from dogs and 63.3% similarity with BtPV strain. For the phylogenetic analysis of NS1 and VP1, the four strains detected during 2016-2017 were merged with other Chinese and foreign CachaV strains to form the major branch. We believe that these results helped improve the understanding of how CachaV evolved and suggest that the virus has been circulating in China since at least March 2016.

Indexed as

Cat DiseasesDog DiseasesParvoviridae InfectionsAnimalsCatsChinaDogsParvovirus, CaninePhylogenyRetrospective Studies

Identifiers

PMID40303781
PMCPMC12017101

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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.