Evidence map›Paper›PMID 37773486›Full record

ArticleVeterinary research communications2024

Identification and in vitro characterization of a novel porcine parvovirus 6 in Russia.

Alina Komina, Afshona Anoyatbekova, Nikita Krasnikov, Anton Yuzhakov

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Article in Veterinary research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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  5. 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 at 1 institution in 1 country.

Alina Komina *Federal State Budget Scientific Institution "Federal Scientific Center VIEV", Moscow, 109428, Russia. komina.a.k@yandex.ru.
Afshona Anoyatbekova *Federal State Budget Scientific Institution "Federal Scientific Center VIEV", Moscow, 109428, Russia.
Nikita KrasnikovFederal State Budget Scientific Institution "Federal Scientific Center VIEV", Moscow, 109428, Russia.
Anton YuzhakovFederal State Budget Scientific Institution "Federal Scientific Center VIEV", Moscow, 109428, Russia.
All-Russian Scientific Research Institute of Experimental Veterinary Sciences. Ya.R. Kovalenko · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine parvovirus 6 (PPV6) was first identified in aborted swine fetuses in China in 2014. Since its identification, an increased number of PPV6 cases have been reported in many countries with developed pig breeding. In this study, the first identification of porcine parvovirus 6 in Russia, its phylogenetic analysis, and its characterization in vitro are reported. During the investigation, 521 serum samples collected from pigs of different ages from seven regions of the Russian Federation were tested. In four regions, the DNA of the virus was detected. The overall prevalence of porcine parvovirus 6 in Russia was 9.4%. Fattening pigs were the group with the most frequent detection of the virus genome. Phylogenetic analysis of the Russian isolate detected in a domestic boar indicated high homology with strains from Spain. In vitro studies revealed that the most promising cell cultures for PPV6 isolation are SPEV and SK. Our results demonstrated that PPV6 induced typical apoptotic features in cells, including DNA fragmentation, chromatin margination, nuclear condensation, pyknosis of nuclei, symplast formation, and various pathological mitoses.

Indexed as

Parvoviridae InfectionsParvovirus, PorcineSwine DiseasesAnimalsDNAMalePhylogenySwineDNACell culturesPCRPhylogenetic analysisPigsPorcine parvovirus 6Sanger sequencingVirus isolation

Identifiers

PMID37773486
OpenAlexW4387184065

What OpenQuestion holds

Textmetadata
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.