Evidence map›Paper›PMID 40646296›Full record

ArticleArchives of virology2025

Growth properties of recombinant equine influenza viruses with different backbones generated by reverse genetics in embryonated chicken eggs.

Manabu Nemoto, Nanako Kawanishi, Yoshinori Kambayashi, Hiroshi Bannai, Takashi Yamanaka, Marie Garvey, Ann Cullinane, Seiya Yamayoshi, Yoshihiro Kawaoka, Koji Tsujimura

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of virology, 2025. 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

10 authors.

Manabu NemotoEquine Research Institute, Japan Racing Association, Tochigi, Japan. nemoto_manabu@equinst.go.jp.ORCID http://orcid.org/0000-0002-6154-2263
Nanako KawanishiEquine Research Institute, Japan Racing Association, Tochigi, Japan.ORCID http://orcid.org/0000-0001-6180-0798
Yoshinori KambayashiEquine Research Institute, Japan Racing Association, Tochigi, Japan.
Hiroshi BannaiEquine Research Institute, Japan Racing Association, Tochigi, Japan.
Takashi YamanakaEquine Research Institute, Japan Racing Association, Tochigi, Japan.
Marie GarveyVirology Unit, Irish Equine Centre, Kildare, Ireland.
Ann CullinaneVirology Unit, Irish Equine Centre, Kildare, Ireland.
Seiya YamayoshiDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Yoshihiro KawaokaDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Koji TsujimuraEquine Research Institute, Japan Racing Association, Tochigi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse genetics (RG) technology is useful for quickly updating influenza vaccine strains. A high-yield backbone (i.e., six segments other than hemagglutinin and neuraminidase) derived from A/Puerto Rico/8/1934 (PR8) has been developed to improve the growth of avian and human influenza viruses. However, for equine influenza virus (EIV), an EIV-derived backbone may have better growth properties due to more-natural segment combinations. We compared the growth properties in eggs between the PR8 backbone and an EIV backbone from A/equine/Ibaraki/1/2007, a vaccine strain in Japan. The results showed that the PR8 backbone was propagated more efficiently and is therefore more suitable for EIV vaccine production.

Indexed as

Influenza A Virus, H3N8 SubtypeReverse GeneticsAnimalsChick EmbryoHorsesInfluenza VaccinesInfluenza Vaccines

Identifiers

PMID40646296

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.