Evidence map›Paper›PMID 35210462›Full record

ArticleScientific reports2022

Real-time tracking of bioluminescent influenza A virus infection in mice.

Jin H Kim, Hannah Bryant, Edward Fiedler, TuAnh Cao, Jonathan O Rayner

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  14. Review
  15. Triphasic production of IFNDiscovery immunology · 2023
    Article
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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

5 authors at 1 institution in 1 country.

Jin H KimDepartment of Microbiology and Immunology, College of Medicine, University of South Alabama, Mobile, AL, 36688, USA. jinkim@southalabama.edu.
Hannah BryantDepartment of Comparative Medicine, College of Medicine, University of South Alabama, Mobile, AL, 36688, USA.
Edward FiedlerDepartment of Microbiology and Immunology, College of Medicine, University of South Alabama, Mobile, AL, 36688, USA.
TuAnh CaoDepartment of Microbiology and Immunology, College of Medicine, University of South Alabama, Mobile, AL, 36688, USA.
Jonathan O RaynerDepartment of Microbiology and Immunology, College of Medicine, University of South Alabama, Mobile, AL, 36688, USA.
University of South Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the availability of vaccines and antiviral therapies, seasonal influenza infections cause 400,000 human deaths on average per year. Low vaccine coverage and the occurrence of drug-resistant viral strains highlight the need for new and improved countermeasures. While influenza A virus (IAV) engineered to express a reporter gene may serve as a valuable tool for real-time tracking of viral infection, reporter gene insertion into IAV typically attenuates viral pathogenicity, hindering its application to research. Here, we demonstrate that lethal or even sublethal doses of bioluminescent IAV carrying the NanoLuc gene in the C-terminus of PB2 can be tracked in real-time in live mice without compromising pathogenicity. Real-time tracking of this bioluminescent IAV enables spatiotemporal viral replication tracking in animals that will facilitate the development of countermeasures by enhancing the interpretation of clinical signs and prognosis while also allowing less animal usage.

Indexed as

Genes, ReporterLuminescent MeasurementsAnimalsDogsFemaleHEK293 CellsHumansInfluenza A virusMadin Darby Canine Kidney CellsMiceOrthomyxoviridae Infections

Identifiers

PMID35210462
PMCPMC8873407
OpenAlexW4213424120

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.