Evidence map›Paper›PMID 19896686›Full record

ArticleVirology2010

IFN-alpha expression and antiviral effects are subtype and cell type specific in the cardiac response to viral infection.

Lianna Li, Barbara Sherry

Abstract read
In one paragraph

Article in Virology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

24 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Three Modes of Viral Adaption by the Heart.bioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Lianna LiDepartment of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC 27606, USA.
Barbara Sherry
North Carolina State University · US

Funding

The cardiac interferon response to reovirus infectionR01AI062657 · NIAID · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI SHERRY, BARBARA · 2004 to 2008
$1.4M
NIAID NIH HHS R01 AI062657
6 · The paper itself

Abstract

The interferon-beta (IFN-beta) response is critical for protection against viral myocarditis in several mouse models, and IFN-alpha or -beta treatment is beneficial against human viral myocarditis. The IFN-beta response in cardiac myocytes and cardiac fibroblasts forms an integrated network for organ protection; however, the different IFN-alpha subtypes have not been studied in cardiac cells. We developed a quantitative RT-PCR assay that distinguishes between 13 highly conserved IFN-alpha subtypes and found that reovirus T3D induces five IFN-alpha subtypes in primary cardiac myocyte and fibroblast cultures: IFN-alpha1, -alpha2, -alpha4, -alpha5, and -alpha8/6. Murine IFN-alpha1, -alpha2, -alpha4, or -alpha5 treatment induced IRF7 and ISG56 and inhibited reovirus T3D replication in both cell types. This first investigation of IFN-alpha subtypes in cardiac cells for any virus demonstrates that IFN-alpha is induced in cardiac cells, that it is both subtype and cell type specific, and that it is likely important in the antiviral cardiac response.

Indexed as

AnimalsBase SequenceCells, CulturedInterferon-alphaMiceMolecular Sequence DataMyocarditisReverse Transcriptase Polymerase Chain ReactionTranscription FactorsVirus DiseasesInterferon-alphaISG56 protein, mouseTranscription Factors

Identifiers

PMID19896686
PMCPMC2787694
OpenAlexW2087837555

What OpenQuestion holds

Textmetadata
LicenceTDM
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.