Evidence map›Paper›PMID 21375734›Full record

ArticleVirology journal2011

Toll-like receptor pre-stimulation protects mice against lethal infection with highly pathogenic influenza viruses.

Kyoko Shinya, Tadashi Okamura, Setsuko Sueta, Noriyuki Kasai, Motoko Tanaka, Teridah E Ginting, Akiko Makino, Amie J Eisfeld, Yoshihiro Kawaoka

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 65 citations in OpenAlex.

  1. Myeloid TLR2 signaling amplifies immunopathology in influenza-infected murine neonates.American journal of respiratory cell and molecular biology · 2026
    Article
  2. Direct interaction between avian pathogenicMicrobiology spectrum · 2026
    Article
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  14. The 'Influenza' Vaccine Used during the Samoan Pandemic of 1918.Tropical medicine and infectious disease · 2018
    Article
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  17. Review
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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

9 authors at 3 institutions in 2 countries.

Kyoko ShinyaDepartment of Microbiology and Infectious Diseases, Graduate School of Medicine, Kobe University, Kobe 650-0017, Japan. kyoko.tanaka@aioros.ocn.ne.jp
Tadashi Okamura
Setsuko Sueta
Noriyuki Kasai
Motoko Tanaka
Teridah E Ginting
Akiko Makino
Amie J Eisfeld
Yoshihiro Kawaoka
Kobe University · JPTohoku University · JPUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the beginning of the 20th century, humans have experienced four influenza pandemics, including the devastating 1918 'Spanish influenza'. Moreover, H5N1 highly pathogenic avian influenza (HPAI) viruses are currently spreading worldwide, although they are not yet efficiently transmitted among humans. While the threat of a global pandemic involving a highly pathogenic influenza virus strain looms large, our mechanisms to address such a catastrophe remain limited. Here, we show that pre-stimulation of Toll-like receptors (TLRs) 2 and 4 increased resistance against influenza viruses known to induce high pathogenicity in animal models. Our data emphasize the complexity of the host response against different influenza viruses, and suggest that TLR agonists might be utilized to protect against lethality associated with highly pathogenic influenza virus infection in humans.

Indexed as

AnimalsCell LineDogsHumansInfluenza A virusInfluenza, HumanMiceMice, Inbred BALB CToll-Like Receptor 2Toll-Like Receptor 4VirulenceToll-Like Receptor 2Toll-Like Receptor 4

Identifiers

PMID21375734
PMCPMC3061943
OpenAlexW1996906360

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.