Evidence map›Paper›PMID 23218769›Full record

ReviewSeminars in immunology2013

Systems approaches to influenza-virus host interactions and the pathogenesis of highly virulent and pandemic viruses.

Marcus J Korth, Nicolas Tchitchek, Arndt G Benecke, Michael G Katze

Abstract readReview
In one paragraph

Review in Seminars in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Current Insights into the Host Immune Response to Respiratory Viral Infections.Advances in experimental medicine and biology · 2021
    Article
  8. Article
  9. Article
  10. Protein-protein interactions of human viruses.Seminars in cell & developmental biology · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Metabolic pathways of lung inflammation revealed by high-resolution metabolomics (HRM) of H1N1 influenza virus infection in mice.American journal of physiology. Regulatory, integrative and comparative physiology · 2016
    Article
  20. 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 2 institutions in 2 countries.

Marcus J KorthDepartment of Microbiology, School of Medicine, and Washington National Primate Research Center, University of Washington, Seattle, WA 98195-8070, USA.
Nicolas Tchitchek
Arndt G Benecke
Michael G Katze
University of Washington · USInstitut des Hautes Études Scientifiques · FR

Funding

YILMA SIV VACCINIA VACCINE TRIALP51RR000166 · NCRR · UNIVERSITY OF WASHINGTON · PI HU, SHIU-LOK · 1985 to 2011
$161.1M
The Burden of Chikungunya and Dengue Infection in KenyaU54AI081680 · NIAID · OREGON HEALTH & SCIENCE UNIVERSITY · PI RYMAN, KATHERINE D · 2009 to 2013
$40.4M
PROTEOMICS COREP30DA015625 · NIDA · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2002 to 2012
$18.9M
NCRR NIH HHS P51 RR000166NCRR NIH HHS P51RR00166NIAID NIH HHS HHSN272200800060CNIAID NIH HHS U54 AI081680NIAID NIH HHS U54AI081680NIDA NIH HHS P30 DA015625NIDA NIH HHS P30DA015625
6 · The paper itself

Abstract

Influenza virus research has recently undergone a shift from a virus-centric perspective to one that embraces the full spectrum of virus-host interactions and cellular signaling events that determine disease outcome. This change has been brought about by the increasing use and expanding scope of high-throughput molecular profiling and computational biology, which together fuel discovery in systems biology. In this review, we show how these approaches have revealed an uncontrolled inflammatory response as a contributor to the extreme virulence of the 1918 pandemic and avian H5N1 viruses, and how this response differs from that induced by the 2009 H1N1 viruses responsible for the most recent influenza pandemic. We also discuss how new animal models, such as the Collaborative Cross mouse systems genetics platform, are key to the necessary systematic investigation of the impact of host genetics on infection outcome, how genome-wide RNAi screens have identified hundreds of cellular factors involved in viral replication, and how systems biology approaches are making possible the rational design of new drugs and vaccines against an ever-evolving respiratory virus.

Indexed as

Host-Pathogen InteractionsAnimalsComputational BiologyDisease Models, AnimalGene-Environment InteractionHigh-Throughput Screening AssaysHumansImmunityInfluenza, HumanInfluenza VaccinesMiceOrthomyxoviridaeOrthomyxoviridae InfectionsPandemicsSystems BiologyVirulenceInfluenza VaccinesComputational biologyGenomicsInflammationInfluenza virusInterferonSystems biology

Identifiers

PMID23218769
PMCPMC3596458
OpenAlexW2084420582

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.