Evidence map›Paper›PMID 28249256›Full record

SynthesisJournal of innate immunity2017

Searching for a Lifeline: Transcriptome Profiling Studies of Influenza Susceptibility and Resistance.

Lester Kobzik

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of innate immunity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. The Extracellular Matrix: Reloaded Revolutions.Journal of innate immunity · 2019
    Article
  4. Integrative Physiology of Pneumonia.Physiological reviews · 2018
    Review
  5. 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

1 author at 1 institution in 1 country.

Lester KobzikDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, and Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Brigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excess or dysregulated host inflammatory responses cause much of the morbidity and mortality caused by severe influenza. Given the limitations of vaccines and antiviral drugs, novel therapeutics to modulate host responses and improve outcomes in severe influenza are needed. One strategy is to learn from the direct comparison of high-survivor versus high-mortality animal models. This review surveys the results of lung transcriptome profiling studies in murine models that directly compare susceptible versus resistant hosts challenged with identical influenza infections. The potential contributions and limitations of these studies are discussed. To amplify their power, the studies are subjected to a meta-analysis, which helps identify frequently dysregulated pathways and potentially novel areas for investigation. Using connectivity map-based tools (LINCS), transcriptome signatures linked to susceptibility can identify candidate drugs that merit testing for in vivo efficacy.

Indexed as

TranscriptomeAnimalsDisease Models, AnimalGene Expression ProfilingGenetic Predisposition to DiseaseHumansInfluenza, HumanMiceOrthomyxoviridaeOrthomyxoviridae InfectionsDrug target identificationInfluenzaMeta-analysisPathwaysSurvival

Identifiers

PMID28249256
PMCPMC6738832
OpenAlexW2592796123

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.