Evidence map›Paper›PMID 26682989›Full record

SynthesisImmunity2015

Integrated, Multi-cohort Analysis Identifies Conserved Transcriptional Signatures across Multiple Respiratory Viruses.

Marta Andres-Terre, Helen M McGuire, Yannick Pouliot, Erika Bongen, Timothy E Sweeney, Cristina M Tato, Purvesh Khatri

Abstract readMeta-Analysis
In one paragraph

Synthesis in Immunity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 9 pooled it
–field-weighted citation impact
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

126 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Gene Expression Analysis to Assess the Relevance of Rodent Models to Human Lung Injury.American journal of respiratory cell and molecular biology · 2017
    Pooled it
  8. META-ANALYSIS OF CONTINUOUS PHENOTYPES IDENTIFIES A GENE SIGNATURE THAT CORRELATES WITH COPD DISEASE STATUS.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017
    Pooled it
  9. Pooled it
  10. Trial
  11. Trial
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

66 more citing papers are in PubMed but not listed here.

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

7 authors.

Marta Andres-TerreInstitute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA 94305, USA.
Helen M McGuireInstitute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA 94305, USA.
Yannick PouliotInstitute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA 94305, USA.
Erika BongenInstitute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA 94305, USA.
Timothy E SweeneyInstitute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA 94305, USA; Division of Biomedical Informatics, Department of Medicine, Stanford University, Stanford, CA 94305, USA.
Cristina M TatoInstitute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA 94305, USA.
Purvesh KhatriInstitute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA 94305, USA; Division of Biomedical Informatics, Department of Medicine, Stanford University, Stanford, CA 94305, USA. Electronic address: pkhatri@stanford.edu.

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Bioinformatics Approach to Influenza A/H1N1 Vaccine Immune ProfilingU01AI089859 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2010 to 2015
$33.8M
Translational Incubator CoreU19AI109662 · NIAID · STANFORD UNIVERSITY · PI GLENN, JEFFREY S · 2014 to 2019
$28.6M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
TrainingU54AI117925 · NIAID · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2014 to 2018
$12.9M
NIAID NIH HHS 1U19AI109662NIAID NIH HHS T32 AI007290NIAID NIH HHS U01 AI089859NIAID NIH HHS U01AI089859NIAID NIH HHS U19 AI057229NIAID NIH HHS U19AI057229NIAID NIH HHS U19 AI109662NIAID NIH HHS U54 AI117925PHS HHS U54I117925
6 · The paper itself

Abstract

Respiratory viral infections are a significant burden to healthcare worldwide. Many whole genome expression profiles have identified different respiratory viral infection signatures, but these have not translated to clinical practice. Here, we performed two integrated, multi-cohort analyses of publicly available transcriptional data of viral infections. First, we identified a common host signature across different respiratory viral infections that could distinguish (1) individuals with viral infections from healthy controls and from those with bacterial infections, and (2) symptomatic from asymptomatic subjects prior to symptom onset in challenge studies. Second, we identified an influenza-specific host response signature that (1) could distinguish influenza-infected samples from those with bacterial and other respiratory viral infections, (2) was a diagnostic and prognostic marker in influenza-pneumonia patients and influenza challenge studies, and (3) was predictive of response to influenza vaccine. Our results have applications in the diagnosis, prognosis, and identification of drug targets in viral infections.

Indexed as

TranscriptomeCohort StudiesDatasets as TopicHumansRespiratory Tract InfectionsVirus Diseases

Identifiers

PMID26682989
PMCPMC4684904

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.