Evidence map›Paper›PMID 25582225›Full record

Trial reportBMC medical genomics2015

Identifying a gene expression signature of frequent COPD exacerbations in peripheral blood using network methods.

Jarrett D Morrow, Weiliang Qiu, Divya Chhabra, Stephen I Rennard, Paula Belloni, Anton Belousov, Sreekumar G Pillai, Craig P Hersh

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Leveraging Omics to Predict Chronic Obstructive Pulmonary Disease Exacerbations: The "Immunome".American journal of respiratory and critical care medicine · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Identification of Metabolism-Associated Molecular Subtypes of Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2021
    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

8 authors at 5 institutions in 2 countries.

Jarrett D MorrowChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA. jarrett.morrow@channing.harvard.edu.
Weiliang QiuChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA. weiliang.qiu@channing.harvard.edu.
Divya ChhabraChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA. redic@channing.harvard.edu.
Stephen I RennardUniversity of Nebraska Medical Center, Omaha, NE, USA. srennard@unmc.edu.
Paula BelloniGenentech, Member of the Roche Group, South San Francisco, CA, USA. belloni.paula@gene.com.
Anton BelousovRoche Innovation Center, Penzberg, Germany. anton.belousov@roche.com.
Sreekumar G PillaiHoffman La Roche, Nutley, NJ, USA. pillaisreekumar@yahoo.com.
Craig P HershChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA. craig.hersh@channing.harvard.edu.
Brigham and Women's Hospital · USLa Roche College · USRoche Pharma AG (Germany) · DEUniversity of California, San Diego · USUniversity of Nebraska Medical Center · US

Funding

Systems Biology, Bioinformatics, and BiostatisticsP01HL105339 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2011 to 2015
$12.2M
Using Networks to Assign Gene Function in Lung DiseaseR01HL111759 · NHLBI · DANA-FARBER CANCER INST · PI QUACKENBUSH, JOHN, SILVERMAN, EDWIN K · 2012 to 2015
$3.4M
LONG-TERM OXYGEN TREATMENT TRIAL (LOTT) PHARMACOGENOMICS ANCILLARY STUDYR01HL094635 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HERSH, CRAIG P · 2009 to 2014
$2.2M
PHARMACOGENOMICS OF INHALED CORTICOSTEROIDS TO REDUCE COPD EXACERBATIONSR01NR013377 · NINR · BRIGHAM AND WOMEN'S HOSPITAL · PI HERSH, CRAIG P · 2011 to 2013
$1.5M
NHLBI NIH HHS P01 HL105339NHLBI NIH HHS P01HL105339NHLBI NIH HHS R01 HL094635NHLBI NIH HHS R01HL094635NHLBI NIH HHS R01 HL111759NHLBI NIH HHS R01HL111759NINR NIH HHS R01 NR013377NINR NIH HHS R01NR013377
6 · The paper itself

Abstract

backgroundExacerbations of chronic obstructive pulmonary disease (COPD), characterized by acute deterioration in symptoms, may be due to bacterial or viral infections, environmental exposures, or unknown factors. Exacerbation frequency may be a stable trait in COPD patients, which could imply genetic susceptibility. Observing the genes, networks, and pathways that are up- and down-regulated in COPD patients with differing susceptibility to exacerbations will help to elucidate the molecular signature and pathogenesis of COPD exacerbations.

methodsGene expression array and plasma biomarker data were obtained using whole-blood samples from subjects enrolled in the Treatment of Emphysema With a Gamma-Selective Retinoid Agonist (TESRA) study. Linear regression, weighted gene co-expression network analysis (WGCNA), and pathway analysis were used to identify signatures and network sub-modules associated with the number of exacerbations within the previous year; other COPD-related phenotypes were also investigated.

resultsIndividual genes were not found to be significantly associated with the number of exacerbations. However using network methods, a statistically significant gene module was identified, along with other modules showing moderate association. A diverse signature was observed across these modules using pathway analysis, marked by differences in B cell and NK cell activity, as well as cellular markers of viral infection. Within two modules, gene set enrichment analysis recapitulated the molecular signatures of two gene expression experiments; one involving sputum from asthma exacerbations and another involving viral lung infections. The plasma biomarker myeloperoxidase (MPO) was associated with the number of recent exacerbations.

conclusionA distinct signature of COPD exacerbations may be observed in peripheral blood months following the acute illness. While not predictive in this cross-sectional analysis, these results will be useful in uncovering the molecular pathogenesis of COPD exacerbations.

Indexed as

Gene Expression ProfilingGenetic Predisposition to DiseaseAgedAlgorithmsBiomarkersComputational BiologyCross-Sectional StudiesEmphysemaFemaleHumansLinear ModelsMaleMiddle AgedPhenotypePulmonary Disease, Chronic ObstructiveSequence Analysis, RNABiomarkers

Identifiers

PMID25582225
PMCPMC4302028
OpenAlexW2076532880

What OpenQuestion holds

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Registered trials

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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.