Evidence map›Paper›PMID 30366970›Full record

ArticleThorax2019

Gene correlation network analysis to identify regulatory factors in idiopathic pulmonary fibrosis.

John E McDonough, Naftali Kaminski, Bernard Thienpont, James C Hogg, Bart M Vanaudenaerde, Wim A Wuyts

Open access · hybridAbstract read
In one paragraph

Article in Thorax, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

John E McDonoughLaboratory of Respiratory Diseases, Department of Chronic Diseases, Metabolism, and Ageing, KU Leuven, Leuven, Belgium.
Naftali KaminskiSection of Pulmonary, Critical Care, and Sleep Medicine, Yale University, New Haven, Connecticut, USA.ORCID 0000-0001-5917-4601
Bernard ThienpontLaboratory for Functional Epigenetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
James C HoggCentre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada.
Bart M VanaudenaerdeLaboratory of Respiratory Diseases, Department of Chronic Diseases, Metabolism, and Ageing, KU Leuven, Leuven, Belgium.
Wim A WuytsLaboratory of Respiratory Diseases, Department of Chronic Diseases, Metabolism, and Ageing, KU Leuven, Leuven, Belgium.
KU Leuven · BEUniversity of British Columbia · CAYale University · US

Funding

Genomic Analysis of Tissue and Cellular Heterogeneity in IPFR01HL127349 · NHLBI · YALE UNIVERSITY · PI BENOS, PANAGIOTIS V, KAMINSKI, NAFTALI · 2015 to 2025
$5.9M
NHLBI NIH HHS R01 HL127349
6 · The paper itself

Abstract

backgroundIdiopathic pulmonary fibrosis (IPF) is a severe lung disease characterised by extensive pathological changes. The objective for this study was to identify the gene network and regulators underlying disease pathology in IPF and its association with lung function.

methodsLung Tissue Research Consortium dataset with 262 IPF and control subjects (GSE47460) was randomly divided into two non-overlapping groups for cross-validated differential gene expression analysis. Consensus weighted gene coexpression network analysis identified overlapping coexpressed gene modules between both IPF groups. Modules were correlated with lung function (diffusion capacity, DL

resultsCorrelation network analysis identified 16 modules in IPF. Upregulated modules were associated with cilia, DNA replication and repair, contractile fibres, B-cell and unfolded protein response, and extracellular matrix. Downregulated modules were associated with blood vessels, T-cell and interferon responses, leucocyte activation and degranulation, surfactant metabolism, and cellular metabolic and catabolic processes. Lung function correlated with nine modules (eight with DL

conclusionsWe identified a correlation gene expression network with associated regulators in IPF that provides novel insight into the pathological process of this disease.

Indexed as

AgedFemaleGene Regulatory NetworksGenetic Predisposition to DiseaseHumansIdiopathic Pulmonary FibrosisLungMaleMiddle AgedReproducibility of ResultsRespiratory Function TestsSurvival AnalysisTranscriptomeidiopathic pulmonary fibrosis

Identifiers

PMID30366970
PMCPMC6467239
OpenAlexW2898553729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.