Evidence map›Paper›PMID 35628257›Full record

ArticleInternational journal of molecular sciences2022

Consensus Gene Co-Expression Network Analysis Identifies Novel Genes Associated with Severity of Fibrotic Lung Disease.

Sudhir Ghandikota, Mihika Sharma, Harshavardhana H Ediga, Satish K Madala, Anil G Jegga

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Impact of sex chromosomes and gonad type in stress susceptibility in corticostriatal brain regions.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  7. T Regulatory Mechanisms in Airway and Interstitial Lung Disease.Seminars in respiratory and critical care medicine · 2025
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  12. ER exit in physiology and disease.Frontiers in molecular biosciences · 2024
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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

5 authors at 1 institution in 2 countries.

Sudhir GhandikotaDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Mihika SharmaDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Harshavardhana H EdigaDivision of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.ORCID 0000-0002-2809-5449
Satish K MadalaDivision of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.ORCID 0000-0002-6042-5321
Anil G JeggaDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.ORCID 0000-0002-4881-7752
Cincinnati Children's Hospital Medical Center · US

Funding

WT1 REGULATION OF PULMONARY FIBROSISR01HL134801 · NHLBI · UNIVERSITY OF CINCINNATI · PI MADALA, SATISH K · 2017 to 2025
$3.9M
Sox9 Regulation of Fibroblast Activation and Pulmonary FibrosisR01HL157176 · NHLBI · UNIVERSITY OF CINCINNATI · PI MADALA, SATISH K · 2021 to 2025
$2.5M
Cincinnati Children's Hospital Medical Center Not ApplicableNational Heart Lung and Blood Institute 1R01 HL134801National Heart Lung and Blood Institute 1R01 HL157176NHLBI NIH HHS R01 HL134801NHLBI NIH HHS R01 HL157176
6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) is a severe fibrotic lung disease characterized by irreversible scarring of the lung parenchyma leading to dyspnea, progressive decline in lung function, and respiratory failure. We analyzed lung transcriptomic data from independent IPF cohorts using weighted gene co-expression network analysis (WGCNA) to identify gene modules based on their preservation status in these cohorts. The consensus gene modules were characterized by leveraging existing clinical and molecular data such as lung function, biological processes, pathways, and lung cell types. From a total of 32 consensus gene modules identified, two modules were found to be significantly correlated with the disease, lung function, and preserved in other IPF datasets. The upregulated gene module was enriched for extracellular matrix, collagen metabolic process, and BMP signaling while the downregulated module consisted of genes associated with tube morphogenesis, blood vessel development, and cell migration. Using a combination of connectivity-based and trait-based significance measures, we identified and prioritized 103 "hub" genes (including 25 secretory candidate biomarkers) by their similarity to known IPF genetic markers. Our validation studies demonstrate the dysregulated expression of

Indexed as

Idiopathic Pulmonary FibrosisConsensusGene Regulatory NetworksHumansLungTranscriptomeconsensus network analysisCRABP2gene modulesIdiopathic pulmonary fibrosislung fibrosisweighted gene co-expression network analysis

Identifiers

PMID35628257
PMCPMC9141193
OpenAlexW4280637257

What OpenQuestion holds

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LicenceCC BY
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.