Evidence map›Paper›PMID 23967151›Full record

SynthesisPloS one2013

Meta-analysis of genetic programs between idiopathic pulmonary fibrosis and sarcoidosis.

Dong Leng, Caijuan Huan, Ting Xie, Jiurong Liang, Jun Wang, Huaping Dai, Chen Wang, Dianhua Jiang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  7. Review
  8. Article
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  11. Article
  12. Article
  13. Identification of Immune-Relevant Factors Conferring Sarcoidosis Genetic Risk.American journal of respiratory and critical care medicine · 2015
    Article
  14. Molecular biomarkers in interstitial lung diseases.Molecular diagnosis & therapy · 2014
    Review
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.

Dong LengClinical Laboratory, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Caijuan Huan
Ting Xie
Jiurong Liang
Jun Wang
Huaping Dai
Chen Wang
Dianhua Jiang
Beijing Institute of Neurosurgery · CNDuke University · USBeijing Hospital · CNCapital Medical University · CNCedars-Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdiopathic pulmonary fibrosis (IPF) and pulmonary sarcoidosis are typical interstitial lung diseases with unknown etiology that cause lethal lung damages. There are notable differences between these two pulmonary disorders, although they do share some similarities. Gene expression profiles have been reported independently, but differences on the transcriptional level between these two entities have not been investigated. METHODS/

resultsAll expression data of lung tissue samples for IPF and sarcoidosis were from published datasets in the Gene Expression Omnibus (GEO) repository. After cross platform normalization, the merged sample data were grouped together and were subjected to statistical analysis for finding discriminate genes. Gene enrichments with their corresponding functions were analyzed by the online analysis engine "Database for Annotation, Visualization and Integrated Discovery" (DAVID) 6.7, and genes interactions and functional networks were further analyzed by STRING 9.0 and Cytoscape 3.0.0 Beta1. One hundred and thirty signature genes could potentially differentiate one disease state from another. Compared with normal lung tissue, tissue affected by IPF and sarcoidosis displayed similar signatures that concentrated on proliferation and differentiation. Distinctly expressed genes that could distinguish IPF from sarcoidosis are more enriched in processes of cilium biogenesis or degradation and regulating T cell activations. Key discriminative network modules involve aspects of bone morphogenetic protein receptor two (BMPR2) related and v-myb myeloblastosis viral oncogene (MYB) related proliferation.

conclusionsThis study is the first attempt to examine the transcriptional regulation of IPF and sarcoidosis across different studies based on different working platforms. Groups of significant genes were found to clearly distinguish one condition from the other. While IPF and sarcoidosis share notable similarities in cell proliferation, differentiation and migration, remarkable differences between the diseases were found at the transcription level, suggesting that the two diseases are regulated by overlapping yet distinctive transcriptional networks.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksHumansIdiopathic Pulmonary FibrosisSarcoidosis, Pulmonary

Identifiers

PMID23967151
PMCPMC3743918
OpenAlexW2042000600

What OpenQuestion holds

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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.