Evidence map›Paper›PMID 32982206›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2020

Construction of Potential miRNA-mRNA Regulatory Network in COPD Plasma by Bioinformatics Analysis.

Mengchan Zhu, Maosong Ye, Jian Wang, Ling Ye, Meiling Jin

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
3.5field-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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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  4. Research Progress on the Mechanisms of High Mucus Secretion in the Airway: A Scoping Review.International journal of chronic obstructive pulmonary disease · 2026
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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 1 country.

Mengchan Zhu *Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Maosong Ye *Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-9821-2575
Jian WangDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Ling YeDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-2190-7248
Meiling JinDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) has become a major cause of morbidity and mortality worldwide. Increasing evidence indicates that aberrantly expressed microRNAs (miRNAs) are involved in the pathogenesis of COPD. However, an integrative exploration of miRNA-mRNA regulatory network in COPD plasma remains lacking. Methods: The microarray datasets GSE24709, GSE61741, and GSE31568 were downloaded from the GEO database and analyzed using GEO2R tool to identify differentially expressed miRNAs (DEMs) between COPD and normal plasma. The consistently changing miRNAs in the three datasets were screened out as candidate DEMs. Potential upstream transcription factors and downstream target genes of candidate DEMs were predicted by FunRich and miRNet, respectively. Next, GO annotation and KEGG pathway enrichment analysis for target genes were performed using DAVID. Then, PPI and DEM-hub gene network were constructed using the STRING database and Cytoscape software. Finally, GSE56768 was used to evaluate the hub gene expressions. Results: A total of nine (six upregulated and three downregulated) DEMs were screened out in the above three datasets. SP1 was predicted to potentially regulate most of the downregulated DEMs, while YY1 and E2F1 could regulate both upregulated and downregulated DEMs. 1139 target genes were then predicted, including 596 upregulated DEM target genes and 543 downregulated DEM target genes. Target genes of DEMs were mainly enriched in PI3K/Akt signaling pathway, mTOR signaling pathway, and autophagy. Through the DEM-hub gene network construction, most of the hub genes were found to be potentially modulated by miR-497-5p, miR-130b-5p, and miR-126-5p. Among the top 12 hub genes, MYC and FOXO1 expressions were consistent with that in the GSE56768 dataset. Conclusion: In the study, potential miRNA-mRNA regulatory network was firstly constructed in COPD plasma, which may provide a new insight into the pathogenesis and treatment of COPD.

Indexed as

MicroRNAsPulmonary Disease, Chronic ObstructiveComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPhosphatidylinositol 3-KinasesPlasmaRNA, MessengerMicroRNAsMIRN497 microRNA, humanPhosphatidylinositol 3-KinasesRNA, Messengerbioinformatics analysischronic obstructive pulmonary disease (COPD)microRNAs (miRNAs)miRNA–mRNA regulatory network

Identifiers

PMID32982206
PMCPMC7490070
OpenAlexW3084330552

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.