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pmid:38348310

Identification and Characterization of a ceRNA Regulatory Network Involving LINC00482 and PRRC2B in Peripheral Blood Mononuclear Cells: Implications for COPD Pathogenesis and Diagnosis.

Wenjie Huang · Ting Luo · Mengqiu Lan · Wenting Zhou · Ming Zhang · Lihong Wu · Zhenni Lu · Li Fan

International journal of chronic obstructive pulmonary disease · 2024 doi:10.2147/COPD.S437046

Paper

complete

Experiment

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Data

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Analysis

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title
Identification and Characterization of a ceRNA Regulatory Network Involving LINC00482 and PRRC2B in Peripheral Blood Mononuclear Cells: Implications for COPD Pathogenesis and Diagnosis.
doi
10.2147/COPD.S437046
pmid
38348310
authors array · 8 items
[0]
Wenjie Huang
[1]
Ting Luo
[2]
Mengqiu Lan
[3]
Wenting Zhou
[4]
Ming Zhang
[5]
Lihong Wu
[6]
Zhenni Lu
[7]
Li Fan
journal
International journal of chronic obstructive pulmonary disease
year
2024
abstract
Purpose: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide, characterized by intense lung infiltrations of immune cells (macrophages and monocytes). While existing studies have highlighted the crucial role of the competitive endogenous RNA (ceRNA) regulatory network in COPD development, the complexity and characteristics of the ceRNA network in monocytes remain unexplored. Methods: We downloaded messenger RNA (mRNA), microRNA (miRNA), and long noncoding RNA (lncRNA) microarray data from GSE146560, GSE102915, and GSE71220 in the Gene Expression Omnibus (GEO) database. This data was used to identify differentially expressed mRNAs (DEmRNAs), miRNAs (DEmiRNAs), and lncRNAs (DElncRNAs). Predicted miRNAs that bind to DElncRNAs were intersected with DEmiRNAs, forming a set of intersecting miRNAs. This set was then used to predict potential binding mRNAs, intersected with DEmRNAs, and underwent functional enrichment analysis using R software and the STRING database. The resulting triple regulatory network and hub genes were constructed using Cytoscape. Comparative Toxicomics Database (CTD) was utilized for disease correlation predictions, and ROC curve analysis assessed diagnostic accuracy. Results: Our study identified 5 lncRNAs, 4 miRNAs, and 149 mRNAs as differentially expressed. A lncRNA-miRNA-mRNA regulatory network was constructed, and hub genes were selected through hub analysis. Enrichment analysis highlighted terms related to cell movement and gene expression regulation. We established a LINC00482-has-miR-6088-PRRC2B ceRNA network with diagnostic relevance for COPD. ROC analysis demonstrated the diagnostic value of these genes. Moreover, a positive correlation between LINC00482 and PRRC2B expression was observed in COPD PBMCs. The CTD database indicated their involvement in inflammatory responses. Conclusion: In summary, our study not only identified pivotal hub genes in peripheral blood mononuclear cells (PBMCs) of COPD but also constructed a ceRNA regulatory network. This contributes to understanding the pathophysiological processes of COPD through bioinformatics analysis, expanding our knowledge of COPD, and providing a foundation for potential diagnostic and therapeutic targets for COPD.
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To evaluate the diagnostic value of hub genes, ROC curve analysis was performed using the R package pROC.
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sections[7] "The Receiver Operating Characteristic (ROC) Curves of Hub Genes" paragraph 2
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To evaluate the diagnostic value of hub genes, ROC curve analysis was performed using the R package pROC.
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The datasets generated and/or analyzed during the current study are available in the GEO repository (https://www.ncbi.nlm.nih.gov/geo/).
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The study identified 5 lncRNAs, 4 miRNAs, and 149 mRNAs as differentially expressed and established a LINC00482-has-miR-6088-PRRC2B ceRNA network with diagnostic relevance for COPD.
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Our study identified 5 lncRNAs, 4 miRNAs, and 149 mRNAs as differentially expressed.
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sections[0] "Abstract" paragraph 3
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We established a LINC00482-has-miR-6088-PRRC2B ceRNA network with diagnostic relevance for COPD.
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The study identified 5 lncRNAs, 4 miRNAs, and 149 mRNAs as differentially expressed and established a LINC00482-has-miR-6088-PRRC2B ceRNA network with diagnostic relevance for COPD.
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sample_count
617
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11532
taxon
Homo sapiens
title
The effect of statins on blood gene expression in COPD
resolution_checked_at
2026-11-01T15:39:55Z
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[4]
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[5]
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tier
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single_reader
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paper
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GEO GSE102915
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38348310", "kind": "science-record", "revision": 4, "content_hash": "sha256:f00da25a6d09790da2d230e44886919a8a8ca7fdc4a76b31222c845cb15252aa", "created_at": "2026-11-01T19:20:17Z", "updated_at": "2026-11-01T22:53:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Characterization of a ceRNA Regulatory Network Involving LINC00482 and PRRC2B in Peripheral Blood Mononuclear Cells: Implications for COPD Pathogenesis and Diagnosis.", "doi": "10.2147/COPD.S437046", "pmid": "38348310", "authors": ["Wenjie Huang", "Ting Luo", "Mengqiu Lan", "Wenting Zhou", "Ming Zhang", "Lihong Wu", "Zhenni Lu", "Li Fan"], "journal": "International journal of chronic obstructive pulmonary disease", "year": 2024, "abstract": "Purpose: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide, characterized by intense lung infiltrations of immune cells (macrophages and monocytes). While existing studies have highlighted the crucial role of the competitive endogenous RNA (ceRNA) regulatory network in COPD development, the complexity and characteristics of the ceRNA network in monocytes remain unexplored.\nMethods: We downloaded messenger RNA (mRNA), microRNA (miRNA), and long noncoding RNA (lncRNA) microarray data from GSE146560, GSE102915, and GSE71220 in the Gene Expression Omnibus (GEO) database. This data was used to identify differentially expressed mRNAs (DEmRNAs), miRNAs (DEmiRNAs), and lncRNAs (DElncRNAs). Predicted miRNAs that bind to DElncRNAs were intersected with DEmiRNAs, forming a set of intersecting miRNAs. This set was then used to predict potential binding mRNAs, intersected with DEmRNAs, and underwent functional enrichment analysis using R software and the STRING database. The resulting triple regulatory network and hub genes were constructed using Cytoscape. Comparative Toxicomics Database (CTD) was utilized for disease correlation predictions, and ROC curve analysis assessed diagnostic accuracy.\nResults: Our study identified 5 lncRNAs, 4 miRNAs, and 149 mRNAs as differentially expressed. A lncRNA-miRNA-mRNA regulatory network was constructed, and hub genes were selected through hub analysis. Enrichment analysis highlighted terms related to cell movement and gene expression regulation. We established a LINC00482-has-miR-6088-PRRC2B ceRNA network with diagnostic relevance for COPD. ROC analysis demonstrated the diagnostic value of these genes. Moreover, a positive correlation between LINC00482 and PRRC2B expression was observed in COPD PBMCs. The CTD database indicated their involvement in inflammatory responses.\nConclusion: In summary, our study not only identified pivotal hub genes in peripheral blood mononuclear cells (PBMCs) of COPD but also constructed a ceRNA regulatory network. 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