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pmid:36305047

Identification of potential lncRNA-miRNA-mRNA regulatory network contributing to aldosterone-producing adenoma.

Minghui Bao · Haotong Li · Jianping Li

Journal of cellular and molecular medicine · 2022 doi:10.1111/jcmm.17586

Paper

complete

Experiment

complete

Data

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Analysis

partial

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Identification of potential lncRNA-miRNA-mRNA regulatory network contributing to aldosterone-producing adenoma.
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10.1111/jcmm.17586
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Minghui Bao
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Haotong Li
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Jianping Li
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Journal of cellular and molecular medicine
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2022
abstract
Aldosterone-producing adenoma (APA) is a common cause of secondary hypertension. This study aimed to explore the lncRNA-miRNA-mRNA competitive endogenous RNA (ceRNA) network to uncover molecular mechanism underlying APA. The mRNA and lncRNA expression data of APA and adjacent adrenal gland (AAG) from GSE60044, GSE64957 and GSE101894 were obtained from the Gene Expression Omnibus (GEO) database to analyse differentially expressed genes (DEGs) and lncRNAs (DElncs). Hub genes were identified by robust rank aggregation (RRA) and protein-protein interaction (PPI) network analysis. The miRcode and miRWalk network tools were used to construct the ceRNA network. 1526 upregulated and 1512 downregulated DEGs were identified, which are mainly enriched in extracellular matrix and Ca2 + -related GO terms. In the KEGG pathway analysis, Ca2+ signalling and the aldosterone synthesis and secretion pathways were enriched. ceRNA network included 2 lncRNAs, 9 miRNAs, and 13 mRNAs. The lncRNAs are MEG3 and LINC00115. The mRNAs included CCND1, TP53, GPRC5B, BMI1, COMMD3-BMI1, ADAMTS15, STAT3, MMP2, SCN2B, CXCL12, HGF, FOS, and THBS1. Overall, this study conducted a ceRNA regulatory network analysis and identified that 2 lncRNAs and 13 mRNAs may contribute to the development of APA. These findings may provide novel diagnostic and intervention targets for APA.
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1526 upregulated and 1512 downregulated DEGs were identified, which are mainly enriched in extracellular matrix and Ca2 +‐related GO terms.
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The mRNA and lncRNA expression data of APA and adjacent adrenal gland (AAG) from GSE60044, GSE64957 and GSE101894 were obtained from the Gene Expression Omnibus (GEO) database to analyse differentially expressed genes (DEGs) and lncRNAs (DElncs). Hub genes were identified by robust rank aggregation (RRA) and protein-protein interaction (PPI) network analysis. The miRcode and miRWalk network tools were used to construct the ceRNA network. 1526 upregulated and 1512 downregulated DEGs were identified, which are mainly enriched in extracellular matrix and Ca2 + -related GO terms. In the KEGG pathway analysis, Ca2+ signalling and the aldosterone synthesis and secretion pathways were enriched. ceRNA network included 2 lncRNAs, 9 miRNAs, and 13 mRNAs. The lncRNAs are MEG3 and LINC00115. The mRNAs included CCND1, TP53, GPRC5B, BMI1, COMMD3-BMI1, ADAMTS15, STAT3, MMP2, SCN2B, CXCL12, HGF, FOS, and THBS1. Overall, this study conducted a ceRNA regulatory network analysis and identified that 2 lncRNAs and 13 mRNAs may contribute to the development of APA. These findings may provide novel diagnostic and intervention targets for APA.", "claims": [{"id": "claim-method", "statement": "Robust rank aggregation (RRA) approach was applied to integrate the three GSE datasets.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36305047", "locator": "sections[11] \"RRA method identifies robust DEGs\" paragraph 2", "quote": "Robust rank aggregation (RRA) approach was applied to integrate the three GSE datasets."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Generated Statement: Publicly available datasets were analysed in this study. 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