Current issue
Archive
Manuscripts accepted
About the Journal
Editorial office
Editorial board
Section Editors
Abstracting and indexing
Subscription
Contact
Ethical standards and procedures
Most read articles
Instructions for authors
Article Processing Charge (APC)
Regulations of paying article processing charge (APC)
AORTIC DISEASE / BASIC RESEARCH
Comprehensive analysis of the lncRNA-miRNA-mRNA ceRNA network in aortic dissection
1
Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
Submission date: 2020-04-16
Final revision date: 2020-05-31
Acceptance date: 2020-06-19
Online publication date: 2020-07-15
Publication date: 2026-02-28
Corresponding author
Jichun Liu
Department of Cardiovascular Surgery The First Affiliated Hospital of Nanchang University Nanchang, China
Department of Cardiovascular Surgery The First Affiliated Hospital of Nanchang University Nanchang, China
Arch Med Sci 2026;22(1):355-364
KEYWORDS
aortic dissectionlong non-coding RNAcompetitive endogenous RNAGEOlong noncoding RNAGene Expression Omnibus
TOPICS
ABSTRACT
Introduction:
Aortic dissection (AD) is a critical cardiovascular system disease caused by blood in the aortic cavity penetrating into the middle layer of the aortic wall through the intimal rift and extending along the long axis of the aorta. Studies have shown that long noncoding RNAs (lncRNAs) can bind to microRNAs (miRNAs) as competing endogenous RNAs (ceRNAs) and further affect the levels of target mRNAs. The purpose of this study was to construct and analyse the lncRNA-miRNA-mRNA ceRNA network in AD.
Material and methods:
We first downloaded the AD expression data of five normal samples and seven AD samples from the Gene Expression Omnibus (GEO) database (GSE52093) and identified differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of DEmRNAs were performed using the DAVID and KOBAS online databases. The ceRNA network was constructed by using the miRcode, miRDB, miRTarBase, and TargetScan databases and visualised by Cytoscape v3.6.1. In addition, a protein-protein interaction (PPI) network of DEmRNAs was also constructed.
Results:
In total, 13 lncRNAs and 472 mRNAs were identified as significantly differentially expressed between the AD and normal samples (|logFC| > 1.0, false discovery rate (FDR) < 0.05). In addition, seven lncRNAs, 18 miRNAs, and 48 mRNAs contributed to the construction of the ceRNA network.
Conclusions:
We confirmed the DElncRNAs and DEmRNAs in AD and constructed a lncRNA-miRNA-mRNA ceRNA network by using bioinformatics methods, which may provide a novel perspective for the diagnosis of, and potential therapeutic targets for, AD.
Aortic dissection (AD) is a critical cardiovascular system disease caused by blood in the aortic cavity penetrating into the middle layer of the aortic wall through the intimal rift and extending along the long axis of the aorta. Studies have shown that long noncoding RNAs (lncRNAs) can bind to microRNAs (miRNAs) as competing endogenous RNAs (ceRNAs) and further affect the levels of target mRNAs. The purpose of this study was to construct and analyse the lncRNA-miRNA-mRNA ceRNA network in AD.
Material and methods:
We first downloaded the AD expression data of five normal samples and seven AD samples from the Gene Expression Omnibus (GEO) database (GSE52093) and identified differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of DEmRNAs were performed using the DAVID and KOBAS online databases. The ceRNA network was constructed by using the miRcode, miRDB, miRTarBase, and TargetScan databases and visualised by Cytoscape v3.6.1. In addition, a protein-protein interaction (PPI) network of DEmRNAs was also constructed.
Results:
In total, 13 lncRNAs and 472 mRNAs were identified as significantly differentially expressed between the AD and normal samples (|logFC| > 1.0, false discovery rate (FDR) < 0.05). In addition, seven lncRNAs, 18 miRNAs, and 48 mRNAs contributed to the construction of the ceRNA network.
Conclusions:
We confirmed the DElncRNAs and DEmRNAs in AD and constructed a lncRNA-miRNA-mRNA ceRNA network by using bioinformatics methods, which may provide a novel perspective for the diagnosis of, and potential therapeutic targets for, AD.
REFERENCES (46)
1.
Riambau V, Bockler D, Brunkwall J, et al. Editor’s choice – management of descending thoracic aorta diseases: clinical practice guidelines of the European Society for Vascular Surgery (ESVS). Eur J Vasc Endovasc Surg 2017; 53: 4-52.
2.
Gawinecka J, Schonrath F, von Eckardstein A. Acute aortic dissection: pathogenesis, risk factors and diagnosis. Swiss Med Wkly 2017; 147: w14489.
3.
Homme JL, Aubry MC, Edwards WD, et al. Surgical pathology of the ascending aorta: a clinicopathologic study of 513 cases. Am J Surg Pathol 2006; 30: 1159-68.
4.
Pacini D, Di Marco L, Fortuna D, et al. Acute aortic dissection: epidemiology and outcomes. Int J Cardiol 2013; 167: 2806-12.
5.
Sidloff D, Choke E, Stather P, et al. Mortality from thoracic aortic diseases and associations with cardiovascular risk factors. Circulation 2014; 130: 2287-94.
6.
Zhao Z, Wang Y, Li S, et al. HSP90 inhibitor 17-DMAG effectively alleviated the progress of thoracic aortic dissection by suppressing smooth muscle cell phenotypic switch. Am J Transl Res 2019; 11: 509-18.
7.
Cheng J, Zhou X, Jiang X, Sun T. Deletion of ACTA2 in mice promotes angiotensin II induced pathogenesis of thoracic aortic aneurysms and dissections. J Thorac Dis 2018; 10: 4733-40.
8.
An Z, Qiao F, Lu Q, et al. Interleukin-6 downregulated vascular smooth muscle cell contractile proteins via ATG4B-mediated autophagy in thoracic aortic dissection. Heart Vessels 2017; 32: 1523-35.
9.
Xu R, Han Y. Long non-coding RNA FOXF1 adjacent non-coding developmental regulatory RNA inhibits growth and chemotherapy resistance in non-small cell lung cancer. Arch Med Sci 2019; 15: 1539-46.
10.
Yu P, Guo J, Li J, Chen W, Zhao T. Co-expression network analysis revealing the key lncRNAs in diabetic foot ulcers. Arch Med Sci 2019; 15: 1123-32.
11.
Necsulea A, Soumillon M, Warnefors M, et al. The evolution of lncRNA repertoires and expression patterns in tetrapods. Nature 2014; 505: 635-40.
12.
Jiang L, Hong L, Yang W, et al. Co-expression network analysis of the lncRNAs and mRNAs associated with cervical cancer progression. Arch Med Sci 2019; 15: 754-64.
13.
Liu X, Wang M, Cui Y. LncRNA TP73-AS1 interacted with miR-141-3p to promote the proliferation of non-small cell lung cancer. Arch Med Sci 2019; 15: 1547-54.
14.
Fila M, Pawlowska E, Blasiak J. Mitochondria in migraine pathophysiology – does epigenetics play a role? Arch Med Sci 2019; 15: 944-56.
15.
Kaneko H, Terasaki H. Biological involvement of microRNAs in proliferative vitreoretinopathy. Transl Vis Sci Technol 2017; 6: 5.
16.
Shan H, Zhang Y, Lu Y, et al. Downregulation of miR-133 and miR-590 contributes to nicotine-induced atrial remodelling in canines. Cardiovasc Res 2009; 83: 465-72.
17.
Li Y, Huang J, Jiang Z, et al. MicroRNA-145 regulates platelet-derived growth factor-induced human aortic vascular smooth muscle cell proliferation and migration by targeting CD40. Am J Transl Res 2016; 8: 1813-25.
18.
Kimura N, Futamura K, Arakawa M, et al. Gene expression profiling of acute type A aortic dissection combined with in vitro assessment. Eur J Cardiothorac Surg 2017; 52: 810-7.
19.
Salmena L, Poliseno L, Tay Y, Kats L, Pandolfi PP. A ce-RNA hypothesis: the Rosetta Stone of a hidden RNA language? Cell 2011; 146: 353-8.
20.
Wang WT, Ye H, Wei PP, et al. LncRNAs H19 and HULC, activated by oxidative stress, promote cell migration and invasion in cholangiocarcinoma through a ceRNA manner. J Hematol Oncol 2016; 9: 117.
21.
Li D, Yang M, Liao A, et al. Linc00483 as ceRNA regulates proliferation and apoptosis through activating MAPKs in gastric cancer. J Cell Mol Med 2018; 22: 3875-86.
22.
Guo Z, Cao Y. An lncRNAmiRNAmRNA ceRNA network for adipocyte differentiation from human adipose-derived stem cells. Mol Med Rep 2019; 19: 4271-87.
23.
Wang K, Liu F, Zhou LY, et al. The long noncoding RNA CHRF regulates cardiac hypertrophy by targeting miR-489. Circ Res 2014; 114: 1377-88.
24.
Liang H, Pan Z, Zhao X, et al. LncRNA PFL contributes to cardiac fibrosis by acting as a competing endogenous RNA of let-7d. Theranostics 2018; 8: 1180-94.
25.
Shan K, Jiang Q, Wang XQ, et al. Role of long non-coding RNA-RNCR3 in atherosclerosis-related vascular dysfunction. Cell Death Dis 2016; 7: e2248.
26.
Li Z, Wang X, Wang W, et al. Altered long non-coding RNA expression profile in rabbit atria with atrial fibrillation: TCONS_00075467 modulates atrial electrical remodeling by sponging miR-328 to regulate CACNA1C. J Mol Cell Cardiol 2017; 108: 73-85.
27.
Pan S, Wu D, Teschendorff AE, et al. JAK2-centered interactome hotspot identified by an integrative network algorithm in acute Stanford type A aortic dissection. PLoS One 2014; 9: e89406.
28.
Ritchie ME, Phipson B, Wu D, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 2015; 43: e47.
29.
Wang W, Wang T, Wang Y, et al. Integration of gene expression profile data to verify hub genes of patients with Stanford A aortic dissection. Biomed Res Int 2019; 2019: 3629751.
30.
Jiang T, Si L. Identification of the molecular mechanisms associated with acute type A aortic dissection through bioinformatics methods. Braz J Med Biol Res 2019; 52: e8950.
31.
Erhart P, Brandt T, Straub BK, et al. Familial aortic disease and a large duplication in chromosome 16p13.1. Mol Genet Genom Med 2018; 6: 441-5.
32.
Ren Y, Tang Q, Liu W, et al. Serum biomarker identification by mass spectrometry in acute aortic dissection. Cell Physiol Biochem 2017; 44: 2147-57.
33.
Tang DD, Gerlach BD. The roles and regulation of the actin cytoskeleton, intermediate filaments and microtubules in smooth muscle cell migration. Respir Res 2017; 18: 54.
34.
Yardimci H, Walter JC. Prereplication-complex formation: a molecular double take? Nat Struct Mol Biol 2014; 21: 20-5.
35.
Kikuchi J, Kinoshita I, Shimizu Y, et al. Minichromosome maintenance (MCM) protein 4 as a marker for proliferation and its clinical and clinicopathological significance in non-small cell lung cancer. Lung Cancer 2011; 72: 229-37.
36.
Huang XP, Zhang X, Su XD, et al. Expression and significance of MCM4 in esophageal cancer. Ai Zheng 2007; 26: 96-9.
37.
Du W, Pan Z, Chen X, et al. By targeting Stat3 micro-RNA-17-5p promotes cardiomyocyte apoptosis in response to ischemia followed by reperfusion. Cell Physiol Biochem 2014; 34: 955-65.
38.
Peng L, Li S, Li Y, et al. Regulation of BTG3 by micro-RNA-20b-5p in non-small cell lung cancer. Oncol Lett 2019; 18: 137-44.
39.
Huang SC, Wang M, Wu WB, et al. Mir-22-3p inhibits arterial smooth muscle cell proliferation and migration and neointimal hyperplasia by targeting HMGB1 in arteriosclerosis obliterans. Cell Physiol Biochem 2017; 42: 2492-506.
40.
Porcelli S, Crisafulli C, Donato L, et al. Role of neurodevelopment involved genes in psychiatric comorbidities and modulation of inflammatory processes in Alzheimer’s disease. J Neurol Sci 2016; 370: 162-6.
41.
Dong G, Pan T, Zhou D, et al. FBXL19-AS1 promotes cell proliferation and inhibits cell apoptosis via miR-876-5p/FOXM1 axis in breast cancer. Acta Biochim Biophys Sin 2019; 51: 1106-13.
42.
Jiang Q, Cheng L, Ma D, Zhao Y. FBXL19-AS1 exerts oncogenic function by sponging miR-431-5p to regulate RAF1 expression in lung cancer. Biosci Rep 2019; 39: pii: BSR20181804.
43.
Lei H, Gao Y, Xu X. LncRNA TUG1 influences papillary thyroid cancer cell proliferation, migration and EMT formation through targeting miR-145. Acta Biochim Biophys Sin 2017; 49: 588-97.
44.
Li FP, Lin DQ, Gao LY. LncRNA TUG1 promotes proliferation of vascular smooth muscle cell and atherosclerosis through regulating miRNA-21/PTEN axis. Eur Rev Med Pharmacol Sci 2018; 22: 7439-47.
45.
Wei GH, Wang X. lncRNA MEG3 inhibit proliferation and metastasis of gastric cancer via p53 signaling pathway. Eur Rev Med Pharmacol Sci 2017; 21: 3850-6.
46.
Wang M, Li C, Zhang Y, et al. LncRNA MEG3-derived miR-361-5p regulate vascular smooth muscle cells proliferation and apoptosis by targeting ABCA1. Am J Transl Res 2019; 11: 3600-9.
| eISSN: | 1896-9151 |
| ISSN: | 1734-1922 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
