Open Access

Competing endogenous RNA network analysis for screening inflammation‑related long non‑coding RNAs for acute ischemic stroke

  • Authors:
    • Li Zhang
    • Baihui Liu
    • Jinhua Han
    • Tingting Wang
    • Lin Han
  • View Affiliations

  • Published online on: August 4, 2020     https://doi.org/10.3892/mmr.2020.11415
  • Pages: 3081-3094
  • Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Long non‑coding RNAs (lncRNAs) represent potential biomarkers for the diagnosis and treatment of various diseases; however, the role of circulating acute ischemic stroke (AIS)‑related lncRNAs remains relatively unknown. The present study aimed to screen crucial lncRNAs for AIS based on the competing endogenous RNA (ceRNA) hypothesis. The expression profile datasets for one mRNA, accession no. GSE16561, and four microRNAs (miRNAs), accession nos. GSE95204, GSE86291, GSE55937 and GSE110993, were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs), lncRNAs (DELs), and miRNAs (DEMs) were identified, and ClusterProfiler was used to interpret the function of the DEGs. Based on the protein‑protein interaction (PPI) network and module analyses, hub DEGs were identified. A ceRNA network was established based on miRNA‑mRNA or miRNA‑lncRNA interaction pairs. In total, 2,041 DEGs and 5 DELs were identified between the AIS and controls samples in GSE16561, and 10 DEMs between at least two of the four miRNA expression profiles. A PPI network was constructed with 1,235 DEGs, among which 20 genes were suggested to be hub genes. The hub genes paxillin (PXN), FYN‑proto‑oncogene, Src family tyrosine kinase (FYN), ras homolog family member A (RHOA), STAT1, and growth factor receptor‑bound protein 2 (GRB2), were amongst the most significantly enriched modules extracted from the PPI network. Functional analysis revealed that these hub genes were associated with inflammation‑related signaling pathways. An AIS‑related ceRNA network was constructed, in which 4 DELs were predicted to function as ceRNAs for 9 DEMs, to regulate the five identified hub genes; that is, minichromosome maintenance complex component 3 associated protein‑antisense RNA 1 (MCM3AP‑AS1)/long intergenic non‑protein coding RNA 1089 (LINC01089)/hsa‑miRNA (miR)‑125a/FYN, inositol‑tetrakisphosphate 1‑kinase‑antisense RNA 1 (ITPK1‑AS1)/hsa‑let‑7i/RHOA/GRB2/STAT1, and human leukocyte antigen complex group 27 (HCG27)/hsa‑­miR‑19a/PXN interaction axes. In conclusion, MCM3AP‑AS1, LINC01089, ITPK1‑AS1, and HCG27 may represent new biomarkers and underlying targets for the treatment of AIS.
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October-2020
Volume 22 Issue 4

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Spandidos Publications style
Zhang L, Liu B, Han J, Wang T and Han L: Competing endogenous RNA network analysis for screening inflammation‑related long non‑coding RNAs for acute ischemic stroke. Mol Med Rep 22: 3081-3094, 2020
APA
Zhang, L., Liu, B., Han, J., Wang, T., & Han, L. (2020). Competing endogenous RNA network analysis for screening inflammation‑related long non‑coding RNAs for acute ischemic stroke. Molecular Medicine Reports, 22, 3081-3094. https://doi.org/10.3892/mmr.2020.11415
MLA
Zhang, L., Liu, B., Han, J., Wang, T., Han, L."Competing endogenous RNA network analysis for screening inflammation‑related long non‑coding RNAs for acute ischemic stroke". Molecular Medicine Reports 22.4 (2020): 3081-3094.
Chicago
Zhang, L., Liu, B., Han, J., Wang, T., Han, L."Competing endogenous RNA network analysis for screening inflammation‑related long non‑coding RNAs for acute ischemic stroke". Molecular Medicine Reports 22, no. 4 (2020): 3081-3094. https://doi.org/10.3892/mmr.2020.11415