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Identification of Key Molecules and lncRNA-miRNA-mRNA ceRNA Network in Preeclampsia.

AbstractBACKGROUND:
Preeclampsia (PE) is an idiopathic hypertensive disorder of pregnancy and is the leading cause of maternal death, fetal malformation, and premature birth. The purpose of this study is to identify the key molecules and lncRNA-related competitive endogenous (ceRNA) regulatory network in PE.
METHODS:
The differentially expressed mRNAs (DEGs), lncRNAs (DELs), and miRNAs (DEMs) were identified between PE and control using the Deseq R package. In addition, we performed Geno ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) on DEGs and DELs-target genes to explore their function. The ceRNA network was established based on lncRNA-miRNA and miRNA-mRNA interactions and visualized using Cytoscape software. LINCO2532, SLCO4A1-AS1, miR23a-5p, and DYNLRB1 were selected for qRT-PCR assay.
RESULTS:
Using microarray analysis, we screened 726 DELs (456 upregulated and 370 downregulated), 49 DEMs (37 upregulated and 12 downregulated), and 318 DEGs (230 upregulated and 88 downregulated) between PE patients and control. Based on lncRNA-miRNA pairs and miRNA-mRNA pairs, the ceRNA network was constructed, which contained 16 lncRNA, 1 miRNA (miR-23a-5p), and 1 mRNA (DYNLRB1). LncRNA (LINCO2532 and SLCO4A1-AS1) and DYNLRB1 were downregulated and the expression of miR23a-5p was upregulated in PE patients compared with healthy controls.
CONCLUSION:
In this study, the novel ceRNA network was established in the placentas of PE patients. It elucidated the regulatory mechanism of PE, and identified novel PE biomarkers, which have important guiding significance for clinical treatment and further scientific research of PE.
AuthorsShu Luo, Lina Wang, Shuming Li, Hongwei Wang, Sujing Huang, Zhongxia Zhang, Ru Wang, Hongqiong Guan, Yuanhua Huang
JournalInternational journal of general medicine (Int J Gen Med) Vol. 14 Pg. 7579-7590 ( 2021) ISSN: 1178-7074 [Print] New Zealand
PMID34754230 (Publication Type: Journal Article)
Copyright© 2021 Luo et al.

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