Identification of CeRNA Regulatory Networks in Atrial Fibrillation Using Nanodelivery

Ping Lin; Lingqiang Meng; Lei Lyu

doi:10.1155/2022/1046905

Identification of CeRNA Regulatory Networks in Atrial Fibrillation Using Nanodelivery

Evid Based Complement Alternat Med. 2022 Sep 29:2022:1046905. doi: 10.1155/2022/1046905. eCollection 2022.

Authors

Ping Lin¹, Lingqiang Meng², Lei Lyu³

Affiliations

¹ Department of Cardiology, Dongying Traditional Chinese Medicine Hospital, Dongying 257055, Shandong, China.
² Department of Laboratory, Dongying Traditional Chinese Medicine Hospital, Dongying 257055, Shandong, China.
³ Department of Geriatrics, Dongying Traditional Chinese Medicine Hospital, Dongying 257055, Shandong, China.

Abstract

The initiation and maintenance of AF is a complex biological process that is the ultimate manifestation of many cardiovascular diseases. And the pathogenesis of atrial fibrillation (AF) is unclear. Therefore, this study aimed to find the potential competing endogenous RNAs (ceRNAs) network and molecular dysregulation mechanism associated with AF. GSE135445, GSE2240, and GSE68475 were obtained from the Gene Expression Omnibus (GEO). Differential analysis was utilized to identify the differentially expressed mRNAs, miRNAs, and lncRNAs between AF and sinus rhythms (SR). AF-associated mRNAs and nanomaterials were screened and their biological functions and KEGG signaling pathways were identified. Nanomaterials for targeted delivery are uniquely capable of localizing the delivery of therapeutics and diagnostics to diseased tissues. The target mRNAs and target lncRNAs of differentially expressed miRNAs were identified using TargetScan and LncBase databases. Finally, we constructed the ceRNAs network and its potential molecular regulatory mechanism. We obtained 643 AF-associated mRNAs. They were significantly involved in focal adhesion and the PI3K-Akt signaling pathway. Among the 16 differentially expressed miRNAs identified, 31 differentially expressed target mRNAs, as well as 5 differentially expressed target lncRNAs were identified. Among them, we obtained 2 ceRNAs networks (hsa-miR-125a-5p and hsa-let-7a-3p). The aberrant expression of network target genes in AF mainly activated the HIF-1 signaling pathway. We speculated that the interaction pairs of miR-125a-5p and let-7a-3p with target mRNAs and target lncRNAs may be involved in AF. Our findings have a positive influence on investigating the pathogenesis of AF and identifying potential therapeutic targets.