Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Genet.

Sec. Computational Genomics

Volume 16 - 2025 | doi: 10.3389/fgene.2025.1597644

This article is part of the Research TopicInnovative Approaches and Molecular Mechanisms in Cardiovascular PharmacologyView all 21 articles

Potential Prognostic Biomarkers in Restenosis of Peripheral Arteries Identified Through Comprehensive ceRNA Network Analysis

Provisionally accepted
Yulin  MiaoYulin Miao1Zongxin  LiZongxin Li2Qianqian  SunQianqian Sun2Gang  ZhaoGang Zhao1Guohang  ShenGuohang Shen2Haobo  ZhangHaobo Zhang2Fengli  GaoFengli Gao1*
  • 1General Hospital of Ningxia Medical University, Yinchuan, China
  • 2Ningxia Medical University, Yinchuan, Ningxia, China

The final, formatted version of the article will be published soon.

Peripheral artery disease (PAD) is one of the leading causes of amputation and mortality worldwide, with restenosis being a common complication following vascular interventional therapy that significantly impacts patient prognosis. This study aims to identify potential biomarkers with clinical and prognostic significance for restenosis of peripheral arteries (RPA). To achieve this, RNA expression levels in stenotic vascular tissues from healthy controls and patients with RPA were integrated and analyzed, identifying a growing number of differentially expressed RNAs for the construction of a competitive endogenous RNA (ceRNA) network for prognostic analysis. The analysis revealed that the RNA expression patterns of samples from patients with RPA were significantly different compared with those of healthy controls.Consequently, the resulting differentially expressed RNAs were used to construct a ceRNA network. Through bioinformatics analysis, a complex regulatory network composed of multiple ceRNA axes was established.The findings indicate that key mRNAs in the network play critical roles in various biological functions. Given the prognostic significance of these six differentially expressed genes in RPA, real-time quantitative fluorescence PCR (qRT-PCR) analysis was performed. These results suggest that these candidate key differentially expressed genes are potential prognostic biomarkers for RPA, and their corresponding mRNAs may serve as potential therapeutic targets.

Keywords: Peripheral Arterial Disease, restenosis, lncRNA, ceRNA network, Prognostic biomarkers

Received: 08 Apr 2025; Accepted: 07 Oct 2025.

Copyright: © 2025 Miao, Li, Sun, Zhao, Shen, Zhang and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Fengli Gao, gaofl2594@163.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.