Bioinformatics analysis of circular RNAs associated with atrial fibrillation and their evaluation as predictive biomarkers.

IF 3.8 3区医学 Q2 GENETICS & HEREDITY

Human Genomics Pub Date : 2025-05-12 DOI:10.1186/s40246-025-00760-7

Manman Wang, Yuanyuan Chen, Weiwei Yang, Xiangting Li, Genli Liu, Xin Wang, Shuai Liu, Ge Gao, Fanhua Meng, Feifei Kong, Dandan Sun, Wei Qin, Bo Dong, Jinguo Zhang

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引用次数: 0

Abstract

Background: Circular noncoding RNAs (circRNAs) are implicated in many human diseases, but their role in atrial fibrillation (AF) is poorly understood. In this study, we performed bioinformatics analysis of circRNA sequencing data to identify AF-related circRNAs.

Methods: Left atrial appendage (LAA) samples were obtained from patients with valvular heart disease and were categorised into the sinus rhythm (SR; n = 4) and AF (n = 4) groups. CircRNA sequencing analysis was performed to identify differentially expressed (DE) circRNAs in AF patients. Functional enrichment analysis of DE circRNAs was performed to identify enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.

Results: We identified 3338 DE circRNAs, including 2147 upregulated and 1191 downregulated circRNAs, in AF patients. A ceRNA network of 16 DE circRNAs, 11 DE miRNAs, and 15 DE mRNAs was constructed. Functional enrichment analyses revealed that the AF-related DE circRNAs were enriched in response to vitamin D, the potassium channel complex, delayed rectifier potassium channel activity, osteoclast differentiation, primary immunodeficiency, endocrine and other factor-regulated calcium reabsorption and other processes. ROC curve analysis identified circRNA_00324, circRNA_17225, circRNA_16305, circRNA_10233, circRNA_05499, circRNA_03183, circRNA_14211, and circRNA_18422 as potential predictive biomarkers for distinguishing AF patients from SR patients, with AUC values of 0.9138, 0.7370, 0.8526, 0.6803, 0.8163, 0.8662, 0.7664, and 0.9320, respectively.

Conclusions: In this study, we constructed an AF-related ceRNA network and identified eight circRNAs as potential predictive biomarkers of AF.

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心房颤动相关环状rna的生物信息学分析及其作为预测性生物标志物的评价。

背景：环状非编码rna （circRNAs）与许多人类疾病有关，但它们在房颤（AF）中的作用尚不清楚。在本研究中，我们对circRNA测序数据进行了生物信息学分析，以鉴定af相关的circRNA。方法：取瓣膜性心脏病患者左心耳（LAA）标本，将左心耳分为窦性心律(SR；n = 4)和AF组（n = 4）。进行CircRNA测序分析以鉴定AF患者的差异表达（DE） CircRNA。对DE环状rna进行功能富集分析，以鉴定富集的基因本体（GO）术语和京都基因与基因组百科全书（KEGG）途径。结果：我们在房颤患者中鉴定出3338个DE环状rna，包括2147个上调环状rna和1191个下调环状rna。构建了一个由16个DE circrna、11个DE mirna和15个DE mrna组成的ceRNA网络。功能富集分析显示af相关DE环状rna在响应维生素D、钾通道复合物、延迟整流钾通道活性、破骨细胞分化、原发性免疫缺陷、内分泌等因子调控的钙重吸收等过程中富集。ROC曲线分析发现，circRNA_00324、circRNA_17225、circRNA_16305、circRNA_10233、circRNA_05499、circRNA_03183、circRNA_14211和circRNA_18422是区分AF和SR患者的潜在预测生物标志物，AUC值分别为0.9138、0.7370、0.8526、0.6803、0.8163、0.8662、0.7664和0.9320。结论：在本研究中，我们构建了AF相关的ceRNA网络，并确定了8个环状rna作为AF的潜在预测生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Human Genomics GENETICS & HEREDITY-

CiteScore

6.00

自引率

2.20%

发文量

审稿时长

11 weeks

期刊介绍： Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.