小RNA
免疫系统
生物
外周血单个核细胞
核糖核酸
免疫学
基因
疾病
转录组
基因表达
生物标志物
病毒
呼吸系统
基因表达调控
折叠变化
病毒复制
发病机制
环状RNA
互补DNA
炎症
实时聚合酶链反应
微阵列
信号转导
流式细胞术
长非编码RNA
癌症研究
信使核糖核酸
医学
非编码RNA
先天免疫系统
细胞生物学
微泡
作者
Abbas Talebi Mazrae Shahi,Zahra Firoozi,Elham Mohammadisoleimani,Ebrahim Mirzaei,Mehdi Sarvi,Farzaneh Darbeheshti,Jalal Karimi,Zahra Montaseri,Yaser Mansoori
出处
期刊:Genetic Testing and Molecular Biomarkers
[Mary Ann Liebert, Inc.]
日期:2025-12-29
标识
DOI:10.1177/19450265251406027
摘要
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes a respiratory disorder responsible for the global pandemic and widespread mortality. Circular RNAs (circRNAs), one of the newest forms of noncoding RNAs (ncRNAs), are important regulators of the host immune response and viral replication through sponging of microRNAs (miRNAs). This work aims to look at the expression and functions of hsa_circ_0009910/hsa-miR-145-5p/IFN beta 1 (IFNB1) in SARS-CoV-2-related infection and the molecular mechanisms that underpin them. In the experimental phase of the study, total RNA was isolated from the peripheral blood mononuclear cells (PBMCs) of 48 patients with symptomatic COVID-19, 48 patients with nonsymptomatic COVID-19, and 48 negative controls, and then cDNA was synthesized. Next, the expression of these genes was examined with quantitative real-time PCR (qRT-PCR). A receiver operating characteristic (ROC) curve was created to assess each gene's potential as a biomarker. The interactions of hsa_circ_0009910, hsa-miR-145-5p, and IFNB1, also the functional and pathway enrichment analyses, were detected by bioinformatics analysis. When compared with the negative control group, the expression of hsa_circ_0009910 in both symptomatic and nonsymptomatic groups, and IFNB1 in the symptomatic group was higher in the COVID-19 patients. Furthermore, the relative expression of hsa-miR-145-5p in the symptomatic and nonsymptomatic groups was lower than that in the negative control group. In addition, there was a positive correlation between hsa_circ_0009910 and IFNB1 expression, as well as a negative correlation between hsa-miR-145-5p, hsa_circ_0009910, and IFNB1 expressions. hsa-miR-145-5p has a higher area under the curve and may be a more effective biomarker to distinguish COVID-19 patients from the healthy controls, based on ROC curve study, but further study is needed. In conclusion, our data show that the hsa_circ_0009910/hsa-miR-145-5p/IFNB1 triple network may play a role in the pathogenesis of COVID-19 and can be considered a therapeutic target in COVID-19 patients.
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