与新冠病毒疾病严重程度相关的微小RNA模式表达变化
Changes in miRNA Pattern Expression Associated With COVID-19 Severity.
作者信息
Zárate-Segura Paola B, Martínez-Castillo Macario, Garduño-Gutiérrez Aarón Paris, Hernández-Hernández J Manuel, Cano-Martínez Luis Javier, García-Mena Jaime, Coral-Vázquez Ramón M, Bastida-González Fernando
机构信息
Laboratorio de Medicina Traslacional, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City, Mexico;
Laboratorio de Medicina Traslacional, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City, Mexico.
出版信息
In Vivo. 2025 Jan-Feb;39(1):482-490. doi: 10.21873/invivo.13852.
BACKGROUND/AIM: Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2 infection, manifests a wide range of clinical symptoms ranging from mild to moderate and severe. Host-related factors influence the course of SARS-CoV-2 infection; for instance, the expression of host microRNAs (miRNAs) could influence the progression and complications of COVID-19. This study aimed to determine the expression pattern of endogenous miRNAs in 80 severe COVID-19 patients compared to a group of healthy individuals.
MATERIALS AND METHODS
The miRNA screening expression analysis was performed using TaqMan Low-Density Array, and the expression changes of miR-490-3p, miR-195-5p, miR-454-3p, and miR-431-5p were validated using RT-qPCR. In silico analysis was used to identify new targets and predict the pathways, biological processes, and interactions of the selected miRNAs.
RESULTS
The miR-490-3p, miR-195-5p, miR-454-3p, and miR-431-5p, were over-expressed in the total population of severe COVID-19 patients compared to the control group. miR-490-3p was found to be over-expressed in both female and male COVID-19 patients.
CONCLUSION
Specific miRNAs might be a potential biomarker for predicting the clinical course of COVID-19.
背景/目的：2019冠状病毒病（COVID-19）由严重急性呼吸综合征冠状病毒2（SARS-CoV-2）感染引起，表现出从轻度到中度和重度的广泛临床症状。宿主相关因素影响SARS-CoV-2感染的进程；例如，宿主微小RNA（miRNA）的表达可能影响COVID-19的进展和并发症。本研究旨在确定80例重症COVID-19患者与一组健康个体相比内源性miRNA的表达模式。
材料与方法
使用TaqMan低密度阵列进行miRNA筛选表达分析，并使用逆转录定量聚合酶链反应（RT-qPCR）验证miR-490-3p、miR-195-5p、miR-454-3p和miR-431-5p的表达变化。通过计算机分析来识别新靶点并预测所选miRNA的途径、生物学过程和相互作用。
结果
与对照组相比，miR-490-3p、miR-195-5p、miR-454-3p和miR-431-5p在重症COVID-19患者总体中表达上调。发现miR-490-3p在女性和男性COVID-19患者中均表达上调。
结论
特定的miRNA可能是预测COVID-19临床进程的潜在生物标志物。
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