Changes in miRNA Pattern Expression Associated With COVID-19 Severity.

IF 1.8 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL In vivo Pub Date : 2025-01-01 DOI:10.21873/invivo.13852
Paola B Zárate-Segura, Macario Martínez-Castillo, Aarón Paris Garduño-Gutiérrez, J Manuel Hernández-Hernández, Luis Javier Cano-Martínez, Jaime García-Mena, Ramón M Coral-Vázquez, Fernando Bastida-González
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Abstract

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.

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与COVID-19严重程度相关的miRNA模式表达变化
背景/目的:由SARS-CoV-2感染引起的冠状病毒病2019 (COVID-19)表现出轻、中、重度的广泛临床症状。宿主相关因素对SARS-CoV-2感染过程的影响例如,宿主microrna (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患者与健康人群中内源性mirna的表达模式。材料与方法:采用TaqMan Low-Density Array进行miRNA筛选表达分析,采用RT-qPCR验证miR-490-3p、miR-195-5p、miR-454-3p、miR-431-5p的表达变化。计算机分析用于鉴定新的靶点,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COVID-19重症患者人群中过表达。发现miR-490-3p在女性和男性COVID-19患者中均过表达。结论:特异性mirna可能是预测COVID-19临床病程的潜在生物标志物。
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来源期刊
In vivo
In vivo 医学-医学:研究与实验
CiteScore
4.20
自引率
4.30%
发文量
330
审稿时长
3-8 weeks
期刊介绍: IN VIVO is an international peer-reviewed journal designed to bring together original high quality works and reviews on experimental and clinical biomedical research within the frames of physiology, pathology and disease management. The topics of IN VIVO include: 1. Experimental development and application of new diagnostic and therapeutic procedures; 2. Pharmacological and toxicological evaluation of new drugs, drug combinations and drug delivery systems; 3. Clinical trials; 4. Development and characterization of models of biomedical research; 5. Cancer diagnosis and treatment; 6. Immunotherapy and vaccines; 7. Radiotherapy, Imaging; 8. Tissue engineering, Regenerative medicine; 9. Carcinogenesis.
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