Association of plasma microRNAs with COVID-19 severity and outcome

IF 3.5 Q3 Biochemistry, Genetics and Molecular Biology
Sohair Salem , Randa Lotfy , Noha Eltaweel , Mohamed Elbadry
{"title":"Association of plasma microRNAs with COVID-19 severity and outcome","authors":"Sohair Salem ,&nbsp;Randa Lotfy ,&nbsp;Noha Eltaweel ,&nbsp;Mohamed Elbadry","doi":"10.1016/j.jgeb.2024.100433","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>As one of the remarkable host responses to SARS-CoV-2 infection, circulating microRNAs (miRNAs) represent important diagnostic and prognostic diseases biomarkers. The study is a step towards highlighting the role of miRNAs in COVID-19 pathogenesis and severity.</div></div><div><h3>Methods</h3><div>In this case-control study, miRCURY LNA miRNA PCR plasma panel (168 miRNAs) was applied and the expression of the altered miRNAs was then analysed by quantitative real time PCR for 120 COVID-19 patients (30 mild, 30 moderate, 30 severe, and 30 critical) and 30 healthy subjects.</div></div><div><h3>Results</h3><div>The initial screening showed that 30 miRNAs displayed altered expression, out of them, only eleven miRNAs (miR-885-5p, miR-141-3p, miR-21-5p, miR-127-3p, miR-99b-5p, let-7d-3p, miR-375, miR-1260a, miR-139-5p, miR-28-5p and miR-34a-5p) were dysregulated in the plasma of COVID-19 patients; all of them were significantly overexpressed. By applying ROC curve analysis, AUC for the eleven miRNAs were ranged from 0.65 to 0.83, and the AUC for the combined miRNAs was 0.93. Ten miRNAs (miR-141-3p, miR-181a-5p, miR-221-3p, miR-223-5p, miR99b-5p, Let-7d-3p, miR-375, miR-199a-5p, miR-139-5p and miR-28-5p) exhibited a significant change in their expression between different severity groups. Patients with positive outcome were found to have increased miR-375 and decreased miR-99b-5p expression levels. Bioinformatic prediction showed that, out of the eleven dysregulated miRNAs, five miRNAs (miR-139-5p, −34a-5p, −28-5p, −21-5p and −885-5p) have the ability to regulate at least two genes related to COVID-19 according to KEGG database.</div></div><div><h3>Conclusion</h3><div>miRNAs are dysregulated in COVID-19 patients and associated with severity degree and patients’ outcome.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"22 4","pages":"Article 100433"},"PeriodicalIF":3.5000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Genetic Engineering and Biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1687157X24001367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

Abstract

Objective

As one of the remarkable host responses to SARS-CoV-2 infection, circulating microRNAs (miRNAs) represent important diagnostic and prognostic diseases biomarkers. The study is a step towards highlighting the role of miRNAs in COVID-19 pathogenesis and severity.

Methods

In this case-control study, miRCURY LNA miRNA PCR plasma panel (168 miRNAs) was applied and the expression of the altered miRNAs was then analysed by quantitative real time PCR for 120 COVID-19 patients (30 mild, 30 moderate, 30 severe, and 30 critical) and 30 healthy subjects.

Results

The initial screening showed that 30 miRNAs displayed altered expression, out of them, only eleven miRNAs (miR-885-5p, miR-141-3p, miR-21-5p, miR-127-3p, miR-99b-5p, let-7d-3p, miR-375, miR-1260a, miR-139-5p, miR-28-5p and miR-34a-5p) were dysregulated in the plasma of COVID-19 patients; all of them were significantly overexpressed. By applying ROC curve analysis, AUC for the eleven miRNAs were ranged from 0.65 to 0.83, and the AUC for the combined miRNAs was 0.93. Ten miRNAs (miR-141-3p, miR-181a-5p, miR-221-3p, miR-223-5p, miR99b-5p, Let-7d-3p, miR-375, miR-199a-5p, miR-139-5p and miR-28-5p) exhibited a significant change in their expression between different severity groups. Patients with positive outcome were found to have increased miR-375 and decreased miR-99b-5p expression levels. Bioinformatic prediction showed that, out of the eleven dysregulated miRNAs, five miRNAs (miR-139-5p, −34a-5p, −28-5p, −21-5p and −885-5p) have the ability to regulate at least two genes related to COVID-19 according to KEGG database.

Conclusion

miRNAs are dysregulated in COVID-19 patients and associated with severity degree and patients’ outcome.
血浆微RNA与COVID-19严重程度和预后的关系
目的 作为宿主对 SARS-CoV-2 感染的显著反应之一,循环微RNA(miRNA)是诊断和预后疾病的重要生物标志物。方法在这项病例对照研究中,研究人员应用 miRCURY LNA miRNA PCR 血浆样本(168 个 miRNAs),然后对 120 名 COVID-19 患者(30 名轻度患者、30 名中度患者、30 名重度患者和 30 名危重患者)和 30 名健康受试者的 miRNAs 表达进行实时定量 PCR 分析。结果初步筛选显示,有30个miRNA的表达发生了改变,其中只有11个miRNA(miR-885-5p、miR-141-3p、miR-21-5p、miR-127-3p、miR-99b-5p、let-7d-3p、miR-375、miR-1260a、miR-139-5p、miR-28-5p和miR-34a-5p)在COVID-19患者的血浆中表达失调,而且所有这些miRNA都显著过表达。应用 ROC 曲线分析,11 个 miRNA 的 AUC 在 0.65 至 0.83 之间,合并 miRNA 的 AUC 为 0.93。十个 miRNA(miR-141-3p、miR-181a-5p、miR-221-3p、miR-223-5p、miR99b-5p、Let-7d-3p、miR-375、miR-199a-5p、miR-139-5p 和 miR-28-5p)的表达在不同严重程度组别之间有显著变化。结果为阳性的患者的 miR-375 表达水平升高,miR-99b-5p 表达水平降低。生物信息学预测显示,根据 KEGG 数据库,在 11 个表达失调的 miRNAs 中,有 5 个 miRNAs(miR-139-5p、-34a-5p、-28-5p、-21-5p 和 -885-5p)能够调控至少两个与 COVID-19 相关的基因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Genetic Engineering and Biotechnology
Journal of Genetic Engineering and Biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
5.70
自引率
5.70%
发文量
159
审稿时长
16 weeks
期刊介绍: Journal of genetic engineering and biotechnology is devoted to rapid publication of full-length research papers that leads to significant contribution in advancing knowledge in genetic engineering and biotechnology and provide novel perspectives in this research area. JGEB includes all major themes related to genetic engineering and recombinant DNA. The area of interest of JGEB includes but not restricted to: •Plant genetics •Animal genetics •Bacterial enzymes •Agricultural Biotechnology, •Biochemistry, •Biophysics, •Bioinformatics, •Environmental Biotechnology, •Industrial Biotechnology, •Microbial biotechnology, •Medical Biotechnology, •Bioenergy, Biosafety, •Biosecurity, •Bioethics, •GMOS, •Genomic, •Proteomic JGEB accepts
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信