Clinical spectrum of COVID-19 patients and decreased serum level of miR-146a as a sign of inflammation.

IF 3.2 Q2 Biochemistry, Genetics and Molecular Biology
Biomolecular Concepts Pub Date : 2025-10-18 eCollection Date: 2025-01-01 DOI:10.1515/bmc-2025-0052
Lucy Baldeón Rojas, Jorge Pérez-Galarza, Valeria Alulema, Yosselin Vicuña-Almeida, Marco Salinas-Pinta, Cristina Cañadas Herrera, Jorge Luis Vélez-Paez, Brenda Ruiz Borja, César Prócel Ramírez, Juan Heredia, Diego Barahona, Fernando Sempértegui Ontaneda
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引用次数: 0

Abstract

Background: There is increasing evidence that inflammation is an important determinant in COVID-19 pathogenesis. Several studies describe cytokines and microRNAs as important regulators of immune and inflammatory responses in other diseases, regarding them as valuable biomarkers.

Aim: Identify a potential relationship between cytokines (interleukin [IL]-6, IL-8) and microRNAs (miR-146a-5p, miR-155-5p) and clinical characteristics of COVID-19 patients, focusing on disease severity and mortality risk.

Methods: Serum expression levels of miR-146a, miR-155, IL-6, IL-8, C-reactive protein, ferritin, and neutrophil-to-lymphocyte ratio, of 25 mild, 73 moderate, and 39 severe COVID-19 patients from Quito-Ecuador, were determined to correlate outcomes with clinical parameters.

Results: In all groups, overweight and obesity were the most prevalent comorbidities (75.91%). Serum levels of IL-6 were significantly elevated in patients with moderate and severe COVID-19 (analysis of variance [ANOVA] p ≤ 0.000). miR-146a was significantly decreased in moderate and severe COVID-19 patients when compared with mild cases (ANOVA p = 0.002). ROC curve analysis showed that selected cut-off values for miR-146a > 3.999 ΔCt for mild vs moderate condition (sensitivity 83.56%, specificity 48%) and miR-146a > 3.999 ΔCt for mild vs severe condition (sensitivity 84.62%, specificity 40%), and IL-6 ≥ 72.25 pg/mL (sensitivity 78.95%, specificity 60.61%) when combined with clinical pretest probability, can be used to predict aggravation and death in COVID-19 patients. Odds ratios (ORs) of miR-146a (OR = 4.322) and IL-6 (OR = 3.198) indicate an increased risk of worsening and death, respectively, when cut-off points were taken into consideration.

Conclusion: This study shows that elevated inflammatory IL-6 and decreased serum levels of anti-inflammatory miR-146a-5p can be discriminatory markers of COVID-19 severity and mortality.

COVID-19患者的临床谱和血清miR-146a水平下降作为炎症的标志。
背景:越来越多的证据表明,炎症是COVID-19发病机制的重要决定因素。一些研究将细胞因子和microrna描述为其他疾病中免疫和炎症反应的重要调节因子,认为它们是有价值的生物标志物。目的:确定细胞因子(白细胞介素[IL]-6、IL-8)和microrna (miR-146a-5p、miR-155-5p)与COVID-19患者临床特征之间的潜在关系,重点关注疾病严重程度和死亡风险。方法:检测来自基多-厄瓜多尔的25例轻度、73例中度和39例重度COVID-19患者的血清miR-146a、miR-155、IL-6、IL-8、c反应蛋白、铁蛋白和中性粒细胞与淋巴细胞比率的表达水平,并将结果与临床参数相关联。结果:在所有组中,超重和肥胖是最常见的合并症(75.91%)。中重度COVID-19患者血清IL-6水平显著升高(方差分析p≤0.000)。与轻度病例相比,miR-146a在中重度COVID-19患者中显著降低(方差分析p = 0.002)。ROC曲线分析显示,miR-146a > 3.999 ΔCt轻度对中度(敏感性83.56%,特异性48%)和miR-146a > 3.999 ΔCt轻度对重度(敏感性84.62%,特异性40%)的临界值以及IL-6≥72.25 pg/mL(敏感性78.95%,特异性60.61%)结合临床前检概率,可用于预测COVID-19患者的加重和死亡。当考虑截止点时,miR-146a (OR = 4.322)和IL-6 (OR = 3.198)的优势比(ORs)分别表明恶化和死亡的风险增加。结论:本研究表明,炎性IL-6升高和血清抗炎miR-146a-5p水平降低可作为COVID-19严重程度和死亡率的歧视性指标。
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
Biomolecular Concepts
Biomolecular Concepts Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
5.30
自引率
0.00%
发文量
27
审稿时长
12 weeks
期刊介绍: BioMolecular Concepts is a peer-reviewed open access journal fostering the integration of different fields of biomolecular research. The journal aims to provide expert summaries from prominent researchers, and conclusive extensions of research data leading to new and original, testable hypotheses. Aspects of research that can promote related fields, and lead to novel insight into biological mechanisms or potential medical applications are of special interest. Original research articles reporting new data of broad significance are also welcome. Topics: -cellular and molecular biology- genetics and epigenetics- biochemistry- structural biology- neurosciences- developmental biology- molecular medicine- pharmacology- microbiology- plant biology and biotechnology.
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