Understanding microRNAs in the context of bacterial versus viral infections.

Q2 Medicine
Medicine and Pharmacy Reports Pub Date : 2024-10-01 Epub Date: 2024-10-30 DOI:10.15386/mpr-2817
Zaki Milhelm, Paul Chiroi, Antonia Harangus, Marina Dudea, Cristina Ciocan, Laura Pop, Cornelia Braicu, Ioana Berindan-Neagoe
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Abstract

Introduction: MicroRNAs (miRNAs), small non-coding RNAs that regulate gene expression, have emerged as biomarkers for differentiating infection types due to their distinct expression profiles in response to pathogens. This study explores miRNA profiling using microarray technology to identify miRNA signatures that differentiate viral from bacterial infections in plasma samples.

Methods: Plasma samples were collected from patients diagnosed with either bacterial (e.g., pneumonia) or viral (e.g., human papillomavirus) infections; control samples were used to evaluate altered miRNA pattern, followed by Ingenuity Pathway Analysis (IPA) analysis.

Results: Microarray analysis revealed distinct miRNA expression patterns for bacterial and viral infections. In bacterial infections, 11 miRNAs were significantly downregulated compared to controls. Similarly, 12 miRNAs were downregulated in viral infections. Pathway analysis indicated that the altered miRNAs in bacterial infections were linked to immune and inflammatory pathways. In contrast, viral infections were associated with miRNAs involved in cellular stress and replication processes.

Conclusion: Plasma miRNA profiling offers a promising diagnostic tool to differentiate bacterial from viral infections, providing specific miRNA signatures underlying immune responses. These findings represent a foundation for developing miRNA-based diagnostics, improving the precision of infection diagnosis, and paving the way for targeted therapeutic interventions.

在细菌和病毒感染的背景下了解 microRNA。
介绍:微RNA(miRNA)是调节基因表达的小型非编码RNA,由于其在病原体反应中的独特表达谱,已成为区分感染类型的生物标志物。本研究利用芯片技术探索 miRNA 图谱,以确定血浆样本中可区分病毒感染和细菌感染的 miRNA 标志:方法:从确诊为细菌(如肺炎)或病毒(如人类乳头瘤病毒)感染的患者身上采集血浆样本;对照样本用于评估 miRNA 模式的改变,然后进行 Ingenuity Pathway Analysis (IPA) 分析:结果:芯片分析表明,细菌和病毒感染的 miRNA 表达模式各不相同。在细菌感染中,与对照组相比,有 11 个 miRNA 明显下调。同样,在病毒感染中也有 12 个 miRNA 下调。通路分析表明,细菌感染中发生变化的 miRNA 与免疫和炎症通路有关。与此相反,病毒感染与涉及细胞应激和复制过程的 miRNA 有关:血浆 miRNA 图谱分析为区分细菌感染和病毒感染提供了一种很有前景的诊断工具,它提供了免疫反应所依赖的特定 miRNA 特征。这些发现为开发基于 miRNA 的诊断奠定了基础,提高了感染诊断的精确度,并为有针对性的治疗干预铺平了道路。
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
Medicine and Pharmacy Reports
Medicine and Pharmacy Reports Medicine-Medicine (all)
CiteScore
3.10
自引率
0.00%
发文量
63
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