Sessa Francesco, Pomara Cristoforo, Schembari Flavia, Esposito Massimiliano, Capasso Emanuele, Pesaresi Mauro, Osuna Eduardo, Ulas Efehan, Zammit Christian, Salerno Monica
Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, Italy.
Faculty of Medicine and Surgery, "Kore" University of Enna, 94100 Enna, Italy.
Curr Neuropharmacol. 2025;23(2):209-231. doi: 10.2174/1570159X22666240808124427.
The identification of specific circulating miRNAs has been proposed as a valuable tool for elucidating the pathophysiology of brain damage or injury and predicting patient outcomes.
This study aims to apply several bioinformatic tools in order to clarify miRNA interactions with potential genes involved in brain injury, emphasizing the need of using a computational approach to determine the most likely correlations between miRNAs and target genes. Specifically, this study centers on elucidating the roles of miR-34b, miR-34c, miR-135a, miR-200c, and miR-451a.
After a careful evaluation of different software available (analyzing the strengths and limitations), we applied three tools, one to perform an analysis of the validated targets (miRTarBase), and two to evaluate functional annotations (miRBase and TAM 2.0).
Research findings indicate elevated levels of miR-135a and miR-34b in patients with traumatic brain injury (TBI) within the first day post-injury, while miR-200c and miR-34c were found to be upregulated after 7 days. Moreover, miR-451a and miR-135a were found overexpressed in the serum, while miRNAs 34b, 34c, and 200c, had lower serum levels at baseline post brain injury.
This study emphasizes the use of computational methods in determining the most likely relationships between miRNAs and target genes by investigating several bioinformatic techniques to elucidate miRNA interactions with potential genes. Specifically, this study focuses on the functions of miR-34b, miR-34c, miR-135a, miR-200c, and miR-451a, providing an up-to-date overview and suggesting future research directions for identifying theranomiRNAs related to brain injury, both at the tissue and serum levels.
特定循环微小RNA(miRNA)的鉴定已被视为阐明脑损伤或创伤病理生理学及预测患者预后的重要工具。
本研究旨在应用多种生物信息学工具,以阐明miRNA与脑损伤潜在相关基因的相互作用,强调需采用计算方法来确定miRNA与靶基因之间最可能的相关性。具体而言,本研究聚焦于阐明miR - 34b、miR - 34c、miR - 135a、miR - 200c和miR - 451a的作用。
在仔细评估了不同可用软件(分析其优缺点)后,我们应用了三种工具,一种用于对已验证的靶标进行分析(miRTarBase),另外两种用于评估功能注释(miRBase和TAM 2.0)。
研究结果表明,创伤性脑损伤(TBI)患者在伤后第一天miR - 135a和miR - 34b水平升高,而miR - 200c和miR - 34c在7天后上调。此外,发现miR - 451a和miR - 135a在血清中过表达,而miRNA 34b、34c和200c在脑损伤后基线时血清水平较低。
本研究强调通过研究多种生物信息学技术来阐明miRNA与潜在基因的相互作用,利用计算方法确定miRNA与靶基因之间最可能的关系。具体而言,本研究聚焦于miR - 34b、miR - 34c、miR - 135a、miR - 200c和miR - 451a的功能,提供了最新综述,并为在组织和血清水平上鉴定与脑损伤相关的治疗性miRNA提出了未来研究方向。