MiRNA Dysregulation in Brain Injury: An In Silico Study to Clarify the Role of a MiRNA Set

Author:

Sessa Francesco1,Pomara Cristoforo1,Schembari Flavia1,Esposito Massimiliano2,Capasso Emanuele3,Pesaresi Mauro4,Osuna Eduardo5,Ulas Efehan6,Zammit Christian7,Salerno Monica1

Affiliation:

1. Department of Medical, Surgical and Advanced Technologies 'G.F. Ingrassia', University of Catania, Catania, Italy

2. Faculty of Medicine and Surgery, “Kore” University of Enna, 94100 Enna, Italy

3. Department of Advanced Biomedical Science-Legal Medicine Section, University of Naples “Federico II”, 80131 Naples, Italy

4. Section of Legal Medicine, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Via Tronto, Ancona, 60126, Italy

5. Department of Forensic Medicine. University of Murcia. 30120 Murcia, Spain

6. Faculty of Medicine, Department of Biostatistics and Medical Informatics, Kirklareli University, Kirklareli, Turkey

7. Department of Anatomy, Faculty of Medicine and Surgery, University of Malta, Msida 2080, Malta

Abstract

Background: 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. Objective: 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. Methods: 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). Results: 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. Conclusion: 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.

Publisher

Bentham Science Publishers Ltd.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3