Zamanian-Azodi Mona, Arjmand Babak, Razzaghi Mohammadreza, Rezaei Tavirani Mostafa, Ahmadzadeh Alireza, Rostaminejad Mohammad
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Arch Acad Emerg Med. 2021 Mar 14;9(1):e27. doi: 10.22037/aaem.v9i1.1108. eCollection 2021.
Many proteomics-based and bioinformatics-based efforts are made to detect the molecular mechanism of COVID-19 infection. Identification of the main protein targets and pathways of severe cases of COVID-19 infection is the aim of this study.
Published differentially expressed proteins were screened and the significant proteins were investigated via protein-protein interaction network using Cytoscape software V. 3.7.2 and STRING database. The studied proteins were assessed via action map analysis to determine the relationship between individual proteins using CluePedia. The related biological terms were investigated using ClueGO and the terms were clustered and discussed.
Among the 35 queried proteins, six of them (FGA, FGB, FGG, and FGl1 plus TLN1 and THBS1) were identified as critical proteins. A total of 38 biological terms, clustered in 4 groups, were introduced as the affected terms. "Platelet degranulation" and "hereditary factor I deficiency disease" were introduced as the main class of the terms disturbed by COVID-19 virus.
It can be concluded that platelet damage and disturbed haemostasis could be the main targets in severe cases of coronavirus infection. It is vital to follow patients' condition by examining the introduced critical differentially expressed proteins (DEPs).
人们进行了许多基于蛋白质组学和生物信息学的研究，以探寻新冠病毒感染的分子机制。本研究旨在确定新冠病毒严重感染病例的主要蛋白质靶点和信号通路。
筛选已发表的差异表达蛋白，并使用Cytoscape软件V. 3.7.2和STRING数据库，通过蛋白质-蛋白质相互作用网络对重要蛋白进行研究。利用CluePedia通过作用图谱分析评估所研究的蛋白质，以确定单个蛋白质之间的关系。使用ClueGO研究相关生物学术语，并对这些术语进行聚类和讨论。
在35个查询蛋白中，有6个（纤维蛋白原α链、纤维蛋白原β链、纤维蛋白原γ链、纤维蛋白原样蛋白1以及张力蛋白1和凝血酶敏感蛋白1）被确定为关键蛋白。共有38个生物学术语被归为4组，作为受影响的术语引入。“血小板脱颗粒”和“遗传性因子I缺乏症”被列为受新冠病毒干扰的主要术语类别。
可以得出结论，血小板损伤和止血功能紊乱可能是冠状病毒严重感染病例的主要靶点。通过检测所引入的关键差异表达蛋白来监测患者病情至关重要。
