通过蛋白质相互作用图谱对非酒精性脂肪性肝炎进行拓扑学和功能分析。
Topological and functional analysis of nonalcoholic steatohepatitis through protein interaction mapping.
作者信息
Asadzadeh-Aghdaee Hamid, Mansouri Vahid, Peyvandi Ali Asghar, Moztarzadeh Fathollah, Okhovatian Farshad, Lahmi Farhad, Vafaee Reza, Zali Mohammad Reza
机构信息
Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
出版信息
Gastroenterol Hepatol Bed Bench. 2016 Dec;9(Suppl1):S23-S28.
AIM
The corresponding proteins are important for network mapping since the interaction analysis can provide a new interpretation about disease underlying mechanisms as the aim of this study.
BACKGROUD
Nonalcoholic steatohepatitis (NASH) is one of the main causes of liver disease in the world. It has been known with many susceptible proteins that play essential role in its pathogenesis.
METHODS
In this paper, protein-protein interaction (PPI) network analysis of fatty liver disease retrieved from STRING db by the application of Cytoscape Software. ClueGO analyzed the associated pathways for the selected top proteins.
RESULTS
INS, PPARA, LEP, SREBF1, and ALB are the introduced biomarker panel for fatty liver disease.
CONCLUSION
It seems that pathways related to insulin have a prominent role in fatty liver disease. Therefore, investigation in this case is required to confirm the possible linkage of introduced panel and involvement of insulin pathway in the disease.
目的
由于相互作用分析可为疾病潜在机制提供新的解释，而这正是本研究的目的，因此相应蛋白质对于网络映射很重要。
背景
非酒精性脂肪性肝炎（NASH）是全球肝脏疾病的主要病因之一。已知有许多易感蛋白在其发病机制中起重要作用。
方法
本文通过应用Cytoscape软件对从STRING数据库检索到的脂肪性肝病进行蛋白质-蛋白质相互作用（PPI）网络分析。ClueGO分析所选顶级蛋白质的相关途径。
结果
INS、PPARA、LEP、SREBF1和ALB是引入的脂肪性肝病生物标志物组。
结论
似乎与胰岛素相关的途径在脂肪性肝病中起突出作用。因此，需要对此进行研究以确认引入的生物标志物组与胰岛素途径在该疾病中的参与之间可能存在的联系。
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