Saki Kourosh, Mansouri Vahid, Abdi Saeed, Fathi Mohammad, Razzaghi Zahra, Haghazali Mehrdad
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gastroenterol Hepatol Bed Bench. 2021 Fall;14(Suppl1):S94-S101.
This study aimed to introduce the main biomarkers related to NFLD and diabetes II to determine common pathogenic and metabolite factors linking NFLD to diabetes II.
Nonalcoholic fatty liver disease (NFLD) is chronic hepatic failure with a broad range of hepatic disorders. NFLD and diabetes type 2 coexist regularly to drive adverse outcomes such as hepatocellular carcinoma and vascular complications.
The proteins related to NFDL and diabetes mellitus were extracted from String database. Proteins related to each disease were included in protein-protein interaction networks in Cytoscape software. Obtained networks were analyzed using Cytoscape network analyzer. The central nodes were determined as top hubs based on degree value. The top hubs related to NFLD and diabetes mellites were compared.
In total, 200 proteins related to NFDL and diabetes mellitus were found separately in String database and connected through undirected edges in individual networks. Central nodes based on degree value were determined for each disease. Ten percent of top nodes were selected based on degree value as the 20 top hubs for each disease. Target common hub proteins between NFDL and diabetes mellitus comprised INS, AKT1, ALB, PPARG, IL6, GPDPH, LEP, TNF, ADIPOQ, IGF1, TP53, MAPK3, and SIRT1.
According to the results, 13 common and 14 discriminatory central dysregulated proteins were determined for NAFLD and diabetes mellitus.
本研究旨在介绍与非酒精性脂肪性肝病(NFLD)和2型糖尿病相关的主要生物标志物,以确定将NFLD与2型糖尿病联系起来的共同致病和代谢因素。
非酒精性脂肪性肝病(NFLD)是一种伴有广泛肝脏疾病的慢性肝衰竭。NFLD和2型糖尿病经常共存,会引发诸如肝细胞癌和血管并发症等不良后果。
从String数据库中提取与NFDL和糖尿病相关的蛋白质。将与每种疾病相关的蛋白质纳入Cytoscape软件中的蛋白质-蛋白质相互作用网络。使用Cytoscape网络分析器对获得的网络进行分析。根据度数确定中心节点为顶级枢纽。比较与NFLD和糖尿病相关的顶级枢纽。
总共在String数据库中分别发现了200种与NFDL和糖尿病相关的蛋白质,并在各个网络中通过无向边连接。为每种疾病确定了基于度数的中心节点。根据度数选择10%的顶级节点作为每种疾病的20个顶级枢纽。NFLD和糖尿病之间的目标共同枢纽蛋白包括胰岛素(INS)、蛋白激酶B1(AKT1)、白蛋白(ALB)、过氧化物酶体增殖物激活受体γ(PPARG)、白细胞介素6(IL6)、葡萄糖-6-磷酸脱氢酶(GPDPH)、瘦素(LEP)、肿瘤坏死因子(TNF)、脂联素(ADIPOQ)、胰岛素样生长因子1(IGF1)、肿瘤蛋白p53(TP53)、丝裂原活化蛋白激酶3(MAPK3)和沉默信息调节因子1(SIRT1)。
根据结果,确定了13种非酒精性脂肪性肝病(NAFLD)和糖尿病的共同中心失调蛋白以及14种鉴别性中心失调蛋白。