Interrelationship between 2019-nCoV receptor ACE2 and diabetes mellitus target based on protein interaction network

Q4 Medicine
Jiacheng Shui, Rensong Yue
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引用次数: 0

Abstract

Objective: Exploring the relationship between diabetes mellitus targets and ACE2 of the receptor of novel coronavirus(2019-nCoV) through a protein interaction network to provide new perspectives for clinical use Methods: Diabetes mellitus targets were obtained from the GeneCards and OMIM databases Targets with a relevance score exceeding 10 were included, and ACE2 protein was manually added The initial protein interaction network was obtained through String and then imported into Cytoscape 3 7 1 We selected the protein targets directly related to ACE2 as the target of the final analysis and imported them into String again in order to obtain the protein interaction network Module identification, GO analysis and KEGG pathway analysis were performed respectively The impact of ACE2 on the entire network was analyzed by scoring the module where it located Results: 19 ACE2-related proteins were finally selected from diabetes mellitus targets Three functional modules were found through the cluster analysis These modules involved G protein-coupled receptor binding, antioxidant activity, and insulin-like growth factor receptor binding The main signal pathways involved were the renin angiotensin system signal pathway, the type 2 diabetes mellitus signal pathway, and the FOXA2 signal pathway The scoring results showed that REN, AGT, INS, NOS3, IL6, and CRP scored the highest Conclusions: ACE2 is widely associated with diabetes mellitus key proteins COVID-19 may impact RAS of diabetes mellitus patients then induce serious complications Clinical use of RAS inhibitors may reduce the impact of COVID-19 infection on diabetes mellitus patients Copyright © 2020 by the Chinese Medical Association
基于蛋白相互作用网络的新型冠状病毒受体ACE2与糖尿病靶标的相互关系
目的:通过蛋白相互作用网络探讨新型冠状病毒(2019-nCoV)受体ACE2与糖尿病靶点的关系,为临床应用提供新的视角。从GeneCards和OMIM数据库中获取糖尿病靶标,纳入相关评分超过10分的靶标,并人工添加ACE2蛋白,通过String获得初始蛋白相互作用网络,然后导入Cytoscape 3 7 1我们选择与ACE2直接相关的蛋白靶标作为最终分析的靶标,再次导入String,以获得蛋白相互作用网络模块鉴定。分别进行GO分析和KEGG通路分析,通过对ACE2所在模块进行评分,分析ACE2对整个网络的影响。通过聚类分析,最终从糖尿病靶点中筛选出19个ace2相关蛋白,发现3个功能模块,涉及G蛋白偶联受体结合、抗氧化活性和胰岛素样生长因子受体结合,主要涉及肾素血管紧张素系统信号通路、2型糖尿病信号通路和FOXA2信号通路。评分结果显示,REN、AGT、INS、NOS3、IL6、结论:ACE2与糖尿病关键蛋白广泛相关。COVID-19可能影响糖尿病患者的RAS,诱发严重并发症。临床使用RAS抑制剂可降低COVID-19感染对糖尿病患者的影响版权所有©中华医学会2020
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来源期刊
中华内分泌代谢杂志
中华内分泌代谢杂志 Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
0.60
自引率
0.00%
发文量
7243
期刊介绍: The Chinese Journal of Endocrinology and Metabolism was founded in July 1985. It is a senior academic journal in the field of endocrinology and metabolism sponsored by the Chinese Medical Association. The journal aims to be the "Chinese broadcaster of new knowledge on endocrinology and metabolism worldwide". It reports leading scientific research results and clinical diagnosis and treatment experience in endocrinology and metabolism and related fields, as well as basic theoretical research that has a guiding role in endocrinology and metabolism clinics and is closely integrated with clinics. The journal is a core journal of Chinese science and technology (a statistical source journal of Chinese science and technology papers), and is included in Chinese and foreign statistical source journal databases such as the Chinese Science and Technology Papers and Citation Database, Chemical Abstracts, and Scopus.
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