• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

缺血性脑卒中亚型的生物标志物:蛋白质-蛋白质相互作用分析。

Biomarkers for ischemic stroke subtypes: A protein-protein interaction analysis.

机构信息

Department of Biological Science, Faculty of Science, Universiti Tunku Abdul Rahman, Bandar Barat, 31900 Kampar, Perak, Malaysia.

Department of Biological Science, Faculty of Science, Universiti Tunku Abdul Rahman, Bandar Barat, 31900 Kampar, Perak, Malaysia.

出版信息

Comput Biol Chem. 2019 Dec;83:107116. doi: 10.1016/j.compbiolchem.2019.107116. Epub 2019 Sep 7.

DOI:10.1016/j.compbiolchem.2019.107116
PMID:31561071
Abstract

According to the Trial of Org 10172 in Acute Stroke Treatment, ischemic stroke is classified into five subtypes. However, the predictive biomarkers of ischemic stroke subtypes are still largely unknown. The utmost objective of this study is to map, construct and analyze protein-protein interaction (PPI) networks for all subtypes of ischemic stroke, and to suggest the predominant biological pathways for each subtypes. Through 6285 protein data retrieved from PolySearch2 and STRING database, the first PPI networks for all subtypes of ischemic stroke were constructed. Notably, F2 and PLG were identified as the critical proteins for large artery atherosclerosis (LAA), lacunar, cardioembolic, stroke of other determined etiology (SOE) and stroke of undetermined etiology (SUE). Gene ontology and DAVID analysis revealed that GO:0030193 regulation of blood coagulation and GO:0051917 regulation of fibrinolysis were the important functional clusters for all the subtypes. In addition, inflammatory pathway was the key etiology for LAA and lacunar, while FOS and JAK2/STAT3 signaling pathways might contribute to cardioembolic stroke. Due to many risk factors associated with SOE and SUE, the precise etiology for these two subtypes remained to be concluded.

摘要

根据急性脑卒中治疗中的 Org 10172 试验,缺血性脑卒中分为五种亚型。然而,缺血性脑卒中亚型的预测生物标志物在很大程度上仍然未知。本研究的最终目标是绘制、构建和分析所有缺血性脑卒中亚型的蛋白质-蛋白质相互作用(PPI)网络,并为每个亚型提出主要的生物学途径。通过从 PolySearch2 和 STRING 数据库中检索到的 6285 个蛋白质数据,构建了所有缺血性脑卒中亚型的第一个 PPI 网络。值得注意的是,F2 和 PLG 被确定为大动脉粥样硬化(LAA)、腔隙性、心源性栓塞、其他确定病因的脑卒中(SOE)和未确定病因的脑卒中(SUE)的关键蛋白。基因本体论和 DAVID 分析表明,GO:0030193 凝血调节和 GO:0051917 纤维蛋白溶解调节是所有亚型的重要功能簇。此外,炎症途径是 LAA 和腔隙性脑卒中的关键病因,而 FOS 和 JAK2/STAT3 信号通路可能导致心源性栓塞性脑卒中。由于与 SOE 和 SUE 相关的许多风险因素,这两种亚型的确切病因仍有待确定。

相似文献

1
Biomarkers for ischemic stroke subtypes: A protein-protein interaction analysis.缺血性脑卒中亚型的生物标志物:蛋白质-蛋白质相互作用分析。
Comput Biol Chem. 2019 Dec;83:107116. doi: 10.1016/j.compbiolchem.2019.107116. Epub 2019 Sep 7.
2
Using Extracellular Circulating microRNAs to Classify the Etiological Subtypes of Ischemic Stroke.利用细胞外循环 microRNAs 对缺血性脑卒中的病因亚型进行分类。
Transl Stroke Res. 2019 Aug;10(4):352-361. doi: 10.1007/s12975-018-0659-2. Epub 2018 Sep 4.
3
Ischemic stroke subtypes: risk factors, functional outcome and recurrence.缺血性中风亚型:危险因素、功能转归及复发
Neurol Sci. 2002 Mar;22(6):449-54. doi: 10.1007/s100720200004.
4
Inflammatory and metabolic markers and short-time outcome in patients with acute ischemic stroke in relation to TOAST subtypes.急性缺血性脑卒中患者炎症和代谢标志物及短期预后与TOAST亚型的关系
Metab Brain Dis. 2015 Dec;30(6):1417-28. doi: 10.1007/s11011-015-9731-8. Epub 2015 Sep 11.
5
Microbubble signal and trial of org in acute stroke treatment (TOAST) classification in ischemic stroke.脑缺血中风的微泡信号和 ORG 试验(TOAST)分类。
J Neurol Sci. 2018 Jul 15;390:150-155. doi: 10.1016/j.jns.2018.04.034. Epub 2018 Apr 22.
6
[TOAST subtyping of acute ischemic stroke].[急性缺血性卒中的TOAST分型]
Zhonghua Nei Ke Za Zhi. 2004 Jul;43(7):495-8.
7
[Estimating disability-adjusted life-years for subtypes of acute ischemic stroke].[急性缺血性卒中亚型的伤残调整生命年估计]
Rev Salud Publica (Bogota). 2016 Apr;18(2):226-237. doi: 10.15446/rsap.v18n2.31692.
8
Comparison of acute ischemic stroke evaluation and the etiologic subtypes between university and nonuniversity hospitals in Isfahan, Iran.伊朗伊斯法罕市大学医院与非大学医院急性缺血性脑卒中评估及病因亚型比较。
Int J Stroke. 2019 Aug;14(6):613-619. doi: 10.1177/1747493019828648. Epub 2019 Mar 12.
9
Association of plasma brain natriuretic peptide levels in acute ischemic stroke subtypes and outcome.急性缺血性卒中亚型血浆脑钠肽水平与预后的关系
J Stroke Cerebrovasc Dis. 2015 Feb;24(2):485-91. doi: 10.1016/j.jstrokecerebrovasdis.2014.09.025. Epub 2014 Dec 16.
10
Endothelial function and arterial stiffness indexes in subjects with acute ischemic stroke: Relationship with TOAST subtype.急性缺血性脑卒中患者的内皮功能和动脉僵硬度指标:与TOAST亚型的关系。
Atherosclerosis. 2017 Jan;256:94-99. doi: 10.1016/j.atherosclerosis.2016.10.044. Epub 2016 Oct 29.

引用本文的文献

1
Artificial Intelligence in Cardiology and Atherosclerosis in the Context of Precision Medicine: A Scoping Review.精准医学背景下心脏病学与动脉粥样硬化领域的人工智能:一项范围综述
Appl Bionics Biomech. 2024 Apr 30;2024:2991243. doi: 10.1155/2024/2991243. eCollection 2024.
2
Update on Biomarkers Associated with Large-Artery Atherosclerosis Stroke.大动脉粥样硬化性脑卒中相关生物标志物的研究进展。
Biomolecules. 2023 Aug 16;13(8):1251. doi: 10.3390/biom13081251.
3
Proteomics-Based Approach to Identify Novel Blood Biomarker Candidates for Differentiating Intracerebral Hemorrhage From Ischemic Stroke-A Pilot Study.
基于蛋白质组学的方法识别用于区分脑出血和缺血性中风的新型血液生物标志物候选物——一项初步研究
Front Neurol. 2021 Dec 17;12:713124. doi: 10.3389/fneur.2021.713124. eCollection 2021.
4
Monocyte/High-Density Lipoprotein Ratio Predicts the Prognosis of Large Artery Atherosclerosis Ischemic Stroke.单核细胞/高密度脂蛋白比值可预测大动脉粥样硬化性缺血性卒中的预后。
Front Neurol. 2021 Nov 29;12:769217. doi: 10.3389/fneur.2021.769217. eCollection 2021.
5
Molecular Human Targets of Bioactive Alkaloid-Type Compounds from Jacq.从 Jacq. 中提取的生物活性生物碱型化合物的分子人类靶点
Molecules. 2021 Jun 21;26(12):3765. doi: 10.3390/molecules26123765.
6
Network Protein Interaction in Parkinson's Disease and Periodontitis Interplay: A Preliminary Bioinformatic Analysis.帕金森病与牙周炎相互作用的网络蛋白互作:初步生物信息学分析。
Genes (Basel). 2020 Nov 23;11(11):1385. doi: 10.3390/genes11111385.