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基于质谱与生物信息学的冠状动脉严重钙化患者血浆蛋白质组学研究
引用本文:张步春,孔祥勇,邱广泉,周俊岭,李龙伟,马礼坤.基于质谱与生物信息学的冠状动脉严重钙化患者血浆蛋白质组学研究[J].临床心血管病杂志,2022(1):34-39.
作者姓名:张步春  孔祥勇  邱广泉  周俊岭  李龙伟  马礼坤
作者单位:中国科学技术大学附属第一医院(安徽省立医院)心血管内科
基金项目:安徽省卫生健康委科研资助项目(No:AHWJ2021b082);合肥市科委项目(No:J2019Y02)。
摘    要:目的:基于非标记蛋白组学方法筛选冠状动脉(冠脉)严重钙化病变患者外周血浆中的特异性蛋白质标志物.方法:采用数据非依赖采集质谱技术检测30例冠脉严重钙化病变患者与30例非钙化对照人群血浆,生物信息学软件进一步分析差异表达蛋白质数据.结果:冠脉严重钙化病变患者与非钙化人群血浆相比较,共筛选出表达量差异2倍以上的差异蛋白共2...

关 键 词:冠状动脉钙化  血浆  蛋白质组学

Research on plasma proteome of patients with severe coronary artery calcifications based on mass spectrometry and bioinformatics
ZHANG Buchun,KONG Xiangyong,QIU Guangquan,ZHOU Junling,LI Longwei,MA Likun.Research on plasma proteome of patients with severe coronary artery calcifications based on mass spectrometry and bioinformatics[J].Journal of Clinical Cardiology,2022(1):34-39.
Authors:ZHANG Buchun  KONG Xiangyong  QIU Guangquan  ZHOU Junling  LI Longwei  MA Likun
Institution:(Department of Cardiology,The First Affiliated Hospital,Division of Life Sciences and Medicine,University of Science and Technology of China,Hefei,230001,China)
Abstract:Objective: Screening of specific plasma protein markers from patients with severe coronary artery calcifications using label free quantitative proteomics. Methods: Plasmas were obtained from 30 patients with severe coronary artery calcifications and 30 non-calcification patients and DIA mass spectrometry-based proteomics were used to detect the proteins in plasma. Bioinformatics analysis tools were used to analysis the dysregulated proteomics data. Results: A total of 28 plasma proteins were differentially expressed between the coronary calcification patients and controls, with 20 upregulated and 8 downregulated. Gene ontology(GO) analysis indicated that differentially expressed proteins were mainly distributed in extracellular region, extracellular region part, and extracellular organelle. Biological process was mainly involved in cellular process, response to stimulus, actin cytoskeleton organization, leukocyte mediated immunity and cell activation. Molecular function was primarily associated with protein binding, signaling receptor binding, and cytokine receptor binding. Kyoto Encyclopedia of Genes and Genomes(KEGG) analysis revealed that these differentially expressed proteins were mainly involved in complement and coagulation cascade pathway, glycolysis/gluconeogenesis, Rap1 signaling pathway, HIF-1 signaling pathway, and apoptosis. Conclusion: This study demonstrated that significant differences in plasma proteomics were detected between patients with severe coronary artery calcifications and non-calcification controls. These dysregulated proteins would be novel biomarkers for differential diagnosis of severe coronary artery calcification.
Keywords:coronary calcification  plasma  proteome
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