Proteomic Analysis of Perihematoma Tissue from Patients with Intracerebral Hemorrhage Using iTRAQ-Based Quantitative Proteomics

脑出血 蛋白质组学 定量蛋白质组学 神经学 生物信息学 蛋白质表达 医学 计算生物学 病理 生物 神经科学 生物化学 内科学 基因 蛛网膜下腔出血
作者
Bin Chen,Mingjian Liu,Zhenghong Chen,Xiaorong Gao,Yijun Cheng,Yongxu Wei,Zhe Wu,Hanbing Shang
出处
期刊:Neuromolecular Medicine [Springer Science+Business Media]
卷期号:23 (3): 395-403 被引量:2
标识
DOI:10.1007/s12017-020-08637-9
摘要

Intracerebral hemorrhage is a complicated disorder with limited proven prognostic and therapeutic targets and elusive mechanisms. With proteomic methods, we aimed to explore the global protein expression profile of perihematomal tissue from ICH patients and identify potential pathophysiological pathways and protein markers. Using iTRAQ-labeling quantitative proteomics technology, four ICH brain sample and four non-ICH brain samples were analyzed. Among the 3740 quantifiable proteins, 884 were dysregulated in the patients compared to those in the controls (p < 0.05). After bioinformatics analysis, the differentially expressed proteins were found to be mostly involved in hemostatic processes, nutrient metabolism signaling pathways, and antioxidation pathways. Moreover, fibronectin 1 was revealed to be at the center of the protein–protein interaction networks. In summary, the potential pathways and brain protein markers that could potentially be used to predict the prognosis of ICH were obtained from the altered proteomic profile of perihematomal tissue. Thus, these data may yield novel insights into the mechanisms of ICH-induced secondary brain injury.
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