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.

脑出血是一种复杂的疾病，其预后和治疗靶点有限，机制难以捉摸。通过蛋白质组学方法，我们旨在探索 ICH 患者血肿周围组织的整体蛋白质表达谱，并确定潜在的病理生理途径和蛋白质标志物。使用 iTRAQ 标记的定量蛋白质组学技术，分析了四个 ICH 脑样本和四个非 ICH 脑样本。在 3740 种可量化的蛋白质中，与对照组相比，患者中有 884 种失调（p < 0.05)。经生物信息学分析，发现差异表达蛋白主要参与止血过程、营养代谢信号通路和抗氧化通路。此外，发现纤连蛋白 1 位于蛋白质-蛋白质相互作用网络的中心。总之，可能用于预测 ICH 预后的潜在途径和脑蛋白标志物是从血肿周围组织的蛋白质组学特征改变中获得的。因此，这些数据可能会对 ICH 引起的继发性脑损伤机制产生新的见解。