Strokes usually results in long-term disability and death, and they occur worldwide. Recently, increased research on both on the physiopathological mechanisms and the transcriptome during stroke progression, have highlighted the relationship between stroke progression and immunity, with a special focus on inflammation. Here, we applied proteome analysis to a middle carotid artery occlusion (MCAO) mouse model at 0 h, 6 h, 12 h and 24 h, in which proteome profiling was performed with 23 samples, and 41 differentially expressed proteins (DEPs) were identified. Bioinformatics studies on our data revealed the importance of the immune response and particularly identified the inflammatory response, cytokine- cytokine receptor interactions, the innate immune response and reactive oxygen species (ROS) during stroke progression. In addition, we compared our data with multiple gene expression omnibus (GEO) datasets with and without a time series, in which similar pathways were identified, and three proteins, C3, Apoa4 and S100a9, were highlighted as markers or drug targets for stroke; these three proteins were significantly upregulated in the MCAO model, both in our proteomic data and in the GEO database.

中风通常会导致长期的残疾和死亡，并且在世界范围内普遍存在。最近，对卒中进展过程中的生理病理机制和转录组的研究越来越多，突出了卒中进展与免疫力之间的关系，特别是炎症。在这里，我们将蛋白质组学分析应用于0 h，6 h，12 h和24 h的颈中动脉闭塞（MCAO）小鼠模型，其中对23个样品进行了蛋白质组分析，并鉴定出41个差异表达蛋白（DEP）。 。对我们数据进行的生物信息学研究揭示了免疫反应的重要性，并特别确定了中风进展过程中的炎症反应，细胞因子与细胞因子受体的相互作用，先天性免疫反应和活性氧（ROS）。此外，我们将我们的数据与具有和不具有时间序列的多个基因表达总括（GEO）数据集进行了比较，其中确定了相似的途径，并突出显示了三种蛋白C3，Apoa4和S100a9作为中风的标志物或药物靶标；在蛋白质组学数据和GEO数据库中，这三种蛋白在MCAO模型中均显着上调。