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

Abstract

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.