Peripheral blood immune landscape and NXPE3 as a novel biomarker for hypertensive intracerebral hemorrhage risk prediction and targeted therapy

Abstract

We employed bulk RNA-seq and scRNA-seq techniques to analyze the immune dysregulation in patients with intracerebral hemorrhage (ICH). The study revealed that excessive inflammatory responses, neutrophil activation, and T-cell dysfunction are the main characteristics of ICH. A multi-machine learning framework was utilized to construct a predictive model for ICH risk in hypertensive patients. Molecular docking and simulation results demonstrated that NXPE3 is a potential therapeutic target, and dihydroergotamine (DHE) exhibits a strong binding affinity to NXPE3. In vivo experiments indicated that DHE can reduce the incidence of spontaneous ICH and modulate the immune-inflammatory response. These results support DHE targeting NXPE3 as a potential therapeutic strategy for hypertension-related ICH.