Examining Transcriptomic Alterations in Rat Models of Intracerebral Hemorrhage and Severe Intracerebral Hemorrhage.

Intracerebral hemorrhage (ICH) is a life-threatening condition associated with significant morbidity and mortality. This study investigates transcriptomic alterations in rodent models of ICH and severe ICH to shed light on the genetic pathways involved in hemorrhagic brain injury. We performed principal component analysis, revealing distinct principal component segments of normal rats compared to ICH and severe ICH rats. We employed heatmaps and volcano plots to identify differentially expressed genes and utilized bar plots and KEGG pathway analysis to elucidate the molecular pathways involved. We identified a multitude of differentially expressed genes in both the ICH and severe ICH models. Our results revealed 5679 common genes among the normal, ICH, and severe ICH groups in the upregulated genes group, and 1196 common genes in the downregulated genes, respectively. A volcano plot comparing these groups further highlighted common genes, including PDPN, TIMP1, SERPINE1, TUBB6, and CD44. These findings underscore the complex interplay of genes involved in inflammation, oxidative stress, and neuronal damage. Furthermore, pathway enrichment analysis uncovered key signaling pathways, including the TNF signaling pathway, protein processing in the endoplasmic reticulum, MAPK signaling pathway, and Fc gamma R-mediated phagocytosis, implicated in the pathogenesis of ICH.

The value of early NSE combined with BIS monitoring in predicting the neurological prognosis in patients with severe intracerebral hemorrhage / 中华急诊医学杂志

Objective:To investigate the clinical value of neuron specific enolase (NSE) and bispectral index (BIS ) in predicting the neurological prognosis in patients with severe intracerebral hemorrhage.Methods:Patients with severe intracerebral hemorrhage admitted to the ICU of Xiaolan Hospital of Southern Medical University from January 2019 to December 2020 were selected, and serum NSE detection and BIS monitoring were performed at an early stage. According to the Glasgow outcome scale (GOS) at 90 days after intracerebral hemorrhage, the patients were divided into the good neurologic prognosis group (GOS 4-5) and poor neurologic prognosis group (GOS 1-3). The levels of NSE and BIS between the two groups were compared. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive value of NSE, BIS and their combination in predicting neurological prognosis.Results:A total of 126 patients with severe intracerebral hemorrhage were enrolled in this study, and 32 patients (25.4%) had poor neurological prognosis. The level of NSC in the poor neurological prognosis group was significantly higher than that in the good neurologic prognosis group [28 (13.7, 50.4) ng/mL vs. 13.5 (9.6, 18.5) ng/mL, P < 0.05], while the BIS level was significantly lower than that in the good neurologic prognosis group [32 (25.2, 45) vs. 55 (48, 62.2), P <0.05]. For detection of poor neurologic outcome in patients with severe intracerebral hemorrhage, NSE and BIS yielded the AUC values of 0.768 (0.685, 0.839) and 0.866 (0.793, 0.920), respectively, with cut-off values of 21.7 ng/mL and 47, respectively. The combination of NSE and BIS yielded a remarkably higher AUC value of 0.927 (0.867, 0.966) for predicting poor neurologic outcome than each index alone ( P<0.05). Conclusions:Early monitoring of NSE and BIS can effectively predict the neurological prognosis of patients with severe intracerebral hemorrhage, and the combination of NSE and BIS can further improve the prediction efficiency.