Project description:Intracerebral hemorrhage (ICH) is a life-threatening condition associated with significant morbidity and mortality. Understanding the molecular mechanisms underlying ICH and its severe form is crucial for developing effective therapeutic strategies. This study investigates transcriptomic alterations in rodent models of ICH and severe intracerebral hemorrhage 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 intracerebral hemorrhage and severe intracerebral hemorrhage rats. We further employed heatmaps and volcano plots to identify differentially expressed genes and utilized bar plots and KEGG pathway analysis to elucidate the different molecular pathways involved. Using comprehensive RNA sequencing and bioinformatics analyses, 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, intracerebral hemorrhage, and severe intracerebral hemorrhage groups in the upregulated genes group, and 1196 common genes in the downregulated genes. A volcano plot comparing the 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.
Project description:To investigate age-dependent transcriptomic changes between young or aged intracerebral hemorrhage mice, we established collagenase IV-induced intracerebral hemorrhage mice models. Intracerebral hemorrhage was induced by infusion of sterile collagenase IV in ipsilateral caudate putamen of brain. We then performed gene expression profiling analysis using data obtained from RNA-seq of brain perihematomal tissues from young or aged ICH mice 24 hours after intracerebral hemorrhage.
Project description:We tested the hypothesis that circulating microRNAs (miRNAs) present in plasma might display a specific signature in patients with intracerebral hemorrhage (ICH). Global miRNA profiles were determined with the Agilent Human miRNA Microarray platform, 027233. ICH patients display a characteristic inflammation-related miRNA profile as compared to healthy controls.
Project description:We aimed to investigate the microbial community composition in patients with intracerebral hemorrhage (ICH) and its effect on prognosis. The relationship between changes in bacterial flora and the prognosis of spontaneous cerebral hemorrhage was studied in two cohort studies. Fecal samples from healthy volunteers and patients with intracerebral hemorrhage were subjected to 16S rRNA sequencing at three time points: T1 (within 24 hours of admission), T2 (3 days post-surgery), and T3 (7 days post-surgery) using Illumina high-throughput sequencing technology.
Project description:We tested the hypothesis that circulating microRNAs (miRNAs) present in plasma might display a specific signature in patients with intracerebral hemorrhage (ICH). Global miRNA profiles were determined with the Agilent Human miRNA Microarray platform, 027233. ICH patients display a characteristic inflammation-related miRNA profile as compared to healthy controls. Plasma samples were collected from the following 6 subject groups: male ICH patients (n=8), female ICH patients (n=7), male healthy control (n=4), female healthy control (n=4), male ischemic stroke patients (n=8) and female ischemic stroke patients (n=8). Total RNAs isolated from 1 ml plasma were pooled for each group. A fixed volume of RNA sample was withdrawn from each pool and used for microarray detection.
Project description:We compare the perihematoma tissues before and after intracerebral hemorrhage in rats. Gene Ontology functional annotation, Protein interaction network analysis, reverse transcription quantitative PCR technology, Western blot technology, immunofluorescence technology and Causal network analysis are used to detect the changes of RET before and after intracerebral hemorrhage and the pathways in which RET might be involved.
Project description:To identify the potential lncRNA and mRNA post intracerebral hemorrhage (ICH), we have employed lncRNA microarray expression profiling. 570 mRNAs and 313 lncRNAs were identified in the ICH vs sham group .Expression of six mRNA (Saa3, Col10a1, Mmp13, Oxt, Pcdhb6 and Resp18) and lncRNA (ENSMUT00000141700, AK143011, ENSMUT00000128306, AK030988, ENSMUST00000187076 and ENSMUST00000134129) from this signature was quantified by qPCR.