Project description:Intracerebral hemorrhage (ICH) induces alterations in the gut microbiota composition, significantly impacting neuroinflammation post-ICH. However, the impact of gut microbiota absence on neuroinflammation following ICH-induced brain injury remain unexplored. Here, we observed that the gut microbiota absence was associated with reduced neuroinflammation, alleviated neurological dysfunction, and mitigated gut barrier dysfunction post-ICH. In contrast, recolonization of microbiota from ICH-induced SPF mice by transplantation of fecal microbiota (FMT) exacerbated brain injury and gut impairment post-ICH. Additionally, microglia with transcriptional changes mediated the protective effects of gut microbiota absence on brain injury, with Apoe emerging as a hub gene. Subsequently, Apoe deficiency in peri-hematomal microglia was associated with improved brain injury. Finally, we revealed that gut microbiota influence brain injury and gut impairment via gut-derived short-chain fatty acids (SCFA).
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 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: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: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.
2021-03-31 | GSE171144 | GEO
Project description:gut metagenome in patients with intracerebral hemorrhage
Project description:The present study aimed to identify and analyze the m6A profiles in the brain tissue of mice with intracerebral hemorrhage after acupuncture treatment.
