Correction: Thangameeran et al. Examining Transcriptomic Alterations in Rat Models of Intracerebral Hemorrhage and Severe Intracerebral Hemorrhage. Biomolecules 2024, 14, 678.

In the original publication [...].

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.

Influence of Alcohol on Intracerebral Hemorrhage: From Oxidative Stress to Glial Cell Activation.

The intricate relationship between alcohol consumption and intracerebral hemorrhage (ICH) presents a nuanced field of study, especially concerning the dose-dependent impact on secondary brain injury (SBI). Recognizing the established risks associated with heavy drinking, this review delves deeper into the less understood territories of low to moderate alcohol consumption. By systematically analyzing recent studies, we uncover critical insights into how varying alcohol intake levels modulate ICH risk through mechanisms such as microglial activation, oxidative stress, and the protective potential of polyphenols. This analysis extends beyond the hypertensive effects of heavy alcohol use to explore the complex molecular pathophysiology involved in alcohol-related ICH. Our findings indicate that while heavy alcohol use unequivocally exacerbates ICH risk, moderate consumption and its associated polyphenols may offer neuroprotective effects against SBI, albeit within a finely balanced threshold. This review highlights the significant gaps in current understanding and underscores the urgent need for targeted research to elucidate these complex interactions. Through this comprehensive examination, we aim to inform more nuanced public health policies and intervention strategies, taking into account the diverse effects of alcohol consumption on ICH risk.

Experimental animal models and evaluation techniques in intracerebral hemorrhage.

Intracerebral hemorrhage (ICH) is the most lethal type of cerebral stroke without effective therapy. Although clinical trials with various surgeries have been conducted, none have improved clinical outcomes compared to the current medical management for ICH. Several ICH animal models, including autologous blood injection, collagenase injection, thrombin injection, and microballoon inflation methods, have been developed to elucidate the underlying mechanisms of ICH-induced brain injury. These models could also be used for discovering new therapy for ICH preclinically. We summarize the existing ICH animal models and the evaluation parameters used to measure the disease outcomes. We conclude that these models, resembling the different aspects of ICH pathogenesis, have their advantages and disadvantages. None of the current models closely represent the severity of ICH seen in clinical settings. More appropriate models are needed to streamline ICH's clinical outcomes and be used for validating newly developed treatment protocols.