Disturbed flow induces a sustained, stochastic NF-κB activation which may support intracranial aneurysm growth in vivo.
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ABSTRACT:
SUBMITTER: Baeriswyl DC
PROVIDER: S-EPMC6426999 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundIntracranial aneurysm (IA) rupture is life-threatening. However, the mechanisms underlying IA initiation, progression, and rupture remain poorly understood. In the present study, we examined the role of primary cilia in IA development.ResultsIA was experimentally induced in mice with elastase and angiotensin II treatment. The number of cells with primary cilia was determined in both IA and peri-IA regions. The role of primary cilia in IA development was assessed through knocking out or manipulating the expression of important components of primary cilia. Finally the role of primary cilia in human IA patients was studied. In the mice model of IA, the primary cilia number was significantly decreased in the IA region. Knocking out Polycystin 1, Polycystin 2, and Intraflagellar Transport 88 in mice would increase the susceptibility of mice to IA development. The IA development could be modulated through manipulating the pathways that regulate primary cilia dynamics. And chemical screening showed that the three factors (PHA 680623, Rapamycin, and Forskolin) could efficiently suppress the IA development. Finally, we demonstrated that the primary cilia deficiency in IA development is conserved in humans. And IA patients had a higher frequency of gene mutations which are related to primary cilia regulation.ConclusionOur study provides an important support for the role of primary cilia in the development of IA. The primary cilia stabilizing chemicals might be useful for preventing IA development.
| S-EPMC5895168 | biostudies-literature
Project description:BackgroundThis study was performed to identify genes and lncRNAs involved in the pathogenesis of subarachnoid hemorrhage (SAH) from ruptured intracranial aneurysm (RIA).MethodsMicroarray GSE36791 was downloaded from Gene Expression Omnibus (GEO) database followed by the identification of significantly different expressed RNAs (DERs, including lncRNA and mRNA) between patients with SAH and healthy individuals. Then, the functional analyses of DEmRNAs were conducted and weighted gene co-expression network analysis (WGCNA) was also performed to extract the modules associated with SAH. Following, the lncRNA-mRNA co-expression network was constructed and the gene set enrichment analysis (GSEA) was performed to screen key RNA biomarkers involved in the pathogenesis of SAH from RIA. We also verified the results in a bigger dataset GSE7337.ResultsTotally, 561 DERs, including 25 DElncRNAs and 536 DEmRNAs, were identified. Functional analysis revealed that the DEmRNAs were mainly associated with immune response-associated GO-BP terms and KEGG pathways. Moreover, there were 6 modules significantly positive-correlated with SAH. The lncRNA-mRNA co-expression network contained 2 lncRNAs (LINC00265 and LINC00937) and 169 mRNAs. The GSEA analysis showed that these two lncRNAs were associated with three pathways (cytokine-cytokine receptor interaction, neurotrophin signaling pathway, and apoptosis). Additionally, IRAK3 and NFKBIA involved in the neurotrophin signaling pathway and apoptosis while IL1R2, IL18RAP and IL18R1 was associated with cytokine-cytokine receptor interaction pathway. The expression levels of these genes have the same trend in GSE36791 and GSE7337.ConclusionLINC00265 and LINC00937 may be implicated with the pathogenesis of SAH from RIA. They were involved in three important regulatory pathways. 5 mRNAs played important roles in the three pathways.
| S-EPMC8120017 | biostudies-literature
Project description:Enlargement of a pre-existing intracranial aneurysm is a well-established risk factor of rupture. Excessive low wall shear stress concomitant with turbulent flow in the dome of an aneurysm may contribute to progression and rupture. However, how stress conditions regulate enlargement of a pre-existing aneurysm remains to be elucidated.Wall shear stress was calculated with 3D-computational fluid dynamics simulation using three cases of unruptured intracranial aneurysm. The resulting value, 0.017 Pa at the dome, was much lower than that in the parent artery. We loaded wall shear stress corresponding to the value and also turbulent flow to the primary culture of endothelial cells. We then obtained gene expression profiles by RNA sequence analysis. RNA sequence analysis detected hundreds of differentially expressed genes among groups. Gene ontology and pathway analysis identified signaling related with cell division/proliferation as overrepresented in the low wall shear stress-loaded group, which was further augmented by the addition of turbulent flow. Moreover, expression of some chemoattractants for inflammatory cells, including MCP-1, was upregulated under low wall shear stress with concomitant turbulent flow. We further examined the temporal sequence of expressions of factors identified in an in vitro study using a rat model. No proliferative cells were detected, but MCP-1 expression was induced and sustained in the endothelial cell layer.Low wall shear stress concomitant with turbulent flow contributes to sustained expression of MCP-1 in endothelial cells and presumably plays a role in facilitating macrophage infiltration and exacerbating inflammation, which leads to enlargement or rupture.
| S-EPMC4862234 | biostudies-literature
Project description:Shear stress was reported to regulate the expression of AC007362, but its underlying mechanisms remain to be explored. In this study, to isolate endothelial cells of blood vessels, unruptured and ruptured intracranial aneurysm (IA) tissues were collected from IA patients. Subsequently, quantitative real-time PCR (qRT-PCR), Western blot and luciferase assay were performed to investigate the relationships between AC007362, miRNAs-493 and monocyte chemoattractant protein-1 (MCP-1) in human umbilical vein endothelial cells (HUVECs) exposed to shear stress. Reduced representation bisulphite sequencing (RRBS) was performed to assess the level of DNA methylation in AC007362 promoter. Accordingly, AC007362 and MCP-1 were significantly up-regulated while miR-493 was significantly down-regulated in HUVECs exposed to shear stress. AC007362 could suppress the miR-493 expression and elevate the MCP-1 expression, and miR-493 was shown to respectively target AC007362 and MCP-1. Moreover, shear stress in HUVECs led to the down-regulated DNA methyltransferase 1 (DNMT1), as well as the decreased DNA methylation level of AC007362 promoter. Similar results were also observed in ruptured IA tissues when compared with unruptured IA tissues. In conclusion, this study presented a deep insight into the operation of the regulatory network of AC007362, miR-493 and MCP-1 upon shear stress. Under shear stress, the expression of AC007362 was enhanced by the inhibited promoter DNA methylation, while the expression of MCP-1 was enhanced by sponging the expression of miR-493.
| S-EPMC7810920 | biostudies-literature
Project description:Based on sequencing technology to evaluate the differential lncRNA and mRNA expression of intracranial aneurysms. Provide ideas for the study of epigenetic regulation of intracranial aneurysms
2020-09-26 | GSE158558 | GEO
Project description:Endovascular treatment of intracranial aneurysms with complex morphologies such as giant, wide-necked, or fusiform aneurysms is challenging. Stent-assisted coiling and balloon-assisted coiling are alternative techniques to treat such complex aneurysms, but studies have shown less-than-expected efficacy, as suggested by their high rate of recanalization. The management of complex aneurysms via microsurgery or conventional neuroendovascular strategies has traditionally been poor. However, over the last few years, flow-diverting stents (FDS) have revolutionized the treatment of such aneurysms. FDS are implanted within the parent artery rather than the aneurysm sac. By modifying intra-aneurysmal and parent-vessel flow dynamics at the aneurysm/parent vessel interface, FDS trigger a cascade of gradual intra-aneurysmal thrombosis. As endothelialization of the FDS is complete, the parent vessel reconstructs while preserving the patency of normal perforators and side branch vessels. As with any intervention, the practice and application of flow-diversion technology is inherent, with risks that include vessel rupture or perforation, in-stent thrombosis, perforator occlusion, procedural and delayed hemorrhages, and perianeurysmal edema. Herein, we review the devices, their mechanisms of actions, clinical applications, complications, and ongoing studies.
| S-EPMC4965406 | biostudies-literature
Project description:OBJECTIVEFlow diverters (FDs) are designed to occlude intracranial aneurysms (IAs) while preserving flow to essential arteries. Incomplete occlusion exposes patients to risks of thromboembolic complications and rupture. A priori assessment of FD treatment outcome could enable treatment optimization leading to better outcomes. To that end, the authors applied image-based computational analysis to clinically FD-treated aneurysms to extract information regarding morphology, pre- and post-treatment hemodynamics, and FD-device characteristics and then used these parameters to train machine learning algorithms to predict 6-month clinical outcomes after FD treatment.METHODSData were retrospectively collected for 84 FD-treated sidewall aneurysms in 80 patients. Based on 6-month angiographic outcomes, IAs were classified as occluded (n = 63) or residual (incomplete occlusion, n = 21). For each case, the authors modeled FD deployment using a fast virtual stenting algorithm and hemodynamics using image-based computational fluid dynamics. Sixteen morphological, hemodynamic, and FD-based parameters were calculated for each aneurysm. Aneurysms were randomly assigned to a training or testing cohort in approximately a 3:1 ratio. The Student t-test and Mann-Whitney U-test were performed on data from the training cohort to identify significant parameters distinguishing the occluded from residual groups. Predictive models were trained using 4 types of supervised machine learning algorithms: logistic regression (LR), support vector machine (SVM; linear and Gaussian kernels), K-nearest neighbor, and neural network (NN). In the testing cohort, the authors compared outcome prediction by each model trained using all parameters versus only the significant parameters.RESULTSThe training cohort (n = 64) consisted of 48 occluded and 16 residual aneurysms and the testing cohort (n = 20) consisted of 15 occluded and 5 residual aneurysms. Significance tests yielded 2 morphological (ostium ratio and neck ratio) and 3 hemodynamic (pre-treatment inflow rate, post-treatment inflow rate, and post-treatment aneurysm averaged velocity) discriminants between the occluded (good-outcome) and the residual (bad-outcome) group. In both training and testing, all the models trained using all 16 parameters performed better than all the models trained using only the 5 significant parameters. Among the all-parameter models, NN (AUC = 0.967) performed the best during training, followed by LR and linear SVM (AUC = 0.941 and 0.914, respectively). During testing, NN and Gaussian-SVM models had the highest accuracy (90%) in predicting occlusion outcome.CONCLUSIONSNN and Gaussian-SVM models incorporating all 16 morphological, hemodynamic, and FD-related parameters predicted 6-month occlusion outcome of FD treatment with 90% accuracy. More robust models using the computational workflow and machine learning could be trained on larger patient databases toward clinical use in patient-specific treatment planning and optimization.
| S-EPMC6421840 | biostudies-literature
Project description:As the EU IP @neurIST Project aims at integrating biomedical informatics technologies in the assessment of rupture risks and treatments of cerebral aneurysms in humans. Genetic involvement in the disease is known, mRNA biomarkers will be searched as possible risk factors in easy to assess PBMCs (peripheral blood cells). The aim of this pilot study is specifically to check the clinical samples going from the patientï¾s bed side to the genomic analysis platform. Briefly, we hybridized biotin labelled cRNA from 2 controls (C1, C2), 1 patient bearing an intracranial aneurysm (I) and 1 patients bearing an intracranial aneurysm and subarachnoid haemorrhage (S). For each sample, one technical replicate was performed. Thus a total of 8 arrays was used.
2010-12-01 | E-TABM-421 | biostudies-arrayexpress
Project description:Intracranial aneurysm (IA) is a pathological dilation of the cerebral artery which has a potential to rupture leading to sub arachnoid haemorrhage (SAH). One third of the patients with aneurysmal SAH (aSAH) develop symptomatic narrowing of the blood vessels called cerebral vasospasm. The outcomes in the above clinical scenarios are variable and devastating. The study was designed to decipher the molecular mechanisms underlying the pathophysiology of intracranial aneurysm formation, its rupture and subsequent development of vasospasm at the proteomic level. The study was done in two phases – discovery phase and validation phase. We performed iTRAQ-based quantitative proteomic analysis of brain vessel tissue and serum samples in three subgroups of patients with IA and compared them with those of control group (subjects with no cerebrovascular disorder) during the discovery phase. In validation phase, dysregulated proteins of biological significance i.e. ORM1 as a biomarker for unruptured aneurysm and MMP9 as a biomarker for cerebral vasospasm were validated in larger cohort of patients.
2022-09-07 | PXD013442 | Pride
Project description:Intracranial aneurysm is a cerebrovascular disorder in which degeneration of intima and internal elastic lamina of a cerebral artery or vein causes a localized dilation or ballooning of the blood vessel. Different molecular mechanisms are involved in sIA formation in patients. We used microarrays to detail the gene expression of intracranial aneurysm.
2016-12-01 | GSE75436 | GEO