Impact of the Total Number of Carotid Plaques on the Outcome of Ischemic Stroke Patients with Atrial Fibrillation

Endothelial glycocalyx and microvascular perfusion are associated with carotid intima-media thickness and impaired myocardial deformation in psoriatic disease

Psoriatic disease is associated with vascular and myocardial dysfunction. We aimed to evaluate endothelial glycocalyx barrier properties and microvascular perfusion in psoriatic patients, as well as their correlation with carotid intima-media thickness (cIMT) and markers of left ventricular (LV) myocardial deformation. We examined 297 psoriatic patients and 150 controls, adjusted for age, sex, and atherosclerotic risk factors. The severity of psoriatic disease was estimated using the psoriasis area and severity index (PASI). Perfused boundary region (PBR), a marker of glycocalyx barrier function, was measured non-invasively in sublingual microvessels with a diameter 5-25 μm using Sidestream Dark Field camera (Microscan, GlycoCheck). Increased PBR indicates reduced glycocalyx thickness. Indexes of microvascular perfusion, including red blood cells filling (RBCF) and functional microvascular density, were also calculated. We measured cIMT, coronary flow reserve (CFR) and markers of myocardial deformation by speckle-tracking imaging, namely global longitudinal strain (GLS) and percentage changes between peak twisting and untwisting at mitral valve opening (%dpTw-Utw_MVO). Compared to controls, psoriatic patients had higher PBR_5-25μm (2.13 ± 0.29μm versus 1.78 ± 0.25μm, p < 0.001) and lower RBCF and functional microvascular density (p < 0.001). Increased PASI was associated with elevated PBR and more impaired cIMT and GLS (p < 0.05). There was an inverse association of PBR with RBCF and functional microvascular density (p < 0.001). In psoriatic population, increased PBR was related to increased cIMT, reduced CFR, impaired GLS and decreased %dpTw-Utw_MVO (p < 0.001). Glycocalyx thickness is reduced in psoriatic patients, which in turn impairs microvascular perfusion, and is associated with carotid IMT and impaired coronary and myocardial function.Clinical Trial Registration-URL: http://www.clinicaltrials.gov . Unique identifier: NCT02144857.

Identification of Hub Genes Associated with Immune Infiltration in Cardioembolic Stroke by Whole Blood Transcriptome Analysis

Cardioembolic stroke (CS) is the most common type of ischemic stroke in the clinic, leading to high morbidity and mortality worldwide. Although many studies have been conducted, the molecular mechanism underlying CS has not been fully grasped. This study was aimed at exploring the molecular mechanism of CS using comprehensive bioinformatics analysis and providing new insights into the pathophysiology of CS. We downloaded the public datasets GSE58294 and GSE16561. Differentially expressed genes (DEGs) were screened via the limma package using R software. CIBERSORT was used to estimate the proportions of 22 immune cells based on the gene expression profiling of CS patients. Using weighted gene correlation network analysis (WGCNA) to cluster the genes into different modules and detect relationships between modules and immune cell types, hub genes were identified based on the intersection of the protein-protein interaction (PPI) network analysis and WGCNA, and their clinical significance was then verified using another independent dataset GSE16561. Totally, 319 genes were identified as DEGs and 5413 genes were clustered into nine modules using WGCNA. The blue module, with the highest correlation coefficient, was identified as the key module associated with stroke, neutrophils, and B cells naïve. Based on the PPI analysis and WGCNA, five genes (MCEMP1, CLEC4D, GPR97, TSPAN14, and FPR2) were identified as hub genes. Correlation analysis indicated that hub genes had general association with infiltration-related immune cells. ROC analysis also showed they had potential clinical significance. The results were verified using another dataset, which were consistent with our analysis. Five crucial genes determined using integrative bioinformatics analysis might play significant roles in the pathophysiological mechanism in CS and be potential targets for pharmaceutic therapies.

Updates in Stroke Treatment, Diagnostic Methods and Predictors of Outcome

In recent years, there have been outstanding achievements in stroke diagnosis and care [...].