Differences in fibrin fiber diameters in healthy individuals and thromboembolic ischemic stroke patients

Cerebrovascular disease is one of the leading causes of death and the cause of long-term adult disability. An important characteristic of thromboembolic ischemic stroke is a prothrombotic or hypercoagulable state and altered fibrin clot structure, whereas a resistance to fibrinolysis is also present. An expansive fibrin network is created when adding thrombin, and in stroke, the network appears thickened, netted and matted, compared with that of healthy individuals. Although this is clearly visible in micrographs of patients, there is a need to quantify the changes. The current study, therefore, investigates fibrin fiber diameters in stroke patients and compares it to healthy individuals. The fiber diameters were measured in nanometres, with University of Texas Health Science Center at San Antonio (UTHSCSA) Image Tool. A total of 100 measurements were done for each of the 12 patients in the healthy control group, and the same number of measurements was done for 12 stroke patients. These measurements were statistically analysed with NCSS 2007, using a significance level of 0.05. Normality was assessed with the Shapiro-Wilk W test and the thickest and thinnest fiber of each individual in the two groups was quantified and differences between groups were assessed with the Student's t-test. Results showed that there is a statistical difference in fibrin fiber thickness during thromboembolic ischemic stroke. We conclude that the changed coagulation and hemostasis, typically associated with stroke, causes a statistically relevant change in fibrin thickness, and that this netted and matted network is more resistant to lyses.http://journals.lww.com/bloodcoagulationhb2016AnatomyPhysiolog

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder