BackgroundThe pathogenesis of chronic spontaneous urticaria (CSU) is unclear, and it turned out to be involved in biological processes, such as autoimmunity, autoallergy, inflammation, and coagulation. The gut microbiota plays an important role in immune and inflammatory diseases. However, the relationship between chronic spontaneous urticaria and the gut microbiota remains unknown.MethodsThe stool and serum samples were taken from 15 CSU patients and 15 normal controls. Changes in the composition of gut microbiota and serum metabolism in CSU patients and normal controls were analyzed by 16S ribosomal RNA (rRNA) gene sequencing and untargeted metabolomics.ResultsThe results of 16S rRNA gene sequencing showed that compared with normal controls, CSU patients had increased α-diversity of gut microbiota and significant differences in β-diversity. At the phylum level, the relative abundance of Firmicutes increased and the relative abundance of Bacteroidetes and Proteobacteria decreased in CSU patients compared with healthy controls. At the genus level, six kinds of bacteria were significantly enriched in CSU patients and five in normal controls. Metabolomic analysis revealed altered levels of metabolites such as unsaturated fatty acids and purines. Correlation analysis of gut microbiota and metabolites showed that Lachnospira was negatively correlated with arachidonic acid, and Gemmiger was also negatively correlated with (±)8-HETE.ConclusionThis study suggests that changes in gut microbiota and metabolites may play a role in immune and inflammatory pathways in the pathogenesis of CSU patients.
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Objective: The mortality of rebleeding after ruptured intracranial aneurysms was more than 40%. It is essential to identify the intracranial artery in sectional anatomy. However, it is difficult for students to understand the intracranial artery in the section. Therefore, the purpose of this study is to explore the application effect of three-dimensional (3D) reconstruction and numerical simulation of intracranial aneurysm for sectional anatomy based on computed tomography angiography (CTA). Method: Sixty students in medical imaging specialty of our university were divided into two groups. The control group was taught with conventional sectional anatomy and CT images, while the observation group was taught with 3D reconstruction and numerical simulation of intracranial aneurysm. The teaching characteristics and teaching effects were analyzed and compared between the two groups. Result: The 3D reconstruction can accurately express the size, direction, and adjacent relationship of aneurysms. Through rotation of the 3D image, students can easily understand the name and location of cerebral arteries. Combined with the function of 3D positioning, each blood vessel can automatically and accurately locate in the transverse, coronal, and sagittal plane. Abnormal wall shear stress was easily found in the intersection of cerebral artery circle, which was the physiological basis for the occurrence of aneurysms. There was a high shear zone in the root of an aneurysm, which was the physiological factor of rupture. The scores of sectional specimen identification, drawing examination, and theoretical assessment in the observation group were significantly higher than those in the control group (P < 0.05). Conclusion: The 3D reconstruction and numerical simulation can directly display the 3D morphological and physiological characteristics of intracranial aneurysms, which is convenient for students to understand and memorize. It can reach a good teaching effect in sectional anatomy.
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