west china medical publishers
Author
  • Title
  • Author
  • Keyword
  • Abstract
Advance search
Advance search

Search

find Author "WU Xintong" 3 results
  • 新医科+5G 背景下神经病学课堂教学模式新探索

    本文针对《神经病学》课程教学“一言堂”模式存在的诸多问题,提出在新医科背景下探索如何利用 5G 技术结合现有线上线下混合教学模式,如翻转课堂与线上答疑会结合、手机教学与计算机辅助结合、对分课堂与科研实践结合等来改善教学效果。各大院校应更应立足自身学校发展优势,提前研究 5G 及相关技术发展趋势,抢先布局打造 5G 智慧校园,以期在未来课程教学改革中实现教学水平和科研水平双提升。新型线上线下混合模式教学可有效改善学习气氛,增强学生的自我学习能力,有助于课堂上师生之间的沟通交流,达到教师引导、学生为主体的教学模式,最终让新技术照亮未来课堂。

    Release date:2021-06-24 01:26 Export PDF Favorites Scan
  • Gene expression profile of frontal lobe in Parkinson disease based on bioinformatics analysis

    ObjectiveTo conduct a bioinformatics analysis of gene expression profiles in frontal lobe of patients with Parkinson disease (PD), in order to explore the potential mechanism related to depression in PD.MethodsAll the bioinformatics data before March 20th 2019 were acquired from Gene Expression Omnibus (GEO) database, using " Parkinson disease” as the key word. The species was limited to human (Homo sapiens), and the detective method was limited to expression profiling by array. ImgGEO (Integrative Gene Expression Meta-Analysis from GEO database), DAVID (the Database for Annotation, Visualization and Integrated Discovery), STRING and Cytoscape 3.6.1 software were utilized for data analysis.ResultsTotally, 45 samples (24 PD cases and 21 healthy controls) were obtained from 2 datasets. We identified 236 differentially expressed genes (DEGs) in the post-mortem frontal lobe between PD cases and healthy controls, in which 146 genes were up-regulated and 90 genes were down-regulated. Based on Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis, the DEGs were mainly enriched in the structures of postsynaptic membrane, cell membrane component, postsynaptic membrane dense area, and myelin sheath, and were involved in the occurrence of PD, depression, and other diseases. These genes were involved in the biological processes of dopaminergic, glutamate-nergic, GABA-nergic synapses, and some other synapses, as well as several signaling pathways (e.g. mitogen- activated protein kinase signal pathway, p53 signal pathway, and Wnt signal pathway), which were associated with PD and depression pathogenesis. Besides, we found that NFKBIA, NRXN1, and RPL35A were the Hub proteins.ConclusionsGene expression in frontal lobe of patients with PD is associated with the pathogenesis of PD. This study provides a theoretical basis for understanding the mechanism of PD occurrence and progression, as well as the potential mechanism of depression in PD.

    Release date:2019-11-25 04:42 Export PDF Favorites Scan
  • The application of valproic acid in epilepsy and comorbidities as a broad-spectrum anti-seizure medication

    Valproic acid can reduce the frequency of seizures through various mechanisms and is widely used in clinical practice as a monotherapy or adjunctive treatment for various types of epilepsy and epileptic syndromes. In addition, valproic acid has significant therapeutic effects on comorbidities associated with epilepsy, such as migraines and psychiatric disorders. It can also be effective in terminating status epilepticus and is commonly used as a broad-spectrum antieseizure medication in clinical settings. However, valproic acid has side effects such as teratogenicity, infertility, and menstrual disorders. Additionally, when used in combination with other drugs, the interactions between medications should be carefully considered. Therefore, in clinical practice, it is necessary to strictly adhere to the indications and dosage regimens for the use of valproic acid. This article provides a comprehensive review of the use of valproic acid in different types of seizures, epileptic syndromes, comorbidities associated with epilepsy, post-craniotomy cases, status epilepticus, and special populations. It also summarizes the combination therapy of valproic acid with other drugs, providing a basis for the rational use of valproic acid and individualized drug treatment selection for epilepsy patients.

    Release date: Export PDF Favorites Scan
1 pages Previous 1 Next

Format

Content