Suppr超能文献

基于生物信息学分析的特应性皮炎关键基因及通路的相关性研究。

Association of Key Genes and Pathways with Atopic Dermatitis by Bioinformatics Analysis.

机构信息

Department of Infectious Diseases, Qilu Hospital, Shandong University, Jinan, Shandong, China (mainland).

出版信息

Med Sci Monit. 2019 Jun 11;25:4353-4361. doi: 10.12659/MSM.916525.

Abstract

BACKGROUND Atopic dermatitis is a chronic inflammatory disease of the skin. It has a high prevalence worldwide and affected persons are prone to recurrent attacks, seriously affecting the physical and mental of patients. The exact etiology of the disease is still unclear. MATERIAL AND METHODS There are 7 datasets on atopic dermatitis in the Gene Expression Omnibus database, including 142 lesional and 134 non-lesional skin biopsy samples. Differential analysis was performed after datasets were integrated by robust multi-array average method. Functional modules of GSE99802 were explored by weighted gene co-expression network analysis. The 4 most important modules were enriched into the pathways by Metascape. RESULTS Significantly differentially expressed genes included 41 upregulated and 10 downregulated genes. The following 5 of the most important upregulated genes had the strongest association with atopic dermatitis. SERPINB3&4 promote inflammation and impaired skin barrier function in the early stage of atopic dermatitis. S100A9 aggravates the inflammatory response by inducing the activation of toll-like receptor 4, neutrophil chemotaxis, neutrophilic inflammation, and the amplification of interleukin-8. MMP1 is the key protease of skin collagen degradation, keeping the extracellular matrix in dynamic balance. MMP12 induces the aggregation of various inflammatory cells into inflammatory tissue. The enriched pathways of each module mainly include Cellular responses to external stimuli, Metabolism of RNA and Translation, and Infectious disease. CONCLUSIONS The associated pathways and genes not only help us understand the molecular mechanism of the disease, but also provide research directions or targets for accurate diagnosis and treatment.

摘要

背景

特应性皮炎是一种慢性炎症性皮肤病。它在全球范围内的患病率很高,患者容易反复发作,严重影响患者的身心健康。疾病的确切病因尚不清楚。

材料和方法

在基因表达综合数据库中,有 7 个特应性皮炎数据集,包括 142 个病变和 134 个非病变皮肤活检样本。通过稳健多数组平均方法整合数据集后进行差异分析。通过加权基因共表达网络分析探索 GSE99802 的功能模块。Metascape 将 4 个最重要的模块富集到通路中。

结果

差异表达基因包括 41 个上调和 10 个下调基因。以下 5 个最重要的上调基因与特应性皮炎的相关性最强。SERPINB3&4 在特应性皮炎的早期阶段促进炎症和损害皮肤屏障功能。S100A9 通过诱导 toll 样受体 4 的激活、中性粒细胞趋化、中性粒细胞炎症和白细胞介素-8 的放大,加剧炎症反应。MMP1 是皮肤胶原降解的关键蛋白酶,使细胞外基质保持动态平衡。MMP12 诱导各种炎症细胞聚集到炎症组织中。每个模块的富集通路主要包括细胞对外界刺激的反应、RNA 和翻译的代谢以及传染病。

结论

相关通路和基因不仅有助于我们了解疾病的分子机制,还为准确诊断和治疗提供了研究方向或目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc39/6582687/ab44d489fa69/medscimonit-25-4353-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验