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与暴发性 1 型糖尿病相关基因的综合分析。

Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes.

机构信息

Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.

Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan 430022, China.

出版信息

J Immunol Res. 2020 Oct 6;2020:1025857. doi: 10.1155/2020/1025857. eCollection 2020.

Abstract

OBJECTIVE

Fulminant type 1 diabetes (FT1D) is a type of type 1 diabetes, which is characterized by rapid onset of disease and severe metabolic disorders. We intend to screen for crucial genes and potential molecular mechanisms in FT1D in this study.

METHOD

We downloaded GSE44314, which includes six healthy controls and five patients with FT1D, from the GEO database. Identification of differentially expressed genes (DEGs) was performed by NetworkAnalyst. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of DEGs were screened by an online tool-Database for Annotation, Visualization, and Integration Discovery (DAVID). Protein-protein interaction (PPI) network and hub genes among DEGs were analyzed by NetworkAnalyst. And we also use NetworkAnalyst to find out the microRNAs (miRNAs) and transcription factors (TFs) which regulate the expression of DEGs.

RESULT

We identified 130 DEGs (60 upregulated and 70 downregulated DEGs) between healthy controls and FT1D patients. GO analysis results revealed that DEGs were mostly enriched in generation of precursor metabolites and energy, neurohypophyseal hormone activity, and mitochondrial inner membrane. KEGG pathway analysis demonstrated that DEGs were mostly involved in nonalcoholic fatty liver disease. Results indicated that NCOA1, SRF, ERBB3, EST1, TOP1, UBE2S, INO80, COX7C, ITGAV, and COX6C were the top hub genes in the PPI network. Furthermore, we recognized that LDLR, POTEM, IFNAR2, BAZ2A, and SRF were the top hub genes in the miRNA-target gene network, and SRF, TSPAN4, CD59, ETS1, and SLC25A25 were the top hub genes in the TF-target gene network.

CONCLUSION

Our study pinpoints key genes and pathways associated with FT1D by a sequence of bioinformatics analysis on DEGs. These identified genes and pathways provide more detailed molecular mechanisms of FT1D and may provide novel therapeutic targets.

摘要

目的

暴发性 1 型糖尿病(FT1D)是 1 型糖尿病的一种类型,其特征为疾病快速发作和严重代谢紊乱。本研究旨在筛选 FT1D 中的关键基因和潜在分子机制。

方法

我们从 GEO 数据库下载了包含 6 名健康对照和 5 名 FT1D 患者的 GSE44314。通过 NetworkAnalyst 进行差异表达基因(DEGs)鉴定。通过在线工具-Database for Annotation, Visualization, and Integration Discovery(DAVID)对 DEGs 的基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析进行筛选。通过 NetworkAnalyst 分析 DEGs 之间的蛋白质-蛋白质相互作用(PPI)网络和枢纽基因。我们还使用 NetworkAnalyst 找出调节 DEGs 表达的 microRNAs(miRNAs)和转录因子(TFs)。

结果

我们在健康对照和 FT1D 患者之间鉴定出 130 个 DEGs(60 个上调和 70 个下调的 DEGs)。GO 分析结果表明,DEGs 主要富集在前体代谢物和能量的产生、神经垂体激素活性和线粒体内膜。KEGG 途径分析表明,DEGs 主要参与非酒精性脂肪性肝病。结果表明,在 PPI 网络中,NCOA1、SRF、ERBB3、EST1、TOP1、UBE2S、INO80、COX7C、ITGAV 和 COX6C 是顶级枢纽基因。此外,我们发现 LDLR、POTEM、IFNAR2、BAZ2A 和 SRF 是 miRNA-靶基因网络中的顶级枢纽基因,而 SRF、TSPAN4、CD59、ETS1 和 SLC25A25 是 TF-靶基因网络中的顶级枢纽基因。

结论

通过对 DEGs 的一系列生物信息学分析,我们确定了与 FT1D 相关的关键基因和途径。这些鉴定出的基因和途径为 FT1D 提供了更详细的分子机制,并可能为新的治疗靶点提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2cc/7559223/718e530cc2c9/JIR2020-1025857.001.jpg

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