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利用生物信息学和系统生物学方法,鉴定 COVID-19 与非酒精性脂肪性肝病的相互作用机制。

Using bioinformatics and systems biology methods to identify the mechanism of interaction between COVID-19 and nonalcoholic fatty liver disease.

机构信息

Shandong Traditional Chinese Medicine University, Jinan, China.

Beijing University of Chinese Medicine, Beijing, China.

出版信息

Medicine (Baltimore). 2023 Jun 9;102(23):e33912. doi: 10.1097/MD.0000000000033912.

Abstract

Nonalcoholic fatty liver disease (NAFLD) is considered a risk factor for severe COVID-19, but the mechanism remains unknown. This study used bioinformatics to help define the relationship between these diseases. The GSE147507 (COVID-19), GSE126848 (NAFLD), and GSE63067 (NAFLD-2) datasets were screened using the Gene Expression Omnibus. Common differentially expressed genes were then identified using a Venn diagram. Gene ontology analysis and KEGG pathway enrichment were performed on the differentially expressed genes. A protein-protein interaction network was also constructed using the STRING platform, and key genes were identified using the Cytoscape plugin. GES63067 was selected for validation of the results. Analysis of ferroptosis gene expression during the development of the 2 diseases and prediction of their upstream miRNAs and lncRNAs. In addition, transcription factors (TFs) and miRNAs related to key genes were identified. Effective drugs that act on target genes were found in the DSigDB. The GSE147507 and GSE126848 datasets were crossed to obtain 28 co-regulated genes, 22 gene ontology terms, 3 KEGG pathways, and 10 key genes. NAFLD may affect COVID-19 progression through immune function and inflammatory signaling pathways. CYBB was predicted to be a differential ferroptosis gene associated with 2 diseases, and the CYBB-hsa-miR-196a/b-5p-TUG1 regulatory axis was identified. TF-gene interactions and TF-miRNA coregulatory network were constructed successfully. A total of 10 drugs, (such as Eckol, sulfinpyrazone, and phenylbutazone) were considered as target drugs for Patients with COVID-19 and NAFLD. This study identified key gene and defined molecular mechanisms associated with the progression of COVID-19 and NAFLD. COVID-19 and NAFLD progression may regulate ferroptosis through the CYBB-hsa-miR-196a/b-5p-TUG1 axis. This study provides additional drug options for the treatment of COVID-19 combined with NAFLD disease.

摘要

非酒精性脂肪性肝病(NAFLD)被认为是严重 COVID-19 的危险因素,但发病机制尚不清楚。本研究采用生物信息学方法帮助定义这些疾病之间的关系。使用基因表达综合数据库筛选 GSE147507(COVID-19)、GSE126848(NAFLD)和 GSE63067(NAFLD-2)数据集。使用 Venn 图识别共同差异表达基因。对差异表达基因进行基因本体分析和 KEGG 通路富集分析。使用 STRING 平台构建蛋白质-蛋白质相互作用网络,并使用 Cytoscape 插件识别关键基因。选择 GES63067 对结果进行验证。分析这两种疾病发展过程中的铁死亡基因表达,预测其上游 miRNA 和 lncRNA。此外,还鉴定了与关键基因相关的转录因子(TFs)和 miRNA。在 DSigDB 中发现了作用于靶基因的有效药物。GSE147507 和 GSE126848 数据集交叉得到 28 个共调控基因、22 个基因本体术语、3 个 KEGG 通路和 10 个关键基因。NAFLD 可能通过免疫功能和炎症信号通路影响 COVID-19 进展。预测 CYBB 是与两种疾病相关的差异铁死亡基因,鉴定出 CYBB-hsa-miR-196a/b-5p-TUG1 调节轴。成功构建了 TF-基因相互作用和 TF-miRNA 核心调控网络。共发现 10 种药物(如 Eckol、磺胺吡啶和苯丁唑酮)被认为是 COVID-19 和 NAFLD 患者的靶向药物。本研究鉴定了关键基因,并定义了与 COVID-19 和 NAFLD 进展相关的分子机制。COVID-19 和 NAFLD 进展可能通过 CYBB-hsa-miR-196a/b-5p-TUG1 轴调节铁死亡。本研究为治疗 COVID-19 合并 NAFLD 疾病提供了额外的药物选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0172/10256337/07a757dcbfbd/medi-102-e33912-g001.jpg

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