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数据挖掘揭示了糖尿病足溃疡与外周动脉疾病之间的关联。

Data mining reveal the association between diabetic foot ulcer and peripheral artery disease.

机构信息

Department of Cosmetic Plastic and Burn Surgery, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China.

Department of Plastic and Burn Surgery, The Second Affiliated Hospital of Chengdu Medical College, China National Nuclear Corporation 416 Hospital, Chengdu, China.

出版信息

Front Public Health. 2022 Aug 18;10:963426. doi: 10.3389/fpubh.2022.963426. eCollection 2022.

Abstract

BACKGROUND

Diabetic foot ulcer (DFU) and peripheral artery disease (PAD) are common diseases that seriously affect the quality of life and bring a huge economic burden to society. Although mounting evidence supports a close link between the two disorders, the mechanisms of comorbidity remain to be fully elucidated.

METHODS

The gene expression profiles of DFU (GSE80178) and PAD (GSE100927) were downloaded from the Gene Expression Omnibus (GEO) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) performed pathway enrichment analysis for common differentially expressed genes (DEGs) present in DFU and PAD. Subsequently, we constructed a protein-protein interaction (PPI) network using the STRING database and detected core modules and hub genes in the network. Finally, we analyzed the co-expression network and the TF-miRNA-mRNA regulatory network of hub genes.

RESULTS

A total of 167 common DEGs (91 up-regulated genes and 76 down-regulated genes) was selected for subsequent analyses. Functional analysis emphasizes the important role of chemokines and cytokines in these two diseases. Finally, six hub genes were identified using cytoHubba, including CXCL8, IL1RN, MMP1, CD68, CCR7 and CCL3.

CONCLUSIONS

The hub genes and signaling pathways involved can regulate both diseases simultaneously, suggesting a close relationship between the molecular mechanisms of the two diseases and possible targets for drugs that intervene in both diseases.

摘要

背景

糖尿病足溃疡(DFU)和外周动脉疾病(PAD)是常见疾病,严重影响生活质量,并给社会带来巨大的经济负担。尽管越来越多的证据支持这两种疾病之间存在密切联系,但发病机制仍有待充分阐明。

方法

从基因表达综合数据库(GEO)下载 DFU(GSE80178)和 PAD(GSE100927)的基因表达谱。对 DFU 和 PAD 中共有的差异表达基因(DEGs)进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析。随后,我们使用 STRING 数据库构建了蛋白质-蛋白质相互作用(PPI)网络,并检测了网络中的核心模块和枢纽基因。最后,我们分析了枢纽基因的共表达网络和 TF-miRNA-mRNA 调控网络。

结果

共筛选出 167 个共同的 DEGs(91 个上调基因和 76 个下调基因)进行后续分析。功能分析强调了趋化因子和细胞因子在这两种疾病中的重要作用。最后,使用 cytoHubba 鉴定出 6 个枢纽基因,包括 CXCL8、IL1RN、MMP1、CD68、CCR7 和 CCL3。

结论

所涉及的枢纽基因和信号通路可以同时调节这两种疾病,提示这两种疾病的分子机制密切相关,可能存在同时干预这两种疾病的药物靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca9a/9433977/ba4e7d9bc199/fpubh-10-963426-g0001.jpg

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