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全面的生物信息学分析揭示了骨关节炎和动脉粥样硬化之间共有的分子途径。

Comprehensive bioinformatics analysis uncover molecular pathways shared between osteoarthritis and atherosclerosis.

作者信息

Jin Yingchao, Zhang Hua

机构信息

Department of orthopaedics, The Second Hospital of Hebei Medical University, Shijiazhuang, China.

出版信息

BMC Musculoskelet Disord. 2025 May 7;26(1):449. doi: 10.1186/s12891-025-08563-6.

Abstract

BACKGROUND

There is growing evidence of an association between osteoarthritis (OA) and atherosclerosis (AS). However, their mechanisms are not yet fully understood. The aim of this study was to investigate the common genetic and molecular mechanisms underlying the common pathogenesis of OA and AS.

METHODOLOGY

Gene expression profiles of OA (GSE51588) and AS (GSE100927) were obtained from the Gene Expression Omnibus (GEO) database. After identifying shared differentially expressed genes (DEGs) and hub genes, we performed multifaceted bioinformatics analyses, including functional annotation, co-expression analysis, TF-mRNA and ceRNA regulatory network construction, pharmacogenetic prediction, and receiver operator characteristic (ROC) curve assessment. In addition, the immune infiltration of OA and AS was analyzed and compared based on the ssGSEA algorithm, and the correlation between hub genes and infiltrating immune cells was evaluated in OA and AS, respectively.

RESULT

A total of 48 up-regulated and 43 down-regulated public DEGs were screened between GSE51588 and GSE100927, and functional enrichment analysis emphasized the important role of immune and inflammatory pathways in OA and AS. After protein-protein interaction (PPI) network construction, a total of 9 hub genes (CCR5, IFIT2, MMP1, CXCL9, RSAD2, IFIH1, TNF, IFIT3, and TBX21) were identified as key genes. Targeting the key genes we identified several molecular drug candidates against OA combined with AS related. Additionally diagnostic efficacy assessment using 9 central genes showed great diagnostic value (area under the curve from 0.710 to 0.973). Immune infiltration study also revealed coordinated changes in immune cell profiles in OA and AS diseases.

CONCLUSION

After a series of bioinformatics analysis and validation, CCR5, IFIT2, MMP1, CXCL9, RSAD2, IFIH1, TNF, IFIT3 and TBX21 were identified as common hub genes for the development of OA and AS. This study provides a new perspective on the common molecular mechanisms between OA and AS, and offers new insights into the potential pathogenesis of OA combined with AS and the direction of treatment.

摘要

背景

越来越多的证据表明骨关节炎(OA)与动脉粥样硬化(AS)之间存在关联。然而,它们的机制尚未完全明确。本研究的目的是探讨OA和AS共同发病机制背后的共同遗传和分子机制。

方法

从基因表达综合数据库(GEO)中获取OA(GSE51588)和AS(GSE100927)的基因表达谱。在确定共享的差异表达基因(DEGs)和枢纽基因后,我们进行了多方面的生物信息学分析,包括功能注释、共表达分析、转录因子-信使核糖核酸(TF-mRNA)和竞争性内源性核糖核酸(ceRNA)调控网络构建、药物遗传学预测以及受试者工作特征(ROC)曲线评估。此外,基于单样本基因集富集分析(ssGSEA)算法分析并比较了OA和AS的免疫浸润情况,并分别评估了枢纽基因与OA和AS中浸润免疫细胞之间的相关性。

结果

在GSE51588和GSE100927之间共筛选出48个上调和43个下调的公共DEGs,功能富集分析强调了免疫和炎症途径在OA和AS中的重要作用。构建蛋白质-蛋白质相互作用(PPI)网络后,共鉴定出9个枢纽基因(CCR5、IFIT2、MMP1、CXCL9、RSAD2、IFIH1、TNF、IFIT3和TBX21)作为关键基因。针对这些关键基因,我们确定了几种与OA合并AS相关的分子药物候选物。此外,使用9个核心基因进行的诊断效能评估显示出巨大的诊断价值(曲线下面积从0.710到0.973)。免疫浸润研究还揭示了OA和AS疾病中免疫细胞谱的协同变化。

结论

经过一系列生物信息学分析和验证,CCR5、IFIT2、MMP1、CXCL9、RSAD2、IFIH1、TNF、IFIT3和TBX21被确定为OA和AS发展的共同枢纽基因。本研究为OA和AS之间的共同分子机制提供了新的视角,并为OA合并AS的潜在发病机制及治疗方向提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4f4/12057041/d89d50c96fa3/12891_2025_8563_Fig1_HTML.jpg

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