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骨关节炎中与半月板退变相关基因的鉴定:一项计算机模拟分析

Identification of Genes Linked to Meniscal Degeneration in Osteoarthritis: An In Silico Analysis.

作者信息

Papageorgiou Aliki-Alexandra, Balis Charalampos, Papathanasiou Ioanna

机构信息

Laboratory of Cytogenetics and Molecular Genetics, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, 41500 Larissa, Greece.

出版信息

Int J Mol Sci. 2025 Jul 11;26(14):6651. doi: 10.3390/ijms26146651.

Abstract

Meniscal degradation is considered a driver of osteoarthritis (OA) progression, but the underlying mechanisms leading to age-related meniscus degeneration remain unknown. This study aimed to identify key genes and pathways involved in meniscal degradation through a computational analysis. Gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database. Differential expression gene (DEG) analysis was performed using DESeq2 accompanied by functional enrichment analysis, protein-protein interaction (PPI) and clustering analysis. Additionally, gene set enrichment analysis (GSEA) was performed. A total of 85 mRNAs (DEMs) and 8 long non-coding RNAs (DE LncRNAs) were found to be differentially expressed in OA meniscus tissues. Among 85 DEMs, 12 genes were found to be known OA-related genes, whereas 15 genes acted as transcription regulators, including and , which were identified as effector genes for OA. Enrichment analysis revealed the implication of DEMs in cartilage-degradation-related processes, including inflammatory pathways, lipid metabolism, extracellular matrix organization and superoxide/nitric oxide metabolic processes. Target genes of DE lncRNAs were found to be involved in chondrocyte differentiation and pathways related to cartilage degradation. A comparative analysis of meniscus, synovium and cartilage datasets identified three genes (, and ) as being differentially expressed across all three OA-affected tissues, which were implicated in inflammatory and cholesterol metabolism processes. Our results support that shared mechanisms lead to meniscal and cartilage degradation during OA progression, providing further insights into the processes underlying OA pathogenesis and potential therapeutic targets for knee OA.

摘要

半月板退变被认为是骨关节炎(OA)进展的一个驱动因素,但导致与年龄相关的半月板退变的潜在机制仍不清楚。本研究旨在通过计算分析确定参与半月板退变的关键基因和通路。从基因表达综合数据库(GEO)获取基因表达谱。使用DESeq2进行差异表达基因(DEG)分析,并伴有功能富集分析、蛋白质-蛋白质相互作用(PPI)和聚类分析。此外,还进行了基因集富集分析(GSEA)。共发现85个信使核糖核酸(DEM)和8个长链非编码核糖核酸(DE LncRNA)在OA半月板组织中差异表达。在85个DEM中,发现12个基因是已知的OA相关基因,而15个基因作为转录调节因子,包括 和 ,它们被确定为OA的效应基因。富集分析揭示了DEM在软骨降解相关过程中的作用,包括炎症途径、脂质代谢、细胞外基质组织和超氧化物/一氧化氮代谢过程。发现DE lncRNA的靶基因参与软骨细胞分化和与软骨降解相关的通路。对半月板、滑膜和软骨数据集的比较分析确定了三个基因(、 和 )在所有三个受OA影响的组织中差异表达,它们与炎症和胆固醇代谢过程有关。我们的结果支持在OA进展过程中共同的机制导致半月板和软骨降解,为OA发病机制的潜在治疗靶点提供了进一步的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc19/12294481/5650d65ddbad/ijms-26-06651-g001.jpg

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