Identification and analysis of immune aging related biomarkers in cartilage and meniscus tissues of osteoarthritis.

IF 1.3 Q4 IMMUNOLOGY
American journal of clinical and experimental immunology Pub Date : 2025-08-15 eCollection Date: 2025-01-01 DOI:10.62347/XRGR9217
Zhian Chen, Mingjun Li, Yujiao Feng, Yanling Chen, Zhijun Cai, Yongqing Xu, Rongqing Pang
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Abstract

This study aimed to investigate the relationship between immunosenescence and osteoarthritis (OA) and analyze its potential clinical implications. Thus, we conducted transcriptome sequencing by collecting clinical meniscus (Aging_meniscus:Control_meniscus = 3:7) and cartilage tissues (Aging_cartilage:Control_cartilage = 2:6). Meanwhile, immune-related genes (IRGs) and aging-related genes (ARGs) were included in this research. The differentially expressed genes (DEGs) between Aging_meniscus and Control_meniscus as well as Aging_cartilage and Control_cartilage were analyzed by differential analysis, respectively. Then, differentially expressed IRGs (DEIRGs) were generated by crossing DEG with IRGs. Similarly, differentially expressed ARGs (DEARGs) were achieved by intersecting DEG and ARGs. To obtain genes simultaneously associated with immune and aging in both meniscus and cartilage samples, biomarkers were screened out by crossing share.IRGs and share.ARGs overlapped by DEIRGs1 and DEIRGs2 as well as DEARGs1 and DEARGs2, respectively. In addition, the biomarkers' functions were analyzed by gene set enrichment analysis (GSEA). To detect the regulatory mechanism, a miRNA-mRNA-transcription factors (TFs) regulatory network and a X2K network were constructed. Moreover, disease association analysis and potential small molecule drugs for biomarkers were also performed to further reveal the possible role of biomarkers for OA. Then, 3 biomarkers, namely Insulin-like Growth Factor 1 Receptor (IGF1R), Interleukin 7 receptor (IL7R) and Leptin receptor (LEPR), were selected out through the intersection of 14 share.IRGs and 4 share.ARGs. And they were all enriched in 'ribosome' from both meniscus and cartilage samples, and had complex regulatory networks. In all, the expression of IGF1R was markedly up-regulated in OA (P < 0.05). Eventually, mecasermin could stably bind to IGF1R and simvastatin could stably bind to LEPR. It suggested that mecasermin and simvastatin may exhibit significant clinical potential in treating immunosenescence-related OA.

骨关节炎软骨和半月板组织中免疫衰老相关生物标志物的鉴定和分析。
本研究旨在探讨免疫衰老与骨关节炎(OA)的关系,并分析其潜在的临床意义。因此,我们收集临床半月板(Aging_meniscus:Control_meniscus = 3:7)和软骨组织(aging_软骨:control_软骨= 2:6)进行转录组测序。同时,免疫相关基因(IRGs)和衰老相关基因(ARGs)也被纳入本研究。Aging_meniscus和Control_meniscus以及aging_软骨和control_软骨之间的差异表达基因(DEGs)分别通过差异分析进行分析。然后,将DEG与IRGs杂交生成差异表达的IRGs (DEIRGs)。同样,差异表达ARGs (DEARGs)是通过DEG和ARGs相交得到的。为了在半月板和软骨样本中同时获得与免疫和衰老相关的基因,通过交叉份额筛选生物标志物。IRGs和共享。ARGs分别与DEIRGs1和DEIRGs2以及DEARGs1和DEARGs2重叠。此外,通过基因集富集分析(GSEA)分析了生物标志物的功能。为了检测其调控机制,我们构建了mirna - mrna -转录因子(TFs)调控网络和X2K网络。此外,我们还进行了疾病关联分析和潜在的生物标志物小分子药物,以进一步揭示生物标志物在OA中的可能作用。然后,通过14个share的交集,选择出胰岛素样生长因子1受体(IGF1R)、白细胞介素7受体(IL7R)和瘦素受体(LEPR) 3个生物标志物。irg和4共享arg。它们都富含来自半月板和软骨样本的“核糖体”,并且具有复杂的调节网络。总之,IGF1R在OA中表达明显上调(P < 0.05)。最终,mecasermin能够稳定结合IGF1R,辛伐他汀能够稳定结合LEPR。这表明,甲塞蛋白和辛伐他汀在治疗免疫衰老相关的OA方面可能具有显著的临床潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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