Cai Hanhua, Lan Yujian, Liu Huan, Hao Qi
Department of Orthopedics, Affiliated Hospital of Putian University, Putian, 351100, Fujian, China.
Department of Orthopaedics, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China.
BMC Musculoskelet Disord. 2025 May 28;26(1):527. doi: 10.1186/s12891-025-08788-5.
Heterotopic ossification is a frequent complication of soft tissue injuries, particularly in tendons. Although ossification in tendon tissue has been reported in a range of aging and disease models, the underlying biomarkers and mechanisms remain unknown. And the characterisation and sensitivity of previous diagnostic biomarkers for tendon ectopic ossification do not meet the demands of clinical use. The aim of this study was to characterise the effects of aging on ossification in the mouse Achilles tendon and to identify characteristic genes and therapeutic targets for tendon ossification in mice by using a machine learning approach.
We retrieved the transcriptome profile of GSE126118 from the Gene Expression Omnibus (GEO) database. Following background correction and normalization using the transcripts per million (TPM) method, differentially expressed genes (DEGs) were identified with the limma R package (p < 0.05, |log2FC| > 1). Subsequently, 468 senescence genes were downloaded from the Aging Atlas database, and senescence-associated DEGs (HO senescence genes) were identified. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and protein-protein interaction (PPI) network analyses were conducted on the identified DEGs. To further refine the HO aging signature, support vector machine (SVM) regression was employed. Additionally, we predicted transcription factors, miRNAs, and small molecule drugs potentially associated with the characterized genes.
Three characterised genes were identified as biomarkers associated with ectopic ossification and aging in the mouse Achilles tendon, Atp5o, Mmp2 and Mmp13. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed significant enrichment in processes related to cartilage endochondral ossification, metalloendopeptidase activity, and mitochondrial proton transport ATP synthase complex. Additionally, HIF-1 and GnRH signaling pathways were prominently represented among the differentially expressed genes.
Atp5o, Mmp2 and Mmp13 were identified as relevant signature genes for the effects of aging on Achilles tendon ossification in mice. Atp5o, Mmp2, and Mmp13 may influence tendon ossification by affecting mitochondrial function as well as extracellular matrix degradation to regulate senescence. This finding suggests a potential link between these processes, opening new avenues for research into diagnostic markers and therapeutic targets. These genes hold promise for the development of novel treatments for tendon ossification, a debilitating condition currently lacking effective therapeutic options.
异位骨化是软组织损伤的常见并发症,尤其是在肌腱中。尽管在一系列衰老和疾病模型中均有肌腱组织骨化的报道,但其潜在的生物标志物和机制仍不清楚。而且,先前用于诊断肌腱异位骨化的生物标志物的特征和敏感性均不能满足临床应用的需求。本研究的目的是通过机器学习方法来表征衰老对小鼠跟腱骨化的影响,并确定小鼠肌腱骨化的特征基因和治疗靶点。
我们从基因表达综合数据库(GEO)中检索了GSE126118的转录组图谱。采用百万转录本(TPM)方法进行背景校正和标准化后,使用limma R软件包鉴定差异表达基因(DEGs)(p < 0.05,|log2FC| > 1)。随后,从衰老图谱数据库中下载了468个衰老相关基因,并鉴定了衰老相关差异表达基因(HO衰老基因)。对鉴定出的DEGs进行基因本体(GO)、京都基因与基因组百科全书(KEGG)通路富集以及蛋白质-蛋白质相互作用(PPI)网络分析。为了进一步优化HO衰老特征,采用了支持向量机(SVM)回归。此外,我们预测了可能与特征基因相关的转录因子、miRNA和小分子药物。
鉴定出三个特征基因Atp5o、Mmp2和Mmp13作为与小鼠跟腱异位骨化和衰老相关的生物标志物。基因本体(GO)和京都基因与基因组百科全书(KEGG)通路富集分析显示,在与软骨内骨化、金属内肽酶活性和线粒体质子转运ATP合酶复合物相关的过程中显著富集。此外,缺氧诱导因子-1(HIF-1)和促性腺激素释放激素(GnRH)信号通路在差异表达基因中显著富集。
Atp5o、Mmp2和Mmp13被确定为衰老对小鼠跟腱骨化影响的相关特征基因。Atp5o、Mmp2和Mmp13可能通过影响线粒体功能以及细胞外基质降解来调节衰老,从而影响肌腱骨化。这一发现表明了这些过程之间的潜在联系,为诊断标志物和治疗靶点的研究开辟了新途径。这些基因有望用于开发治疗肌腱骨化的新疗法,肌腱骨化是一种目前缺乏有效治疗选择的使人衰弱的疾病。