综合转录组分析和机器学习揭示椎间盘退变与糖尿病之间的共享诊断基因和潜在机制
Shared diagnostic genes and potential mechanisms between intervertebral disc degeneration and diabetes mellitus revealed by integrated transcriptomic analysis and machine learning.
作者信息
Song Bao, Wang Jianmin, Tang Hao, Li Huadong, Zhang Wanli
机构信息
Department of Tuina, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
出版信息
Front Endocrinol (Lausanne). 2025 Jul 18;16:1576826. doi: 10.3389/fendo.2025.1576826. eCollection 2025.
INTRODUCTION
Intervertebral disc degeneration (IDD) and diabetes mellitus (DM) are clinically associated beyond traditional risk factors, yet the shared molecular mechanisms remain unclear.
METHODS
We integrated transcriptomic data from IDD and DM cohorts, performed differential expression and protein-protein interaction (PPI) network analyses, and applied machine learning to identify shared diagnostic genes. Pathway enrichment, immune infiltration analyses, and experimental qPCR validation were conducted to explore mechanisms and confirm findings.
RESULTS
We identified 138 shared differentially expressed genes enriched in immune-related pathways. Seven hub genes, including PRTN3, were identified by Random Forest models. PRTN3 showed consistent upregulation across discovery, validation, and internal cohorts. Pathway and immune analyses revealed strong associations between PRTN3 expression and neutrophil-related processes in both IDD and DM. Experimental validation confirmed PRTN3 upregulation in blood samples from patients with concurrent IDD and DM.
DISCUSSION
Our findings suggest that immune-inflammatory mechanisms, particularly involving neutrophils, underlie the comorbidity between IDD and DM. PRTN3 emerges as a promising shared diagnostic biomarker and potential therapeutic target for these conditions.
引言
椎间盘退变(IDD)和糖尿病(DM)在临床上存在超越传统危险因素的关联,但其共同的分子机制仍不清楚。
方法
我们整合了来自IDD和DM队列的转录组数据,进行了差异表达和蛋白质-蛋白质相互作用(PPI)网络分析,并应用机器学习来识别共同的诊断基因。进行了通路富集、免疫浸润分析和实验性qPCR验证,以探索机制并确认研究结果。
结果
我们鉴定出138个共同的差异表达基因,这些基因富集于免疫相关通路。通过随机森林模型鉴定出包括PRTN3在内的7个核心基因。PRTN3在发现队列、验证队列和内部队列中均表现出一致的上调。通路和免疫分析显示,PRTN3表达与IDD和DM中的中性粒细胞相关过程之间存在密切关联。实验验证证实了同时患有IDD和DM的患者血液样本中PRTN3上调。
讨论
我们的研究结果表明,免疫炎症机制,尤其是涉及中性粒细胞的机制,是IDD和DM合并症的基础。PRTN3成为这些病症有前景的共同诊断生物标志物和潜在治疗靶点。
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