Fu Qingan, Shen Tianzhou, Qiu Weihan, Liao Yanhui, Yu Miao, Zhou Yue
Cardiovascular Medicine Department, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
School of Computer Science, South China Normal University, Guangzhou, China.
BMC Med Genomics. 2025 Apr 3;18(1):63. doi: 10.1186/s12920-025-02129-0.
Inflammatory Bowel Disease (IBD), which includes Crohn's disease and ulcerative colitis, is associated with an increased risk of Acute Myocardial Infarction (AMI). The genetic mechanisms underlying this link are not well understood.
We downloaded IBD and AMI-related microarray datasets from the NCBI Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified and analyzed using enrichment analysis and Weighted Gene Co-expression Network Analysis (WGCNA). Machine learning techniques, including LASSO, random forest, and Boruta, were employed to screen for hub genes. These genes were validated through qRT-PCR and Western blotting. Single-cell sequencing was used to confirm findings. Additionally, potential therapeutic targets were identified using the Connectivity Map (CMap) database.
Five key hub genes-THBD, FOSB, ADGPR3, IL1R2, and PLAUR-were identified as significantly involved in both IBD and AMI pathogenesis. A diagnostic model for AMI constructed using these hub genes demonstrated high predictive accuracy. Single-cell sequencing analysis and several potential drugs targeting these hub genes were identified, offering new therapeutic avenues.
This study highlights the crucial role of FOSB and other hub genes in the comorbidity of IBD and AMI. The findings provide novel insights for early diagnosis and potential therapeutic strategies, emphasizing the importance of further investigation into these genetic links.
炎症性肠病(IBD),包括克罗恩病和溃疡性结肠炎,与急性心肌梗死(AMI)风险增加相关。这种关联背后的遗传机制尚不清楚。
我们从NCBI基因表达综合数据库(GEO)下载了与IBD和AMI相关的微阵列数据集。使用富集分析和加权基因共表达网络分析(WGCNA)来识别和分析差异表达基因(DEG)。采用包括套索回归、随机森林和博鲁塔算法在内的机器学习技术筛选枢纽基因。通过qRT-PCR和蛋白质免疫印迹法对这些基因进行验证。使用单细胞测序来确认研究结果。此外,利用连通性图谱(CMap)数据库确定潜在的治疗靶点。
五个关键枢纽基因——血栓调节蛋白(THBD)、FOSB、黏附G蛋白偶联受体3(ADGPR3)、白细胞介素1受体2(IL-1R2)和尿激酶型纤溶酶原激活物受体(PLAUR)——被确定为在IBD和AMI发病机制中均有显著作用。使用这些枢纽基因构建的AMI诊断模型显示出较高的预测准确性。确定了单细胞测序分析以及几种靶向这些枢纽基因的潜在药物,为治疗提供了新途径。
本研究强调了FOSB和其他枢纽基因在IBD和AMI合并症中的关键作用。这些发现为早期诊断和潜在治疗策略提供了新见解,强调了进一步研究这些遗传关联的重要性。