Khan Imran, Saeed Muhammad Hamza, Amjad Ammarah, Khan Faiza, Khan Qudsia Umaira, Raja Sohail Khan, Khan Rida
Medicine, Russells Hall Hospital, Dudley, GBR.
Internal Medicine, Russells Hall Hospital, Dudley, GBR.
Cureus. 2025 Jul 10;17(7):e87682. doi: 10.7759/cureus.87682. eCollection 2025 Jul.
Background This retrospective cross-sectional analysis assessed the regulatory role of microRNA-375 (miR-375) in the insulin signaling pathway and its clinical relevance for the treatment of type 2 diabetes mellitus (T2DM) in a Pakistani cohort. Methodology The study analyzed data from 300 adult patients with clinically confirmed T2DM to identify associations between miR-375 expression levels, insulin signaling pathway-specific biomarkers, glycemic indices, and treatment response. Results The mean miR-375 levels were found to be inversely correlated with HbA1c (r = -0.31, p < 0.01) and positively correlated with both insulin receptor substrate 1 expression (r = 0.29, p < 0.01) and phosphoinositide 3-kinase activity (r = 0.25, p < 0.01), indicating a proportionately enhanced insulin sensitivity with increased miR-375 expression. The one-way analysis of variance revealed significant differences in the expression of glucose transporter type 4 (GLUT4) between the three therapy response groups, with improved therapy responders displaying higher GLUT4 levels (p = 0.012). Logistic regression models identified miR-375 (odds ratio (OR) = 0.71, p < 0.05) and Framingham Risk Score (OR = 1.46, p < 0.001) as microRNA and clinical predictors, respectively, for cardiovascular disease, indicating its promise as a potential predictive biomarker. Hierarchical k-means clustering identified distinct patient subtypes to identify a high-risk patient profile based on insulin signaling and treatment adherence behaviors. Cluster 1, with high miR-375 and insulin sensitivity indicators, was associated with superior glycemic management and fewer comorbidities among participants in the study. Conclusions The results support the incorporation of miR-375 profiling in clinical practice to improve therapeutic stratification for T2DM by providing successful treatment predictions to improve metabolic outcomes. This study builds upon earlier findings and initiates a deeper understanding of miRNA-mediated modulation of the pathophysiology associated with T2DM. miR-375 is highlighted as a candidate biomarker for precision medicine.
背景 这项回顾性横断面分析评估了微小RNA - 375(miR - 375)在胰岛素信号通路中的调节作用及其在巴基斯坦队列中对2型糖尿病(T2DM)治疗的临床相关性。
方法 该研究分析了300例临床确诊的成年T2DM患者的数据,以确定miR - 375表达水平、胰岛素信号通路特异性生物标志物、血糖指数和治疗反应之间的关联。
结果 发现miR - 375的平均水平与糖化血红蛋白(HbA1c)呈负相关(r = -0.31,p < 0.01),与胰岛素受体底物1表达(r = 0.29,p < 0.01)和磷酸肌醇3激酶活性(r = 0.25,p < 0.01)均呈正相关,表明随着miR - 375表达增加,胰岛素敏感性相应增强。单因素方差分析显示,三种治疗反应组之间葡萄糖转运蛋白4(GLUT4)的表达存在显著差异,治疗反应改善的患者显示出更高的GLUT4水平(p = 0.012)。逻辑回归模型分别将miR - 375(比值比(OR)= 0.71,p < 0.05)和弗雷明汉风险评分(OR = 1.46,p < 0.001)确定为心血管疾病的微小RNA和临床预测指标,表明其有望成为潜在的预测生物标志物。分层k均值聚类确定了不同的患者亚型,以根据胰岛素信号和治疗依从行为确定高危患者特征。第1组具有高miR - 375和胰岛素敏感性指标,与研究参与者中更好的血糖管理和更少的合并症相关。
结论 研究结果支持将miR - 375分析纳入临床实践,通过提供成功的治疗预测以改善代谢结果,从而改善T2DM的治疗分层。本研究基于早期发现,开启了对miRNA介导的与T2DM相关病理生理学调节的更深入理解。miR - 375被突出为精准医学的候选生物标志物。