Associations of serum microRNA and triglyceride-glucose index with severity and prognosis of acute ischemic stroke
- VernacularTitle:血清微小核糖核酸及甘油三酯葡萄糖指数与急性缺血性脑卒中严重程度及预后的关系
- Author:
Tingting DONG
1
;
Yunfang LIU
;
Fengli XING
Author Information
- Keywords: microRNA-15; microRNA-16; microRNA-17-5p; triglyceride-glucose index; a-cute ischemic stroke; modified Rankin Scale; prognosis; predictive efficacy
- From: Journal of Clinical Medicine in Practice 2025;29(16):62-67,72
- CountryChina
- Language:Chinese
- Abstract: Objective To analyze the relationships of serum microRNA(miR)-15,miR-16,miR-17-5p,and triglyceride-glucose index(TyG)with severity and prognosis of acute ischemic stroke(AIS).Methods A total of 136 AIS patients admitted to the Shijiazhuang Hospital of Traditional Chi-nese Medicine from April 2023 to April 2024 were enrolled.Prognosis and disease severity were as-sessed using modified Rankin Scale(mRS)and National Institutes of Health Stroke Scale(NIHSS),respectively.Based on mRS scores at 3 months post-onset,patients were divided into poor prognosis group(mRS Score＞2,n=42)and good prognosis group(mRS Score ≤ 2,n=94).Serum levels of miR-15,miR-16,miR-17-5p,TyG,and NIHSS scores were compared between two groups.Pearson correlation analysis was used to evaluate associations of these biomarkers with NIHSS scores.Logistic regression was used to identify risk factors for poor prognosis,while receiver operating characteristic(ROC)curves was applied to assess the predictive value of individual and combined biomarkers.Results The poor prognosis group exhibited significantly higher serum miR-15,miR-16,miR-17-5p,TyG,and NIHSS scores than the good prognosis group(t=8.634,13.171,29.018,2.687,26.432;P＜0.05).Positive correlations were observed between these biomarkers and NIHSS scores(r=0.472,0.449,0.492,0.437;P＜0.05).Logistic regression identified miR-15[OR(95％CI):3.526(2.628 to 5.859)],miR-16[1.976(1.226 to 3.017)],miR-17-5p[1.828(1.294 to 3.428)],NIHSS score[1.787(1.105 to 2.896)],TyG[1.886(1.233 to 3.284)],and homo-cysteine[1.906(1.252 to 3.794)]as independent risk factors for poor prognosis(P＜0.05).ROC analysis demonstrated that the combined model(miR-15,miR-16,miR-17-5p,TyG,and NIHSS)achieved superior predictive performance(AUC=0.877;95％CI,0.820 to 0.948)com-pared to individual biomarkers(Z＞2.527,P＜0.05).Conclusion Elevated serum miR-15,miR-16,miR-17-5p,and TyG are closely associated with AIS severity and poor prognosis.The above indicators combined with NIHSS scores can enhance predictive accuracy for unfavorable outcomes.
