NINJ1 and MMP9: potential biomarkers for intracranial atherosclerosis plaque vulnerability

医学 易损斑块 脆弱性(计算) 心脏病学 MMP9公司 神经科学 生物 计算机科学 计算机安全 生物化学 基因 下调和上调
作者
Xiaolian Wei,Xin Da,Yuge Zhang,Ziang Li,Bingjie Liu,Ruifang Yan,Hua Zhong,Bin Yuan
出处
期刊:Frontiers in Neurology [Frontiers Media]
卷期号:16
标识
DOI:10.3389/fneur.2025.1552948
摘要

To utilize high-resolution vessel wall imaging (HR-VWI) to identify the characteristic features of culprit plaques in intracranial atherosclerotic stenosis (ICAS) vessels and evaluate the predictive value of serum nerve injury-induced protein 1 (NINJ1) and matrix metalloproteinase 9 (MMP9) for the vulnerability of intracranial atherosclerotic plaques. This study included symptomatic intracranial atherosclerotic stenosis (sICAS) patients who underwent high-resolution vessel wall imaging (HR-VWI) and healthy individuals. Patients were divided into non-enhancement/enhancement, moderate/severe stenosis, and positive/negative remodeling groups. Multivariate logistic regression and receiver operating characteristic (ROC) curve analyses were used to evaluate the predictive value of NINJ1 and MMP9 for plaque enhancement, severe stenosis, and positive remodeling. NINJ1 and MMP9 levels were higher in the plaque enhancement group compared to the non-enhancement group (107.04 vs. 93.49, p = 0.001; 245.35 vs. 227.16, p = 0.002) and were independent risk factors for plaque enhancement (OR: 1.036, p = 0.003; OR: 1.022, p = 0.008). The area under the curve (AUC) for predicting plaque enhancement by NINJ1 and MMP9 were 0.676 and 0.667, respectively, and the combined AUC was 0.740. In the severe stenosis group, NINJ1 and MMP9 levels were also higher than in the moderate stenosis group (106.28 vs. 94.54, p = 0.006; 243.88 vs. 229.38, p = 0.014), with both being independent risk factors (OR: 1.027, p = 0.012; OR: 1.017, p = 0.027). The AUC for predicting severe stenosis by NINJ1 and MMP9 were 0.652 and 0.646, respectively, and the combined AUC was 0.686. For the positive remodeling group, NINJ1 and MMP9 levels were significantly elevated (108.73 vs. 97.27, p = 0.007; 248.36 vs. 230.42, p = 0.002), and both were independent risk factors (OR: 1.026, p = 0.015; OR: 1.023, p = 0.004). The AUC for predicting positive remodeling by NINJ1 and MMP9 were 0.642 and 0.672, respectively, and the combined AUC was 0.722. NINJ1 and MMP9 can serve as independent predictors factors for intracranial atherosclerotic plaque enhancement, severe stenosis, and positive remodeling. NINJ1 and MMP9 have the potential to be serum biomarkers for the vulnerability of intracranial atherosclerotic plaques.
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