Wei Xiao-Lian, Da Xin, Zhang Yu-Ge, Li Zi-Ang, Liu Bing-Jie, Yan Rui-Fang, Zhong Hua, Yuan Bin
Department of Neurology II, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Henan Key Laboratory of Neural Regeneration, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Front Neurol. 2025 Apr 28;16:1552948. doi: 10.3389/fneur.2025.1552948. eCollection 2025.
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, = 0.001; 245.35 vs. 227.16, = 0.002) and were independent risk factors for plaque enhancement (OR: 1.036, = 0.003; OR: 1.022, = 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, = 0.006; 243.88 vs. 229.38, = 0.014), with both being independent risk factors (OR: 1.027, = 0.012; OR: 1.017, = 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, = 0.007; 248.36 vs. 230.42, = 0.002), and both were independent risk factors (OR: 1.026, = 0.015; OR: 1.023, = 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.
利用高分辨率血管壁成像(HR-VWI)识别颅内动脉粥样硬化狭窄(ICAS)血管中罪犯斑块的特征,并评估血清神经损伤诱导蛋白1(NINJ1)和基质金属蛋白酶9(MMP9)对颅内动脉粥样硬化斑块易损性的预测价值。
本研究纳入了接受高分辨率血管壁成像(HR-VWI)的症状性颅内动脉粥样硬化狭窄(sICAS)患者和健康个体。患者被分为无强化/强化、中度/重度狭窄以及正向/负向重塑组。采用多因素逻辑回归和受试者工作特征(ROC)曲线分析来评估NINJ1和MMP9对斑块强化、重度狭窄和正向重塑的预测价值。
与无强化组相比,斑块强化组的NINJ1和MMP9水平更高(107.04对93.49,P = 0.001;245.35对227.16,P = 0.002),且是斑块强化的独立危险因素(OR:1.036,P = 0.003;OR:1.022,P = 0.008)。NINJ1和MMP9预测斑块强化的曲线下面积(AUC)分别为0.676和0.667,联合AUC为0.740。在重度狭窄组中,NINJ1和MMP9水平也高于中度狭窄组(106.28对94.54,P = 0.006;243.88对229.38,P = 0.014),两者均为独立危险因素(OR:1.027,P = 0.012;OR:1.017,P = 0.027)。NINJ1和MMP9预测重度狭窄的AUC分别为0.652和0.646,联合AUC为0.686。对于正向重塑组,NINJ1和MMP9水平显著升高(108.73对97.27,P = 0.007;248.36对230.42,P = 0.002),且均为独立危险因素(OR:1.026,P = 0.015;OR:1.023,P = 0.004)。NINJ1和MMP9预测正向重塑的AUC分别为0.642和0.672,联合AUC为0.722。
NINJ1和MMP9可作为颅内动脉粥样硬化斑块强化、重度狭窄和正向重塑的独立预测因素。NINJ1和MMP9有可能成为颅内动脉粥样硬化斑块易损性的血清生物标志物。