nin1和MMP9:颅内动脉粥样硬化斑块易损性的潜在生物标志物

IF 2.7 3区 医学 Q2 CLINICAL NEUROLOGY
Frontiers in Neurology Pub Date : 2025-04-28 eCollection Date: 2025-01-01 DOI:10.3389/fneur.2025.1552948
Xiao-Lian Wei, Xin Da, Yu-Ge Zhang, Zi-Ang Li, Bing-Jie Liu, Rui-Fang Yan, Hua Zhong, Bin Yuan
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引用次数: 0

摘要

背景与目的:利用高分辨率血管壁成像(HR-VWI)识别颅内动脉粥样硬化性狭窄(ICAS)血管中罪魁祸首斑块的特征,评价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的预测价值。方法:本研究纳入了行高分辨率血管壁成像(HR-VWI)的症状性颅内动脉粥样硬化性狭窄(sICAS)患者和健康个体。患者分为非强化/强化组、中度/重度狭窄组和阳性/阴性重塑组。采用多变量logistic回归和受试者工作特征(ROC)曲线分析来评估NINJ1和MMP9对斑块增强、严重狭窄和阳性重构的预测价值。结果:斑块增强组的NINJ1和MMP9水平高于非增强组(107.04 vs 93.49, p = 0.001;245.35 vs. 227.16, p = 0.002)和斑块增强的独立危险因素(OR: 1.036, p = 0.003;OR: 1.022, p = 0.008)。nin1和MMP9预测斑块增强的曲线下面积(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比94.54,p = 0.006;243.88比229.38,p = 0.014),两者都是独立的危险因素(OR: 1.027, p = 0.012;OR: 1.017, p = 0.027)。nin1和MMP9预测严重狭窄的AUC分别为0.652和0.646,联合AUC为0.686。阳性重构组nind1和MMP9水平显著升高(108.73 vs 97.27, p = 0.007;248.36 vs. 230.42, p = 0.002),两者均为独立危险因素(OR: 1.026, p = 0.015;OR: 1.023, p = 0.004)。nin1和MMP9预测阳性重构的AUC分别为0.642和0.672,联合AUC为0.722。结论:nind1和MMP9可作为颅内动脉粥样硬化斑块增强、严重狭窄和阳性重构的独立预测因子。ninb1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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NINJ1 and MMP9: potential biomarkers for intracranial atherosclerosis plaque vulnerability.

Background and objective: 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.

Methods: 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.

Results: 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.

Conclusion: 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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来源期刊
Frontiers in Neurology
Frontiers in Neurology CLINICAL NEUROLOGYNEUROSCIENCES -NEUROSCIENCES
CiteScore
4.90
自引率
8.80%
发文量
2792
审稿时长
14 weeks
期刊介绍: The section Stroke aims to quickly and accurately publish important experimental, translational and clinical studies, and reviews that contribute to the knowledge of stroke, its causes, manifestations, diagnosis, and management.
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