Yang Ying-Hao, Li Shan-Shan, Wang Yun-Chao, Yu Lu-Lu, Zhu Hang-Hang, Wu Jing-Hao, Yu Wen-Kai, An Lu, Yuan Wen-Xin, Ji Yan, Xu Yu-Ming, Gao Yuan, Li Yu-Sheng
Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Front Neurol. 2023 Jul 14;14:1177479. doi: 10.3389/fneur.2023.1177479. eCollection 2023.
Cerebral small vessel disease (CSVD) is common in the elderly population. Neutrophil gelatinase-associated lipocalin (NGAL) is closely related to cardiovascular and cerebrovascular diseases. NGAL causes pathological changes, such as damage to the vascular endothelium, by causing inflammation, which results in other related diseases. The purpose of this study was to investigate whether serum NGAL levels could predict disease severity in patients with CSVD.
The patients with CSVD who visited the Department of Neurology at the First Affiliated Hospital of Zhengzhou University between January 2018 and June 2022 were prospectively included. The total CSVD burden score was calculated using whole-brain magnetic resonance imaging (MRI), and the patients were divided into a mild group (total CSVD burden score < 2 points) and a severe group (total CSVD burden score ≥ 2 points). Age, sex, height, smoking and alcohol consumption history, medical history, and serological results of patients were collected to perform the univariate analysis. Multivariate logistic regression was used to analyze the risk factors that affect CSVD severity. The multiple linear regression method was used to analyze which individual CSVD markers (periventricular white matter hyperintensities, deep white matter hyperintensities, lacune, and cerebral microbleed) play a role in the association between total CSVD burden score and NGAL.
A total of 427 patients with CSVD (140 in the mild group and 287 in the severe group) were included in the study. A multivariate logistic regression analysis showed that the following factors were significantly associated with CSVD severity: male sex [odds ratio(OR), 1.912; 95% confidence interval (CI), 1.150-3.179], age (OR, 1.046; 95% CI, 1.022-1.070), history of cerebrovascular disease (OR, 3.050; 95% CI, 1.764-5.274), serum NGAL level (OR, 1.005; 95% CI, 1.002-1.008), and diabetes (OR, 2.593; 95% CI, 1.424-4.722). A multivariate linear regression shows that periventricular white matter hyperintensities and cerebral microbleed are associated with serum NGAL concentrations ( < 0.05).
Serum NGAL level is closely related to CSVD severity and is a risk factor for the burden of CSVD brain damage. Serum NGAL has high specificity in reflecting the severity of CSVD.
脑小血管病(CSVD)在老年人群中很常见。中性粒细胞明胶酶相关脂质运载蛋白(NGAL)与心脑血管疾病密切相关。NGAL通过引发炎症导致血管内皮损伤等病理变化,进而引发其他相关疾病。本研究旨在探讨血清NGAL水平能否预测CSVD患者的疾病严重程度。
前瞻性纳入2018年1月至2022年6月期间就诊于郑州大学第一附属医院神经内科的CSVD患者。采用全脑磁共振成像(MRI)计算CSVD总负担评分,并将患者分为轻度组(CSVD总负担评分<2分)和重度组(CSVD总负担评分≥2分)。收集患者的年龄、性别、身高、吸烟和饮酒史、病史及血清学结果进行单因素分析。采用多因素logistic回归分析影响CSVD严重程度的危险因素。采用多元线性回归方法分析哪些个体CSVD标志物(脑室周围白质高信号、深部白质高信号、腔隙和脑微出血)在CSVD总负担评分与NGAL的关联中起作用。
本研究共纳入427例CSVD患者(轻度组140例,重度组287例)。多因素logistic回归分析显示,以下因素与CSVD严重程度显著相关:男性[比值比(OR),1.912;95%置信区间(CI),1.150 - 3.179]、年龄(OR,1.046;95%CI,1.022 - 1.070)、脑血管疾病史(OR,3.050;95%CI,1.764 - 5.274)、血清NGAL水平(OR,1.005;95%CI,1.002 - 1.008)和糖尿病(OR,2.593;95%CI,1.424 - 4.722)。多元线性回归显示,脑室周围白质高信号和脑微出血与血清NGAL浓度相关(<0.05)。
血清NGAL水平与CSVD严重程度密切相关,是CSVD脑损伤负担的危险因素。血清NGAL在反映CSVD严重程度方面具有较高的特异性。