Quantitative assessments of white matter hyperintensities and plasma biomarkers can predict cognitive impairment and cerebral microbleeds in cerebral small vessel disease patients

IF 2.9 3区医学 Q2 NEUROSCIENCES

Neuroscience Pub Date : 2024-11-08 DOI:10.1016/j.neuroscience.2024.11.014

Zhuo Fang , Xiaohan Chen , Yike Zhao , Xinrui Zhou , Xiao Cai , Jiale Deng , Wenbin Cheng , Wenjing Sun , Jianhua Zhuang , You Yin

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引用次数: 0

Abstract

The objective of this study is to examine the efficacy of magnetic resonance imaging (MRI) features and peripheral blood biomarkers in assessing cognitive function in patients with cerebral small vessel disease (CSVD). A total of 58 CSVD patients were recruited. Six features of white matter hyperintensities (WMHs) were derived from MRI scans. Additionally, five neurodegenerative biomarkers (Aβ40, Aβ42, t-tau, p-tau181, NfL) and 13 serum inflammatory cytokines (VILIP-1, CCL2, IL-6, IL-18, TNF-α, CX3CL, sTREM-1/2, VEGF, s-RAGE, BNDF, TGF-β1, β-NGF) were quantified. Cognitive assessments were conducted using standardized neuropsychological scales. Spearman analysis revealed that the volumetric characteristics (absolute area, upper area, bottom area, absolute area percentage, upper percentage, and bottom percentage) of WMHs were negatively correlated with performance on all cognitive scale measures except the verbal fluency test (VFT) (r < -0.3, p > 0.05), while they were positively correlated with plasma neurofilament light (NFL) levels (r > 0.4, p < 0.05). Additionally, serum tumor necrosis factor-α (TNF-α) and soluble receptor for advanced glycation end-products (s-RAGE) showed significant correlations with scales of speech function. An integrated model incorporating WMHs features, neurodegenerative biomarkers, and neuroinflammatory markers was developed, demonstrating high predictive accuracy for cognitive impairment with an area under the curve (AUC) of 0.95 (accuracy 0.88, sensitivity 0.87, specificity 0.89). Another integrated model that includes features of WMHs and inflammatory cytokines for predicting cerebral microbleeds (CMBs) achieved an AUC of 0.95 (accuracy 0.88, sensitivity 0.82, specificity 0.92). Our findings suggest that these markers have the potential to be used for the early detection of cognitive decline and CMBs in patients with CSVD.

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白质高密度和血浆生物标志物的定量评估可预测脑小血管疾病患者的认知障碍和脑微小出血。

本研究旨在探讨磁共振成像（MRI）特征和外周血生物标志物在评估脑小血管疾病（CSVD）患者认知功能方面的功效。共招募了 58 名 CSVD 患者。从核磁共振扫描中得出了六种白质高密度（WMH）特征。此外，还量化了五种神经退行性生物标记物（Aβ40、Aβ42、t-tau、p-tau181、NfL）和 13 种血清炎性细胞因子（VILIP-1、CCL2、IL-6、IL-18、TNF-α、CX3CL、sTREM-1/2、VEGF、s-RAGE、BNDF、TGF-β1、β-NGF）。认知评估采用标准化的神经心理学量表进行。斯皮尔曼分析表明，WMHs的体积特征（绝对面积、上部面积、底部面积、绝对面积百分比、上部百分比和底部百分比）与除语言流畅性测试（VFT）外的所有认知量表测试成绩呈负相关（r 0.05），而与血浆神经丝光（NFL）水平呈正相关（r > 0.4，p > 0.05）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neuroscience 医学-神经科学

CiteScore

6.20

自引率

0.00%

发文量

394

审稿时长

52 days

期刊介绍： Neuroscience publishes papers describing the results of original research on any aspect of the scientific study of the nervous system. Any paper, however short, will be considered for publication provided that it reports significant, new and carefully confirmed findings with full experimental details.