Pengcheng Liang, Meng Li, Yiwen Chen, Zhenyu Cheng, Na Wang, Yuanyuan Wang, Nan Zhang, Yena Che, Jing Li, Changhu Liang, Lingfei Guo
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To explore the potential CP-associated pathways, we assessed the relationships between AD-related plasma biomarkers and CP volume via multiple linear regression analysis. The longitudinal associations between CP volume and WMH characteristics (WMH volume and susceptibility) were analyzed via linear mixed-effects models. Finally, we employed random forest analysis with the Boruta algorithm to identify key predictors of CSVD severity.</p><p><strong>Results: </strong>Plasma Aβ1‒40 levels were positively correlated with CP volume (β = 0.115, P = 0.009), whereas Aβ42‒40 ratio were negatively associated with CP volume (β = -0.135, P = 0.03). Notably, increased CP volume was associated with both greater WMH burden (β = 0.191, P = 0.011) and decreased WMH susceptibility (β = -0.192, P = 0.012). 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引用次数: 0
摘要
背景:脑白质高强度(WMH)是脑血管病(CSVD)的一个重要特征。脉络膜丛(CP)体积对疾病进展的影响在很大程度上仍未被探索。本研究通过WMH体积和敏感性值评估CP体积与CSVD严重程度的关系。此外,我们探讨了阿尔茨海默病(AD)相关的血浆蛋白是否影响cp的体积。方法和材料:我们的研究包括291名CSVD患者,84名参与者在平均随访20个月后完成了后续的脑MRI。为了探索潜在的CP相关途径,我们通过多元线性回归分析评估了ad相关血浆生物标志物与CP体积之间的关系。通过线性混合效应模型分析CP体积与WMH特性(WMH体积和敏感性)之间的纵向关联。最后,我们采用随机森林分析和Boruta算法来识别CSVD严重程度的关键预测因子。结果:血浆Aβ1-40与CP体积呈正相关(β = 0.115, P = 0.009), Aβ42-40与CP体积呈负相关(β = -0.135, P = 0.03)。值得注意的是,CP体积增加与WMH负荷增加(β = 0.191, P = 0.011)和WMH敏感性降低(β = -0.192, P = 0.012)相关。此外,随机森林模型确定CP体积和WMH易感性是CSVD严重程度的最强预测因子。结论:CSVD患者CP体积变化与WMH体积及WMH易感性均显著相关。这些发现表明,cp介导的途径可能将淀粉样蛋白代谢与CSVD进展联系起来。
Associations of choroid plexus volume with white matter hyperintensity volume and susceptibility and plasma amyloid markers in cerebral small vessel disease.
Background: White matter hyperintensity (WMH) is a key feature of cerebral small vessel disease (CSVD). The impact of the choroid plexus (CP) volume on disease progression remains largely unexplored. This study evaluated the relationship between CP volume and CSVD severity via WMH volume and susceptibility values. Additionally, we explored whether Alzheimer's disease (AD)-related plasma proteins influence the volume of the CP.
Methods and materials: Our study included 291 CSVD individuals, with 84 participants completing subsequent brain MRI at a mean follow-up of 20 months. To explore the potential CP-associated pathways, we assessed the relationships between AD-related plasma biomarkers and CP volume via multiple linear regression analysis. The longitudinal associations between CP volume and WMH characteristics (WMH volume and susceptibility) were analyzed via linear mixed-effects models. Finally, we employed random forest analysis with the Boruta algorithm to identify key predictors of CSVD severity.
Results: Plasma Aβ1‒40 levels were positively correlated with CP volume (β = 0.115, P = 0.009), whereas Aβ42‒40 ratio were negatively associated with CP volume (β = -0.135, P = 0.03). Notably, increased CP volume was associated with both greater WMH burden (β = 0.191, P = 0.011) and decreased WMH susceptibility (β = -0.192, P = 0.012). Furthermore, random forest modeling identified CP volume and WMH susceptibility as the strongest predictors of CSVD severity.
Conclusions: CP volume changes were significantly correlated with both WMH volume and WMH susceptibility in CSVD patients. These findings suggest that CP-mediated pathways may link amyloid metabolism to CSVD progression.
期刊介绍:
Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.