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宾斯旺格病:血管性认知障碍和痴呆炎症形式的生物标志物。

Binswanger's disease: biomarkers in the inflammatory form of vascular cognitive impairment and dementia.

机构信息

Professor of Neurology, Neurosciences, and Cell Biology, UNM Memory and Aging Center, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.

出版信息

J Neurochem. 2018 Mar;144(5):634-643. doi: 10.1111/jnc.14218. Epub 2017 Nov 6.

Abstract

Vascular cognitive impairment and dementia (VCID) is a major public health concern because of the increased incidence of vascular disease in the aging population and the impact of vascular disease on Alzheimer's disease. VCID is a heterogeneous group of diseases for which there are no proven treatments. Biomarkers can be used to select more homogeneous populations. Small vessel disease is the most prevalent form of VCID and is the optimal form for treatment trials because there is a progressive course with characteristic pathological changes. Subcortical ischemic vascular disease of the Binswanger type (SIVD-BD) has a characteristic set of features that can be used both to identify patients and to follow treatment. SIVD-BD patients have clinical, neuropsychological, cerebrospinal fluid (CSF) and imaging features that can be used as biomarkers. No one feature is diagnostic, but a multimodal approach defines the SIVD-BD spectrum disorder. The most important features are large white matter lesions with axonal damage, blood-brain barrier disruption as shown by magnetic resonance imaging and CSF, and neuropsychological evidence of executive dysfunction. We have used these features to create a Binswanger Disease Scale and a probability of SIVD-BD, using a machine-learning algorithm. The patients discussed in this review are derived from published studies. Biomarkers not only aid in early diagnosis before the disease process has progressed too far for treatment, but also can indicate response to treatment. Refining the use of biomarkers will allow dementia treatment to enter the era of precision medicine. This article is part of the Special Issue "Vascular Dementia".

摘要

血管性认知障碍和痴呆(VCID)是一个主要的公共卫生关注点,因为在老龄化人口中血管疾病的发病率增加,以及血管疾病对阿尔茨海默病的影响。VCID 是一组异质性疾病,目前尚无有效的治疗方法。生物标志物可用于选择更同质的人群。小血管疾病是 VCID 最常见的形式,也是治疗试验的最佳形式,因为它具有进行性的过程和特征性的病理变化。Binswanger 型皮质下缺血性血管病(SIVD-BD)具有一组特征性的特征,既可以用于识别患者,也可以用于随访治疗。SIVD-BD 患者具有临床、神经心理学、脑脊液(CSF)和影像学特征,可以作为生物标志物。没有一个特征是诊断性的,但多模式方法可以定义 SIVD-BD 谱障碍。最重要的特征是伴有轴突损伤的大白质病变、磁共振成像和 CSF 显示的血脑屏障破坏以及执行功能障碍的神经心理学证据。我们使用这些特征创建了 Binswanger 疾病量表和 SIVD-BD 的可能性,使用了机器学习算法。本综述中讨论的患者来自已发表的研究。生物标志物不仅有助于在疾病过程进展到无法治疗之前进行早期诊断,而且还可以指示治疗反应。对生物标志物的使用进行精细化将使痴呆治疗进入精准医学时代。本文是“血管性痴呆”特刊的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b7/5849485/07022dd62d8c/nihms905892f1.jpg

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