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威利斯讲座:宾斯旺格病炎症性白质损伤的生物标志物为精准医疗提供了途径。

Willis Lecture: Biomarkers for Inflammatory White Matter Injury in Binswanger Disease Provide Pathways to Precision Medicine.

机构信息

Center for Memory and Aging, Departments of Neurology, Neurosciences, Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque.

出版信息

Stroke. 2022 Nov;53(11):3514-3523. doi: 10.1161/STROKEAHA.122.039211. Epub 2022 Sep 23.

Abstract

Binswanger disease is the small vessel form of vascular cognitive impairment and dementia. Deposition of Alzheimer disease proteins can begin in midlife and progress slowly, whereas aging of the vasculature also can begin in midlife, continuing to progress into old age, making mixed dementia the most common type of dementia. Biomarkers facilitate the early diagnosis of dementias. It is possible to diagnose mixed dementia before autopsy with biomarkers for vascular disease derived from diffusor tensor images on magnetic resonance imaging and Alzheimer disease proteins, Aβ (amyloid β), and phosphorylated tau, in cerebrospinal fluid or in brain with positron emission tomography. The presence of vascular disease accelerates cognitive decline. Both misfolded proteins and vascular disease promote inflammation, which can be detected in cerebrospinal fluid by the presence of MMPs (matrix metalloproteinases), angiogenic growth factors, and cytokines. MMPs disrupt the blood-brain barrier and break down myelin, producing Binswanger disease's 2 main pathological features. Advances in detecting biomarkers in plasma will provide early detection of dementia and aided by machine learning and artificial intelligence, will enhance diagnosis and form the basis for early treatments.

摘要

Binswanger 病是小血管性血管性认知障碍和痴呆。阿尔茨海默病蛋白的沉积可以在中年开始并缓慢进展,而血管的老化也可以在中年开始,持续到老年,使混合性痴呆成为最常见的痴呆类型。生物标志物有助于痴呆症的早期诊断。通过磁共振成像上弥散张量图像和阿尔茨海默病蛋白、Aβ(淀粉样β)和磷酸化 tau 的生物标志物,有可能在尸检前诊断混合性痴呆,这些标志物可以在脑脊液或正电子发射断层扫描的大脑中检测到。血管疾病的存在加速了认知能力下降。错误折叠的蛋白质和血管疾病都促进炎症,这可以通过存在基质金属蛋白酶 (MMPs)、血管生成生长因子和细胞因子在脑脊液中检测到。MMPs 破坏血脑屏障并分解髓磷脂,产生 Binswanger 病的 2 个主要病理特征。在血浆中检测生物标志物的进展将提供痴呆症的早期检测,并且通过机器学习和人工智能的辅助,将增强诊断并为早期治疗奠定基础。

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