Kim Hye Jin, Park Dongsung, Yun Gyihyaon, Kim Hongrae, Kim Hyug-Gi, Lee Kyung Mi, Hong Il Ki, Park Key-Chung, Lee Jin San, Hwang Kyo Seon
Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.
Department of Medicine, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
Lab Chip. 2021 Nov 25;21(23):4557-4565. doi: 10.1039/d1lc00742d.
We aimed to analyze plasma amyloid-β (Aβ) and Aβ using a highly sensitive dielectrophoretic-driven biosensor platform to demonstrate the possibility of precise cerebral amyloid angiopathy (CAA) diagnosis in participants classified according to Aβ-positron emission tomography (PET) positivity and the neuroimaging criteria for CAA. We prospectively recruited 25 people with non-Alzheimer's disease (non-AD) and 19 patients with Alzheimer's disease (AD), which were further classified into the CAA- and CAA+ (possible and probable CAA) groups according to the modified Boston criteria. Patients underwent plasma Aβ analysis using a highly sensitive nano-biosensor platform, Aβ-PET scanning, and detailed neuropsychological testing. As a result, the average signal levels of Aβ differed significantly between the non-AD and AD groups, and the CAA+ group exhibited significantly higher Aβ signal levels than the CAA- group in both non-AD and AD groups. The concordance between the Aβ signal level and the neuroimaging criteria for CAA was nearly perfect, with areas under the curve of 0.954 (95% confidence interval (CI) 0.856-1.000), 0.969 (0.894-1.000), 0.867 (0.648-1.000), and 1.000 (1.000-1.000) in the non-AD/CAA- non-AD/possible CAA, non-AD/CAA- non-AD/probable CAA, AD/CAA- AD/possible CAA, and AD/CAA- AD/probable CAA groups, respectively. Higher Aβ signal levels were significantly associated with the presence of CAA according to regression analyses, and the neuroimaging pattern analysis partly supported this result. Our findings suggest that measuring plasma Aβ signal levels using a highly sensitive biosensor platform could be a useful non-invasive CAA diagnostic method.
我们旨在使用高灵敏度介电泳驱动的生物传感器平台分析血浆淀粉样β蛋白(Aβ),以证明在根据Aβ正电子发射断层扫描(PET)阳性和CAA神经影像学标准分类的参与者中进行精确脑淀粉样血管病(CAA)诊断的可能性。我们前瞻性招募了25名非阿尔茨海默病(非AD)患者和19名阿尔茨海默病(AD)患者,并根据改良的波士顿标准将其进一步分为CAA -和CAA +(可能和很可能CAA)组。患者使用高灵敏度纳米生物传感器平台进行血浆Aβ分析、Aβ - PET扫描和详细的神经心理学测试。结果,非AD组和AD组之间Aβ的平均信号水平存在显著差异,并且在非AD组和AD组中,CAA +组的Aβ信号水平均显著高于CAA -组。Aβ信号水平与CAA神经影像学标准之间的一致性近乎完美,在非AD/CAA -、非AD/可能CAA、非AD/CAA -、非AD/很可能CAA、AD/CAA -、AD/可能CAA以及AD/CAA -、AD/很可能CAA组中的曲线下面积分别为0.954(95%置信区间(CI)0.856 - 1.000)、0.969(0.894 - 1.000)、0.867(0.648 - 1.000)和1.000(1.000 - 1.000)。根据回归分析,较高的Aβ信号水平与CAA的存在显著相关,神经影像学模式分析部分支持了这一结果。我们的研究结果表明,使用高灵敏度生物传感器平台测量血浆Aβ信号水平可能是一种有用的非侵入性CAA诊断方法。