Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA.
Department of Mathematics, Statistics and Computer Science, University of Illinois Chicago, Chicago, Illinois, USA.
Alzheimers Dement. 2024 Aug;20(8):5617-5628. doi: 10.1002/alz.14073. Epub 2024 Jun 28.
This study investigated the potential of phosphorylated plasma Tau217 ratio (pTau217R) and plasma amyloid beta (Aβ) 42/Aβ40 in predicting brain amyloid levels measured by positron emission tomography (PET) Centiloid (CL) for Alzheimer's disease (AD) staging and screening.
Quantification of plasma pTau217R and Aβ42/Aβ40 employed immunoprecipitation-mass spectrometry. CL prediction models were developed on a cohort of 904 cognitively unimpaired, preclinical and early AD subjects and validated on two independent cohorts.
Models integrating pTau217R outperformed Aβ42/Aβ40 alone, predicting amyloid levels up to 89.1 CL. High area under the receiver operating characteristic curve (AUROC) values (89.3% to 94.7%) were observed across a broad CL range (15 to 90). Utilizing pTau217R-based models for low amyloid levels reduced PET scans by 70.5% to 78.6%.
pTau217R effectively predicts brain amyloid levels, surpassing cerebrospinal fluid Aβ42/Aβ40's range. Combining it with plasma Aβ42/Aβ40 enhances sensitivity for low amyloid detection, reducing unnecessary PET scans and expanding clinical utility.
NCT02956486 (MissionAD1), NCT03036280 (MissionAD2), NCT04468659 (AHEAD3-45), NCT03887455 (ClarityAD) HIGHLIGHTS: Phosphorylated plasma Tau217 ratio (pTau217R) effectively predicts amyloid-PET Centiloid (CL) across a broad spectrum. Integrating pTau217R with Aβ42/Aβ40 extends the CL prediction upper limit to 89.1 CL. Combined model predicts amyloid status with high accuracy, especially in cognitively unimpaired individuals. This model identifies subjects above or below various CL thresholds with high accuracy. pTau217R-based models significantly reduce PET scans by up to 78.6% for screening out individuals with no/low amyloid.
本研究旨在探讨磷酸化血浆 Tau217 比率(pTau217R)和血浆淀粉样蛋白β(Aβ)42/Aβ40 预测正电子发射断层扫描(PET)Centiloid(CL)测量的脑淀粉样水平的潜力,用于阿尔茨海默病(AD)分期和筛查。
采用免疫沉淀-质谱法定量检测血浆 pTau217R 和 Aβ42/Aβ40。在认知正常、临床前和早期 AD 的 904 名受试者队列中建立 CL 预测模型,并在两个独立的队列中进行验证。
整合 pTau217R 的模型优于单独的 Aβ42/Aβ40,预测淀粉样蛋白水平高达 89.1 CL。在广泛的 CL 范围内(15 至 90),观察到高接收者操作特征曲线(AUROC)值(89.3%至 94.7%)。利用基于 pTau217R 的模型进行低淀粉样蛋白水平检测可使 PET 扫描减少 70.5%至 78.6%。
pTau217R 可有效预测脑淀粉样蛋白水平,超过脑脊液 Aβ42/Aβ40 的范围。将其与血浆 Aβ42/Aβ40 结合使用可提高低淀粉样蛋白检测的敏感性,减少不必要的 PET 扫描并扩大临床应用。
NCT02956486(MissionAD1)、NCT03036280(MissionAD2)、NCT04468659(AHEAD3-45)、NCT03887455(ClarityAD)
磷酸化血浆 Tau217 比率(pTau217R)在广泛的范围内有效预测淀粉样蛋白-PET Centiloid(CL)。整合 pTau217R 与 Aβ42/Aβ40 将 CL 预测上限扩展至 89.1 CL。联合模型以高准确度预测淀粉样蛋白状态,尤其是在认知正常的个体中。该模型以高准确度识别出各种 CL 阈值以上或以下的个体。基于 pTau217R 的模型可显著减少高达 78.6%的 PET 扫描,用于筛查无/低淀粉样蛋白的个体。