淀粉样蛋白(真菌学)
胶质纤维酸性蛋白
β淀粉样蛋白
脑脊液
病理
神经丝
正电子发射断层摄影术
医学
计算机科学
血液检验
全血
BETA(编程语言)
淀粉样β
免疫分析
生物医学工程
阿尔茨海默病
算法
神经科学
神经影像学
免疫染色
可扩展性
血浆
计算生物学
作者
David H Wilson,Karen Copeland,Mike Miller,Ann Jeanette Vasko,Lyndal Hesterberg,Meenakshi Khare,Michele Wolfe,Patrick Sheehy,Inge Verberk,Charlotte Teunissen
摘要
Abstract INTRODUCTION To address an urgent need for a scalable, accurate blood test for brain amyloid pathology that provides a conclusive result for the greatest number of patients, we developed a multi‐analyte algorithmic test combining phosphorylated tau (p‐tau) 217 with four other biomarkers. METHODS Multiplexed digital immunoassays measured p‐tau 217, amyloid beta 42/40, glial fibrillary acidic protein, and neurofilament light chain in 730 symptomatic individuals (training set) to establish an algorithm with cutoffs, and 1082 symptomatic individuals (validation set) from three independent cohorts to identify brain amyloid pathology. RESULTS The algorithmic in validation gave an area under the curve = 0.92, yielding 90% agreement with amyloid positron emission tomography and cerebrospinal fluid. Positive predictive value was 92% at 55% prevalence. The multi‐marker algorithm reduced the intermediate zone ≈ 3‐fold from 34.4% to 11.9% versus p‐tau 217 alone. Diagnostic performance was similar across subgroups. DISCUSSION The LucentAD Complete multi‐analyte blood test demonstrated high clinical validity for brain amyloid pathology detection while substantially reducing inconclusive intermediate results. Highlights We developed a multi‐analyte blood test for assessing brain amyloid status that significantly minimizes the ambiguous “intermediate zone,” a key limitation of plasma phosphorylated tau (p‐tau) 217 alone. Our test combines plasma levels of p‐tau 217, amyloid beta 42/40 ratio, glial fibrillary acidic protein, and neurofilament light chain for a more comprehensive evaluation of amyloid status. We rigorously validated the test's clinical performance in > 1000 samples from symptomatic individuals across three independent cohorts, using cerebrospinal fluid biomarkers and amyloid positron emission tomography as comparators.
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