Blood-based protein biomarkers for diagnosis of Alzheimer disease.

James D Doecke, Simon M Laws, Noel G Faux, William Wilson, Samantha C Burnham, Chiou-Peng Lam, Alinda Mondal, Justin Bedo, Ashley I Bush, Belinda Brown, Karl De Ruyck, Kathryn A Ellis, Christopher Fowler, Veer B Gupta, Richard Head, S Lance Macaulay, Kelly Pertile, Christopher C Rowe, Alan Rembach, Mark Rodrigues, Rebecca Rumble, Cassandra Szoeke, Kevin Taddei, Tania Taddei, Brett Trounson, David Ames, Colin L Masters, Ralph N Martins
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引用次数: 362

Abstract

Objective: To identify plasma biomarkers for the diagnosis of Alzheimer disease (AD).

Design: Baseline plasma screening of 151 multiplexed analytes combined with targeted biomarker and clinical pathology data.

Setting: General community-based, prospective, longitudinal study of aging.

Participants: A total of 754 healthy individuals serving as controls and 207 participants with AD from the Australian Imaging Biomarker and Lifestyle study (AIBL) cohort with identified biomarkers that were validated in 58 healthy controls and 112 individuals with AD from the Alzheimer Disease Neuroimaging Initiative (ADNI) cohort.

Results: A biomarker panel was identified that included markers significantly increased (cortisol, pancreatic polypeptide, insulinlike growth factor binding protein 2, β(2) microglobulin, vascular cell adhesion molecule 1, carcinoembryonic antigen, matrix metalloprotein 2, CD40, macrophage inflammatory protein 1α, superoxide dismutase, and homocysteine) and decreased (apolipoprotein E, epidermal growth factor receptor, hemoglobin, calcium, zinc, interleukin 17, and albumin) in AD. Cross-validated accuracy measures from the AIBL cohort reached a mean (SD) of 85% (3.0%) for sensitivity and specificity and 93% (3.0) for the area under the receiver operating characteristic curve. A second validation using the ADNI cohort attained accuracy measures of 80% (3.0%) for sensitivity and specificity and 85% (3.0) for area under the receiver operating characteristic curve.

Conclusions: This study identified a panel of plasma biomarkers that distinguish individuals with AD from cognitively healthy control subjects with high sensitivity and specificity. Cross-validation within the AIBL cohort and further validation within the ADNI cohort provides strong evidence that the identified biomarkers are important for AD diagnosis.

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用于阿尔茨海默病诊断的血液蛋白生物标志物。
目的:确定用于诊断阿尔茨海默病(AD)的血浆生物标志物。设计:结合靶向生物标志物和临床病理学数据,对151种多重分析物进行基线血浆筛查。背景:基于社区的、前瞻性的、纵向的老龄化研究。参与者:共有754名健康个体作为对照,207名AD参与者来自澳大利亚成像生物标志物和生活方式研究(AIBL)队列,已确定的生物标志物在58名健康对照和112名阿尔茨海默病神经成像倡议(ADNI)队列的AD个体中得到验证。结果:确定了一个生物标志物组,包括显著增加的标志物(皮质醇、胰腺多肽、胰岛素样生长因子结合蛋白2、β(2)微球蛋白、血管细胞粘附分子1、癌胚抗原、基质金属蛋白2、CD40、巨噬细胞炎性蛋白1α、超氧化物歧化酶,和同型半胱氨酸)降低(载脂蛋白E、表皮生长因子受体、血红蛋白、钙、锌、白细胞介素17和白蛋白)。来自AIBL队列的交叉验证准确性测量的敏感性和特异性平均值(SD)达到85%(3.0%),受试者工作特征曲线下面积平均值达到93%(3.0)。使用ADNI队列的第二次验证获得了灵敏度和特异性的80%(3.0%)和受试者操作特征曲线下面积的85%(3.0)的准确度。结论:本研究确定了一组血浆生物标志物,以高灵敏度和特异性区分AD患者和认知健康的对照受试者。AIBL队列中的交叉验证和ADNI队列中的进一步验证提供了强有力的证据,证明所识别的生物标志物对AD诊断很重要。
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Archives of neurology
Archives of neurology 医学-临床神经学
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