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高精度血浆β-淀粉样蛋白 42/40 可预测当前和未来的脑淀粉样变。

High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis.

机构信息

From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO.

出版信息

Neurology. 2019 Oct 22;93(17):e1647-e1659. doi: 10.1212/WNL.0000000000008081. Epub 2019 Aug 1.


DOI:10.1212/WNL.0000000000008081
PMID:31371569
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6946467/
Abstract

OBJECTIVE: We examined whether plasma β-amyloid (Aβ)42/Aβ40, as measured by a high-precision assay, accurately diagnosed brain amyloidosis using amyloid PET or CSF p-tau181/Aβ42 as reference standards. METHODS: Using an immunoprecipitation and liquid chromatography-mass spectrometry assay, we measured Aβ42/Aβ40 in plasma and CSF samples from 158 mostly cognitively normal individuals that were collected within 18 months of an amyloid PET scan. RESULTS: Plasma Aβ42/Aβ40 had a high correspondence with amyloid PET status (receiver operating characteristic area under the curve [AUC] 0.88, 95% confidence interval [CI] 0.82-0.93) and CSF p-tau181/Aβ42 (AUC 0.85, 95% CI 0.79-0.92). The combination of plasma Aβ42/Aβ40, age, and ε4 status had a very high correspondence with amyloid PET (AUC 0.94, 95% CI 0.90-0.97). Individuals with a negative amyloid PET scan at baseline and a positive plasma Aβ42/Aβ40 (<0.1218) had a 15-fold greater risk of conversion to amyloid PET-positive compared to individuals with a negative plasma Aβ42/Aβ40 ( = 0.01). CONCLUSIONS: Plasma Aβ42/Aβ40, especially when combined with age and ε4 status, accurately diagnoses brain amyloidosis and can be used to screen cognitively normal individuals for brain amyloidosis. Individuals with a negative amyloid PET scan and positive plasma Aβ42/Aβ40 are at increased risk for converting to amyloid PET-positive. Plasma Aβ42/Aβ40 could be used in prevention trials to screen for individuals likely to be amyloid PET-positive and at risk for Alzheimer disease dementia. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that plasma Aβ42/Aβ40 levels accurately determine amyloid PET status in cognitively normal research participants.

摘要

目的:我们通过高精准度的检测方法来检测血浆β-淀粉样蛋白(Aβ)42/Aβ40,以评估其是否能准确诊断脑淀粉样变,同时将正电子发射断层扫描(PET)淀粉样蛋白和脑脊液磷酸化tau181/Aβ42 作为参考标准。

方法:通过免疫沉淀和液相色谱-质谱联用法,我们测量了 158 名认知功能正常的个体在 PET 扫描后 18 个月内采集的血浆和脑脊液样本中的 Aβ42/Aβ40。

结果:血浆 Aβ42/Aβ40 与 PET 淀粉样变结果具有高度一致性(受试者工作特征曲线下面积[AUC]0.88,95%置信区间[CI]0.82-0.93),与脑脊液 p-tau181/Aβ42 也具有高度一致性(AUC 0.85,95%CI 0.79-0.92)。将血浆 Aβ42/Aβ40 与年龄和 ε4 状态相结合,对 PET 淀粉样变的诊断具有极高的一致性(AUC 0.94,95%CI 0.90-0.97)。基线 PET 阴性且血浆 Aβ42/Aβ40 阳性(<0.1218)的个体比血浆 Aβ42/Aβ40 阴性的个体发生 PET 阳性转化的风险高 15 倍(=0.01)。

结论:血浆 Aβ42/Aβ40 可准确诊断脑淀粉样变,尤其是结合年龄和 ε4 状态时,可用于对认知功能正常的个体进行脑淀粉样变筛查。PET 阴性且血浆 Aβ42/Aβ40 阳性的个体发生 PET 阳性转化的风险增加。在预防试验中,可使用血浆 Aβ42/Aβ40 筛查可能发生 PET 阳性且易患阿尔茨海默病痴呆的个体。

证据分类:本研究提供了 II 级证据,证明血浆 Aβ42/Aβ40 水平可准确确定认知功能正常的研究参与者的 PET 淀粉样变状态。

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High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis.

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本文引用的文献

[1]
Aging and are determinative factors of plasma A42 levels.

Ann Clin Transl Neurol. 2018-9-7

[2]
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Ann Neurol. 2018-10-4

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Neuroimage Clin. 2018-4-25

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Alzheimers Dement. 2018-3-2

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CSF biomarkers of Alzheimer's disease concord with amyloid-β PET and predict clinical progression: A study of fully automated immunoassays in BioFINDER and ADNI cohorts.

Alzheimers Dement. 2018-3-1

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High performance plasma amyloid-β biomarkers for Alzheimer's disease.

Nature. 2018-1-31

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N Engl J Med. 2018-1-25

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AV-1451 PET imaging of tau pathology in preclinical Alzheimer disease: Defining a summary measure.

Neuroimage. 2017-7-26

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Amyloid β concentrations and stable isotope labeling kinetics of human plasma specific to central nervous system amyloidosis.

Alzheimers Dement. 2017-8

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Strategic roadmap for an early diagnosis of Alzheimer's disease based on biomarkers.

Lancet Neurol. 2017-7-11

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