Dementia Research Centre, UCL Institute of Neurology, 8-11 Queen Square, London, WC1N 3BG, UK.
Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK.
Alzheimers Res Ther. 2018 Mar 20;10(1):32. doi: 10.1186/s13195-018-0361-3.
Cerebrospinal fluid (CSF) biomarkers are increasingly being used to support a diagnosis of Alzheimer's disease (AD). Their clinical utility for differentiating AD from non-AD neurodegenerative dementias, such as dementia with Lewy bodies (DLB) or frontotemporal dementia (FTD), is less well established. We aimed to determine the diagnostic utility of an extended panel of CSF biomarkers to differentiate AD from a range of other neurodegenerative dementias.
We used immunoassays to measure conventional CSF markers of amyloid and tau pathology (amyloid beta (Aβ)1-42, total tau (T-tau), and phosphorylated tau (P-tau)) as well as amyloid processing (AβX-38, AβX-40, AβX-42, soluble amyloid precursor protein (sAPP)α, and sAPPβ), large fibre axonal degeneration (neurofilament light chain (NFL)), and neuroinflammation (YKL-40) in 245 patients with a variety of dementias and 30 controls. Patients fulfilled consensus criteria for AD (n = 156), DLB (n = 20), behavioural variant frontotemporal dementia (bvFTD; n = 45), progressive non-fluent aphasia (PNFA; n = 17), and semantic dementia (SD; n = 7); approximately 10% were pathology/genetically confirmed (n = 26). Global tests based on generalised least squares regression were used to determine differences between groups. Non-parametric receiver operating characteristic (ROC) curves and area under the curve (AUC) analyses were used to quantify how well each biomarker discriminated AD from each of the other diagnostic groups (or combinations of groups). CSF cut-points for the major biomarkers found to have diagnostic utility were validated using an independent cohort which included causes of AD (n = 104), DLB (n = 5), bvFTD (n = 12), PNFA (n = 3), SD (n = 9), and controls (n = 10).
There were significant global differences in Aβ1-42, T-tau, T-tau/Aβ1-42 ratio, P-tau-181, NFL, AβX-42, AβX-42/X-40 ratio, APPα, and APPβ between groups. At a fixed sensitivity of 85%, AβX-42/X-40 could differentiate AD from controls, bvFTD, and SD with specificities of 93%, 85%, and 100%, respectively; for T-tau/Aβ1-42 these specificities were 83%, 70%, and 86%. AβX-42/X-40 had similar or higher specificity than Aβ1-42. No biomarker or ratio could differentiate AD from DLB or PNFA with specificity > 50%. Similar sensitivities and specificities were found in the independent validation cohort for differentiating AD and other dementias and in a pathology/genetically confirmed sub-cohort.
CSF AβX-42/X-40 and T-tau/Aβ1-42 ratios have utility in distinguishing AD from controls, bvFTD, and SD. None of the biomarkers tested had good specificity at distinguishing AD from DLB or PNFA.
越来越多的脑脊液(CSF)生物标志物被用于支持阿尔茨海默病(AD)的诊断。它们在区分 AD 与其他神经退行性痴呆,如路易体痴呆(DLB)或额颞叶痴呆(FTD)方面的临床效用尚未得到充分证实。我们旨在确定扩展的 CSF 生物标志物面板在区分 AD 与其他各种神经退行性痴呆方面的诊断效用。
我们使用免疫测定法来测量常规的 CSF 淀粉样蛋白和 tau 病理标志物(β淀粉样蛋白 1-42(Aβ1-42)、总 tau(T-tau)和磷酸化 tau(P-tau)),以及淀粉样蛋白处理物(AβX-38、AβX-40、AβX-42、可溶性淀粉样前体蛋白(sAPP)α和 sAPPβ)、大纤维轴突退变(神经丝轻链(NFL))和神经炎症(YKL-40),纳入了 245 名患有各种痴呆症和 30 名对照者。患者符合 AD(n=156)、DLB(n=20)、行为变异额颞叶痴呆(bvFTD;n=45)、进行性非流利性失语症(PNFA;n=17)和语义性痴呆(SD;n=7)的共识标准;大约 10%为病理学/基因确认(n=26)。使用广义最小二乘回归的全局检验来确定组间差异。使用非参数接收器操作特征(ROC)曲线和曲线下面积(AUC)分析来量化每个生物标志物在区分 AD 与其他每个诊断组(或组组合)方面的区分能力。使用包括 AD 病因(n=104)、DLB(n=5)、bvFTD(n=12)、PNFA(n=3)、SD(n=9)和对照(n=10)的独立队列来验证具有诊断效用的主要生物标志物的 CSF 切点。
Aβ1-42、T-tau、T-tau/Aβ1-42 比值、P-tau-181、NFL、AβX-42、AβX-42/AβX-40 比值、APPα 和 APPβ 等标志物在各组之间存在显著的全局差异。在固定敏感性为 85%的情况下,AβX-42/AβX-40 可以将 AD 与对照组、bvFTD 和 SD 区分开来,特异性分别为 93%、85%和 100%;对于 T-tau/Aβ1-42,这些特异性分别为 83%、70%和 86%。AβX-42/AβX-40 的特异性与 Aβ1-42 相似或更高。没有任何生物标志物或比值可以将 AD 与 DLB 或 PNFA 区分开来,特异性>50%。在独立验证队列中,用于区分 AD 和其他痴呆症以及病理学/基因确认子队列中,均发现了类似的敏感性和特异性。
CSF AβX-42/AβX-40 和 T-tau/Aβ1-42 比值在区分 AD 与对照组、bvFTD 和 SD 方面具有一定的作用。没有一个测试的生物标志物在区分 AD 与 DLB 或 PNFA 方面具有良好的特异性。