Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Clin Chem. 2013 Jun;59(6):903-16. doi: 10.1373/clinchem.2013.202937. Epub 2013 Mar 21.
Over the past 2 decades, clinical studies have provided evidence that cerebrospinal fluid (CSF) amyloid β(1-42) (Aβ(1-42)), total τ (t-τ), and τ phosphorylated at Thr181 (p-τ(181)) are reliable biochemical markers of Alzheimer disease (AD) neuropathology.
In this review, we summarize the clinical performance and describe the major challenges for the analytical performance of the most widely used immunoassay platforms [based on ELISA or microbead-based multianalyte profiling (xMAP) technology] for the measurement of CSF AD biomarkers (Aβ(1-42), t-τ, and p-τ(181)). With foundational immunoassay data providing the diagnostic and prognostic values of CSF AD biomarkers, the newly revised criteria for the diagnosis of AD include CSF AD biomarkers for use in research settings. In addition, it has been suggested that the selection of AD patients at the predementia stage by use of CSF AD biomarkers can improve the statistical power of clinical trial design. Owing to the lack of a replenishable and commutable human CSF-based standardized reference material (SRM) and significant differences across different immunoassay platforms, the diagnostic-prognostic cutpoints of CSF AD biomarker concentrations are not universal at this time. These challenges can be effectively met in the future, however, through collaborative ongoing standardization efforts to minimize the sources of analytical variability and to develop reference methods and SRMs.
Measurements of CSF Aβ(1-42), t-τ, and p-τ(181) with analytically qualified immunoassays reliably reflect the neuropathologic hallmarks of AD in patients at the early predementia stage of the disease and even in presymptomatic patients. Thus these CSF biomarker tests are useful for early diagnosis of AD, prediction of disease progression, and efficient design of drug intervention clinical trials.
在过去的 20 年中,临床研究已经提供了证据表明脑脊液(CSF)β淀粉样蛋白(1-42)(Aβ(1-42))、总 tau(t-tau)和 tau 磷酸化在 Thr181(p-tau(181))是阿尔茨海默病(AD)神经病理学的可靠生化标志物。
在这篇综述中,我们总结了临床性能,并描述了最广泛使用的免疫分析平台(基于 ELISA 或基于微球的多分析物分析(xMAP)技术)用于测量 CSF AD 生物标志物(Aβ(1-42)、t-tau 和 p-tau(181))的分析性能的主要挑战。由于基础免疫测定数据提供了 CSF AD 生物标志物的诊断和预后价值,AD 的新修订诊断标准包括 CSF AD 生物标志物在研究中的应用。此外,有人建议,通过使用 CSF AD 生物标志物选择处于痴呆前阶段的 AD 患者可以提高临床试验设计的统计功效。由于缺乏可补充和可替代的基于人 CSF 的标准化参考物质(SRM)以及不同免疫分析平台之间存在显著差异,因此 CSF AD 生物标志物浓度的诊断-预后切点目前并不普遍。然而,通过协作进行持续的标准化努力,以最小化分析变异性的来源并开发参考方法和 SRM,这些挑战可以在未来得到有效解决。
用经过分析验证的免疫测定法测量 CSF Aβ(1-42)、t-tau 和 p-tau(181),可靠地反映了疾病早期痴呆前阶段患者的 AD 神经病理学特征,甚至在无症状患者中也是如此。因此,这些 CSF 生物标志物测试可用于 AD 的早期诊断、疾病进展预测以及药物干预临床试验的有效设计。