Baldacci Filippo, Lista Simone, O'Bryant Sid E, Ceravolo Roberto, Toschi Nicola, Hampel Harald
AXA Research Fund & UPMC Chair, F-75013, Paris, France.
Sorbonne Université, AP-HP, GRC n° 21, Alzheimer Precision Medicine (APM), Hôpital de la Pitié-Salpêtrière, Boulevard de l'hôpital, F-75013, Paris, France.
Methods Mol Biol. 2018;1750:139-155. doi: 10.1007/978-1-4939-7704-8_9.
The discovery, development, and validation of novel candidate biomarkers in Alzheimer's disease (AD) and other neurodegenerative diseases (NDs) are increasingly gaining momentum. As a result, evolving diagnostic research criteria of NDs are beginning to integrate biofluid and neuroimaging indicators of pathophysiological mechanisms. More than 10% of people aged over 65 suffer from NDs. There is an urgent need for a refined two-stage diagnostic model to first initiate an early, sensitive, and noninvasive process in primary care settings. Individuals that meet detection criteria will then be channeled to more specific, costly (positron-emission tomography), and invasive (cerebrospinal fluid) assessment methods for confirmatory biological characterization and diagnosis.A reliable and sensitive blood test for AD and other NDs is not yet established; however, it would provide the golden screening gate for an efficient primary care management. A limitation to the development of a large-scale blood-screening biomarker-based test is the traditional application of clinically descriptive criteria for the categorization of single late-stage ND constructs. These are genetically and biologically heterogeneous, reflected in multiple pathophysiological mechanisms and subsequent pathologies throughout a dimensional continuum. Evidence suggests that a shared, "open-source" integrated multilevel categorization of NDs that clusters individuals based on descriptive clinical phenotypes and pathophysiological biomarker signatures will provide the next incremental step toward an improved diagnostic process of NDs. This intermediate objective toward unbiased biomarker-guided early detection of individuals at risk for NDs is currently carried out by the international pilot Alzheimer Precision Medicine Initiative Cohort Program (APMI-CP).
在阿尔茨海默病(AD)和其他神经退行性疾病(NDs)中,新型候选生物标志物的发现、开发和验证正日益受到关注。因此,不断发展的神经退行性疾病诊断研究标准开始纳入生物流体和病理生理机制的神经影像学指标。超过10%的65岁以上人群患有神经退行性疾病。迫切需要一种完善的两阶段诊断模型,以便在初级保健环境中首先启动早期、敏感且无创的检测过程。符合检测标准的个体随后将被转至更具特异性、成本更高(正电子发射断层扫描)且侵入性更强(脑脊液)的评估方法,以进行确证性生物学特征分析和诊断。目前尚未建立针对AD和其他神经退行性疾病的可靠且灵敏的血液检测方法;然而,它将为高效的初级保健管理提供黄金筛查关卡。基于血液筛查生物标志物的大规模检测方法发展的一个限制是,传统上对单一晚期神经退行性疾病构建体进行分类时采用的临床描述性标准。这些疾病在遗传和生物学上具有异质性,反映在整个维度连续体中的多种病理生理机制和后续病变中。有证据表明,一种基于描述性临床表型和病理生理学生物标志物特征对个体进行聚类的共享、“开源”的神经退行性疾病综合多层次分类,将为改善神经退行性疾病的诊断过程迈出下一步。国际阿尔茨海默精准医学倡议队列项目(APMI-CP)目前正在朝着这个无偏倚生物标志物引导的早期检测神经退行性疾病高危个体的中间目标努力。