Forloni Gianluigi
Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri, Milano, Lombardia, Italy.
BMJ Neurol Open. 2020 Nov 12;2(2):e000079. doi: 10.1136/bmjno-2020-000079. eCollection 2020.
Alzheimer's disease (AD) is the most common form of dementia in the elderly. Together with cerebral amyloid accumulation, several factors contribute to AD pathology including vascular alterations, systemic inflammation, genetic/epigenetic status and mitochondrial dysfunction. Much is now being devoted to neuroinflammation. However, anti-inflammatory drugs as numerous other therapies, mainly targeted on β-amyloid, have failed to show efficacious effects in AD. Timing, proper selection of patients, and the need for a multitarget approach appear to be the main weak points of current therapeutic efforts. The efficacy of a treatment could be better evaluate if efficient biomarkers are available. We propose here the application of precision medicine principles in AD to simultaneously verify the efficacy of a treatment and the reliability of specific biomarkers according to individually tailored biomarker-guided targeted therapies. People at risk of developing AD or in the very early phase of the disease should be stratified according to: (1) neuropsychological tests; (2) apolipoprotein E (ApoE) genotyping; (3) biochemical analysis of plasma and cerebrospinal fluid (CSF); (4) MRI and positron emission tomography and (5) assessment of their inflammatory profile by an integration of various genetic and biochemical parameters in plasma, CSF and an analysis of microbiota composition. The selected population should be treated with antiamyloidogenic and anti-inflammatory drugs in randomised, longitudinal, placebo-controlled studies using ad hoc profiles (eg, vascular profile, mitochondrial profile, etc…) If these criteria are adopted widely and the results shared, it may be possible to rapidly develop innovative and personalised drug treatment protocols with more realistic chances of being efficacious.
阿尔茨海默病(AD)是老年人中最常见的痴呆形式。除脑淀粉样蛋白积累外,包括血管改变、全身炎症、遗传/表观遗传状态和线粒体功能障碍在内的多种因素都对AD病理有影响。目前很多研究都集中在神经炎症方面。然而,与许多其他主要针对β-淀粉样蛋白的疗法一样,抗炎药物在AD治疗中并未显示出有效效果。时机、患者的正确选择以及多靶点治疗方法的需求似乎是当前治疗努力的主要薄弱环节。如果有有效的生物标志物,治疗效果可能会得到更好的评估。我们在此提议将精准医学原则应用于AD,根据个体化定制的生物标志物导向的靶向治疗,同时验证治疗的有效性和特定生物标志物的可靠性。有患AD风险或处于疾病早期阶段的人群应根据以下因素进行分层:(1)神经心理测试;(2)载脂蛋白E(ApoE)基因分型;(3)血浆和脑脊液(CSF)的生化分析;(4)磁共振成像(MRI)和正电子发射断层扫描;(5)通过整合血浆、脑脊液中的各种遗传和生化参数以及微生物群组成分析来评估其炎症特征。在使用特定特征(如血管特征、线粒体特征等)的随机、纵向、安慰剂对照研究中,应对选定人群使用抗淀粉样蛋白生成和抗炎药物进行治疗。如果广泛采用这些标准并分享结果,可能有可能迅速制定出更具现实疗效机会的创新型个性化药物治疗方案。