Wittens Mandy M J, Sima Diana M, Brys Arne, Struyfs Hanne, Niemantsverdriet Ellis, De Roeck Ellen, Bastin Christine, Benoit Florence, Bergmans Bruno, Bier Jean-Christophe, de Deyn Peter Paul, Deryck Olivier, Hanseeuw Bernard, Ivanoiu Adrian, Picard Gaëtane, Salmon Eric, Segers Kurt, Sieben Anne, Thiery Evert, Tournoy Jos, van Binst Anne-Marie, Versijpt Jan, Smeets Dirk, Bjerke Maria, Bellio Maura, Oxtoby Neil P, Alexander Daniel C, Ribbens Annemie, Engelborghs Sebastiaan
Dep. of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
Dep. of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Alzheimers Res Ther. 2025 Jun 16;17(1):134. doi: 10.1186/s13195-025-01788-6.
Event-based modeling (EBM) traces sequential progression of events in complex processes like neurodegenerative diseases, adept at handling uncertainties. This study validated an EBM for Alzheimer's disease (AD) staging designed by EuroPOND, an EU-funded Horizon 2020 project, using research and real-world datasets, a crucial step towards application in multi-center trials.
The training dataset comprised 1737 subjects from ADNI-1/GO/2, using the EuroPOND EBM toolbox. Testing datasets included a research cohort from University of Antwerp (controls, CN (n = 46), subjective cognitive decline, SCD (n = 10), mild cognitive impairment, MCI (n = 47), AD dementia, ADD (n = 16)) and a real-world cohort from 9 Belgian Dementia Council memory clinics (CN (n = 91), SCD (n = 66), (non-amnestic) naMCI (n = 54), aMCI (n = 255), and ADD (n = 220). Biomarkers included: 2 clinical scores (Mini Mental State Examination (MMSE), Rey Auditory Verbal Learning Test (RAVLT)); 3 CSF-biomarkers (Aβ, P-tau, total-Tau); and 4 magnetic resonance imaging (MRI) biomarkers (volumes of the hippocampi, temporal, parietal, and frontal cortices) computed with icobrain dm. The naMCI and aMCI groups were compared by EBM stage proportions, and the model's effectiveness at patient level was evaluated.
The research cohort's maximum likelihood event sequence comprised CSF Aβ, P-tau, T-tau, RAVLT, MMSE, and cortical volumes. The clinical cohort's order was frontal cortex volume, MMSE, and remaining cortical regions. aMCI subjects showed higher staging than naMCI, with 54% in the two most advanced stages compared to 38% in naMCI. In the research cohort, 10 outliers were identified with potential mismatches between assigned stages and clinical or biomarker profiles, with CN (n = 4) and SCD (n = 2) subjects assigned in stage 4, one control in stage 9 with abnormal imaging, and three aMCI cases in stage 0 despite clinical or volumetric signs of impairment.
This study highlights the generalizability of EuroPOND's AD EBM model across research and real-world clinical datasets, supporting its use in multi-center trials. aMCI subjects generally reside in more advanced stages than naMCI, who may not necessarily have AD, demonstrating utility for precision recruitment/screening.
基于事件的建模(EBM)可追踪神经退行性疾病等复杂过程中事件的连续进展,擅长处理不确定性。本研究使用研究和真实世界数据集,验证了由欧盟资助的“地平线2020”项目EuroPOND设计的用于阿尔茨海默病(AD)分期的EBM,这是迈向在多中心试验中应用的关键一步。
训练数据集包括来自ADNI-1/GO/2的1737名受试者,使用EuroPOND EBM工具箱。测试数据集包括来自安特卫普大学的一个研究队列(对照组,CN(n = 46),主观认知下降,SCD(n = 10),轻度认知障碍,MCI(n = 47),AD痴呆,ADD(n = 16))和来自9家比利时痴呆症委员会记忆诊所的一个真实世界队列(CN(n = 91),SCD(n = 66),(非遗忘型)naMCI(n = 54),遗忘型MCI(aMCI)(n = 255),和ADD(n = 220)。生物标志物包括:2个临床评分(简易精神状态检查表(MMSE),雷伊听觉词语学习测验(RAVLT));3种脑脊液生物标志物(Aβ、磷酸化tau蛋白、总tau蛋白);以及4种磁共振成像(MRI)生物标志物(海马体、颞叶、顶叶和额叶皮质的体积),使用icobrain dm计算。通过EBM阶段比例比较naMCI组和aMCI组,并评估模型在患者层面的有效性。
研究队列的最大似然事件序列包括脑脊液Aβ、磷酸化tau蛋白、总tau蛋白、RAVLT、MMSE和皮质体积。临床队列的顺序是额叶皮质体积、MMSE和其余皮质区域。aMCI受试者的分期高于naMCI,两个最晚期阶段的比例为54%,而naMCI为38%。在研究队列中,识别出了10个异常值,其分配的阶段与临床或生物标志物特征之间可能存在不匹配,4名CN受试者(n = 4)和2名SCD受试者(n = 2)被分配到第4阶段,1名对照组受试者在第9阶段且影像学异常,3例aMCI病例尽管有临床或体积学损伤迹象但被分配到第0阶段。
本研究强调了EuroPOND的AD EBM模型在研究和真实世界临床数据集上的可推广性,支持其在多中心试验中的应用。aMCI受试者通常比naMCI处于更晚期阶段,而naMCI不一定患有AD,这表明该模型在精准招募/筛查方面具有实用性。