目的:运动神经元病(MND)是一种无法治愈的进行性神经退行性疾病,治疗选择有限。迫切需要在确定用于临床试验的疗法方面进行创新。这里,我们详细介绍了一种系统和结构化的基于证据的方法,以告知共识决策,以选择前两种药物用于运动神经元疾病的系统性多臂自适应随机试验(MND-SMART:NCT04302870),自适应平台试验。我们的目标是确定并优先考虑具有最佳疗效证据的候选药物,可接受的安全性特征,并且在试验方案中评估是可行的。
方法:我们进行了两阶段系统评价,以确定潜在的神经保护性干预措施。首先,我们回顾了MND的临床研究,老年痴呆症,亨廷顿病,帕金森病和多发性硬化症,鉴定至少一种MND出版物或两种或更多种其他疾病的出版物中描述的药物。我们使用评估安全性的指标对药物进行评分和排名,功效,研究规模和研究质量。在第二阶段,我们回顾了药物在MND动物模型中的功效,多细胞真核模型和人诱导多能干细胞(iPSC)研究。专家小组在两轮入围和最后一轮评选中审查了候选药物,考虑到系统审查的结果,最新证据,机械论的合理性,安全,MND-SMART评估的耐受性和可行性。
结果:从临床回顾来看,我们确定了595种干预措施.66种药物符合我们的药物/疾病逻辑。其中,在第一轮入围了22种具有支持性临床和临床前证据的药物。七种药物进入第二轮。小组达成共识,评估美金刚和曲唑酮作为MND-SMART的前两个臂。
结论:对于未来的药物选择,我们将整合自动化工具,文本挖掘和机器学习技术进行系统审查,并考虑从其他领域生成的数据,包括人类iPSC的高通量表型筛选。
Motor neuron disease (MND) is an incurable progressive neurodegenerative disease with limited treatment options. There is a pressing need for innovation in identifying therapies to take to clinical trial. Here, we detail a systematic and structured evidence-based approach to inform
consensus decision making to select the first two drugs for evaluation in Motor Neuron Disease-Systematic Multi-arm Adaptive Randomised Trial (MND-SMART: NCT04302870), an adaptive platform trial. We aim to identify and prioritise candidate drugs which have the best available evidence for efficacy, acceptable safety profiles and are feasible for evaluation within the trial protocol.
We conducted a two-stage systematic review to identify potential neuroprotective interventions. First, we reviewed clinical studies in MND, Alzheimer\'s disease, Huntington\'s disease, Parkinson\'s disease and multiple sclerosis, identifying drugs described in at least one MND publication or publications in two or more other diseases. We scored and ranked drugs using a metric evaluating safety, efficacy, study size and study quality. In stage two, we reviewed efficacy of drugs in MND animal models, multicellular eukaryotic models and human induced pluripotent stem cell (iPSC) studies. An expert panel reviewed candidate drugs over two shortlisting rounds and a final selection round, considering the systematic review findings, late breaking evidence, mechanistic plausibility, safety, tolerability and feasibility of evaluation in MND-SMART.
From the clinical review, we identified 595 interventions. 66 drugs met our drug/disease logic. Of these, 22 drugs with supportive clinical and preclinical evidence were shortlisted at round 1. Seven drugs proceeded to round 2. The panel reached a
consensus to evaluate memantine and trazodone as the first two arms of MND-SMART.
For future drug selection, we will incorporate automation tools, text-mining and machine learning techniques to the systematic reviews and consider data generated from other domains, including high-throughput phenotypic screening of human iPSCs.