Department of Medicine, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA.
Department of Neurology, Boston Children's Hospital, Boston, MA, USA.
Neurotherapeutics. 2020 Jan;17(1):142-152. doi: 10.1007/s13311-019-00825-1.
As the drug development pipeline for Duchenne muscular dystrophy (DMD) rapidly advances, clinical trial outcomes need to be optimized. Effective assessment of disease burden, natural history progression, and response to therapy in clinical trials for Duchenne muscular dystrophy are critical factors for clinical trial success. By choosing optimal biomarkers to better assess therapeutic efficacy, study costs and sample size requirements can be reduced. Currently, functional measures continue to serve as the primary outcome for the majority of DMD clinical trials. Quantitative measures of muscle health, including magnetic resonance imaging and spectroscopy, electrical impedance myography, and ultrasound, sensitively identify diseased muscle, disease progression, and response to a therapeutic intervention. Furthermore, such non-invasive techniques have the potential to identify disease pathology prior to onset of clinical symptoms. Despite robust supportive evidence, non-invasive quantitative techniques are still not frequently utilized in clinical trials for Duchenne muscular dystrophy. Non-invasive quantitative techniques have demonstrated the ability to quantify disease progression and potential response to therapeutic intervention, and should be used as a supplement to current standard functional measures. Such methods have the potential to significantly accelerate the development and approval of therapies for DMD.
随着杜氏肌营养不良症(DMD)药物研发管线的快速推进,临床试验结果需要得到优化。有效的疾病负担评估、自然病史进展以及对杜氏肌营养不良症临床试验治疗的反应是临床试验成功的关键因素。通过选择最佳的生物标志物来更好地评估治疗效果,可以降低研究成本和样本量要求。目前,功能测量仍然是大多数 DMD 临床试验的主要结果。肌肉健康的定量测量,包括磁共振成像和光谱学、电阻抗肌图和超声,能够敏感地识别患病肌肉、疾病进展和对治疗干预的反应。此外,这些非侵入性技术有可能在出现临床症状之前识别疾病病理。尽管有强有力的支持证据,但非侵入性定量技术在杜氏肌营养不良症的临床试验中仍未得到广泛应用。非侵入性定量技术已经证明能够定量疾病进展和对治疗干预的潜在反应,应该作为当前标准功能测量的补充。这些方法有可能显著加快 DMD 治疗方法的开发和批准。