Wilson Kristin, Faelan Crystal, Patterson-Kane Janet C, Rudmann Daniel G, Moore Steven A, Frank Diane, Charleston Jay, Tinsley Jon, Young G David, Milici Anthony J
1 Flagship Biosciences, Inc., Westminster, Colorado, USA.
2 Department of Pathology, Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA.
Toxicol Pathol. 2017 Oct;45(7):961-976. doi: 10.1177/0192623317734823. Epub 2017 Oct 3.
Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) are neuromuscular disorders that primarily affect boys due to an X-linked mutation in the DMD gene, resulting in reduced to near absence of dystrophin or expression of truncated forms of dystrophin. Some newer therapeutic interventions aim to increase sarcolemmal dystrophin expression, and accurate dystrophin quantification is critical for demonstrating pharmacodynamic relationships in preclinical studies and clinical trials. Current challenges with measuring dystrophin include the variation in protein expression within individual muscle fibers and across whole muscle samples, the presence of preexisting dystrophin-positive revertant fibers, and trace amounts of residual dystrophin. Immunofluorescence quantification of dystrophin can overcome many of these challenges, but manual quantification of protein expression may be complicated by variations in the collection of images, reproducible scoring of fluorescent intensity, and bias introduced by manual scoring of typically only a few high-power fields. This review highlights the pathology of DMD and BMD, discusses animal models of DMD and BMD, and describes dystrophin biomarker quantitation in DMD and BMD, with several image analysis approaches, including a new automated method that evaluates protein expression of individual muscle fibers.
杜兴氏肌营养不良症(DMD)和贝克氏肌营养不良症(BMD)是神经肌肉疾病,主要影响男孩,原因是DMD基因发生X连锁突变,导致肌营养不良蛋白减少至几乎缺失或出现截短形式的肌营养不良蛋白表达。一些新的治疗干预措施旨在增加肌膜上肌营养不良蛋白的表达,准确的肌营养不良蛋白定量对于在临床前研究和临床试验中证明药效学关系至关重要。目前测量肌营养不良蛋白面临的挑战包括单个肌纤维内和整个肌肉样本中蛋白质表达的差异、预先存在的肌营养不良蛋白阳性回复纤维的存在以及痕量残留肌营养不良蛋白。肌营养不良蛋白的免疫荧光定量可以克服其中许多挑战,但蛋白质表达的手动定量可能会因图像采集的差异、荧光强度的可重复评分以及通常仅对少数高倍视野进行手动评分所引入的偏差而变得复杂。本综述重点介绍了DMD和BMD的病理学,讨论了DMD和BMD的动物模型,并描述了DMD和BMD中肌营养不良蛋白生物标志物的定量方法,包括几种图像分析方法,其中一种新的自动化方法可评估单个肌纤维的蛋白质表达。