Dubowitz Neuromuscular Centre, UCL Great Ormond Street Institute of Child Health, London, UK.
NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health & Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Acta Neuropathol Commun. 2020 Apr 17;8(1):53. doi: 10.1186/s40478-020-00918-5.
The primary molecular endpoint for many Duchenne muscular dystrophy (DMD) clinical trials is the induction, or increase in production, of dystrophin protein in striated muscle. For accurate endpoint analysis, it is essential to have reliable, robust and objective quantification methodologies capable of detecting subtle changes in dystrophin expression. In this work, we present further development and optimisation of an automated, digital, high-throughput script for quantitative analysis of multiplexed immunofluorescent (IF) whole slide images (WSI) of dystrophin, dystrophin associated proteins (DAPs) and regenerating myofibres (fetal/developmental myosin-positive) in transverse sections of DMD, Becker muscular dystrophy (BMD) and control skeletal muscle biopsies. The script enables extensive automated assessment of myofibre morphometrics, protein quantification by fluorescence intensity and sarcolemmal circumference coverage, colocalisation data for dystrophin and DAPs and regeneration at the single myofibre and whole section level. Analysis revealed significant variation in dystrophin intensity, percentage coverage and amounts of DAPs between differing DMD and BMD samples. Accurate identification of dystrophin via a novel background subtraction method allowed differential assessment of DAP fluorescence intensity within dystrophin positive compared to dystrophin negative sarcolemma regions. This enabled surrogate quantification of molecular functionality of dystrophin in the assembly of the DAP complex. Overall, the digital script is capable of multiparametric and unbiased analysis of markers of myofibre regeneration and dystrophin in relation to key DAPs and enabled better characterisation of the heterogeneity in dystrophin expression patterns seen in BMD and DMD alongside the surrogate assessment of molecular functionality of dystrophin. Both these aspects will be of significant relevance to ongoing and future DMD and other muscular dystrophies clinical trials to help benchmark therapeutic efficacy.
许多杜氏肌营养不良症(DMD)临床试验的主要分子终点是诱导或增加横纹肌中的肌营养不良蛋白的产生。为了进行准确的终点分析,至关重要的是要有可靠、强大和客观的定量方法,能够检测到肌营养不良蛋白表达的细微变化。在这项工作中,我们进一步开发和优化了一种自动化、数字化、高通量的脚本,用于对 DMD、贝克型肌营养不良症(BMD)和对照骨骼肌活检的横切面上肌营养不良蛋白、肌营养不良蛋白相关蛋白(DAP)和再生肌纤维(胎儿/发育性肌球蛋白阳性)的多重免疫荧光(IF)全幻灯片图像(WSI)进行定量分析。该脚本能够广泛自动评估肌纤维形态计量学、荧光强度和肌膜周长覆盖的蛋白定量、肌营养不良蛋白和 DAP 的共定位数据以及单个肌纤维和整个切片水平的再生。分析显示,不同的 DMD 和 BMD 样本之间肌营养不良蛋白强度、百分比覆盖和 DAP 量存在显著差异。通过一种新的背景减除方法准确识别肌营养不良蛋白,允许在肌营养不良蛋白阳性与肌营养不良蛋白阴性肌膜区域内对 DAP 荧光强度进行差异评估。这使得可以替代评估 DAP 复合物组装中肌营养不良蛋白的分子功能。总的来说,数字脚本能够对肌纤维再生和肌营养不良蛋白相关的标志物进行多参数和无偏分析,与关键的 DAP 相关,并能够更好地描述 BMD 和 DMD 中所见的肌营养不良蛋白表达模式的异质性,以及替代评估肌营养不良蛋白的分子功能。这两个方面对于正在进行和未来的 DMD 和其他肌营养不良症临床试验都具有重要意义,有助于基准治疗效果。