Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy; Centro Clinico Nemo, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, Rome 00152, Italy.
Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
Neuromuscul Disord. 2021 Jun;31(6):479-488. doi: 10.1016/j.nmd.2021.02.015. Epub 2021 Feb 21.
The aim was to assess 3-year longitudinal data using 6MWT in 26 ambulant boys affected by DMD carrying nonsense mutations and to compare their results to other small mutations. We also wished to establish, within the nonsense mutations group, patterns of change according to several variables. Patients with nonsense mutations were categorized according to the stop codon type newly created by the mutation and also including the adjacent 5' (upstream) and 3' (downstream) nucleotides. No significant difference was found between nonsense mutations and other small mutations (p > 0.05) on the 6MWT. Within the nonsense mutations group, there was no difference in 6MWT when the patients were subdivided according to: Type of stop codon, frame status of exons involved, protein domain affected. In contrast, there was a difference when the stop codon together with the 3' adjacent nucleotide ("stop+4 model") was considered (p < 0.05) with patients with stop codon TGA and 3' adjacent nucleotide G (TGAG) having a more rapid decline. Our finding suggest that the stop+4 model may help in predicting functional changes. This data will be useful at the time of interpreting the long term follow up of patients treated with Ataluren that are becoming increasingly available.
目的是使用 6MWT 评估 26 名患有 DMD 并携带无义突变的可走动男孩的 3 年纵向数据,并将其结果与其他小突变进行比较。我们还希望在无义突变组内,根据几个变量确定变化模式。根据突变新产生的终止密码子类型以及相邻的 5'(上游)和 3'(下游)核苷酸,对携带无义突变的患者进行分类。无义突变和其他小突变(p>0.05)在 6MWT 上无显著差异。在无义突变组内,当根据:终止密码子类型、涉及的外显子的框状态、受影响的蛋白质结构域对患者进行细分时,6MWT 无差异。相比之下,当考虑终止密码子和 3' 相邻核苷酸(“stop+4 模型”)时,存在差异(p<0.05),具有 TGA 终止密码子和 3' 相邻核苷酸 G(TGAG)的患者下降速度更快。我们的发现表明,stop+4 模型可能有助于预测功能变化。随着越来越多的 Ataluren 治疗患者的长期随访数据的出现,这些数据将在解释患者的长期随访结果时非常有用。