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用于遗传性肌肉疾病分子诊断的骨骼肌靶向大规模平行测序和组织学评估。

Targeted massively parallel sequencing and histological assessment of skeletal muscles for the molecular diagnosis of inherited muscle disorders.

作者信息

Nishikawa Atsuko, Mitsuhashi Satomi, Miyata Naomasa, Nishino Ichizo

机构信息

Department of Neuromuscular Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan.

Department of Education, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Yamanashi, Japan.

出版信息

J Med Genet. 2017 Feb;54(2):104-110. doi: 10.1136/jmedgenet-2016-104073. Epub 2016 Sep 6.

Abstract

BACKGROUND

Inherited skeletal muscle diseases are genetically heterogeneous diseases caused by mutations in more than 150 genes. This has made it challenging to establish a high-throughput screening method for identifying causative gene mutations in clinical practice.

AIM

In the present study, we developed a useful method for screening gene mutations associated with the pathogenesis of skeletal muscle diseases.

METHODS

We established four target gene panels, each covering all exonic and flanking regions of genes involved in the pathogenesis of the following muscle diseases: (1) muscular dystrophy (MD), (2) congenital myopathy/congenital myasthenic syndrome, (3) metabolic myopathy and (4) myopathy with protein aggregations/rimmed vacuoles. We assigned one panel to each patient based on the results of clinical and histological analyses of biopsied muscle samples and performed high-throughput sequencing by using Ion PGM next-generation sequencer. We also performed protein analysis to confirm defective proteins in patients with major muscular dystrophies. Further, we performed muscle-derived cDNA analysis to identify splice-site mutations.

RESULTS

We identified possible causative gene mutations in 33% of patients (62/188) included in this study. Our results showed that the MD panel was the most useful, with a diagnostic rate of 46.2%.

CONCLUSIONS

Thus, we developed a high-throughput sequencing technique for diagnosing inherited muscle diseases. The use of this technique along with histological and protein analyses may be useful and cost-effective for screening mutations in patients with inherited skeletal muscle diseases.

摘要

背景

遗传性骨骼肌疾病是由150多个基因的突变引起的基因异质性疾病。这使得在临床实践中建立一种用于识别致病基因突变的高通量筛选方法具有挑战性。

目的

在本研究中,我们开发了一种用于筛选与骨骼肌疾病发病机制相关基因突变的有用方法。

方法

我们建立了四个目标基因panel,每个panel覆盖以下肌肉疾病发病机制中涉及基因的所有外显子和侧翼区域:(1)肌营养不良症(MD),(2)先天性肌病/先天性肌无力综合征,(3)代谢性肌病和(4)伴有蛋白质聚集/镶边空泡的肌病。根据活检肌肉样本的临床和组织学分析结果为每位患者分配一个panel,并使用Ion PGM下一代测序仪进行高通量测序。我们还进行了蛋白质分析以确认主要肌营养不良症患者中存在缺陷的蛋白质。此外,我们进行了肌肉来源的cDNA分析以鉴定剪接位点突变。

结果

我们在本研究纳入的33%(62/188)的患者中鉴定出可能的致病基因突变。我们的结果表明,MD panel最有用,诊断率为46.2%。

结论

因此,我们开发了一种用于诊断遗传性肌肉疾病的高通量测序技术。将该技术与组织学和蛋白质分析结合使用,对于筛选遗传性骨骼肌疾病患者的突变可能是有用且具有成本效益的。

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