Suppr超能文献

单一大规模线粒体 DNA 缺失患者的疾病进展。

Disease progression in patients with single, large-scale mitochondrial DNA deletions.

机构信息

1 Wellcome Trust Centre for Mitochondrial Research, Institute for Ageing and Health, Newcastle University, Newcastle upon Tyne, UK.

出版信息

Brain. 2014 Feb;137(Pt 2):323-34. doi: 10.1093/brain/awt321. Epub 2013 Nov 25.

Abstract

Single, large-scale deletions of mitochondrial DNA are a common cause of mitochondrial disease and cause a broad phenotypic spectrum ranging from mild myopathy to devastating multi-system syndromes such as Kearns-Sayre syndrome. Studies to date have been inconsistent on the value of putative predictors of clinical phenotype and disease progression such as mutation load and the size or location of the deletion. Using a cohort of 87 patients with single, large-scale mitochondrial DNA deletions we demonstrate that a variety of outcome measures such as COX-deficient fibre density, age-at-onset of symptoms and progression of disease burden, as measured by the Newcastle Mitochondrial Disease Adult Scale, are significantly (P < 0.05) correlated with the size of the deletion, the deletion heteroplasmy level in skeletal muscle, and the location of the deletion within the genome. We validate these findings with re-analysis of 256 cases from published data and clarify the previously conflicting information of the value of these predictors, identifying that multiple regression analysis is necessary to understand the effect of these interrelated predictors. Furthermore, we have used mixed modelling techniques to model the progression of disease according to these predictors, allowing a better understanding of the progression over time of this strikingly variable disease. In this way we have developed a new paradigm in clinical mitochondrial disease assessment and management that sidesteps the perennial difficulty of ascribing a discrete clinical phenotype to a broad multi-dimensional and progressive spectrum of disease, establishing a framework to allow better understanding of disease progression.

摘要

单一、大规模的线粒体 DNA 缺失是线粒体疾病的常见原因,导致广泛的表型谱,从轻度肌病到毁灭性的多系统综合征,如 Kearns-Sayre 综合征。迄今为止的研究对于预测临床表型和疾病进展的潜在指标,如突变负荷和缺失的大小或位置,其价值一直存在不一致。本研究使用 87 例单一、大规模线粒体 DNA 缺失患者的队列,我们证明了多种预后指标,如 COX 缺陷纤维密度、症状发病年龄和疾病负担的进展(用纽卡斯尔线粒体疾病成人量表衡量),与缺失的大小、骨骼肌中缺失的异质性水平以及基因组中缺失的位置显著相关(P < 0.05)。我们通过对已发表数据中 256 例病例的重新分析验证了这些发现,并澄清了这些预测指标的价值的先前相互矛盾的信息,确定需要进行多元回归分析才能了解这些相互关联的预测指标的影响。此外,我们还使用混合模型技术根据这些预测因素对疾病的进展进行建模,从而更好地了解这种变化多端的疾病随时间的进展情况。通过这种方式,我们在临床线粒体疾病评估和管理方面开创了一个新的范例,回避了将离散的临床表型归因于广泛的多维和进展性疾病谱的持久困难,建立了一个框架,以更好地理解疾病的进展情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3697/3914470/6deda71053e2/awt321f1p.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验