苏格兰西部 m.3243A>G 变异线粒体个体队列:表型变异和疾病严重程度的预测因素。

IF 3.2 4区 医学 Q2 CLINICAL NEUROLOGY
Charlie Saunders, Cheryl Longman, Grainne Gorman, Kelly James, Agata Oliwa, Richard Petty, Lesley Snadden, Maria Elena Farrugia
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引用次数: 0

摘要

背景:m.3243A>G变异是最常见的线粒体(mt)DNA致病变异,也是线粒体疾病的常见病因。患者的临床表现多种多样,从糖尿病到类似中风的神经系统疾病。因此,患者通常需要接受多学科团队的治疗:本项目旨在确定在格拉斯哥伊丽莎白女王大学医院肌肉诊所就诊的确诊 mt.3243A>G 相关线粒体疾病患者。我们探讨了临床表型与 mtDNA 异质性水平、HbA1c 水平、体重指数和特定临床表现之间的潜在相关性。我们还调查了临床记录中的非神经专科标签与个人表型之间是否存在差异:数据来自苏格兰西部的电子记录。表型由具有线粒体疾病专业知识的临床医生确定。统计分析用于研究组织异质性、HbA1c 和临床表型(包括体重指数 (BMI))之间的关系:结果:从 31 个无血缘关系的系谱中鉴定出 46 个个体。母系遗传的糖尿病和耳聋是主要的综合表型(48%)。发现症状总数与肠道运动障碍之间存在明显关联(p < 0.01)。将 HbA1c 作为严重程度的预测指标进行了调查,发现两者之间存在潜在联系。虽然 HbA1c 被广泛用作预后指标,但校正后的血液和尿液 mtDNA 异质性水平均与症状增多无关。在74.1%的记录中,综合征表型被非神经专科错误地使用:该 m.3243 A > G 患者群具有明显的临床异质性。尿液和血液中的异质性水平并不能可靠地预测疾病的严重程度。HbA1c 可能是疾病严重程度的一个新的预测指标,需要进一步研究这种关联。我们推断,低体重指数患者和肠道运动障碍患者的预后可能较差。这些结果强调了多学科方法,并突出了现有术语使用不准确的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The West of Scotland Cohort of Mitochondrial Individuals with the m.3243A>G Variant: Variations in Phenotypes and Predictors of Disease Severity.

Background: The m.3243A>G variant is the commonest mitochondrial (mt) DNA pathogenic variant and a frequent cause of mitochondrial disease. Individuals present with a variety of clinical manifestations from diabetes to neurological events resembling strokes. Due to this, patients are commonly cared for by a multidisciplinary team.

Objectives: This project aimed to identify patients with confirmed mt.3243A>G-related mitochondrial disease attending the Muscle Clinic at Queen Elizabeth University Hospital in Glasgow. We explored potential correlates between clinical phenotypes and mtDNA heteroplasmy levels, HbA1c levels, body mass index, and specific clinical manifestations. We investigated if there were discrepancies between non-neurological speciality labelling in clinical records and individuals' phenotypes.

Methods: Data were gathered from the West of Scotland electronic records. Phenotypes were ascertained by a clinician with expertise in mitochondrial disorders. Statistical analyses were applied to study relationships between tissue heteroplasmy, HbA1c and clinical phenotypes including body mass index (BMI).

Results: Forty-six individuals were identified from 31 unrelated pedigrees. Maternally inherited diabetes and deafness was the prominent syndromic phenotype (48%). A significant association was found between overall number of symptoms and bowel dysmotility (p < 0.01). HbA1c was investigated as a predictor of severity with potential association seen. Although used widely as a prognosticator, neither corrected blood nor urine mtDNA heteroplasmy levels were associated with increased number of symptoms. In 74.1% of records, syndromic phenotypes were incorrectly used by non-neurological specialities.

Conclusions: This m.3243 A > G patient cohort present with marked clinical heterogeneity. Urine and blood heteroplasmy levels are not reliable predictors of disease severity. HbA1c may be a novel predictor of disease severity with further research required to investigate this association. We infer that prognosis may be worse in patients with low BMIs and in those with bowel dysmotility. These results underscore a multidisciplinary approach and highlight a problem with inaccurate use of the existing nomenclature.

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来源期刊
Journal of neuromuscular diseases
Journal of neuromuscular diseases Medicine-Neurology (clinical)
CiteScore
5.10
自引率
6.10%
发文量
102
期刊介绍: The Journal of Neuromuscular Diseases aims to facilitate progress in understanding the molecular genetics/correlates, pathogenesis, pharmacology, diagnosis and treatment of acquired and genetic neuromuscular diseases (including muscular dystrophy, myasthenia gravis, spinal muscular atrophy, neuropathies, myopathies, myotonias and myositis). The journal publishes research reports, reviews, short communications, letters-to-the-editor, and will consider research that has negative findings. The journal is dedicated to providing an open forum for original research in basic science, translational and clinical research that will improve our fundamental understanding and lead to effective treatments of neuromuscular diseases.
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