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本文引用的文献

1
Diagnostic approach to mitochondrial disorders: the need for a reliable biomarker.线粒体疾病的诊断方法:对可靠生物标志物的需求。
Curr Mol Med. 2009 Dec;9(9):1095-107. doi: 10.2174/156652409789839099.
2
Inherited disorders affecting mitochondrial function are associated with glutathione deficiency and hypocitrullinemia.影响线粒体功能的遗传性疾病与谷胱甘肽缺乏和低瓜氨酸血症有关。
Proc Natl Acad Sci U S A. 2009 Mar 10;106(10):3941-5. doi: 10.1073/pnas.0813409106. Epub 2009 Feb 17.
3
Metabolite profiling of blood from individuals undergoing planned myocardial infarction reveals early markers of myocardial injury.对计划接受心肌梗死治疗的个体的血液进行代谢物分析,可揭示心肌损伤的早期标志物。
J Clin Invest. 2008 Oct;118(10):3503-12. doi: 10.1172/JCI35111.
4
Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity.对葡萄糖挑战的人体反应的代谢谱分析揭示了胰岛素敏感性的不同轴。
Mol Syst Biol. 2008;4:214. doi: 10.1038/msb.2008.50. Epub 2008 Aug 5.
5
Clinical use of creatine in neuromuscular and neurometabolic disorders.肌酸在神经肌肉和神经代谢紊乱中的临床应用。
Subcell Biochem. 2007;46:183-204. doi: 10.1007/978-1-4020-6486-9_10.
6
The in-depth evaluation of suspected mitochondrial disease.对疑似线粒体疾病的深入评估。
Mol Genet Metab. 2008 May;94(1):16-37. doi: 10.1016/j.ymgme.2007.11.018. Epub 2008 Feb 1.
7
Metabolic pathway profiling of mitochondrial respiratory chain mutants in C. elegans.秀丽隐杆线虫中线粒体呼吸链突变体的代谢途径分析
Mol Genet Metab. 2008 Apr;93(4):388-97. doi: 10.1016/j.ymgme.2007.11.007. Epub 2008 Feb 21.
8
Mitochondrial disease: a practical approach for primary care physicians.线粒体疾病:基层医疗医生的实用方法。
Pediatrics. 2007 Dec;120(6):1326-33. doi: 10.1542/peds.2007-0391.
9
Prevalence, segregation, and phenotype of the mitochondrial DNA 3243A>G mutation in children.儿童线粒体DNA 3243A>G突变的患病率、分离情况及表型
Ann Neurol. 2007 Sep;62(3):278-87. doi: 10.1002/ana.21196.
10
31P-MRS of skeletal muscle is not a sensitive diagnostic test for mitochondrial myopathy.骨骼肌的31P磁共振波谱分析对线粒体肌病而言并非一项敏感的诊断检测手段。
J Neurol. 2007 Jan;254(1):29-37. doi: 10.1007/s00415-006-0229-5. Epub 2007 Feb 4.

通过培养的肌肉细胞代谢组学分析,揭示了一种人类线粒体疾病的血浆特征。

A plasma signature of human mitochondrial disease revealed through metabolic profiling of spent media from cultured muscle cells.

机构信息

Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114, USA.

出版信息

Proc Natl Acad Sci U S A. 2010 Jan 26;107(4):1571-5. doi: 10.1073/pnas.0906039107. Epub 2010 Jan 8.

DOI:10.1073/pnas.0906039107
PMID:20080599
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2824369/
Abstract

Mutations in either the mitochondrial or nuclear genomes can give rise to respiratory chain disease (RCD), a large class of devastating metabolic disorders. Their clinical management is challenging, in part because we lack facile and accurate biomarkers to aid in diagnosis and in the monitoring of disease progression. Here we introduce a sequential strategy that combines biochemical analysis of spent media from cell culture with analysis of patient plasma to identify disease biomarkers. First, we applied global metabolic profiling to spotlight 32 metabolites whose uptake or secretion kinetics were altered by chemical inhibition of the respiratory chain in cultured muscle . These metabolites span a wide range of pathways and include lactate and alanine, which are used clinically as biomarkers of RCD. We next measured the cell culture-defined metabolites in human plasma to discover that creatine is reproducibly elevated in two independent cohorts of RCD patients, exceeding lactate and alanine in magnitude of elevation and statistical significance. In cell culture extracellular creatine was inversely related to the intracellular phosphocreatine:creatine ratio suggesting that the elevation of plasma creatine in RCD patients signals a low energetic state of tissues using the phosphocreatine shuttle. Our study identifies plasma creatine as a potential biomarker of human mitochondrial dysfunction that could be clinically useful. More generally, we illustrate how spent media from cellular models of disease may provide a window into the biochemical derangements in human plasma, an approach that could, in principle, be extended to a range of complex diseases.

摘要

线粒体或核基因组中的突变均可导致呼吸链疾病(RCD),这是一大类破坏性代谢紊乱。它们的临床管理具有挑战性,部分原因是我们缺乏简便、准确的生物标志物来辅助诊断和监测疾病进展。在这里,我们介绍了一种组合策略,该策略结合了细胞培养物中废弃培养基的生化分析和患者血浆分析,以鉴定疾病生物标志物。首先,我们应用全局代谢组学分析,突出了 32 种代谢物,这些代谢物的摄取或分泌动力学因化学抑制培养的肌肉中的呼吸链而改变。这些代谢物涵盖了广泛的途径,包括乳酸盐和丙氨酸,它们临床上被用作 RCD 的生物标志物。接下来,我们测量了人类血浆中细胞培养定义的代谢物,发现肌酸在两个独立的 RCD 患者队列中都被反复升高,其升高幅度和统计学意义超过了乳酸盐和丙氨酸。在细胞培养中,细胞外肌酸与细胞内磷酸肌酸:肌酸比呈负相关,这表明 RCD 患者血浆中肌酸的升高表明使用磷酸肌酸穿梭的组织能量状态较低。我们的研究确定了血浆肌酸作为人类线粒体功能障碍的潜在生物标志物,这可能具有临床应用价值。更广泛地说,我们展示了疾病的细胞模型中的废弃培养基如何为人类血浆中的生化紊乱提供一个窗口,这种方法原则上可以扩展到一系列复杂疾病。