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从代谢组学到通量组学:将代谢物谱转化为代谢通量的计算程序。

From metabolomics to fluxomics: a computational procedure to translate metabolite profiles into metabolic fluxes.

作者信息

Cortassa Sonia, Caceres Viviane, Bell Lauren N, O'Rourke Brian, Paolocci Nazareno, Aon Miguel A

机构信息

Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Metabolon, Inc., Durham, North Carolina.

出版信息

Biophys J. 2015 Jan 6;108(1):163-72. doi: 10.1016/j.bpj.2014.11.1857.

DOI:10.1016/j.bpj.2014.11.1857
PMID:25564863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4286601/
Abstract

We describe a believed-novel procedure for translating metabolite profiles (metabolome) into the set of metabolic fluxes (fluxome) from which they originated. Methodologically, computational modeling is integrated with an analytical platform comprising linear optimization, continuation and dynamic analyses, and metabolic control. The procedure was tested with metabolite profiles obtained from ex vivo mice Langendorff-heart preparations perfused with glucose. The metabolic profiles were analyzed using a detailed kinetic model of the glucose catabolic pathways including glycolysis, pentose phosphate (PP), glycogenolysis, and polyols to translate the glucose metabolome of the heart into the fluxome. After optimization, the ability of the model to simulate the initial metabolite profile was confirmed, and metabolic fluxes as well as the structure of control and regulation of the glucose catabolic network could be calculated. We show that the step catalyzed by phosphofructokinase together with ATP demand and glycogenolysis exert the highest control on the glycolytic flux. The negative flux control exerted by phosphofructokinase on the PP and polyol pathways revealed that the extent of glycolytic flux directly affects flux redirection through these pathways, i.e., the higher the glycolytic flux the lower the PP and polyols. This believed-novel methodological approach represents a step forward that may help in designing therapeutic strategies targeted to diagnose, prevent, and treat metabolic diseases.

摘要

我们描述了一种据信新颖的方法,用于将代谢物谱(代谢组)转化为其起源的代谢通量集(通量组)。在方法上,计算建模与一个分析平台相结合,该平台包括线性优化、连续和动态分析以及代谢控制。该方法用从灌注葡萄糖的离体小鼠Langendorff心脏制剂获得的代谢物谱进行了测试。使用包括糖酵解、磷酸戊糖(PP)、糖原分解和多元醇的葡萄糖分解代谢途径的详细动力学模型分析代谢谱,以将心脏的葡萄糖代谢组转化为通量组。优化后,证实了模型模拟初始代谢物谱的能力,并能够计算代谢通量以及葡萄糖分解代谢网络的控制和调节结构。我们表明,磷酸果糖激酶催化的步骤与ATP需求和糖原分解一起对糖酵解通量施加最高控制。磷酸果糖激酶对PP和多元醇途径施加的负通量控制表明,糖酵解通量的程度直接影响通过这些途径的通量重定向,即糖酵解通量越高,PP和多元醇越低。这种据信新颖的方法学方法是向前迈出的一步,可能有助于设计针对代谢疾病诊断、预防和治疗的治疗策略。

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本文引用的文献

1
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Biophys J. 2013 Jan 22;104(2):332-43. doi: 10.1016/j.bpj.2012.11.3808.
2
Fluxomics - connecting 'omics analysis and phenotypes.通量组学——连接“组学”分析与表型。
Environ Microbiol. 2013 Jul;15(7):1901-16. doi: 10.1111/1462-2920.12064. Epub 2013 Jan 1.
3
Systems approaches to biology and disease enable translational systems medicine.系统生物学和疾病的系统方法能够实现转化系统医学。
Genomics Proteomics Bioinformatics. 2012 Aug;10(4):181-5. doi: 10.1016/j.gpb.2012.08.004. Epub 2012 Aug 23.
4
Mitochondrial network energetics in the heart.心脏中线粒体网络的能量学
Wiley Interdiscip Rev Syst Biol Med. 2012 Nov-Dec;4(6):599-613. doi: 10.1002/wsbm.1188. Epub 2012 Aug 15.
5
A new metabolomics analysis technique: steady-state metabolic network dynamics analysis.一种新的代谢组学分析技术:稳态代谢网络动力学分析。
J Bioinform Comput Biol. 2012 Feb;10(1):1240003. doi: 10.1142/S0219720012400033.
6
GSH or palmitate preserves mitochondrial energetic/redox balance, preventing mechanical dysfunction in metabolically challenged myocytes/hearts from type 2 diabetic mice.GSH 或棕榈酸酯可维持线粒体能量/氧化还原平衡,防止 2 型糖尿病小鼠代谢应激的心肌细胞/心脏发生机械功能障碍。
Diabetes. 2012 Dec;61(12):3094-105. doi: 10.2337/db12-0072. Epub 2012 Jul 17.
7
Mechanical function, glycolysis, and ultrastructure of perfused working mouse hearts following thoracic aortic constriction.机械功能、糖酵解和胸主动脉缩窄后灌注工作鼠心的超微结构。
Cardiovasc Pathol. 2011 Nov-Dec;20(6):343-51. doi: 10.1016/j.carpath.2010.12.003. Epub 2011 Feb 4.
8
Organization of GC/MS and LC/MS metabolomics data into chemical libraries.将 GC/MS 和 LC/MS 代谢组学数据组织到化学文库中。
J Cheminform. 2010 Oct 18;2(1):9. doi: 10.1186/1758-2946-2-9.
9
Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model.整合定量蛋白质组学和代谢组学与基因组规模代谢网络模型。
Bioinformatics. 2010 Jun 15;26(12):i255-60. doi: 10.1093/bioinformatics/btq183.
10
In silico modeling and metabolome analysis of long-stored erythrocytes to improve blood storage methods.利用计算机模拟和代谢组学分析长期储存的红细胞,以改进血液储存方法。
J Biotechnol. 2009 Nov;144(3):212-23. doi: 10.1016/j.jbiotec.2009.08.010. Epub 2009 Aug 18.