Ortega Fernando, Acerenza Luis
Centre de Química Teòrica at Parc Científic de Barcelona and Department de Química Física, Facultat de Qui;mica, Universitat de Barcelona, C/Martí i Franquès 1, 08028 Barcelona, Spain.
Biochem J. 2002 Oct 1;367(Pt 1):41-8. doi: 10.1042/BJ20020520.
Metabolic control analysis has been extensively used to describe how the sensitivity properties of the component enzymes in a metabolic pathway (represented by the elasticity coefficients) determine the way in which metabolic variables respond (described by the control coefficients). Similarly, metabolic control design addresses the inverse problem of obtaining the sensitivity properties of the component enzymes that are required for the system to show a pre-established pattern of responses. These formalisms, including what is called elasticity analysis and design, were developed for small, strictly speaking infinitesimal, changes. Here we extend them to large metabolic responses. The new approach can be applied to simple two-step pathways or to any arbitrary metabolic system divided into two groups linked by one intermediate. General expressions that relate control and elasticity coefficients for large changes are derived. Concentration and flux connectivity relationships are obtained. The relationships for large changes indicate that the pattern of responses is not necessarily the same as the one obtained with the traditional infinitesimal approach, in some cases the patterns being qualitatively different. The general analysis is used to study the control of ketogenesis in rat liver mitochondria, starting from data available in the literature. The control profile of the pathway subject to large changes shows both quantitative and qualitative differences from the one obtained from an analysis that is performed with infinitesimal coefficients. This exemplifies the type of errors that may be introduced when drawing conclusions about large metabolic responses from results obtained with an infinitesimal treatment.
代谢控制分析已被广泛用于描述代谢途径中各组分酶的敏感性特性(由弹性系数表示)如何决定代谢变量的响应方式(由控制系数描述)。类似地,代谢控制设计解决的是相反的问题,即获得系统呈现预先设定响应模式所需的各组分酶的敏感性特性。这些形式体系,包括所谓的弹性分析和设计,是针对小的、严格来说是无穷小的变化而发展起来的。在此,我们将它们扩展到较大的代谢响应。新方法可应用于简单的两步途径或任何分为两组并由一种中间物连接的任意代谢系统。推导了与大变化的控制系数和弹性系数相关的一般表达式。得到了浓度和通量连通性关系。大变化的关系表明,响应模式不一定与传统无穷小方法得到的模式相同,在某些情况下,模式在质上是不同的。利用文献中的现有数据,通过一般分析来研究大鼠肝线粒体中酮体生成的控制。该途径在大变化下的控制图谱与用无穷小系数进行分析得到的图谱在定量和定性上均存在差异。这例证了在从无穷小处理得到的结果得出关于大代谢响应的结论时可能引入的错误类型。