Literature DB >> 9050227

Regulation analysis of energy metabolism.

M D Brand1.   

Abstract

This paper reviews top-down regulation analysis, a part of metabolic control analysis, and shows how it can be used to analyse steady states, regulation and homeostasis in complex systems such as energy metabolism in mitochondria, cells and tissues. A steady state is maintained by the variables in a system; regulation is the way the steady state is changed by external effectors. We can exploit the properties of the steady state to measure the kinetic responses (elasticities) of reactions to the concentrations of intermediates and effectors. We can reduce the complexity of the system under investigation by grouping reactions into large blocks connected by a small number of explicit intermediates-this is the top-down approach to control analysis. Simple titrations then yield all the values of elasticities and control coefficients within the system. We can use these values to quantify the relative strengths of different internal pathways that act to keep an intermediate or a rate constant in the steady state. We can also use them to quantify the relative strengths of different primary actions of an external effector and the different internal pathways that transmit its effects through the system, to describe regulation and homeostasis. This top-down regulation analysis has been used to analyse steady states of energy metabolism in mitochondria, cells and tissues, and to analyse regulation of energy metabolism by cadmium, an external effector, in mitochondria. The combination of relatively simple experiments and new theoretical structures for presenting and interpreting the results means that top-down regulation analysis provides a novel and effective way to analyse steady states, regulation and homeostasis in intricate metabolic systems.

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Year:  1997        PMID: 9050227     DOI: 10.1242/jeb.200.2.193

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  33 in total

1.  Parameter estimation in modeling phosphocreatine recovery in human skeletal muscle.

Authors:  Laurent M Arsac; Eric Thiaudière; Philippe Diolez; Léo Gerville-Réache
Journal:  Eur J Appl Physiol       Date:  2003-11-19       Impact factor: 3.078

2.  Quantitative measurement of mitochondrial membrane potential in cultured cells: calcium-induced de- and hyperpolarization of neuronal mitochondria.

Authors:  Akos A Gerencser; Christos Chinopoulos; Matthew J Birket; Martin Jastroch; Cathy Vitelli; David G Nicholls; Martin D Brand
Journal:  J Physiol       Date:  2012-04-10       Impact factor: 5.182

3.  Control analysis of DNA microarray expression data.

Authors:  R Keira Curtis; Martin D Brand
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

4.  Metabolic activation-driven mitochondrial hyperpolarization predicts insulin secretion in human pancreatic beta-cells.

Authors:  Akos A Gerencser
Journal:  Biochim Biophys Acta Bioenerg       Date:  2018-06-08       Impact factor: 3.991

5.  Muscle [phosphocreatine] dynamics during exercise: implication for understanding the regulation of muscle oxidative metabolism.

Authors:  Clément Menuet; Laurent M Arsac
Journal:  J Physiol       Date:  2008-05-15       Impact factor: 5.182

Review 6.  Top-down elasticity analysis and its application to energy metabolism in isolated mitochondria and intact cells.

Authors:  M D Brand
Journal:  Mol Cell Biochem       Date:  1998-07       Impact factor: 3.396

Review 7.  Sirtuins-Mediated System-Level Regulation of Mammalian Tissues at the Interface between Metabolism and Cell Cycle: A Systematic Review.

Authors:  Parcival Maissan; Eva J Mooij; Matteo Barberis
Journal:  Biology (Basel)       Date:  2021-03-04

8.  Effect of aging, caloric restriction, and uncoupling protein 3 (UCP3) on mitochondrial proton leak in mice.

Authors:  Danny K Asami; Roger B McDonald; Kevork Hagopian; Barbara A Horwitz; David Warman; Aileen Hsiao; Craig Warden; Jon J Ramsey
Journal:  Exp Gerontol       Date:  2008-09-30       Impact factor: 4.032

9.  Improved energy supply regulation in chronic hypoxic mouse counteracts hypoxia-induced altered cardiac energetics.

Authors:  Guillaume Calmettes; Véronique Deschodt-Arsac; Gilles Gouspillou; Sylvain Miraux; Bernard Muller; Jean-Michel Franconi; Eric Thiaudiere; Philippe Diolez
Journal:  PLoS One       Date:  2010-02-18       Impact factor: 3.240

10.  Cancer proliferation and therapy: the Warburg effect and quantum metabolism.

Authors:  Lloyd A Demetrius; Johannes F Coy; Jack A Tuszynski
Journal:  Theor Biol Med Model       Date:  2010-01-19       Impact factor: 2.432

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