Literature DB >> 21061310

An energy systems approach to Parkinson's disease.

Peter Wellstead1, Mathieu Cloutier.   

Abstract

The cause of Parkinson's disease (PD) remains unknown despite it being the second most prevalent neurodegenerative condition. Indeed, there is a growing consensus that there is no single cause, and that PD is a multifactorial systemic condition, in which a number of factors may determine its etiopathogenesis. We describe a systems approach that addresses the multifactorial aspects of PD and overcomes constraints on conventional experimentation imposed by PD's causal complexity, its long temporal duration, and its uniqueness to human brains. Specifically, a mathematical model of brain energy metabolism is used as a core module to which other modules describing cellular processes thought to be associated with PD can be attached and studied in an integrative environment. Employing brain energy usage as the core of a systems approach also enables the potential role that compromised energy metabolism may have in the etiology of PD. Although developed for PD, it has not escaped our attention that the energy systems approach outlined here could also be applied to other neurodegenerative disorders-most notably Alzheimer's disease.

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Year:  2011        PMID: 21061310     DOI: 10.1002/wsbm.107

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  15 in total

1.  A single compartment model of pacemaking in dissasociated substantia nigra neurons: stability and energy analysis.

Authors:  Febe Francis; Míriam R García; Richard H Middleton
Journal:  J Comput Neurosci       Date:  2013-05-19       Impact factor: 1.621

2.  Energy-based analysis of biomolecular pathways.

Authors:  Peter J Gawthrop; Edmund J Crampin
Journal:  Proc Math Phys Eng Sci       Date:  2017-06-21       Impact factor: 2.704

Review 3.  Computational approaches for understanding energy metabolism.

Authors:  Alexander A Shestov; Brandon Barker; Zhenglong Gu; Jason W Locasale
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-07-29

Review 4.  Parkinson's disease mouse models in translational research.

Authors:  Paul M A Antony; Nico J Diederich; Rudi Balling
Journal:  Mamm Genome       Date:  2011-05-11       Impact factor: 2.957

5.  The energy cost of action potential propagation in dopamine neurons: clues to susceptibility in Parkinson's disease.

Authors:  Eleftheria K Pissadaki; J Paul Bolam
Journal:  Front Comput Neurosci       Date:  2013-03-18       Impact factor: 2.380

6.  Living on the edge with too many mouths to feed: why dopamine neurons die.

Authors:  J Paul Bolam; Eleftheria K Pissadaki
Journal:  Mov Disord       Date:  2012-09-24       Impact factor: 10.338

7.  Cancer cell growth and survival as a system-level property sustained by enhanced glycolysis and mitochondrial metabolic remodeling.

Authors:  Lilia Alberghina; Daniela Gaglio; Cecilia Gelfi; Rosa M Moresco; Giancarlo Mauri; Paola Bertolazzi; Cristina Messa; Maria C Gilardi; Ferdinando Chiaradonna; Marco Vanoni
Journal:  Front Physiol       Date:  2012-09-12       Impact factor: 4.566

Review 8.  A constraint-based modelling approach to metabolic dysfunction in Parkinson's disease.

Authors:  Longfei Mao; Averina Nicolae; Miguel A P Oliveira; Feng He; Siham Hachi; Ronan M T Fleming
Journal:  Comput Struct Biotechnol J       Date:  2015-09-02       Impact factor: 7.271

9.  Metabolomics and in-silico analysis reveal critical energy deregulations in animal models of Parkinson's disease.

Authors:  Pierre O Poliquin; Jingkui Chen; Mathieu Cloutier; Louis-Éric Trudeau; Mario Jolicoeur
Journal:  PLoS One       Date:  2013-07-23       Impact factor: 3.240

10.  (ADP-ribose) polymerase 1 and AMP-activated protein kinase mediate progressive dopaminergic neuronal degeneration in a mouse model of Parkinson's disease.

Authors:  T W Kim; H M Cho; S Y Choi; Y Suguira; T Hayasaka; M Setou; H C Koh; E Mi Hwang; J Y Park; S J Kang; H S Kim; H Kim; W Sun
Journal:  Cell Death Dis       Date:  2013-11-14       Impact factor: 8.469

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