Systems Biology of Parkinson's Disease

ISBN-13: 9781493901265 / Angielski / Miękka / 2014 / 176 str.

Peter Wellstead; Mathieu Cloutier

Opis

The Systems Biology of Parkinson's Disease will be underpinned by new measurement techniques. This is particularly true of the pathology of Parkinson's Disease, where recent developments in brain imaging have offered new insights into the morphology of dopaminergic neurons that have profound implications for the special vulnerability and role of this class of neurons.

Recenzje

From the reviews:

"This book is based on the fascinating concept of applying systems biology ... to understand how things work and apply this approach to the study of Parkinson's disease. ... The book is intended for Parkinson's disease specialists and researchers, and it is best suited for researchers. It is well written by credible authorities in the field. ... The book accomplishes its main goals without question. This is a novel approach to an important clinical condition." (Joseph I. Sirven, Doody's Review Service, September, 2012)

Spis treści

Imaging of dopaminergic neurons and the implications for Parkinson’s disease.- Modelling and simulation of brain energy metabolism: energy and Parkinson's disease.- Systems Biology of Aging: Opportunities for Parkinson’s Disease.- Mitochondrion- and Endoplasmic Reticulum-Induced SK Channel Dysregulation as a Potential Origin of the Selective Neurodegeneration in Parkinson’s Disease.- Energetics of Ion Transport in Dopaminergic Substantia nigra Neurons: ion exchange dynamics at the pacemaking membrane.- Real-time In Vivo Sensing of Neurochemicals.- Modeling protein and oxidative metabolism in Parkinson's disease.- Mathematical Models of Dopamine Metabolism in Parkinson’s Disease.- Index.

Blurb

This text is the first to present a study of Parkinson’s disease from a Systems Biology perspective. By placing the condition at centre stage, the authors have been able to provide a wide ranging modelling and systems analysis that is focussed on a multi-facetted and highly complex condition. The book comprises a specially selected set of eight studies of important aspects of PD, covering all relevant scales of space and time. These are used to show how innovative sensing techniques, mathematical modelling, model analysis and computational simulation can throw new light on the dynamics of disease mechanisms that drive this important form of neurodegeneration.