A Systems Biology Approach to Study Metabolic Syndrome

  • Matej Orešič
  • Antonio Vidal-Puig

Table of contents

  1. Front Matter
    Pages i-xix
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Matej Orešič
      Pages 17-23
  3. Pathophysiology of Metabolic Syndrome

    1. Front Matter
      Pages 25-25
    2. Simona D’Amore, Giuseppe Palasciano, Antonio Moschetta
      Pages 27-61
    3. David Sanchez-Infantes, Jacqueline M. Stephens
      Pages 63-83
    4. Bader Zarrouki, Ghislaine Fontés, Meriem Semache, Julie Amyot, Vincent Poitout
      Pages 85-109
    5. Antonio Zorzano, David Sebastián, Montserrat Romero
      Pages 111-136
    6. Luís Martins, Andrew J. Whittle, Rubén Nogueiras, Antonio Vidal-Puig, Carlos Diéguez, Miguel López
      Pages 137-156
    7. Jan Borén, Martin Adiels
      Pages 157-170
    8. Fredrik Bäckhed
      Pages 171-181
  4. Key Technologies to Study Metabolic Syndrome

    1. Front Matter
      Pages 183-183
    2. Isabel Rubio-Aliaga, Irma Silva-Zolezzi, Michael Affolter, Loïc Dayon, Alexandre Panchaud, Martin Kussmann
      Pages 185-212
    3. Marta Cascante, Adrián Benito, Igor Marín de Mas, Josep J. Centelles, Anibal Miranda, Pedro de Atauri
      Pages 237-250
    4. Anna-Marja Aura
      Pages 251-278
  5. Modeling Metabolic Syndrome

    1. Front Matter
      Pages 279-279
    2. Livnat Jerby, Eytan Ruppin
      Pages 281-298
    3. Artturi Koivuniemi, Ilpo Vattulainen
      Pages 299-318

About this book

Introduction

The aim of this book is to provide the target audience, specifically students of Medicine, Biology, Systems Biology and Bioinformatics, as well as experienced researchers in research fields relevant to metabolic syndrome (MetS) with an overview of the challenges and opportunities in systems biology and how it can be used to tackle MetS. In particular, the aims are: (1) to provide an introduction to the key biological processes involved in the pathophysiology of MetS; (2) through the use of specific examples, provide an introduction to the latest technologies that use a systems biology approach to study MetS; and (3) to give an overview of the mathematical modeling approaches for studying MetS.

The clearly written chapters by leading experts in the field provide detailed descriptions crucial for the unique position of this book and its focus on the application of systems biology to tackle specific pathophysiologically relevant aspects of MetS and provide a valuable practical guide to this research community.

 

Keywords

Metabolic Syndrome Omics Technologies Systems Biology key technologies pathophysiology

Editors and affiliations

  • Matej Orešič
    • 1
  • Antonio Vidal-Puig
    • 2
  1. 1.VTT Technical Research Centre of FinlandEspooFinland
  2. 2.Institute of Metabolic ScienceUniversity of CambridgeCambridgeUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-01008-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-319-01007-6
  • Online ISBN 978-3-319-01008-3
  • About this book