Analysis of complex diseases : a mathematical perspective / Guanyu Wang.

Includes bibliographical references and index.

Part I: Organismal level: what is required
Chapter 1. Food intake and energy metabolism --
Chapter 2. Glucose homeostasis --
Chapter 3. Optimal glucose homeostasis --
Chapter 4. Bistability as a fundamental phenomenon --

Part II: Molecular level: what can be provided?
Chapter 5. Molecular Biology --
Chapter 6. Biomolecular Network--
Chapter 7. P13K-AKT-TOR pathway --

Part III Mathematical analysis of complex diseases
Chapter 8. Diseases related to metabolism --
Chapter 9. Mathematical modeling of the P13K-AKT-TOR Pathway --
Chapter 10. Fundamental decomposition --
Chapter 11. Normal phenotype --
Chapter 12.Chapter Disease phenotypes --
Chapter 13. Tao of diseases--

Appendix--
References--
Index.

This book is divided into three parts. Part I focuses on the organismal level to describe normal physiology and how the body as a whole meets its functional requirements. Part II addresses the subcellular, molecular level to elucidate the organizing principles of cellular biomolecules to meet the demands of the organism. Part III examines complex diseases by combining information from the organismal level and the molecular level, offering a paradigm that can be extended to the study of other categories of diseases.
A complex disease involves many etiological and risk factors operating at multiple levels—molecular, cellular, organismal, and environmental. The incidence of such diseases as cancer, obesity, and diabetes are increasing in occurrence, urging us to think fundamentally and use a broader perspective to identify their connection and revolutionize treatments. The understanding of biological data derived from studying diseases can be enhanced by theories and mathematical models, which clarify the big picture and help to reveal the overarching mechanisms that govern complex biological phenomena.