Diabetes Systems Biology provides senior undergraduate students and junior scientists, interested in diabetes systems biology, with a tool to learn more about the mathematical models and methods used to understand macroscopically and microscopically beta-cell behaviour in health and disease. The book introduces readers to the quantitative methods used to examine beta-cell dynamics, islet biology and architecture, as well as diabetes etiology and implications. The goal is to allow junior researchers in the fields of mathematical biology and biophysics to obtain a broad understanding of these quantitative methods, and guide them into taking the first steps into the field of diabetes systems biology. At the end of each chapter, several problem-solving exercises (that require both analytical and computational skills) are provided for the readers to help them become more proficient in this field.
Key Features
- Comprehensive overview of all relevant aspects of diabetes systems biology and biological mathematical modelling
- Covers quantitative aspects of this discipline with embedded examples
- Features contributions from world-class researchers in the field
- Provides extensive references for further reading
- Includes problem solving exercises at the end of each chapter
Tabla de materias
1 Introduction
Part I Beta-cell function
2 An introduction to beta cell electrophysiology and modeling
3 Recent advances in mathematical modeling and statistical analysis of exocytosis in endocrine cells
Part II Modeling islet biology
4 Islet architecture
5 Intra-islet network
6 The role of islet cell network in insulin secretion
Part III Insulin release in health and disease
7 Insulin release in health and disease
Part IV Autoimmune type 1 diabetes
8 Applying systems biology to the genetics of age-of-onset dependent heterogeneity in type 1 diabetes
9 Immune-cell dynamics in T1D
Part V Diabetes implications on kidneys
10 Diabetes implications on kidneys
Sobre el autor
Anmar Khadra is an associate professor in the Department of Physiology and associate member of the Department of Physics and Department of Mathematics and Statistics at Mc Gill University, Montreal, Canada. He is the co-director of the Centre for Applied Mathematics in Bioscience and Medicine at the university.
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