Chapter title |
Mathematical modeling of the human energy metabolism based on the selfish brain theory.
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Chapter number | 25 |
Book title |
Advances in Systems Biology
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Published in |
Advances in experimental medicine and biology, December 2011
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DOI | 10.1007/978-1-4419-7210-1_25 |
Pubmed ID | |
Book ISBNs |
978-1-4419-7209-5, 978-1-4419-7210-1
|
Authors |
Chung M, Göbel B, Matthias Chung, Britta Göbel, Chung, Matthias, Göbel, Britta |
Abstract |
Deregulations in the human energy metabolism may cause diseases such as obesity and type 2 diabetes mellitus. The origins of these pathologies are fairly unknown. The key role of the brain is the regulation of the complex whole body energy metabolism. The Selfish Brain Theory identifies the priority of brain energy supply in the competition for available energy resources within the organism. Here, we review mathematical models of the human energy metabolism supporting central aspects of the Selfish Brain Theory. First, we present a dynamical system modeling the whole body energy metabolism. This model takes into account the two central control mechanisms of the brain, i.e., allocation and appetite. Moreover, we present mathematical models of regulatory subsystems. We examine a neuronal model which specifies potential elements of the brain to sense and regulate cerebral energy content. We investigate a model of the HPA system regulating the allocation of energy within the organism. Finally, we present a robust modeling approach of appetite regulation. All models account for a systemic understanding of the human energy metabolism and thus do shed light onto defects causing metabolic diseases. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 4 | 33% |
Professor > Associate Professor | 2 | 17% |
Student > Ph. D. Student | 2 | 17% |
Student > Doctoral Student | 1 | 8% |
Student > Bachelor | 1 | 8% |
Other | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 42% |
Mathematics | 2 | 17% |
Agricultural and Biological Sciences | 2 | 17% |
Immunology and Microbiology | 1 | 8% |
Social Sciences | 1 | 8% |
Other | 1 | 8% |