Chapter title |
Neural Control of Energy Expenditure.
|
---|---|
Chapter number | 33 |
Book title |
Metabolic Control
|
Published in |
Handbook of experimental pharmacology, November 2015
|
DOI | 10.1007/164_2015_33 |
Pubmed ID | |
Book ISBNs |
978-3-31-929804-7, 978-3-31-929806-1
|
Authors |
Münzberg, Heike, Qualls-Creekmore, Emily, Berthoud, Hans-Rudolf, Morrison, Christopher D, Yu, Sangho, Heike Münzberg, Emily Qualls-Creekmore, Hans-Rudolf Berthoud, Christopher D. Morrison, Sangho Yu |
Editors |
Stephan Herzig |
Abstract |
The continuous rise in obesity is a major concern for future healthcare management. Many strategies to control body weight focus on a permanent modification of food intake with limited success in the long term. Metabolism or energy expenditure is the other side of the coin for the regulation of body weight, and strategies to enhance energy expenditure are a current focus for obesity treatment, especially since the (re)-discovery of the energy depleting brown adipose tissue in adult humans. Conversely, several human illnesses like neurodegenerative diseases, cancer, or autoimmune deficiency syndrome suffer from increased energy expenditure and severe weight loss. Thus, strategies to modulate energy expenditure to target weight gain or loss would improve life expectancies and quality of life in many human patients. The aim of this book chapter is to give an overview of our current understanding and recent progress in energy expenditure control with specific emphasis on central control mechanisms. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Austria | 1 | 1% |
Unknown | 70 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 14 | 20% |
Student > Master | 11 | 15% |
Student > Ph. D. Student | 9 | 13% |
Researcher | 7 | 10% |
Student > Doctoral Student | 7 | 10% |
Other | 9 | 13% |
Unknown | 14 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 13 | 18% |
Medicine and Dentistry | 11 | 15% |
Agricultural and Biological Sciences | 9 | 13% |
Neuroscience | 7 | 10% |
Nursing and Health Professions | 4 | 6% |
Other | 11 | 15% |
Unknown | 16 | 23% |