Title |
Assessment of brown adipose tissue function
|
---|---|
Published in |
Frontiers in Physiology, January 2013
|
DOI | 10.3389/fphys.2013.00128 |
Pubmed ID | |
Authors |
Sam Virtue, Antonio Vidal-Puig |
Abstract |
In this review we discuss practical considerations for the assessment of brown adipose tissue in rodent models, focusing on mice. The central aim of the review is to provide a critical appraisal of the utility of specialized techniques for assessing brown adipose tissue function in vivo. We cover several of the most common specialized methods for analysing brown adipose tissue function in vivo, including assessment of maximal thermogenic capacity by indirect calorimetry and the measurement of sympathetic tone to brown adipose tissue. While these techniques are powerful, they are not readily available to all laboratories; therefore we also cover several simple measurements that, particularly in combination, can be used to determine if a mouse model is likely to have alterations in brown adipose tissue function. Such techniques include: pair feeding, analysis of brown adipose tissue lipid content and mRNA and protein markers of brown adipose tissue activation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Switzerland | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
Canada | 1 | <1% |
Unknown | 148 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 34 | 22% |
Researcher | 30 | 20% |
Student > Bachelor | 20 | 13% |
Student > Master | 13 | 8% |
Student > Doctoral Student | 7 | 5% |
Other | 24 | 16% |
Unknown | 25 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 39 | 25% |
Biochemistry, Genetics and Molecular Biology | 32 | 21% |
Medicine and Dentistry | 22 | 14% |
Neuroscience | 5 | 3% |
Chemistry | 5 | 3% |
Other | 21 | 14% |
Unknown | 29 | 19% |