| Title |
A muscle-liver-fat signalling axis is essential for central control of adaptive adipose remodelling
|
|---|---|
| Published in |
Nature Communications, April 2015
|
| DOI | 10.1038/ncomms7693 |
| Pubmed ID | |
| Authors | |
| Abstract |
Skeletal muscle has a pleiotropic role in organismal energy metabolism, for example, by storing protein as an energy source, or by excreting endocrine hormones. Muscle proteolysis is tightly controlled by the hypothalamus-pituitary-adrenal signalling axis via a glucocorticoid-driven transcriptional programme. Here we unravel the physiological significance of this catabolic process using skeletal muscle-specific glucocorticoid receptor (GR) knockout (GRmKO) mice. These mice have increased muscle mass but smaller adipose tissues. Metabolically, GRmKO mice show a drastic shift of energy utilization and storage in muscle, liver and adipose tissues. We demonstrate that the resulting depletion of plasma alanine serves as a cue to increase plasma levels of fibroblast growth factor 21 (FGF21) and activates liver-fat communication, leading to the activation of lipolytic genes in adipose tissues. We propose that this skeletal muscle-liver-fat signalling axis may serve as a target for the development of therapies against various metabolic diseases, including obesity. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| Canada | 1 | 13% |
| Australia | 1 | 13% |
| Japan | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Japan | 2 | 1% |
| Mexico | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 145 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 18% |
| Researcher | 27 | 18% |
| Student > Bachelor | 14 | 9% |
| Student > Master | 13 | 9% |
| Student > Doctoral Student | 8 | 5% |
| Other | 29 | 19% |
| Unknown | 33 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 38 | 25% |
| Agricultural and Biological Sciences | 34 | 23% |
| Medicine and Dentistry | 18 | 12% |
| Neuroscience | 6 | 4% |
| Engineering | 4 | 3% |
| Other | 12 | 8% |
| Unknown | 39 | 26% |