| Title |
Endothelial Notch1 signaling in white adipose tissue promotes cancer cachexia
|
|---|---|
| Published in |
Nature Cancer, September 2023
|
| DOI | 10.1038/s43018-023-00622-y |
| Pubmed ID | |
| Authors |
Jacqueline Taylor, Leonie Uhl, Iris Moll, Sana Safatul Hasan, Lena Wiedmann, Jakob Morgenstern, Benedetto Daniele Giaimo, Tobias Friedrich, Elisenda Alsina-Sanchis, Francesca De Angelis Rigotti, Ronja Mülfarth, Sarah Kaltenbach, Darius Schenk, Felix Nickel, Thomas Fleming, David Sprinzak, Carolin Mogler, Thomas Korff, Adrian T. Billeter, Beat P. Müller-Stich, Mauricio Berriel Diaz, Tilman Borggrefe, Stephan Herzig, Maria Rohm, Juan Rodriguez-Vita, Andreas Fischer |
| Abstract |
Cachexia is a major cause of morbidity and mortality in individuals with cancer and is characterized by weight loss due to adipose and muscle tissue wasting. Hallmarks of white adipose tissue (WAT) remodeling, which often precedes weight loss, are impaired lipid storage, inflammation and eventually fibrosis. Tissue wasting occurs in response to tumor-secreted factors. Considering that the continuous endothelium in WAT is the first line of contact with circulating factors, we postulated whether the endothelium itself may orchestrate tissue remodeling. Here, we show using human and mouse cancer models that during precachexia, tumors overactivate Notch1 signaling in distant WAT endothelium. Sustained endothelial Notch1 signaling induces a WAT wasting phenotype in male mice through excessive retinoic acid production. Pharmacological blockade of retinoic acid signaling was sufficient to inhibit WAT wasting in a mouse cancer cachexia model. This demonstrates that cancer manipulates the endothelium at distant sites to mediate WAT wasting by altering angiocrine signals. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 15 | 17% |
| United States | 10 | 11% |
| Germany | 10 | 11% |
| Canada | 6 | 7% |
| France | 4 | 4% |
| United Kingdom | 2 | 2% |
| Australia | 2 | 2% |
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| Other | 7 | 8% |
| Unknown | 30 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 52 | 58% |
| Scientists | 33 | 37% |
| Practitioners (doctors, other healthcare professionals) | 4 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 15% |
| Student > Bachelor | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Professor | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 26 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
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| Medicine and Dentistry | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 25 | 53% |