Title |
Activation of IRF1 in Human Adipocytes Leads to Phenotypes Associated with Metabolic Disease
|
---|---|
Published in |
Stem Cell Reports, April 2017
|
DOI | 10.1016/j.stemcr.2017.03.014 |
Pubmed ID | |
Authors |
Max Friesen, Raymond Camahort, Youn-Kyoung Lee, Fang Xia, Robert E. Gerszten, Eugene P. Rhee, Rahul C. Deo, Chad A. Cowan |
Abstract |
The striking rise of obesity-related metabolic disorders has focused attention on adipocytes as critical mediators of disease phenotypes. To better understand the role played by excess adipose in metabolic dysfunction it is crucial to decipher the transcriptional underpinnings of the low-grade adipose inflammation characteristic of diseases such as type 2 diabetes. Through employing a comparative transcriptomics approach, we identified IRF1 as differentially regulated between primary and in vitro-derived genetically matched adipocytes. This suggests a role as a mediator of adipocyte inflammatory phenotypes, similar to its function in other tissues. Utilizing adipose-derived mesenchymal progenitors we subsequently demonstrated that expression of IRF1 in adipocytes indeed contributes to upregulation of inflammatory processes, both in vitro and in vivo. This highlights IRF1's relevance to obesity-related inflammation and the resultant metabolic dysregulation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 29% |
France | 1 | 14% |
Venezuela, Bolivarian Republic of | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Scientists | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
United States | 1 | 4% |
Unknown | 21 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 26% |
Student > Bachelor | 6 | 26% |
Student > Master | 3 | 13% |
Unspecified | 2 | 9% |
Researcher | 2 | 9% |
Other | 2 | 9% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 30% |
Agricultural and Biological Sciences | 6 | 26% |
Medicine and Dentistry | 3 | 13% |
Unspecified | 2 | 9% |
Computer Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 3 | 13% |