Type 2 innate lymphoid cells (ILC2s) regulate the proliferation of preadipocytes that give rise to beige adipocytes. Whether and how ILC2 downstream Th2 cytokines control beige adipogenesis remain unclear. We used cell systems and genetic models to examine the mechanism through which IL-13, an ILC2-derived Th2 cytokine, controls beige adipocyte differentiation. IL-13 priming in preadipocytes drove beige adipogenesis by upregulating beige-promoting metabolic programs, including mitochondrial oxidative metabolism and PPARγ-related pathways. The latter was mediated by increased expression and activity of PPARγ through the IL-13 receptor 1 (IL-13R1) downstream effectors STAT6 and p38 MAPK, respectively. Il13-KO or preadipocyte Il13ra1-KO mice were refractory to cold- or β3-adrenergic agonist–induced beiging in inguinal white adipose tissue, whereas Il4-KO mice showed no defects in beige adipogenesis. Il13-KO and Il13ra1-KO mouse models exhibited increased body weight and fat mass and dysregulated glucose metabolism but had a mild cold-intolerant phenotype, likely due to their intact brown adipocyte recruitment. We also found that genetic variants of human IL13RA1 were associated with BMI and type 2 diabetes. These results suggest that IL-13 signaling–regulated beige adipocyte function may play a predominant role in modulating metabolic homeostasis rather than in thermoregulation.
Alexandra R. Yesian, Mayer M. Chalom, Nelson H. Knudsen, Alec L. Hyde, Jean Personnaz, Hyunjii Cho, Yae-Huei Liou, Kyle A. Starost, Chia-Wei Lee, Dong-Yan Tsai, Hsing-Wei Ho, Jr-Shiuan Lin, Jun Li, Frank B. Hu, Alexander S. Banks, Chih-Hao Lee
Usage data is cumulative from April 2025 through August 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 2,914 | 99 |
699 | 35 | |
Figure | 455 | 0 |
Supplemental data | 436 | 6 |
Citation downloads | 141 | 0 |
Totals | 4,645 | 140 |
Total Views | 4,785 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.