Interleukin‐15 Contributes to the Regulation of Murine Adipose Tissue and Human Adipocytes
Bibliographic record
Abstract
An alarming global rise in the prevalence of obesity and its contribution to the development of chronic diseases is a serious health concern. Recently, obesity has been described as a chronic low-grade inflammatory condition, influenced by both adipose tissue and immune cells suggesting proinflammatory cytokines may play a role in its etiology. Here we examined the effects of interleukin-15 (IL-15) on adipose tissue and its association with obesity. Over expression of IL-15 (IL-15tg) was associated with lean body condition whereas lack of IL-15 (IL-15(-/-)) results in significant increase in weight gain without altering appetite. Interestingly, there were no differences in proinflammatory cytokines such as IL-6 and tumor necrosis factor-alpha (TNF-alpha) in serum between the three strains of mice. In addition, there were significant numbers of natural killer (NK) cells in fat tissues from IL-15tg and B6 compared to IL-15(-/-) mice. IL-15 treatment results in significant weight loss in IL-15(-/-) knockout and diet-induced obese mice independent of food intake. Fat pad cross-sections show decreased pad size with over expression of IL-15 is due to adipocyte shrinkage. IL-15 induces weight loss without altering food consumption by affecting lipid deposition in adipocytes. Treatment of differentiated human adipocytes with recombinant human IL-15 protein resulted in decreased lipid deposition. In addition, obese patients had significantly lower serum IL-15 levels when compared to normal weight individuals. These results clearly suggest that IL-15 may be involved in adipose tissue regulation and linked to obesity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".