Interleukin‐15 treatment improves glucose homeostasis and insulin sensitivity in obese mice
Bibliographic record
Abstract
The prevalence of metabolic diseases associated with obesity, such as type 2 diabetes, continues to rise along with obesity rates. Recently, obesity has been described as an inflammatory condition, suggesting a link between the dysregulation in proinflammatory cytokine production and the aetiology of these metabolic diseases. While known as an immunomodulatory cytokine, Interleukin-15 (IL-15) has been shown to have effects on adipose tissue and induce weight loss in diet-induced obese mice. As weight loss improves glucose homeostasis, the goal of this study was to determine whether IL-15 impacts glucose regulation in a mouse model of diet-induced obesity. Our data demonstrate that IL-15 treatment significantly improves insulin sensitivity and glucose and insulin responses to an oral glucose challenge compared to obese counterparts and/or lean controls. These results show that IL-15 may be a novel therapeutic target for the treatment of obesity and its associated abnormal glucose regulation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".