Sarcolipin knockout mice fed a high‐fat diet exhibit altered indices of adipose tissue inflammation and remodeling
Bibliographic record
Abstract
OBJECTIVE: To investigate indices of adipose tissue inflammation and remodeling in high-fat diet (HFD) sarcolipin-knockout (SLN(-) (/-) ) mice. SLN regulates muscle-based nonshivering thermogenesis and is up-regulated with HFD. SLN(-) (/-) mice develop greater diet-induced obesity and glucose intolerance. This is accompanied by increases in circulating catecholamines and fatty acids. Catecholamines and fatty acids play a role in the pathology of adipose tissue inflammation. METHODS: Male mice (wild type and SLN(-) (/-) ) were fed a HFD (42% kcal from fat) for 8 weeks. RESULTS: SLN(-) (/-) mice displayed greater obesity and glucose intolerance. This was accompanied by higher circulating epinephrine and nonesterified fatty acids. Epididymal but not inguinal subcutaneous adipose tissue from SLN(-) (/-) mice displayed higher interleukin-6, suppressor of cytokine signaling 3, interleukin-1β, and tumor necrosis factor-α mRNA expression, and this was associated with increased markers of macrophage infiltration (F4/80 expression and crown-like structures) and M1 polarization (higher CD11c expression and CD11c/MGL1). Interestingly, this occurred despite SLN(-) (/-) mice having smaller adipocytes. CONCLUSIONS: In conditions of nutrient excess, SLN(-) (/-) mice display depot-specific increases in indices of adipose tissue inflammation and remodeling. This could be a compensatory response to reductions in muscle-based thermogenesis.
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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) | 0.000 | 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".