Changes in adipokine expression during food deprivation in the mouse and the relationship to fasting-induced insulin resistance
Bibliographic record
Abstract
We investigated the changes in insulin resistance and adipose tissue expression of the adipokines resistin, adiponectin, and leptin and the transcription factors peroxisome proliferator-activated receptor-gamma (PPAR-gamma) and retinoid X receptor-alpha (RXR-alpha) during 48 h of food deprivation. Insulin sensitivity (SI) declined, whereas glucose effectiveness (SG) increased. Plasma adiponectin levels declined in the first 8 h and remained constant thereafter. There was no correlation between either SI or SG and adiponectin protein or mRNA levels. PPAR-gamma mRNA abundance remained constant, whereas leptin and resistin mRNAs and plasma leptin declined and RXR-alpha mRNA abundance increased in both white and brown fat. Leptin mRNA abundance was closely correlated with SI (R2 = 0.91 and 0.87 for white and brown fat, respectively). Resistin mRNA abundance correlated inversely with SG (R2 = 0.99 and 0.84 for white and brown fat, respectively). These data indicate that changes in the expression of leptin are more closely correlated with the insulin resistance of fasting than with changes in other adipokines or RXR-alpha and PPAR-gamma expression.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".