Peroxisome Proliferator-Activated Receptor γ Agonism Increases the Capacity for Sympathetically Mediated Thermogenesis in Lean and<i>ob/ob</i>Mice
Bibliographic record
Abstract
The nuclear receptor peroxisome proliferator-activated receptor (PPAR)gamma modulates the expression of numerous genes involved in glucose and lipid homeostasis and plays a critical role in adipocyte differentiation. Expression of uncoupling protein (UCP)1, which is necessary for thermogenesis, is strongly stimulated by PPARgamma agonists but without an increase in energy expenditure. This study was designed to assess whether PPARgamma-induced UCP1 has any functional impact and, if so, whether it involves sympathetic activity. In a first phase, obese ob/ob C57BL/6J mice and lean controls were treated for 2 wk with the PPARgamma agonist [2-(2-[4-phenoxy-2-propylphenoxy]ethyl)indole-5-acetic acid] (COOH). COOH induced UCP1 expression in brown and white adipose tissues as well as that of other genes associated with substrate oxidation and thermogenesis. However, UCP1 induction did not increase energy expenditure, as assessed by indirect calorimetry and other energy balance measurements. In a second phase, mice received for an additional 2 wk a combination of COOH and the beta(3)-adrenergic receptor (beta(3)-AR) agonist CL-316243 to stimulate the adrenergic signaling pathway and assess whether COOH-induced UCP1 was physiologically functional. The beta(3)-AR agonist stimulated thermogenesis in lean and ob/ob mice, an effect that was much stronger in COOH-pretreated mice, which exhibited lower respiratory quotient, higher oxygen consumption, and marked weight and fat mass loss, compared with mice not pretreated with COOH. These results demonstrate that PPARgamma agonism increases the thermogenic potential of white and brown adipose depots in lean and obese mice. This enhanced capacity leads to increased thermogenesis under beta-adrenergic stimulation, suggesting that the sympathetic drive is blunted by PPARgamma agonism.
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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 | 0.001 |
| 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".