44-OR: PAR2-Regulated MIF Secretion from Non-Immune Cells in Adipose Tissue Is a Key Mechanism Involved in the Development of Metabolic Dysfunction
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Bibliographic record
Abstract
Macrophage migration inhibitory factor (MIF) is a cytokine that is increased in obesity and contributes to metabolic dysfunction. Our present study describes a novel mechanism by which fatty acids activate non-immune cells to increase MIF secretion in adipose tissue, initiating cross-talk between preadipocytes and adipocytes. High fatty acids specifically induce protease-activated receptor 2 (PAR2) activation in preadipocytes, which downregulates pref-1 expression and release. Preadipocyte factor 1 (Pref-1) has an autocrine-paracrine action to inhibit the release of MIF from both preadipocytes and adipocytes. Thus, the loss of Pref-1 secretion during high fat feeding is responsible in part for both increased MIF secretion in adipose tissue and the rise in plasma MIF levels that ensues. The physiological consequences are most evident in adipose tissue. Genetic deletion of Par2 confirms the importance of this mechanism in mice, protecting against high fat diet-induced metabolic dysfunction. Importantly, this novel mechanism is also operative in adipose tissue from obese human subjects. These results provide the scientific rationale to consider whether strategies to either block Par2 expression or augment Pref-1 secretion might improve metabolic health in obesity or type 2 diabetes. Disclosure Y. Huang: None. L. Chen: None. Y. Qi: None. D. Qi: None.
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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 it