TNFα enhances the expression and secretion of chemerin from adipocytes
Bibliographic record
Abstract
We recently identified a novel adipokine, chemerin that regulates adipogenesis and adipose metabolism via the chemokine‐like receptor 1 (CMKLR1). In humans, serum chemerin levels modestly correlate with measures of body fat and markers of metabolic syndrome suggesting a potential role for chemerin in obesity related diseases. The object of our study was to examine the regulation of chemerin secretion in models of obesity and inflammation. In 12 to 14‐week‐old ob/ob obese mice, serum chemerin levels but not adipocyte expression of chemerin were elevated 2‐fold. In comparison, CMKLR1 expression in adipocytes of ob/ob mice was reduced 70 % compared to controls. In 3T3‐L1 adipocytes, TNFα treatment produced a dose‐ and time‐dependent induction of chemerin and inhibition of CMKLR1 expression and stimulated the secretion of biologically active chemerin from 3T3‐L1 adipocytes. We conclude that serum chemerin levels are elevated in a mouse model of obesity, which may arise from TNFα‐mediated secretion of chemerin from adipocytes. However, chemerin/CMKLR1 signaling in adipocytes may be blunted in obesity due to reduced expression of CMKLR1. Funding: NSHRF, CIHR, DMRF, DPEF .
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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 | 0.000 | 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 | 0.001 |
| 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".