G protein‐coupled receptor‐1 is an active signaling receptor for the adipokine chemerin
Bibliographic record
Abstract
BACKGROUND Chemerin, is an adipose‐derived signaling protein (adipokine) that regulates adipocyte differentiation and metabolism through activation of chemokine‐like receptor‐1 (CMKLR1). Chemerin also binds to G protein‐coupled receptor 1 (GPR1), suggesting that this protein may be a second chemerin signaling receptor. OBJECTIVE To investigate differential signaling and expression of chemerin receptors METHODS Receptor signaling and tissue expression were assessed using a panel of in vitro luciferase‐ reporters and quantitative PCR, respectively. RESULTS GPR1 and CMKLR1 exhibit unique expression profiles which converge with the highest levels of each observed in white adipose tissue (WAT). CMKLR1 is highest in lipid‐filled adipocytes, while GPR1 expression predominates in the WAT stromal vascular fraction. Unlike CMKLR1, chemerin activation of GPR1 does not induce MAPK signaling, but does exhibit higher potency for arrestin recruitment. In common, chemerin activation of both CMKLR1 and GPR1 enhances serum‐response factor (SRF) – mediated gene transcription via a RhoA dependent pathway. CONCLUSIONS These results demonstrate that GPR1 is an active chemerin receptor and identify RhoA/SRF as a novel chemerin signaling axis. Differential receptor expression suggests that GPR1 may play a distinct role in chemerin function in WAT. Supported by CIHR & Killam Trusts
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".