Vitamin D regulation of chemerin in human bone marrow adipogenesis
Bibliographic record
Abstract
Osteoporosis is a skeletal disorder characterized by low bone mass and deterioration of bone tissue that ultimately leads to an increase in susceptibility to fracture. One cause of bone loss in osteoporosis is a decrease in the number of bone forming osteoblasts. This can occur due to a shift in the differentiation of mesenchymal stem cells (MSCs) within the bone marrow to favour the formation of adipocytes at the expense of forming osteoblasts. Therefore, manipulation of MSC differentiation to favour osteoblast formation over adipocyte formation may offer a novel target for the treatment of osteoporosis. Recently, our laboratory identified chemerin as an adipokine that regulates adipogenesis by activation of chemokine like receptor‐1(CMKLR1). The purpose of this study was to characterize the expression of chemerin and CMKLR1 in human bone marrow MSC adipogenesis and to identify regulators of chemerin within bone. Results indicate that chemerin mRNA and protein expression are altered during adipogenesis. We have also demonstrated that treatment of adipocyte/osteoblast precursors with Vitamin D causes a significant induction in chemerin expression that is mediated through the Vitamin D receptor. These results suggest one mechanism whereby chemerin may be regulated to alter bone formation.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".