Endothelial Cell Specific Molecule-1 - A Newly Identified Protein in Adipocytes
Bibliographic record
Abstract
Expression of the endothelial cell-specific molecule (ESM)-1 was originally identified in lung and kidney endothelial cells, where its expression is regulated by cytokines. In vitro, ESM-1 interferes with the molecular mechanisms of immune cell migration by binding to adhesion molecules. In this study, we have explored the expression of ESM-1 in isolated human adipocytes and in rat adipose tissue depots. Human primary adipocytes were cultivated after collagenase digestion and used for in vitro incubation studies. Adipocytes were also isolated from different fat depots of Sprague-Dawley rats. Gene expression was quantified by TaqMan RT-PCR using specific human and rat ESM-1 primers. The cellular localisation of ESM-1 was determined by confocal microscopy using a specific antibody. ESM-1 expression in human adipocytes was stimulated by phorbol ester, an activator of protein kinase C, and by retinoic acid, an activator of nuclear receptors. The maximum increase in gene expression was 3.2-fold after 72 h treatment with phorbol ester and 4.6-fold after 72 h treatment with retinoic acid. The highest expression was found in subcutaneous rat adipose tissue - two-fold compared to epididymal and six-fold compared to intrascapular brown adipose tissue. As obesity is related to systemic inflammation (examplified by increased circulating levels of C-reactive protein and interleukin-6), the formation of ESM-1 in adipocytes and its activation by protein kinase C may play a role in the regulation of inflammatory processes.
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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) | 0.001 | 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".