Adipose Tissue and Circulating Endothelial Cell Specific Molecule-1 in Human Obesity
Bibliographic record
Abstract
Adipocytes produce the endothelial-cell specific molecule-1 (ESM-1), which inhibits leukocyte adhesion and migration through the endothelium. This study investigates ESM-1 expression and regulation in human adipose tissue. Subcutaneous abdominal adipose tissue was obtained from seventy postmenopausal women. Fourteen women subsequently underwent non-pharmacological weight reduction. In vitro experiments were performed on adipocytes isolated from human mammary adipose tissue. We determined gene expression by TaqMan RT-PCR and measured ESM-1 levels in serum and cell culture medium by ELISA. Mature adipocytes produced ESM-1. ESM-1 gene expression was higher in adipocytes than in preadipocytes. Cortisol inhibited ESM-1 gene expression in preadipocytes. Insulin and cortisol inhibited adipocyte ESM-1 production in adipocytes. This inhibitory effect of insulin was attenuated by insulin resistance, as ESM-1 gene expression in subcutaneous adipose tissue was increased in obese, hyperinsulinemic women. In contrast, ESM-1 serum levels were reduced in obese women and inversely correlated to C-reactive protein levels. Five percent weight loss did not markedly change gene expression. Circulating ESM-1 levels increased significantly, albeit modestly. ESM-1 is actively produced by adipocytes. However, since ESM-1 adipocyte gene expression and circulating plasma levels are not correlated, other sources of ESM-1 may be more important. Circulating ESM-1 levels are reduced in the overweight and obese, consistent with the notion that ESM-1 may play some role in obesity-associated vascular disease.
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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".