Regulation of <i>11β‐HSD</i> Genes in Human Adipose Tissue: Influence of Central Obesity and Weight Loss
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: The activity of adipose 11beta-hydroxysteroid dehydrogenase (11beta-HSD) 1 is increased in obese subjects, and animal data suggest that increased cortisol formation in adipose tissue contributes to the development of the metabolic syndrome. The aim of this study was to determine whether up-regulation of human adipose 11beta-HSD1 in obesity can also be found at the gene expression level. RESEARCH METHODS AND PROCEDURES: 11beta-HSD gene expression in subcutaneous adipose tissue biopsies of 70 postmenopausal women was studied by real-time reverse-transcription polymerase chain reaction. The influence of weight reduction and in vitro effects of several modulators of adipocyte gene expression on 11beta-HSD genes in human adipocytes were also studied. RESULTS: The 11beta-HSD1 gene was highly expressed in human adipose tissue. 11beta-HSD2 mRNA was also detectable at lower levels. Adipose 11beta-HSD1 gene expression was increased by two-fold and was positively correlated with waist circumference and homeostasis model assessment index of insulin resistance. 11beta-HSD2 gene expression was reduced by half in obese women. Weight reduction did not change gene expression levels of 11beta-HSD1 or 11beta-HSD2. Cortisol increased 11beta-HSD1 gene expression in isolated human adipocytes in vitro, whereas estradiol, triiodothyronine, angiotensin II, and pioglitazone had no influence. DISCUSSION: Our data suggest that increased expression of the 11beta-HSD1 gene is associated with metabolic abnormalities in obese women and that increased expression of this gene may contribute to the previously reported increased local conversion of cortisone to cortisol in adipose tissue of obese individuals.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it