Thigh intermuscular fat is inversely associated with spontaneous GH release in post-menopausal women with abdominal obesity
Bibliographic record
Abstract
CONTEXT: The metabolic syndrome is characterized by an increased accumulation of visceral adipose tissue (VAT) and blunted GH secretion. There are, however, no data on the association between GH secretion and other fat depots (in liver and muscle). OBJECTIVE/DESIGN: The aim of this cross-sectional study, which included 20 post-menopausal women with abdominal obesity, was to determine the association between GH secretion and regional adipose tissue (AT) distribution. Twelve-hour GH profiles (2000-0800 h) were performed by blood sampling every 20 min. GH was analyzed using an ultra-sensitive assay followed by approximate entropy (ApEn) and deconvolution analysis. RESULTS: In simple regression analyses, both basal and pulsatile GH secretions correlated negatively with VAT and thigh intermuscular adipose tissue (IMAT), but not with hepatic fat content. There was no correlation between ApEn and the AT depots studied. In multiple regression analysis, pulsatile GH secretion correlated inversely with thigh IMAT (B-coefficient=-0.67; P<0.01), whereas the correlation with VAT became non-significant. Furthermore, in multiple regression analysis, basal GH secretion correlated negatively with VAT (B-coefficient=-0.77; P=0.001), but not significantly with thigh IMAT. CONCLUSION: In post-menopausal women with abdominal obesity, pulsatile GH secretion demonstrated an independent, negative association with thigh IMAT, whereas basal GH secretion showed an independent, negative association with VAT. These findings suggest that the neuroendocrine association between fat mass and somatotropic axis is depot-dependent. We have identified thigh IMAT to be important in this interplay.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".