Adipokine levels in Cushing's syndrome; elevated resistin levels in female patients with Cushing's syndrome
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Cushing's syndrome (CS) is associated with central adiposity, insulin resistance and impaired glucose homeostasis. Adipose tissue is thought to regulates glucose homeostasis via circulating adipokines, such as resistin, leptin and adiponectin, although their role in the insulin resistance associated with CS has not been established. DESIGN: We examined the relationship between insulin resistance and adipokine levels in CS patients. We compared plasma levels of resistin, leptin and adiponectin in 10 women and four men patients with CS, with 14 health subjects matched for age, gender and body mass index. A subgroup of three women and four men with pituitary-dependent CS were re-examined at least 9 months after curative surgery. RESULTS: CS patients had significantly more truncal fat and less lean body mass as assessed by DEXA compared to control subjects. Total cholesterol, triglycerides and insulin resistance, as calculated using the homeostasis model assessment of insulin resistance (HOMA-R), was significantly increased in CS patients. Of the adipokines measured, only resistin was significantly different between female CS patients and female control subjects (5.05 +/- 0.56 vs. 2.91 +/- 0.39 micro g/l, P = 0.015). Curative surgery significantly reduced total body fat and truncal fat, leptin, total and low-density lipoprotein (LDL) cholesterol, glucose and HOMA-R. A reduction in both resistin and adiponectin was also observed but the differences between pre- and post-treatment levels did not achieve statistical significance. CONCLUSION: Here we report for the first time that resistin levels are significantly elevated in CS patients and may be important in the insulin resistance associated with glucocorticoid excess.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it