SAT-740 Plasma Glucocorticoids and Mineralocorticoids Are Associated to Metabolic Syndrome Features in Women
Bibliographic record
Abstract
Abstract Background: Excess visceral adipose tissue accumulation on anatomical structures such as the greater omentum and mesentery are strong predictors of obesity-associated comorbidities (1). High glucocorticoid levels have been associated with body fat distribution and preferential visceral fat accumulation as well as features of the metabolic syndrome (MetS) (2). These effects are thought to be mediated by the glucocorticoid receptor, a nuclear receptor showing affinity for both glucocorticoids and mineralocorticoids. In this study, we examined plasma concentrations of glucocorticoids and mineralocorticoids in women with or without the MetS. In addition, we assessed the ability of these steroids to predict fat accumulation and features of the MetS. Methods: In a sample of 49 women (age 47 ± 4.99 years; BMI 26.4 ± 4.70 kg/m2), plasma concentrations of cortisol, 11-deoxycortisol, cortisone, aldosterone, corticosterone and 11-deoxycorticosterone were analyzed by electrospray ionization-liquid chromatography-tandem mass spectroscopy (ESI-LC-MS/MS). Metabolic parameters were assessed to establish the presence of the MetS using NCEP-III criteria. Subcutaneous and visceral adipocyte cell size was measured by histomorphometry. Results: We found HDL-triglycerides to be positively associated with levels of 11-deoxycorticosterone, 11-deoxycortisol, corticosterone, cortisone and cortisol (p<0.05 for all). 11-deoxycorticosterone concentration was also negatively associated with waist circumference (-0.294, p<0.05), LDL-cholesterol and LDL-triglyceride content (-0.264 and -0.362, p<0.05) whereas cortisone level was positively associated with fasting glucose (0.3, p<0.05). Our model including mineralocorticoids predicted systolic blood pressure (R2=0.303), while the one including glucocorticoids predicted HDL-cholesterol (R2=0.495). In addition, as expected, we found that women with the MetS were characterized by significantly higher percentage body fat and displayed subcutaneous and visceral adipocyte hypertrophy (p<0.05). Interestingly, women with the MetS also showed a trend for lower plasma cortisol concentrations (p=0.07). Conclusion: Our data suggest that glucocorticoids and mineralocorticoids are associated with individual components of the MetS in women. (1) Tchernof et al.(2013), Physiol Rev, 93(1); (2) Constantinopoulos et al., (2015), Eur J Endocrinol, 172(1)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".