Correlation between glucocorticoid receptor binding parameters, blood pressure, and body mass index in a healthy human population
Bibliographic record
Abstract
Correlation between the glucocorticoid receptor (GR) number and affinity for the ligand, as well as the relationship between these equilibrium binding parameters and body mass index, blood pressure, and age were examined in peripheral blood mononuclear cells (PBMC) of healthy human subjects. It was found that the only statistically significant correlation was that between the GR number per cell and equilibrium dissociation constant, K(d) (r = 0.84, p < 0.0001). This observation implies the existence of a compensatory mechanism providing for lower GR affinity in individuals that have more receptor sites in circulating mononuclear cells and vice versa. This compensatory phenomenon together with considerable interindividual variation (GR number per cell ranging from 1391 to 15133, CV = 58.62%; and K(d) from 2.5 to 98.6 nM, CV = 80.87%), reflects plasticity of the glucocorticoid system. The results pose the question of whether this compensatory mechanism observed in healthy human subjects persists in pathophysiological states associated with glucocorticoid hormone actions and suggest that tissue sensitivity to glucocorticoids could be better predicted by the sign and magnitude of the correlation between the two receptor equilibrium binding parameters than by each of them separately.
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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) | 0.000 | 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 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".