Increased plasma interleukin-1 receptor antagonist levels in men with visceral obesity
Bibliographic record
Abstract
BACKGROUND: Adipose tissue (AT) is an important source of interleukin-1 receptor antagonist (IL-1Ra). Its expression is markedly increased in obesity. AIMS AND METHODS: To quantify the associations of IL-1Ra with body fat distribution as well as to examine the respective contributions of IL-1Ra and visceral adiposity to the variation in some cardiometabolic risk (CMR) markers. Plasma IL-1Ra levels were measured in a sample of 117 healthy non-diabetic men (age: 44.9+/-10.1 years; body mass index (BMI): 28.8+/-4.5 kg/m(2)). RESULTS: Plasma IL-1Ra levels correlated positively with BMI, waist girth, and visceral and subcutaneous AT (0.39 < or = r<0.48; P < 0.0001). Multiple regression analyses revealed that visceral AT was the best independent predictor of IL-1Ra levels, explaining 22% (P < 0.0001) of its variance. IL-1Ra (P < 0.05) was an independent predictor of several CMR markers including triglyceride and high-density lipoprotein (HDL) cholesterol levels, cholesterol/HDL cholesterol ratio, glucose and insulin concentrations in response to a 75 g oral glucose load, and fasting insulin levels, in addition to the expected contribution of visceral AT (P < 0.05). CONCLUSIONS: These results suggest that elevated IL-1Ra concentrations are influenced to a greater extent by visceral than subcutaneous adiposity and that IL-1Ra is independently related to some features of CMR beyond the known contribution of visceral adiposity.
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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 | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".