Visceral Obesity and Plasma Glucose-Insulin Homeostasis: Contributions of Interleukin-6 and Tumor Necrosis Factor-α in Men
Bibliographic record
Abstract
OBJECTIVE: This study examined the relationships of two inflammatory cytokines, IL-6 and TNF-alpha, to visceral adiposity and indices of plasma glucose-insulin homeostasis. RESEARCH DESIGN AND METHODS: Plasma levels of IL-6 and TNF-alpha were measured in 189 untreated asymptomatic men (aged 43.7 +/- 7.8 yr; body mass index 29.0 +/- 4.3 kg/m(2); waist girth 98.6 +/- 10.3 cm). RESULTS: Significant and positive associations were found between both cytokines with adiposity and adipose tissue distribution indices (0.15 < or = r < 0.32; P < 0.05) as well as plasma glucose-insulin homeostasis variables (0.22 < or = r < 0.28; P <0.05). Comparison of two subgroups, each composed of 32 overweight men (> or =25 kg/m(2)) with similar body mass index values (28.7 kg/m(2) in both groups) but with markedly different levels of visceral adipose tissue (< vs. > or = 130 cm(2)), revealed significant differences only for IL-6 levels (1.42 +/- 1.15 vs. 0.86 +/- 0.52 pg/ml; P < 0.02 for men with high vs. low visceral adipose tissue, respectively). Finally, when subjects were stratified on the basis of their respective concentrations of IL-6 and TNF-alpha (using the 50th percentile of their overall distribution), an ANOVA revealed an independent contribution of IL-6 to the variation of fasting insulin (P < 0.01) and each of these two cytokines to the variation of insulin levels measured after a 75-g oral glucose challenge (P <0.01 for IL-6 and P < 0.05 for TNF-alpha). CONCLUSIONS: Because IL-6 appeared to be clearly associated with visceral adiposity, TNF-alpha rather showed associations with indices of total body fatness. Thus, TNF-alpha may contribute to the insulin resistance of overall obesity, whereas IL-6 may be one of the mediators of the hyperinsulinemic state specifically related to excess 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 | 0.003 |
| 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 | 0.001 |
| 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 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".