Elevated visfatin levels in overweight and obese children and adolescents with metabolic syndrome
Bibliographic record
Abstract
OBJECTIVE: Adipokines have been implicated in the pathogenesis of metabolic syndrome (MetS) and insulin resistance. We investigated the association between these conditions and serum levels of visfatin, adiponectin and leptin. MATERIAL AND METHODS: 175 overweight and obese boys and girls aged 3-17 years. MetS was defined as presence of at least three of the following: triglycerides >or= 1.24 mmol/L, high-density lipoprotein cholesterol <or= 1.03 mmol/L, fasting glucose >or= 6.1 mmol/L, elevated waist circumference and systolic or diastolic blood pressure >or= 90th percentile. RESULTS: After adjustment for age and gender visfatin levels were significantly higher (median 19.0 [25th, 75th percentiles 11.9 , 37.1] vs. 15.2 [11.6 , 21.1] ng/ml; p(adjusted) = 0.02) in subjects with MetS (n = 41) compared to subjects without (n = 134). There were no significant differences in adiponectin or leptin levels between the two groups after adjustment for age and gender. Visfatin levels increased proportionally with number of MetS components (beta = 0.16, 95%CI 0.04, 0.28; p(adjusted) = 0.01), and adiponectin levels decreased proportionally with number of components (beta = -0.11, 95%CI -0.18, -0.04; p(adjusted) = 0.002). Leptin levels were not related to number of components of MetS. Unlike visfatin, both adiponectin (beta = -0.24, 95%CI -0.33, -0.15; p adjusted < 0.001) and leptin (beta = 0.14, 95%CI 0.01, 0.28; p adjusted = 0.03) were associated with insulin resistance. CONCLUSION: The elevation of visfatin observed in children and adolescents with MetS was proportionate to number of components of MetS but was not associated with insulin resistance. The increase in visfatin may contribute to low-grade systemic inflammation associated with MetS.
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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) | 0.000 | 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".