Abnormal adipokines associated with various types of obesity in Chinese children and adolescents.
Bibliographic record
Abstract
OBJECTIVE: To explore the role of adipokines including insulin, resistin, leptin, adiponectin, acylation stimulating protein (ASP) and complement C3 (C3) in various types of obesity (peripheral obesity, abdominal obesity and mixed obesity) in Chinese children and adolescents, and their relationships with body size and pubertal development. METHODS: Children and adolescents (n=3 508) aged 6 to 18 years, with 1 788 boys and 1 720 girls were assessed for body mass index, waist circumference, pubertal development, blood insulin, resistin, leptin, adiponectin, ASP and C3 levels. Three types of obesity [peripheral obesity (n=43), abdominal obesity (n=473), mixed obesity (n=1 187)] and non-obese control (n=1 805) were defined with combined use of Chinese body mass index and waist circumference criteria. RESULTS: Serum resistin, leptin and adiponectin levels were higher in girls than those in boys (all P<0.01). Insulin and leptin increased and adiponectin decreased across five Tanner stages in both girls and boys (all P<0.001), while ASP changed only in girls (P<0.001) and C3 only in boys (P<0.001). Insulin, leptin and ASP were higher, but adiponectin was lower in all three types of obesity vs. the non-obese control (all P<0.05). The greatest abnormalities of all six adipokines were found in the mixed obesity group. With inclusion of body mass index and waist circumference in simultaneous regression analyses, both body size indices were independently and significantly correlated with insulin, leptin and adiponectin after age and gender adjustment. Compared with waist circumference, the body mass index was stronger in interpreting insulin, leptin, adiponectin and ASP levels, whereas it was weaker in explaining variance of plasma C3. CONCLUSION: Obese children have a worse metabolic profile with high insulin, resistin, leptin, ASP and C3, and low adiponectin levels. The adipokine profile in mixed obesity is worse than that in peripheral or abdominal obesity. Identification of obese subjects with a malignant adipokine profile using a combination of body mass index and waist circumference is important for the prevention of obesity-related disease.
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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 | 0.000 |
| 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) | 0.001 | 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 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".