Adolescent obesity and the role of the fat mass and obesity-associated gene polymorphism
Bibliographic record
Abstract
Purpose The association between fat mass and obesity-associated (FTO) gene and obesity is unclear in both adults and adolescents. The aim of this study was to examine the role of the FTO gene variant rs9939609 as a candidate gene for obesity and the relationship between insulin resistance (IR), metabolic syndrome (MetS), estimated glomerular filtration rate (eGFR) and neutrophil-to-lymphocyte ratio (NLR). Methods Obese adolescents (n=100) and healthy controls (n=100) were included. Rs9939609 polymorphism in the FTO gene was genotyped by PCR-SNaPshot. Results The prevalence of insulin resistance (IR), metabolic syndrome (MetS) and hyperfiltration were 47%, 60% and 27%, respectively. There were no significant differences in genotype and allele frequencies between obese adolescents and controls; however, prevalence of MetS in female patients with A allele carriers was more frequent and prevalence of hyperfiltration was less frequent with T allele carriers (P<0.05). The NLR levels were higher in A allele carrier obese patients with IR/MetS (P<0.05). Conclusions We could not confirm the FTO rs9939609 variant as an obesity susceptibility gene in adolescents, but we observed an association with MetS, IR, NLR and hyperfiltration. This is a preliminary study and further work is needed in an independent cohort to clarify the possible effects of FTO gene polymorphism.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".