Apolipoprotein B48: a novel marker of metabolic risk in overweight children?
Bibliographic record
Abstract
Clinical studies in adults indicate there is a positive and significant association between insulin resistance, dyslipidaemia, fasting intestinally derived lipoproteins [via apoB48 (apolipoprotein B48)] and visceral fat. All of these factors contribute to increased risk of CVD (cardiovascular disease). Since little is known about postprandial dyslipidaemia in overweight children, we sought to compare fasting levels of apoB48 with the HOMA-IR (homoeostasis model assessment of insulin resistance) score, classic lipid profile and VAT (visceral adipose tissue). Pre-pubertal, overweight boys and girls were recruited from the wider-Edmonton area (Alberta). Body composition was determined using both dual-energy X-ray absorptiometry and MRI (magnetic resonance imaging). Fasting apoB48 was quantified in plasma using an adapted SDS/PAGE immunoblotting technique, and insulin, glucose, TC (total cholesterol), TAG (triacylglycerol), LDL (low-density lipoprotein) and HDL (high-density lipoprotein) were determined by calorimetric assay. In this overweight sample, we observed elevated fasting apoB48 concentrations, greater than the normal adult range. In addition, apoB48 was significantly related to HOMA-IR and TAG levels. Although apoB48 was positively correlated with TC and LDL and negatively associated with HDL, these relationships did not achieve significance. Our ongoing MRI analysis reveals a positive relationship between apoB48 and VAT volume. To our knowledge, this is the first study to report apoB48 concentrations in overweight pre-pubertal children. Thus this article will provide a brief rationale for our study and its methodology.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".