Effect of aging and obesity on the expression of dyslipidaemia in children from families with familial combined hyperlipidaemia
Bibliographic record
Abstract
The aim of the present study was to delineate the mechanism(s) responsible for the increased secretion of VLDL (very-low-density lipoprotein) particles in patients with FCH (familial combined hyperlipidaemia). In 194 young adults (<25 years of age) recruited from families with FCH, we investigated how plasma lipids, (apo)lipoproteins and BMI (body mass index) varied with age. Furthermore, we performed a 5-year follow-up study of clinical and biochemical characteristics of a subset of this population (n=85) stratified by apoB (apolipoprotein B) levels (below or above the 75th percentile adjusted for age and gender). Plasma apoB concentration (r=0.45, P<0.0001), triacylglycerol (triglyceride) concentration (r=0.45, P<0.0001), LDL (low-density lipoprotein) subfraction profile (r=-0.46, P<0.0001) and BMI (r=0.51, P<0.0001) were significantly associated with age. Plasma apoB concentration in the hyperapoB group was already elevated at a young age, whereas other characteristics of FCH, as observed in adults, including triacylglycerol levels >1.5 mmol/l and/or small-dense LDL, were observed only sporadically. After the 5-year follow-up, BMI increased in both groups, and this increase was associated with changes in apoB (r=0.27, P<0.05), triacylglycerol (r=0.30, P<0.01), VLDL cholesterol (r=0.22, P<0.05), VLDL triacylglycerol (r=0.25, P<0.05) and high-density lipoprotein cholesterol (r=-0.27, P<0.05). In conclusion, we have found indirect evidence of a primary, presumably genetically determined, increase in plasma apoB concentration occurring early in life of offspring from families with FCH. However, aging-related post-maturation increases in adipose tissue mass also appear to contribute to an aggravation and/or modulation of this genetically determined apoB overproduction.
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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 | 0.002 |
| 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".