Oxysterol as a Marker of Atherogenic Dyslipidemia in Adolescence
Bibliographic record
Abstract
CONTEXT: Oxysterols represent potentially important oxidative stress biomarkers in adolescence. OBJECTIVE: The objective of the study was to examine the relationship between the concentrations of serum enzymatically and nonenzymatically generated oxysterols, measures of obesity, and metabolic components including insulin resistance and levels of blood pressure and serum lipids. DESIGN: This was a cross-sectional study. SETTING: All subjects were examined between 2003 and 2005 at a hospital, a part of a follow-up evaluation mother-daughter pairs representing pregnancies affected or unaffected by gestational diabetes that resulted in the deliveries in 1989-1991. SUBJECTS: Subjects included a subset (n=89) of the total study population of 189 adolescent girls with a mean age of 15.32+/-0.65 yr and body mass index of 22.54+/-3.98 kg/m2. MAIN OUTCOME MEASURES: Measures included serum levels of the oxysterols 7alpha-hydroxy-cholesterol, 7beta-hydroxycholesterol, and 7-ketocholesterol; and body mass index, homeostasis model assessment insulin resistance index, fasting insulin, fasting glucose, blood pressure, total cholesterol, non-high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, and apolipoprotein B (ApoB). RESULTS: Serum oxysterol concentrations in the adolescent cohort correlated positively with insulin (P<0.05), total cholesterol (P<0.05), non-high-density lipoprotein cholesterol (P<0.05), low-density lipoprotein cholesterol (P<0.05), and ApoB (P<0.01). ApoB and fasting insulin were found to be the major determinants of serum oxysterols after adjustment for body mass index. Being a daughter of gestational diabetes pregnancy alone did not seem to be a predisposing factor to increased oxidative stress in our cohort. CONCLUSION: Serum oxysterol concentrations increase with obesity, insulin, and ApoB, which are established derangements associated with the metabolic syndrome.
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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 | 0.001 | 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".