Serum Apolipoprotein H and its Relationship to Blood Pressure, Serum Lipids, Fasting Plasma Glucose and Insulin in Normal Individuals
Bibliographic record
Abstract
Apolipoprotein H (apo H), also known as beta2-glycoprotein 1, has recently become of interest in the field of haemostasis. As apo H is elevated in diabetes mellitus and dyslipidaemia, we wished to test the hypothesis that serum apo H concentration was related to fasting plasma glucose and insulin as well as blood pressure, body mass index, hip/waist ratio and serum lipids in normal individuals. Eighty-one healthy young individuals (46 females and 35 males) were studied. Their age was 20.7 +/- 0.75 years. Serum apo H significantly correlated with fasting plasma glucose (r = 0.24, P = 0.03) and serum LDL cholesterol (r = 0.30, P = 0.006). In the females serum apo H significantly correlated with serum cholesterol concentration (r = 0.30, P = 0.04) and in males with serum HDL cholesterol concentration (r = 0.35, P = 0.04). In multifactorial regression analysis for serum apo H and the other variables for the 81 subjects, only gender and fasting plasma glucose remained statistically significant in the model. Serum apo H concentrations would be expected to increase by 21.7 mg/L for each single mmol/L increase in fasting plasma glucose (95% CI 2.3-41 2), P = 0.029, and to increase by 17.0 mg/L if the gender is male (95% Cl 0.7-332), P= 0.041.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 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".