The response of serum apolipoprotein H to an oral fat load
Bibliographic record
Abstract
BACKGROUND: We tested the hypothesis that serum apolipoprotein H (apo H) concentration increases after an oral fat load. Such a study would give valuable insight into whether apo H was influenced by the postprandial state. METHODS: Ten male subjects aged 24-48 years were fed 62.5 g of total fat (saturates 12 g, monounsaturates 35.3 g, polyunsaturates 12.5 g). Venous blood was sampled hourly for 5 h post-oral fat load. RESULTS: No significant change in serum apo H concentration occurred following the oral fat load. However, serum apo H in the baseline samples correlated significantly with subject body mass index (r = 0.683, P < 0.05), body fat mass (r = 0.778, P < 0.01), lean body mass (r = 0.693, P < 0.05), serum triglyceride (r = 0.732, P < 0.02), serum insulin (r = 0.808, P < 0.01) and insulin resistance index (r = 0.794, P < 0.01). In stepwise multiple linear regression model, with serum apo A1, apo B, lipoprotein(a), total cholesterol, triglyceride, HDL-cholesterol, LDL-cholesterol, plasma glucose and insulin and apo H as the dependent variable, insulin remained in the model (r = 0.81, P < 0.01). Conversely, with body mass index, body fat mass, lean body mass and waist/hip ratio in the model and apo H as dependent variable, only body fat mass remained in the model (r = 0.78, P < 0.01). CONCLUSIONS: Serum apo H may be involved in insulin resistance and relates to various indices of adipose tissue, including body fat mass. However, serum apo H concentrations do not significantly change postprandially.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".