Is the Decreased High-Density Lipoprotein Cholesterol in the Metabolic Syndrome Due to Cellular Lipid Efflux Defect?
Bibliographic record
Abstract
The metabolic syndrome (MS) is associated with cardiovascular disease. The low high-density lipoprotein cholesterol (HDL-C) seen in the MS is associated with increased hepatic secretion of apolipoprotein B-containing lipoproteins. Patients with low HDL-C and abnormal cellular lipid efflux due to ABCA1 gene defects (Tangier disease) also have elevated plasma triglycerides. In the present study, we examined the cellular cholesterol and phospholipid efflux in patients with low HDL-C and features of the MS. Forty-four patients with a HDL-C below the fifth percentile for age and gender were selected. The MS was defined by a low HDL-C and at least two additional features: body mass index at least 30 kg/m(2), plasma triglycerides at least 150 mg/dl, fasting glucose at least 110 mg/dl, and blood pressure at least 130/85 mm Hg. Cellular lipid efflux was examined on fibroblasts obtained from study subjects, nine normal controls and six subjects with Tangier disease. In 22 patients identified with the MS, HDL-C was 21 +/- 7 mg/dl, triglyceride levels were 340 +/- 157 mg/dl, and cellular cholesterol and phospholipid efflux were 107 +/- 18% and 105 +/- 17% of controls, respectively. No patient with the MS and low HDL-C showed a cellular lipid efflux defect. We conclude that primary cellular lipid efflux defects do not contribute to the low HDL-C frequently encountered in the MS.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".