Lomitapide modifies high-density lipoprotein function in homozygous familial hypercholesterolaemia
Bibliographic record
Abstract
BACKGROUND: Lomitapide reduces plasma low-density lipoprotein cholesterol (LDL-C) and is approved for the treatment of homozygous familial hypercholesterolemia (HoFH). This study aims to determine the effect of lomitapide on HDL and cholesterol efflux in a cohort of patients with HoFH. PATIENTS AND METHODS: Analysis included plasma samples from 17 HoFH patients enrolled in the lomitapide phase 3 Aegerion clinical study (NCT00730236). Samples taken at baseline (pre-lomitapide) and weeks 56 and 66 (assumed steady-state on lomitapide) were analyzed for HDL-C levels and cholesterol efflux capacity (CEC) pathways via ABCA1, ABCG1, and SR-BI cholesterol uptake. RESULTS: Treatment with lomitapide is associated with a statistically significant decrease of both LDL-C and apo B when compared to baseline levels, p < 0.01. However, the reduction of Lp(a) appears only at a higher dose when compared to baseline (- 27% against values around - 55% for LDL-C and apo B). HDL-C shows a small 4.2% increase between the baseline and the treatment with a high dosage of lomitapide, while apo A-I displays an opposite small 3% decrease. Total efflux and ABCA1 mediated CEC decreased especially at higher dosage of lomitapide, with marked dose-dependent increase of SR-BI cholesterol uptake (+ 21.4% and + 64.3%, respectively, at a low and high dosages of lomitapide). However, ABCG1 did not change consistently. CONCLUSIONS: Our report raises the hypothesis that lomitapide promotes lipidation of HDL particles independently of ABCA1 and ABCG1 through a process involving SR-BI pathway. This effect impairs the total efflux process suggesting that lomitapide drives the reverse cholesterol transport through SR-BI receptors in HoFH patients.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".