Treatment With Evinacumab Links a New Pathogenic Variant in the LPL Gene to Persistent Chylomicronemia
Bibliographic record
Abstract
Background: Persistent chylomicronemia is caused by lipoprotein lipase deficiency (LPLD) or lack of lipoprotein lipase (LPL) bioavailability. This disorder is characterized by plasma triglyceride (TG) levels above 10 mmol/L, increased acute pancreatitis risk, and features of familial chylomicronemia syndrome (FCS). Evinacumab is an angiopoietin-like protein 3 (ANGPTL3) monoclonal antibody, and its efficacy in decreasing plasma TG levels depends on LPL bioavailability. Objective: To identify FCS-causing pathogenic variants in patients with persistent chylomicronemia treated with evinacumab. Methods: A phase II clinical trial was conducted with evinacumab in patients with severe hypertriglyceridemia. Plasma TG values were measured at baseline and every 2 weeks for 24 weeks. Three FCS patients homozygotes for a P234L pathogenic variant in the LPL gene (HoLPL P234L) known to be associated with low postheparin LPL activity (proven LPLD) participated in the study and were used as tracers. The genotype-specific efficacy of evinacumab to decrease TG levels in other participants was compared to that achieved in HoLPL P234L patients. Results: After 24 weeks of evinacumab treatment, TG levels decreased <20% in HoLPL P234L patients known to lack LPL. Similarly, a participant homozygote for a E282X variant in the exon 6 of the LPL gene that was suspected to be pathogenic due to its location did not respond to evinacumab (TG decreased <10% and remained >10 mmol/L). Conclusion: The efficacy of ANGPTL3 inhibitors in decreasing TG levels is LPL-dependent. Poor response to evinacumab supports the evidence that the E282X variant in the LPL gene is pathogenic and associated with persistent chylomicronemia (FCS phenotype).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.000 | 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".