What is the phenotype of heterozygous lipoprotein lipase deficiency?
Bibliographic record
Abstract
PURPOSE OF REVIEW: Genetic testing of patients with severe hypertriglyceridemia often identifies a single heterozygous pathogenic variant in the LPL gene. The complex and variable phenotype associated with this genotype is the topic of this review. RECENT FINDINGS: Previous research showed that heterozygosity for lipoprotein lipase deficiency is associated with reduced but variable post heparin lipolytic activity alongside inconsistent plasma lipid phenotypes ranging from normal to mild-to-moderate to severe hypertriglyceridemia. Recent research confirms and extends these observations, showing that a heterozygous individual can express a highly variable phenotype over time, depending on the presence of secondary factors. About 10% (range 8-20%) of patients with severe hypertriglyceridemia or multifactorial chylomicronemia syndrome are heterozygous for a rare pathogenic LPL variant, and a clinically relevant minority of these has recalcitrant or sustained hypertriglyceridemia. SUMMARY: Heterozygosity for lipoprotein lipase deficiency predisposes to hypertriglyceridemia, which is sometimes severe depending on secondary factors, but is typically quite responsive to routine interventions such as diet, lifestyle and existing lipid-lowering therapies. However, many heterozygotes for pathogenic variants in LPL have completely normal plasma lipids.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".