Lack of Phosphatidylethanolamine <i>N</i> -Methyltransferase Alters Plasma VLDL Phospholipids and Attenuates Atherosclerosis in Mice
Bibliographic record
Abstract
OBJECTIVE: Impaired hepatic phosphatidylcholine (PC) synthesis lowers plasma lipids. We, therefore, tested the hypothesis that lack of phosphatidylethanolamine N-methyltransferase (PEMT), a hepatic enzyme catalyzing PC biosynthesis, attenuates the development of atherosclerosis. METHODS AND RESULTS: Mice deficient in both PEMT and low-density lipoprotein receptors (Pemt(-/-)/Ldlr(-/-) mice) were fed a high-fat/high-cholesterol diet for 16 weeks. Atherosclerotic lesion area was approximately 80% lower (P<0.01) in Pemt(-/-)/Ldlr(-/-) mice than in Pemt(+/+)/Ldlr(-/-) mice, consistent with the atheroprotective plasma lipoprotein profile (ie, significant reduction in very low-density lipoprotein [VLDL]/intermediate-density lipoprotein/low-density lipoprotein-associated phospholipids [approximately 45%], triacylglycerols [approximately 65%], cholesterol [approximately 58%], and cholesteryl esters [approximately 68%]). Plasma apoB was decreased by 40% to 60%, whereas high-density lipoprotein levels were not altered. In addition, PEMT deficiency reduced plasma homocysteine by 34% to 52% in Pemt(-/-)/Ldlr(-/-) mice. The molar ratio of PC/phosphatidylethanolamine in nascent VLDLs produced by Pemt(-/-)/Ldlr(-/-) mice was lower than in VLDLs in Pemt(+/+)/Ldlr(-/-) mice. Furthermore, deletion of PEMT modestly reduced hepatic VLDL secretion in Ldlr(-/-) mice and altered the rate of VLDL clearance from plasma. CONCLUSIONS: This is the first report showing that inhibition of hepatic phospholipid biosynthesis attenuates atherosclerosis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".