The Membrane Lipid Phosphatidylcholine Is an Unexpected Source of Triacylglycerol in the Liver
Bibliographic record
Abstract
The increased prevalence of obesity and diabetes in human populations can induce the deposition of fat (triacylglycerol) in the liver (steatosis). The current view is that most hepatic triacylglycerols are derived from fatty acids released from adipose tissue. In this study, we show that phosphatidylcholine (PC), an important structural component of cell membranes and plasma lipoproteins, can be a precursor of ∼65% of the triacylglycerols in liver. Mice were injected with [ 3 H]PC-labeled high density lipoproteins (HDLs). Hepatic uptake of HDL-PC was ∼10 μmol/day, similar to the rate of hepatic de novo PC synthesis. Consistent with this finding, measurement of the specific radioactivity of PC in plasma and liver indicated that 50% of hepatic PC is derived from the circulation. Moreover, one-third of HDL-derived PC was converted into triacylglycerols. Importantly, ∼65% of the total hepatic pool of triacylglycerol appears to be derived from hepatic PC, half of which is derived from HDL. Thus, lipoprotein-associated PC should be considered a quantitatively significant source of triacylglycerol for the etiology of hepatic steatosis. Background: Most hepatic triacylglycerols are believed to originate from fatty acids released from adipose tissue. Results: Lipoprotein phosphatidylcholine is taken up by the liver and converted into triacylglycerols in vivo . Conclusion: Lipoprotein-associated phosphatidylcholine is a quantitatively significant source of hepatic triacylglycerols. Significance: The role of lipoprotein phosphatidylcholine should now be factored into our thinking about the development of hepatic steatosis.
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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 | 0.001 |
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".