Lipid and lipoprotein metabolism in primary human hepatocytes
Bibliographic record
Abstract
Dysfunctions in liver lipid metabolism have been implicated in prevalent diseases such as atherosclerosis, diabetes, obesity, and hepatic steatosis. Most studies were done using human hepatoma cell lines or rodent model systems, whereas there were minimal studies on human hepatocytes in these diseases. We have shown that isolation of primary human hepatocytes is a valid model for studies on human liver. After 3 days of culturing of human hepatocytes in RPMI + 20% FBS, the cells are 70% viable. In addition, cells still maintain the ability to secrete albumin, apoB, apoA1, and apoE. Notably, the activity of phosphatidylethanolamine N‐methyltransferase (PEMT), a liver specific phosphatidylcholine biosynthetic enzyme, is found to decrease only 40% after 3 days; whereas in rat hepatocytes, PEMT activity decreases by 50% during the initial 24 hours of culture. Moreover, total phospholipid level and CTP:phosphocholine cytidylyltransferase activity are found to be constant throughout the initial 3 days of culture. With our work in the characterization of lipid/lipoprotein metabolism of primary human hepatocytes, we hope to provide new insight into lipid metabolism in humans as well as to relate knowledge gained from mouse metabolism to the situation in humans. This research is supported by Canadian Institutes of Health Research.
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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) | 0.003 | 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".