Impaired phosphatidylcholine biosynthesis does not attenuate liver regeneration after 70% partial hepatectomy in hepatic CTP:phosphocholine cytidylyltransferase-α deficient mice
Bibliographic record
Abstract
Phosphatidylcholine (PC) is the major component of mammalian membranes, and the induction of PC biosynthesis has been shown to be an essential step in cell proliferation in various cell lines. Cytidine triphosphate (CTP):phosphocholine cytidylyltransferase α (CTα) regulates the primary pathway of PC biosynthesis in the liver. The targeted disruption of CTα in murine liver (LCTα(-/-) mice) decreases hepatic PC mass and the number of cells in the liver, suggesting CTα as an important factor for hepatocyte proliferation. To elucidate the role of CTα in hepatic cell division in vivo, we monitored liver regeneration after 70% partial hepatectomy in LCTα(-/-) and loxP flanked (floxed) LCTα (control) mice. To our surprise, liver re-growth, DNA synthesis, and PC mass after surgery were not impaired in LCTα(-/-) mice, despite reduced total PC synthesis. Furthermore, PC synthesis in the control mice was not induced after 70% partial hepatectomy. We conclude that CTα is not essential for proliferation of hepatocytes in vivo, and that basal hepatic PC biosynthesis is sufficient to sustain regeneration after 70% partial hepatectomy.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".