Enhanced susceptibility to pancreatitis in severe hypertriglyceridaemic lipoprotein lipase-deficient mice and agonist-like function of pancreatic lipase in pancreatic cells
Bibliographic record
Abstract
BACKGROUND AND AIMS: Recurrent pancreatitis is a common complication of severe hypertriglyceridaemia in patients with various gene mutations in lipoprotein lipase (LPL) or apolipoprotein CII. However, the exact pathogenetic mechanism has not yet been defined. METHODS: Susceptibility to pancreatitis in LPL-deficient mice was compared with that of wild-type mice after intraperitoneal injections of caerulein by determination of amylase release and pancreatic pathological scores. The effect of chylomicrons and fatty acids on enzyme release, Ca(2+) signalling and cell injury in isolated pancreatic acinar cells from wild-type and LPL-deficient mice was investigated. RESULTS: Caerulein induced higher levels of serum amylase and more severe inflammation in the pancreas of LPL-deficient mice than in wild-type mice. Addition of free fatty acids or chylomicrons to isolated pancreatic acinar cells led to the release of amylase and caused cell injury at higher concentrations. The effect of chylomicrons was partially blocked by orlistat, an inhibitor of pancreatic lipase. These results suggest that increased concentrations of free fatty acids from chylomicron hydrolysis by pancreatic lipase can induce acinar cell injury. Surprisingly, pancreatic lipase, whether in its active or inactive state could act like an agonist by inducing amylase secretion without cell injury. It caused an increase in cGMP levels and conversion of cell-damaging sustained elevations of [Ca(2+)] to normal Ca(2+) oscillations. CONCLUSIONS: LPL-deficient mice with severe hypertriglyceridaemia display enhanced susceptibility to acute pancreatitis. High levels of chylomicrons and free fatty acids result in pancreatic cell injury. Pancreatic lipase has a dual effect: generating free fatty acids from chylomicrons and preventing Ca(2+) overload in pancreatic acinar cells.
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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 | 0.001 | 0.001 |
| 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".