P0357 SR‐BI AND ABC1 ARE TWO KEY PLAYERS IN CHOLESTEROL HOMEOSTASIS IN BILE DUCT CELLS
Bibliographic record
Abstract
Introduction: The biliary tree is the target of severe damage of important liver diseases. Our immortalized bile duct cell (BDC) model, originating from H-2K-ts458 transgenic mice, allowed us to investigate lipid metabolism. The major goal of this study is to determine whether BDCs are equiped with crucial proteins that play a major role in cholesterol homeostasis. Methods: Cells were allowed to grow at 33 degree celcius on matrigel and were used for experimental studies after confluence (7–10 days). Results: Both proteins, scavenger receptor-BI (SR-BI) and ATP-binding cassette transporter 1 (ABC1), were identified in BDCs by Western blot analysis. Influx of [14C]-cholesteryl ester was documented following the incubation of labeled LDL and HDL with BDCs. Furthermore, HDL was effective in promoting cholesterol efflux from BDCs loaded with radioactive acetylated LDL. Neutralization of SR-BI and ABC1 by different agents impaired influx and efflux processes. The addition of insulin (5–30 mug/ml) increased cellular content of free (8–24%) and esterified cholesterol (8–26%), compared with controls. Similarly, the administration of insulin stimulated the uptake of LDL without altering the internalization of HDL. Conclusion: Our results provide evidence for the capacity of BDC to actively participate in cholesterol metabolism via HMG-CoA reductase, cholesterol 7alpha-hydroxylase, ACAT, SR-BI and ABC1. Additionally, cholesterol synthesis and transport, as well as influx and efflux, characterize these cells. Regulators, such as insulin, can modify intracellular cholesterol metabolism. Therefore, the biliary epithelium, which provides a large surface area for exchange between blood and bile, may be closely involved in lipid metabolism.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".