Influence of phytostanol phosphoryl ascorbate, FM-VP4, on pancreatic lipase activity and cholesterol accumulation within Caco-2 cells.
Bibliographic record
Abstract
PURPOSE: The objective of this study was to determine how a novel hydrophilic phytostanol (FM-VP4) affects the cellular accumulation of [3H]cholesterol in human colon carcinoma (Caco-2) cell monolayers grown in Transwell chambers. METHODS: To determine cellular accumulation of cholesterol and FM-VP4, [3H]cholesterol- containing micelles (50 microM cholesterol containing 1.27x10 (-4)% [3H]cholesterol) or [3H]FM-VP4 (50 microM) was incubated on the apical side of differentiated Caco-2 cell monolayers for 1 to 4 h at 37 degrees C in the absence or presence of increasing concentrations (10-200 microM) of unlabeled FM-VP4 or cholesterol, respectively. RESULTS: The accumulation of [3H]cholesterol (presented in micelles) into Caco-2 cell monolayers in the presence of 50 microM FM-VP4 was significantly lower (33.7 +/- 7.0%) compared to control (59.8 +/- 5.2%, p<0.05) following 4 h of incubation. Conversely, cholesterol inhibited the accumulation of [3H]FM-VP4, although to a lesser extent, suggesting competition for binding sites. The inhibitory effects of FM-VP4 and cholesterol on each other were detectable after 1 h of incubation and increased with time. The extent of FM-VP4 inhibition of [3H]cholesterol accumulation was consistent whether FM-VP4 was co-incorporated into micelles or added separately in solution, suggesting that FM-VP4 does not elicit its effects through inhibition of cholesterol incorporation into micelles. In addition, pancreatic lipase activity ([3H]triolein hydrolysis) and p-glycoprotein (rhodamine 123 fluorescence) activity, were not affected by FM-VP4. CONCLUSIONS: In conclusion, FM-VP4 rapidly inhibits cholesterol accumulation within Caco-2 cell monolayers in a mode independent of pancreatic lipase activity, p-glycoprotein activity or cholesterol incorporation in micelles.
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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 | 0.000 |
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".