Influence of phytostanol phosphoryl ascorbate, FM-VP4, on pancreatic lipase activity and cholesterol accumulation within Caco-2 cells.
Why this work is in the frame
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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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it