Involvement of Cholesterol Membrane Transporter Niemann-Pick C1-Like 1 in the Intestinal Absorption of Lutein
Bibliographic record
Abstract
PURPOSE: Lutein is a carotenoid mainly found in green leafy vegetables and is located in the macula lutea in the human eye. Since humans cannot synthesize lutein de novo, it must be digested as food. The physiological importance of an orally administered compound depends on its interaction with target tissues. It is therefore important to clarify the absorption mechanism in the intestine. Cholesterol membrane transporters Niemann-Pick C1 Like 1 (NPC1L1) and scavenger receptor class B type 1 (SR-B1) are involved in the intestinal absorption of highly lipophilic compounds including cholesterol. Ezetimibe, a selective inhibitor of intestinal NPC1L1, is the widespread lipid-lowering agent. It is important to investigate the possibility of food-drug interactions in order to prevent undesirable and harmful clinical consequences. The aim of this work was to determine whether NPC1L1, SR-B1 and other transporters are involved in absorption of lutein. METHODS: Caco-2 cells were used for accumulation and permeability study of lutein. Lutein concentration was determined by an HPLC system. The cDNA of transporters was isolated from total RNA of Caco-2 cells, and the expression of these transporters was confirmed by RT-PCR (reverse transcription-polymerase chain reaction). RESULTS: Ezetimibe inhibited up to 40% of lutein accumulation by Caco-2 cell monolayers. Block lipid transport 1 (BLT-1), a selective chemical inhibitor of SR-B1, also inhibited lutein accumulation by Caco-2 cells. On the other hand, ATP-depletion reagents (sodium fluoride and sodium azide or carbonyl cyanide m-chlorophenylhydrazone) did not influence the accumulation or permeation of lutein significantly. CONCLUSIONS: The results show that lutein absorption is, at least in part, mediated by influx transporters NPC1L1 and SR-B1 rather than mediated by efflux transporters such as ABC (ATP-binding cassette) transporters.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".