Characterization of uptake of folates by rat and human blood–brain barrier endothelial cells
Bibliographic record
Abstract
This study aimed to characterize (3)H-folic acid ((3)H-FA) and (14)C-methyltetrahydrofolic acid ((14)C-MTHF) uptake by rat (RBE4) and human (hCMEC/D3) blood-brain barrier (BBB) endothelial cell lines. Uptake of (3)H-FA and (14)C-MTHF by RBE4 cells was time dependent and linear for the first 2 min of incubation; uptake by hCMEC/D3 cells showed a less marked time-dependency and a greater experimental variability. So, further experiments were performed in RBE4 cells only. Uptake of (3)H-FA was stimulated at acidic and alkaline pH, Na(+) dependent, stimulated when F(-) substituted for Cl(-), energy independent, inhibited by premetrexed, stimulated by cytochalasin D, and unaffected by MTHF, DIDS, SITS, methotrexate, monensin, and FA. Uptake of (14)C-MTHF was found to be pH-, Na(+)-, Cl(-)- and energy independent, inhibited by premetrexed and methotrexate, stimulated by cytochalasin D, and unaffected by FA, DIDS, SITS, monensin, and MTHF. RT-PCR analysis showed mRNA expression of reduced folate transporter (RFC), but neither of FRalpha nor of proton-coupled folate transporter (PCFT) in RBE4 cells, and mRNA expression of RFC and PCFT, but not of FRalpha, in hCMEC/D3 cells. In conclusion, both human and rat BBB endothelial cells show little capacity for (3)H-FA and (14)C-MTHF apical uptake. Hence, these cell lines do not appear to be a good model to study the transport of folates at the BBB.
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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 | 0.001 |
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".