Fatty Acid Transport across Rat Brain Microvessel Endothelial Cells (RBMEC) Requires a Fatty Acid Acceptor
Bibliographic record
Abstract
The Blood Brain Barrier (BBB) is the physical protective barrier between the cerebral blood vessels and parts of the central nervous system. Endothelial cells lining the blood capillaries are packed tightly thus regulating the transport of substances from the blood into the brain, including fatty acids. Fatty acids are essential for both the developing and adult mammalian brain. Since most of the fatty acids in the brain enter from the blood, we examined the mechanism of transport across the BBB. Rat Brain Microvessel Endothelial cells (RBMEC) were plated onto 12 transwell plate inserts for these permeability studies. RBMECs were then incubated for up to 4 h with 0.1 μM [ 14 C]oleic acid in the apical medium and the radioactivity was temporally determined in the basolateral medium in the absence or presence of bovine serum albumin. There was a near linear increase in [ 14 C]oleic acid incorporation into the basolateral medium with time in the presence of either regular bovine serum albumin or fatty acid free bovine serum albumin. In contrast, no [ 14 C]oleic acid incorporation into the basolateral media was observed in the absence of albumin, indicating that the permeability layer was intact and that a fatty acid acceptor is a requirement for fatty acid transport across the permeability layer of these cells. (Supported by grants from the Manitoba Health Research Council and the Canada Research Chair program)
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".