Endothelial cell barriers: Transport of molecules between blood and tissues
Bibliographic record
Abstract
An endothelial cell monolayer separates interstitia from blood and lymph, and determines the bidirectional transfer of solutes and macromolecules across these biological spaces. We review advances in transport modalities across these endothelial barriers. Glucose is a major fuel for the brain and peripheral tissues, and insulin acts on both central and peripheral tissues to promote whole-body metabolic signalling and anabolic activity. Blood-brain barrier endothelial cells display stringent tight junctions and lack pinocytic activity. Delivery of blood glucose and insulin to the brain occurs through their respective carrier (Glucose transporter 1) and receptor (insulin receptor), enacting bona fide transcytosis. At supraphysiological concentrations, insulin is also likely transferred by fluid phase cellular uptake and paracellular transport, especially in peripheral microvascular endothelia. The lymphatic microvasculature also transports insulin but in this case from tissues to lymph and therefrom to blood. This serves to end the hormone's action and to absorb highly concentrated subcutaneously injected insulin in diabetic individuals. The former function may involve receptor-mediated transcytosis into lymphatic endothelial cells, the latter fluid phase uptake and paracellular transport. Lymphatic capillaries also mediate carrier-dependent transport of other nutrients and macromolecules. These findings challenge the notion that lymphatic capillaries only transport macromolecules through intercellular flaps.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".