Correlated Endothelial Caveolin Overexpression and Increased Transcytosis in Experimental Diabetes
Bibliographic record
Abstract
We investigated the mechanism by which diabetes renders the capillary endothelium more permeable to macromolecules in the lungs of short-term diabetic rats. We used quantitative immunocytochemistry (ICC) to comparatively assess the permeability of alveolar capillaries to serum albumin in diabetic and normoglycemic animals. The effect of diabetes on the population of endothelial caveolae was evaluated by morphometry and by ICC and immunochemical quantification of the amount of caveolin in the whole cell or associated with the purified endothelial plasma membrane. A net increase in the amount of serum albumin taken up by the plasmalemmal vesicles of alveolar endothelial cells and transported to the interstitium was documented in diabetic animals. Interendothelial junctions were not permeated by albumin molecules. The alveolar endothelial cells of hyperglycemic rats contain more caveolae (1.3-fold), accounting for a larger (1.5-fold) fraction of the endothelial volume than those of normal animals. The hypertrophy of the caveolar compartment is accompanied by overexpression of endothelial caveolin 1. Although the aggregated thickness of the endothelial and alveolar epithelium basement membranes increases in diabetes (1.3-fold), the porosity of this structure appears to be unchanged. Capillary hyperpermeability to plasma macromolecules recorded in the early phase of diabetes is explained by an intensification of transendothelial vesicular transport and not by the destabilization of the interendothelial junctions.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".