Ultrastructural analysis of blood–brain barrier breakdown in the peri-infarct zone in young adult and aged mice
Bibliographic record
Abstract
Following ischemia, the blood-brain barrier is compromised in the peri-infarct zone leading to secondary injury and dysfunction that can limit recovery. Currently, it is uncertain what structural changes could account for blood-brain barrier permeability, particularly with aging. Here we examined the ultrastructure of early and delayed changes (3 versus 72 h) to the blood-brain barrier in young adult and aged mice (3-4 versus 18 months) subjected to photothrombotic stroke. At both time points and ages, permeability was associated with a striking increase in endothelial caveolae and vacuoles. Tight junctions were generally intact although small spaces were detected in a few cases. In young mice, ischemia led to a significant increase in pericyte process area and vessel coverage whereas these changes were attenuated with aging. Stroke led to an expansion of the basement membrane region that peaked at 3 h and partially recovered by 72 h in both age groups. Astrocyte endfeet and their mitochondria were severely swollen at both times points and ages. Our results suggest that blood-brain barrier permeability in young and aged animals is mediated by transcellular pathways (caveolae/vacuoles), rather than tight junction loss. Further, our data indicate that the effects of ischemia on pericytes and basement membrane are affected by aging.
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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 | 0.001 | 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".