Transferrin Receptor Mediated Brain Uptake During Ischemia and Reperfusion
Bibliographic record
Abstract
PURPOSE: Drug delivery by transferrin receptor-mediated transport at the blood-brain barrier has shown beneficial effects in animal models of stroke, but it is unclear whether receptor mediated uptake remains functional in the ischemic tissue. The present study addressed that question in a mouse model of brain focal ischemia, permanent or transient middle cerebral artery occlusion (MCAO). METHODS: Brain accumulation of 125I-labeled 8D3, a mouse-specific transferrin receptor antibody, or of the isotype control UPC-10 used as vascular marker, was measured autoradiographically by phosphorimaging in the core ischemic region on cryostat brain sections up to 24h after ischemia or reperfusion. Cerebral blood flow was quantitatively determined in the same animals after administration of 99mTc-ECD (Neurolite). RESULTS: Apparent volume of distribution obtained with UPC-10 indicated no significant nonspecific leakage of the blood-brain barrier at any time point. Although brain uptake of 8D3 gradually declined compared to healthy tissue under MCAO, VD remained significantly higher than VD of UPC-10 up to 5h. In transient MCAO the brain uptake recovered to levels as in healthy tissue immediately after reperfusion. CONCLUSION: Transferrin receptor-mediated brain uptake, which is an energy dependent vesicular transport process, is sensitive to reduction in blood supply but remains partially functional for several hours after onset of ischemia. The uptake shows complete recovery after reperfusion. These results support the use of transferrin receptor-mediated brain drug delivery in the early phase of ischemia and in the phase when blood flow is restored. This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
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".