Radiation-Induced Up-regulation of Adhesion Molecules in Brain Microvasculature and their Modulation by Dexamethasone
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Little is known about the time course and magnitude of the up-regulation of endothelial cell adhesion molecules (ECAMs) in irradiated brain vasculature and the mechanisms by which dexamethasone modulates this up-regulation. We used antibody-conjugated microspheres and a rat closed cranial window model to determine the time course of functional up-regulation of radiation (20 Gy)-induced ICAM1, E-selectin and P-selectin in the pial vasculature of the rat brain and to determine the relationship between suppression of inflammation by dexamethasone and the expression of these ECAMs. The results indicate that ICAM1, E-selectin and P-selectin were up-regulated to a functional level in the microvasculature with distinct time-course patterns. The number of adherent anti-E-selectin and anti-P-selectin microspheres was 5- 12 times greater than that of IgG microspheres 3-6 h postirradiation, and their expression returned to normal at 48 h. The number of adherent anti-ICAM1 microspheres was five and nine times greater than that of IgG at 24 and 48 h, respectively, and returned to baseline by 7 days. Dexamethasone significantly reduced the number of adhering leukocytes and the number of adhering anti-ICAM1, anti-E-selectin and anti-P-selectin microspheres to background levels. Our findings partially identify a key sequence in radiation-induced inflammatory response and provide a potential means to limit radiation-induced inflammatory responses and their potential side effects in the brain.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it