Targeted delivery of antibody conjugated liposomal drug carriers to rat myocardial infarction
Bibliographic record
Abstract
Immunoliposome (IL) targeting to areas of inflammation after an acute myocardial infarction (MI) could provide the means by which pro-angiogenic compounds can be selectively targeted to the infarcted region. The adhesion of model drug carriers and ILs coated with an antibody to P-selectin was quantified in a rat model of MI following left coronary artery ligation. Anti-P-selectin coated model drug carriers showed a 140% and 180% increase in adhesion in the border zone of the MI 1 and 4 h post-MI, respectively. Radiolabeled anti-P-selectin ILs injected immediately post-MI and allowed to circulate 24 h showed an 83% increase in targeting to infarcted myocardium when compared to adjacent non-infarcted myocardium. Radiolabeled anti-P-selectin ILs injected 4 h post-MI and allowed to circulate for 24 h showed a 92% increase in accumulation in infarcted myocardium when compared to adjacent non-infarcted myocardium. Targeting to upregulated adhesion molecules on the endothelium provides a promising strategy for selectively delivering compounds to the infarct region of the myocardium using our liposomal-based drug delivery vehicle.
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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) | 0.001 | 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 | 0.001 | 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".