Vascular Immunotargeting to Endothelial Surface in a Specific Macrodomain in Alveolar Capillaries
Bibliographic record
Abstract
A novel 85 kD glycoprotein (gp85) is a marker of the avesicular zone, a thin part of pulmonary endothelial cells separating alveolar and vascular compartments and lacking vesicles. This report presents the first evaluation whether mAb 30B3, a monoclonal antibody to gp85, can be used for targeting of drugs to the surface of lung endothelium. 125I-mAb 30B3 accumulated in isolated perfused lungs (IPL) (22.8 +/- 1.1 versus 0.5 +/- 0.1 %ID/g for 125I-IgG) and accumulated preferentially in the lungs after intravenous or intraarterial injection (10.9 +/- 0.7 and 11.0 +/- 1.5 versus 0.9 +/- 0.2 %ID/g for 125I-IgG). 125I-mAb 30B3 uptake in IPL was rapid (T1/2 15 min), saturable (Bmax appr. 10(5) molecules/cell), specific (inhibited by nonlabeled mAb 30B3) and temperature independent (26.3 +/- 2.1 versus 22.8 +/- 1.1 %ID/g at 6 degrees C versus 37 degrees C). Biotinylated mAb 30B3 permitted subsequent accumulation of perfused avidin derivative in IPL. Because these data indicated that mAb 30B3 binds to an accessible, poorly internalizable antigen in the lung, we conjugated mAb 30B3 with a plasminogen activator, 125I-tPA. After intravenous injection in rats, lung-to-blood ratio was 8.4 +/- 0.9 for mAb 30B3/125I-tPA versus 0.4 +/- 0.1 for IgG/125I-tPA, indicating that mAb 30B3 may deliver drugs, which was supposed to exert therapeutic action in the vascular lumen (e.g., antithrombotic proteins), to the surface of pulmonary endothelium.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".