Oral Presentations—Abstracts
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
Targeted Delivery of Antisense Oligodeoxynucleotides In Vivo by Means of Coated Cationic LipoplexesEarlier we reported on the massive uptake of liposomes surface-modified with negatively charged aconitylated albumin (Aco-HSA) by liver endothelial cells (EC) in vivo. In the present work we apply this principle for in vivo delivery of antisense oligodeoxynucleotides (ODN) to these cells by means of coated cationic lipoplexes (CCL) (). CCL were prepared by complexing ODN with the cationic lipid DOTAP and subsequent coating of the complex by neutral lipids including a lipid-anchored poly(ethylene glycol). Aco-HSA was covalently coupled.The Aco-HSA-CCLs were 160 nm in size, contained 1.03 ± 0.35 nmol ODN and 54 ± 18 µg Aco-HSA per µ mol total lipid. The Aco-HSA-CCLs were rapidly eliminated from plasma, 60% of the injected dose being recovered in the liver after 30 m. Within the liver, the EC accounted for two thirds of total liver uptake. Non-targeted CCLs were eliminated very slowly: after 30 m >90% of the particles was in the blood. Currently, we compare the encapsulation efficiency, stability and targetability of the CCL with stabilized antisense lipid particles (SALP) (), while also the biological activity of these carriers is addressed. In conclusion our results demonstrate that antisense ODN can be targeted very efficiently to EC in vivo, employing plasma-stable CCL, surface modified with negatively charged albumin.ReferencesStuart DD, Allen TM. BBA 2000; 1463:219–229.Semple S. et al. BBA 2001; 1510: 152–166.
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 | 0.001 |
| 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