The effect of circulation lifetime and drug-to-lipid ratio of intravenously administered lipid nanoparticles on the biodistribution and immunostimulatory activity of encapsulated CpG-ODN
Bibliographic record
Abstract
The encapsulation of conventional drugs in lipid nanoparticles (LNs) has been extensively utilized to enhance therapeutic activity by altering their pharmacokinetic (PK) and biodistribution (BD) properties. We have previously shown that the immunostimulatory activity of unmethylated cytidine-guanosine (CpG)-containing immunostimulatory oligodeoxynucleotides (ODN) is greatly enhanced when encapsulated in an LN (LN CpG-ODN). Here, we investigate the effect of circulation lifetime (determined by lipid composition) and drug-to-lipid (D/L) ratio of intravenously (i.v.) administered LN CpG-ODN on PK, BD, and cellular uptake and correlate these parameters with the immunostimulatory activity. Results from these studies show that despite significant differences in the circulation lifetime and the D/L ratio, the immune response is similar with respect to immune cell activation and cytolytic activity in the spleen and the blood compartments. Our findings indicate that the benefits of liposomal nanoparticles for the delivery of immunomodulatory drugs such as CpG-ODN are defined by a different paradigm than that for conventional drugs.
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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 | 0.001 |
| 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 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".