Effect of kidney disease and vascular calcification on the circulation and distribution of tetracycline-functionalized polymer nanoparticles
Bibliographic record
Abstract
-poly(lactic acid) (PEG-PLA) nanoparticles functionalized with tetracycline to target VC, given the antibiotic's strong affinity for hydroxyapatite. In rats with CKD, rats with CKD and VC, or healthy animals, we compared the circulation and biodistribution profiles of nanoparticles, as well as the urinary elimination of PEG. Blood and organ analyses revealed similar blood and tissue exposures, with no significant nanoparticle or PEG accumulation in the body. In the same model, we demonstrated that encapsulating vitamin K, a possible inhibitor of VC, alters the pharmacokinetics of the model drug and may enhance its systemic exposure. We employed various methodologies to assess the terminal distribution of nanoparticles in the calcified vascular wall. This work advances our understanding of how kidney disease and vascular calcification can alter the pharmacology of nanoparticles. However, further studies will be necessary to refine tetracycline-based targeting strategies and optimize nanomedicine approaches for VC treatment.
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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) | 0.000 | 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) | 0.001 | 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".