Cucurbit[7]uril‐Mediated Organ‐Specific Delivery of Ultrasmall NIR‐II Luminescent Gold Nanocarriers for Therapy of Acute Kidney Injury
Bibliographic record
Abstract
Abstract The design of nanocarriers that selectively target the liver or kidney is a significant challenge in drug delivery due to the diverse physiological structures and inherent characteristics, as well as their distinct requirements for nanocarriers. Herein, a strategy to synthesize a series of second near‐infrared region (NIR‐II) emitting gold nanocarriers for fine‐tuning liver or kidney‐specific delivery via altering their surface chemistry using cucurbit[7]uril (CB[7]) and Cys‐Arg‐Gly‐Asp (CRGD) peptide is reported. Accordingly, it shows that ultrasmall nanocarriers can facilitate kidney‐targeted delivery in cisplatin‐induced acute kidney injury (AKI) mice, which significantly boosted the accumulation of dexamethasone (DXM) loaded onto the nanocarriers at the site of injured kidneys, thereby achieving improved therapeutic results. Thus, this organ‐specific delivery strategy holds tremendous promise for improving drug delivery efficiency and providing new perspectives and methods for personalized treatments.
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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".