Stimuli‐Responsive Miktoarm Polymer‐Based Formulations for Fisetin Delivery and Regulatory Effects in Hyperactive Human Microglia
Bibliographic record
Abstract
Abstract Branched star polymers offer exciting opportunities in enhancing the efficacy of nanocarriers in delivering biologically active lipophilic agents. It is demonstrated that the star polymeric architecture can be leveraged to yield soft nanoparticles of vesicular morphology with precisely located stimuli‐sensitive chemical entities. Amphiphilic stars of AB 2 (A = PEG, B = PCL) composition with/without oxidative stress or reduction responsive units at the core junction of A and B arms, are constructed using synthetic articulation. Fisetin, a natural flavonoid with remarkable anti‐inflammatory and antioxidant properties, but of limited clinical value due to its poor aqueous solubility, is physically encapsulated into miktoarm star‐derived aqueous polymersomes. Polymersomes and fisetin are evaluated separately, and in combination, in human microglia (HMC3), to show if i) polymersomes are toxic; ii) fisetin reduces the abundance of reactive oxygen species (ROS); and iii) fisetin modulates the activation of ERK1/2. These signaling molecules and pathways are implicated in inflammatory processes and cell survival. Fisetin, both incorporated and nonincorporated into polymersomes, reduces ROS and ERK1/2 phosphorylation in lipopolysaccharide‐treated human microglia, normalizing excessive oxidative stress and ERK‐mediated signaling.
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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".