Blood Components Interactions to Ionic and Nonionic Glyconanogels
Bibliographic record
Abstract
Nanogels are prominent examples of "smart" nanomaterials, which are designed to incorporate biologically relevant (macro)molecules for systemic delivery. Although these systems are carefully engineered, only a handful of studies discuss the blood compatibility of nanogels, and no systematic studies are available on how the presence of net or surface charges impacts the hemocompatibility of these nanomaterials. Therefore, in this study, temperature responsive, galactose based nanogels bearing net positive, negative, or neutral charges, either in the core or shell of nanogels, are prepared and are subsequently evaluated for their blood compatibility profiles. The nanogels containing neutral core and shell, cationic core with neutral shell, anionic core with neutral shell, neutral core with cationic shell, and neutral core with anionic shell are prepared by reversible addition-fragmentation chain transfer (RAFT) polymerization approach. The evaluation of complement activation, blood clot formation, platelet activation, red blood cells aggregation, and hemolysis provides a detailed analysis of structure activity relationship of blood compatibility profile of these nanogels. The data reveal that the physical and biological (blood compatibility) properties can be carefully tuned by embedding the charges in the core of temperature-responsive nanomaterials, protected by neutral carbohydrate based shells.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".