Abstract P393: Fabrication Of Immunomodulatory Hydrogels For Cardiac Repair After Acute Myocardial Infaction
Bibliographic record
Abstract
Introduction: The balance of pro- and anti-inflammatory processes is tightly linked to left ventricular remodeling after myocardial infarction. Immune activation also plays a key role in rejection of transplanted allogeneic stem cells. In this study, we present the design, fabrication and characterization of immunomodulatory chitosan-based hydrogels for cardiac repair after myocardial infarction. Methods: Chitosan hydrogels conjugated with small immunomodulatory molecules were synthesized through a thermogelation process. Resultant hydrogels were characterized using scanning electron microscopy and Fourier-transformed infrared spectroscopy. Human mesenchymal stem cells were encapsulated into the hydrogels and biocompatibility was assessed after one week using fluorescence microscopy and a colorimetric assay. Immunomodulatory activity was assessed after co-culture with human T-lymphocytes using flow cytometry for CD4+IFN-γ+ pro-inflammatory and CD4+CD25+FoxP3+ regulatory T-lymphocytes. Results: Small immunomodulatory molecules were successfully integrated into chitosan hydrogels. Physico-chemical characterization revealed no significant changes to the 3D structure and porosity of hydrogels. The addition of 10μM atorvastatin or 10μM rosuvastatin did not result in significant cytotoxicity to encapsulated mesenchymal stem cells at 3 or 7 days. Addition of statins resulted in marked suppression of CD4+ T-lymphocyte proliferation (Control 25.1 Fold, Atorvastatin 1.0 Fold, Rosuvastatin 2.3 Fold, p<0.001) and activation (CD4+IFN-γ+ Population: Control 87.1%, Rosuvastatin 23.7%, p<0.001) after stimulation. No differences were seen in percentages of CD4+CD25+FoxP3+ regulatory T-lymphocytes (Control 5.5%, Rosuvastatin 5.7%, ns). Conclusion: A biocompatible immunomodulatory hydrogel was created through integration of atorvastatin and rosuvastatin into a chitosan hydrogel. Experiments are currently underway in vivo to examine its usefulness for stem cell delivery and reducing adverse left ventricular remodeling after myocardial infarction.
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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".