Recombinant Human Collagen Hydrogel Rapidly Reduces Methylglyoxal Adducts within Cardiomyocytes and Improves Borderzone Contractility after Myocardial Infarction in Mice
Bibliographic record
Abstract
Abstract Methylglyoxal (MG) production after myocardial infarction (MI) leads to advanced glycation end‐product formation, adverse remodeling, and loss of cardiac function. The extracellular matrix (ECM) is a main target for MG glycation. This suggests that ECM‐mimicking biomaterial therapies may protect the post‐MI environment by removing MG. In this study, mechanisms by which a recombinant human collagen type I hydrogel therapy confers cardioprotection are investigated. One‐week post‐MI, mice receive intramyocardial injection of hydrogel or PBS. The hydrogel improves border zone contractility after 2 days, which is maintained for 28 days. RNA sequencing shows that hydrogel treatment decreases the expression of erythroid differentiation regulator 1, a factor associated with apoptosis. Hydrogel treatment reduces cardiomyocyte apoptosis and oxidative stress at 2 days with greater myocardial salvage seen at 28 days. The hydrogel located at the epicardial surface is modified by MG, and less MG‐modified proteins are observed in the underlying myocardium of hydrogel‐treated mice. Biomaterials that can be a target for MG glycation may act as a sponge to remove MG from the myocardium post‐MI. This leads to less oxidative stress, greater survival and contractility of cardiomyocytes, which altogether suggests a novel mechanism by which biomaterials improve function of the infarcted heart.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".