ECM Proteins Nidogen‐1 and Decorin Restore Functionality of Human Islets of Langerhans upon Hypoxic Conditions
Bibliographic record
Abstract
Transplantation of donor islets of Langerhans is a potential therapeutic approach for patients with diabetes mellitus; however, its success is limited by islet death and dysfunction during the initial hypoxic conditions at the transplantation site. This highlights the need to support the donor islets in the days post-transplantation until the site is vascularized. It was previously demonstrated that the extracellular matrix (ECM) proteins nidogen-1 (NID1) and decorin (DCN) improve the functionality and survival of the β-cell line, EndoC-βH3, and the viability of human islets post-isolation. To advance the use of these ECM proteins toward a clinical application and elucidate the mechanisms of action in primary islets, the study assesses the effects of ECM proteins NID1 and DCN on isolated human donor islets cultured in normoxic and hypoxic conditions. NID1- and DCN-treatment restore β-cell functionality of human donor islets in a hypoxic environment through upregulation of genes involved in glycolytic pathways and reducing DNA fragmentation in hypoxic conditions comparable to normoxic control islets. The results demonstrate that the utilization of NID1 or DCN with islets of Langerhans may have the potential to overcome the hypoxia-induced cell death observed post-transplantation and improve transplant outcomes.
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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".