Heparan sulfate fine-tuned interleukin-1 (IL-1) signaling inhibits insulin secretion of grafted pancreatic islets
Bibliographic record
Abstract
Islet-resident macrophages contribute to hypoxia-induced islet cell death during pancreatic islet transplantation. However, their specific role during this process remains elusive. Here, we report that interleukin-1α (IL-1α) and IL-1β are released by islet-resident macrophages, resulting in the suppression of insulin secretion. This may be due to a decreased inflammation-driven expression of pancreatic and duodenal homeobox 1 (PDX-1) and MafA in β cells. Islet-resident macrophages release significantly less IL-1α when compared to IL-1β. However, both cytokines inhibit insulin expression and secretion to a comparable extent. We identified heparan sulfate on the islet surface, which acts as a "molecular glue" potentiating the inhibitory action of IL-1α on insulin expression via specific binding to IL-1 receptor (IL-1R). In vivo analyses revealed that the loss of IL-1 signaling in isolated islets accelerates their revascularization and, thus, enhances their endocrine function. These findings indicate that heparan sulfate fine-tuned IL-1 signaling crucially determines the outcome of islet transplantation.
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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 | 0.001 |
| 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".