Heme Oxygenase-1 Induction Prevents Autoimmune Diabetes in Association With Pancreatic Recruitment of M2-Like Macrophages, Mesenchymal Cells, and Fibrocytes
Bibliographic record
Abstract
Immunoregulatory and regenerative processes are activated in the pancreas during the development of type 1 diabetes (T1D) but are insufficient to prevent the disease. We hypothesized that the induction of cytoprotective heme oxygenase-1 (HO-1) by cobalt protophoryrin (CoPP) would prevent T1D by promoting anti-inflammatory and pro-repair processes. Diabetes-prone BioBreeding rats received ip CoPP or saline twice per week for 3 weeks, starting at 30 days and were monitored for T1D. Immunohistochemistry, confocal microscopy, quantitative RT-PCR, and microarrays were used to evaluate postinjection pancreatic changes at 51 days, when islet inflammation is first visible. T1D was prevented in CoPP-treated rats (29% vs 73%). Pancreatic Hmox1 was up-regulated along with islet-associated CD68(+)HO-1(+) cells, which were also observed in a striking peri-lobular interstitial infiltrate. Most interstitial cells expressed the mesenchymal marker vimentin and the hematopoietic marker CD34. Spindle-shaped, CD34(+)vimentin(+) cells coexpressed collagen V, characteristic of fibrocytes. M2 macrophage factors Krüppel-like factor 4, CD163, and CD206 were expressed by interstitial cells, consistent with pancreatic upregulation of several M2-associated genes. CoPP upregulated islet-regenerating REG genes and increased neogenic REG3β(+) and insulin(+) clusters. Thus, short-term induction of HO-1 promoted a protective M2-like milieu in the pancreas and recruited mesenchymal cells, M2 macrophages, and fibrocytes that imparted immunoregulatory and pro-repair effects, preventing T1D.
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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".