A Critical and Comprehensive Insight on Heme Oxygenase and Related Products Including Carbon Monoxide, Bilirubin, Biliverdin and Ferritin in Type-1 and Type-2 Diabetes
Bibliographic record
Abstract
The increased prevalence of diabetes and associated complications presents a major health risk worldwide, and requires an efficient management protocol. Type-1 and type-2 diabetes have several common pathophysiological denominators including hyperglycemia, elevated oxidative stress, increased inflammation and apoptosis. These pathological factors are implicated in the progression and worsening of the disease, and the related cardiometabolic complications associated with it. Despite the advancement in management of type-1 and type-2 diabetes, the high incidence of diabetes and related complications calls for novel therapeutic strategies. Recent findings suggest that the pharmacological modulation of the microsomal heme oxygenase (HO) system may be an important therapeutic avenue to explore. The HO system and related products such as carbon monoxide, bilirubin, biliverdin, biliverdin reductase and ferritin have been shown to abate inflammation, oxidative stress, and apoptosis and reduce hyperglycemia. In addition, the HO system also enhances insulin sensitivity and increase pancreatic beta cell insulin production in experimental models of type-1 and type-2 diabetes. This review is an effort to provide evidence of the regulatory and cytoprotective role of the HO system in type-1 and type-2 diabetes, and will highlight the multifaceted mechanisms implicated in the anti-diabetic effects of the HO system.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".