Endothelial cell dysfunction in type I and II diabetes: The cellular basis for dysfunction
Bibliographic record
Abstract
Abstract Micro‐ and macrovascular complications are the leading causes of mortality in Types I and II diabetes. Hyperglycemia results in increased advanced glycosylation end (AGE) products, oxidative stress, increased sorbitol levels, and increased activation of protein kinase C. These effects of hyperglycemia eventually lead to impaired endothelium‐dependent relaxation to vasoactive substances such as acetylcholine and bradykinin. Increased oxidative stress, which will reduce levels of nitric oxide (NO), and/or decreased bioavailability of tetrahydrobiopterin (BH4), a cofactor for endothelial NO synthase (eNOS), may lead to a phenomenon called “uncoupling” of eNOS and this leads to endothelial dysfunction. Uncoupled NOS produces superoxide anions which lead to a further reduction in NO bioavailability. Thus, restoring BH4 levels and antioxidant activity could prove to be novel approaches for the treatment of endothelial dysfunction in Type I and II diabetes. Drug Dev. Res. 58:28–41, 2003. © 2003 Wiley‐Liss, Inc.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".