The Role of Advanced Glycation End Products in Progression and Complications of Diabetes
Bibliographic record
Abstract
CONTEXT: Diabetic complications appear to be multifactorial in origin, but in particular, the biochemical process of advanced glycation, which is accelerated in diabetes as a result of chronic hyperglycemia and increased oxidative stress, has been postulated to play a central role in these disorders. Advanced glycation involves the generation of a heterogenous group of chemical moieties known as advanced glycated end products (AGEs), this reaction occurring as a result of a nonenzymatic reaction with glucose interacting with proteins, lipids, and nucleic acids, and involves key intermediates such as methylglyoxal. EVIDENCE SYNTHESIS: In this review we report on how these AGEs may exert deleterious effects in diabetes, as well as address current strategies to interrupt the formation or action of AGEs. First, AGEs act directly to induce cross-linking of long-lived proteins such as collagen to promote vascular stiffness, and, thus, alter vascular structure and function. Second, AGEs can interact with certain receptors, such as the receptor for AGE, to induce intracellular signaling that leads to enhanced oxidative stress and elaboration of key proinflammatory and prosclerotic cytokines. Over the last decade, a large number of preclinical studies have been performed, targeting the formation and degradation of AGEs, as well as the interaction of these AGEs with receptors such as the receptor for AGE. CONCLUSION: It is hoped that over the next few years, some of these promising therapies will be fully evaluated in the clinical context with the ultimate aim to reduce the major economical and medical burden of diabetes, its vascular complications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".