Bibliographic record
Abstract
Advanced glycation end products (AGEs) are formed endogenously from the nonenzymatic reaction of the carbonyl group of sugars with a nucleophilic amino group of amino acids. This forms intermediate Amadori products via the Maillard reaction or methylglyoxal-derived AGEs such as methylglyoxal derived–hydroimidazolones (MG-H1). Oxidation of Amadori products leads to stable irreversible formation of Nε-(carboxymethyl) lysine (CML) on lysine residues. Apart from endogenous AGE formation, AGEs are also absorbed through ingestion of highly heated processed foods typical of Western diets. The data from clinical trials suggest that low-AGE diets are beneficial for improving insulin sensitivity in nondiabetic individuals including healthy and overweight adults, obese people with metabolic syndrome, and women with polycystic ovary syndrome as well as glucose metabolism in patients with type 2 diabetes. The chapter summarizes evidence regarding the effects of dietary AGE modulation in the pathophysiology of insulin resistance in humans. Clinical studies have shown that consumption of low-AGE diets improved insulin sensitivity in nondiabetic individuals.
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) | 0.015 | 0.005 |
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".