Attenuation of hypertension development by scavenging methylglyoxal in fructose-treated rats
Bibliographic record
Abstract
OBJECTIVES: Methylglyoxal is a reactive dicarbonyl intermediate of metabolism produced in the body. It reacts with certain proteins and forms damaging advanced glycation endproducts (AGEs) such as N epsilon-carboxyethyl-lysine (CEL) and N epsilon-carboxymethyl-lysine (CML). Increased methylglyoxal levels are found in diabetes mellitus and associated with hypertension development in the spontaneously hypertensive rats (SHR). The purpose of this study was to investigate whether increased endogenous formation of methylglyoxal and methylglyoxal-induced AGEs caused hypertension development in normotensive Sprague Dawley rats. METHODS: The rats were fed chronically for 16 weeks with fructose, a known precursor of methylglyoxal formation. One group of rats was cotreated with fructose and metformin, an AGEs formation inhibitor. Methylglyoxal and reduced glutathione (GSH) were measured by high performance liquid chromatography, whereas hydrogen peroxide was measured by a dicholorofluorescin assay. Immunohistochemistry was performed for endothelial nitric oxide synthase (eNOS), CEL and CML. RESULTS: Fructose-fed rats had elevated blood pressure, serum methylglyoxal and triglycerides and reduced serum levels of GSH. Methylglyoxal, hydrogen peroxide and CEL were increased in the aorta, whereas eNOS was reduced. CEL and CML were also increased in the mesenteric artery endothelium along with media/lumen ratio, signifying structural remodelling. All the harmful changes in fructose-fed rats were attenuated in metformin and fructose cotreated rats. CONCLUSION: Increased methylglyoxal, AGEs, oxidative stress and reduced eNOS along with structural remodeling of the vessel wall in the aorta and mesenteric artery likely play a role in the pathogenesis of hypertension.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".