Lipoic acid prevents hypertension, hyperglycemia, and the increase in heart mitochondrial superoxide production
Bibliographic record
Abstract
BACKGROUND: The present study was designed to investigate whether the effects of dietary supplementation with alpha-lipoic acid could prevent the increase in mitochondrial superoxide production in the heart as well as the enhanced formation of advanced glycation end-products (AGE) that are associated with the development of hypertension and insulin resistance in chronically glucose-fed rats. METHODS: Sprague Dawley rats were either given or not given a 10% D-glucose solution to drink during 4 weeks, combined either with a normal chow diet or with alpha-lipoic acid supplemented diet. The oxidative stress was evaluated by measuring the heart mitochondrial superoxide production using the lucigenin chemiluminescence method. The formation of AGE was also assessed in plasma and aorta. RESULTS: Chronic administration of glucose resulted in a 29% increase in blood pressure, 30% increase in glycemia, 286% increase in insulinemia, and 408% increase in insulin resistance index. Chronic glucose feeding also resulted in a 22% greater mitochondrial superoxide anion production in heart and in an increase of 63% in AGE content in aorta. Increases in blood pressure, aorta AGE content and heart mitochondrial superoxide production were prevented in the rats fed glucose supplemented with lipoic acid. The simultaneous treatment with lipoic acid also attenuated the rise in insulin levels as well as in insulin resistance in the glucose fed rats. CONCLUSIONS: These findings demonstrate that alpha-lipoic acid supplementation prevents development of hypertension and hyperglycemia, presumably through its antioxidative properties, as reflected by prevention of an increase in heart mitochondrial superoxide anion production and in AGE formation in the aorta of chronically glucose treated rats.
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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) | 0.000 | 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) | 0.001 | 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".