Mitochondrial Dysfunction, Oxidative Stress and Diabetic Cardiovascular Disorders
Bibliographic record
Abstract
The prevalence of diabetes has been rapidly increasing in world-wide countries. The dominant cause of mortality in diabetic patients is cardiovascular complications. Mechanism for the susceptibility of diabetic patients to cardiovascular disorders remains unclear. Elevated oxidative stress was detected in diabetic patients or in animal models. Mitochondria are one of major sources of reactive oxygen species (ROS) in cells. Mitochondrial dysfunction and DNA mutations have been detected in diabetic patients. Diabetes-associated metabolic disorders, including hyperglycemia, hypertriglyceridemia, hypercholesterolemia, hypoalphalipoproteinemia, and increased levels of advanced glycation end products, glycated and oxidized lipoproteins, are associated with oxidative stress. Glycated or oxidized low density lipoproteins (LDL) impair the activities of mitochondrial respiratory chain complex enzymes in vascular endothelial cells (EC). Dysfunction in mitochondrial respiration may increase the formation of ROS in mitochondria. NADPH oxidase (NOX) generates ROS in cytosol. Increased NOX activity was detected in diabetic patients. Glycated and oxidized LDL increase the expression of NOX and ROS production in EC. Diabetes-associated metabolic disorders may lead to mitochondrial dysfunction, NOX activation and excess ROS production, which results in oxidative stress and promotes cardiovascular disorders in diabetic patients. Statins, metformin and anthocyanidins may help to attenuate oxidative stress in vasculature induced by diabetes-associated metabolic disorders.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".