Application of Mitochondria-Targeted Pharmaceuticals for the Treatment of Heart Disease
Bibliographic record
Abstract
BACKGROUND: Mitochondria fulfill the massive energy demands of the human heart through oxidative phosphorylation (OXPHOS) which couples nutrient oxidation and the reduction of molecular oxygen (O2) to the phosphorylation of ADP. Reactive oxygen species (ROS) are also generated during OXPHOS which can be damaging at high levels but serve as secondary messengers when produced in a controlled manner. METHODS: Here, I review how disruption of control over mitochondrial ROS production can lead to the pathogenesis of a range of cardiovascular diseases (CVD) including decompensated left ventricular hypertrophy, alcoholic and diabetic hypertrophy, myocardial infarction (MI), ischemic-reperfusion injury (IR), and heart failure. In particular I focus on the function of protein S-glutathionylation (PGlu) reactions, a rapid and reversible redox signaling mechanism that involves the conjugation and removal of glutathione from cysteine switches, in the modulation of ROS production in myocardial mitochondria and how these reactions become deregulated in heart disease. I also discuss the use of mitochondria penetrating antioxidants in the treatment of heart disease. RESULTS: I propose that heart disease related to deregulated PGlu reactions can be treated with a novel and hypothetical class of mitochondria penetrating reduced glutathione (GSH) molecules called MitoGSH. This synthetic form of GSH can be tagged with either SS peptides or triphenylphosphonium ions to ensure accumulation in mitochondria which could restore glutathione levels and preserve redox buffering networks. CONCLUSION: Mitochondria penetrating antioxidants have been shown to be efficient at restoring mitochondrial antioxidant defense in CVD. However, CVD and various other disorders are associated with a depletion of GSH pools. Use of mitochondria-targeted GSH analogs could serve as a more efficient means of treating heart disease since it would allow for the direct restoration of GSH levels and preserve mitochondrial redox buffering and signaling capacity.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".