Hydrogen Sulfide and the Pathogenesis of Atherosclerosis
Bibliographic record
Abstract
SIGNIFICANCE: Stigmatized as a toxic environmental pollutant for centuries, hydrogen sulfide (H2S) has gained recognition over the last decade as an important gasotransmitter that functions in physiological and pathophysiological conditions, such as atherosclerosis. RECENT ADVANCES: Atherosclerosis is a common disease that stems from the buildup of fatty/cholesterol plaques on the endothelial cells of arteries. The deposits mitigate thickening and stiffening of arterial tissue, which contributes to concomitant systemic or localized vascular disorders. Recently, it has been recognized that H2S plays an anti-atherosclerotic role, and its deficiency leads to early development and progression of atherosclerosis. This review article presents multiple lines of evidence for the protective effects of H2S against the development of atherosclerosis. Also highlighted are the characterization of altered metabolism of H2S in the development of atherosclerosis, underlying molecular and cellular mechanisms, and potential therapeutic intervention based on H2S supplementation for atherosclerosis management. CRITICAL ISSUES: Although a protective role of H2S against atherosclerosis has emerged, controversy remains regarding the mechanisms underlying H2S-induced endothelial cell proliferation and angiogenesis as well as its anti-inflammatory properties. The therapeutic value of H2S to this pathophysiological condition has not been tested clinically but, nonetheless, it shows tremendous promise. FUTURE DIRECTIONS: The efficiency and safety profile of H2S-based therapeutic approaches should be refined, and the mechanisms by which H2S exerts its beneficial effects should be elucidated to develop more specific and potent therapeutic strategies to treat atherosclerosis. Whether the therapeutic effects of H2S in animal studies are transferable to clinical studies merits future investigation.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".