Bibliographic record
Abstract
PURPOSE OF REVIEW: The physiological and pathophysiological importance of endogenous hydrogen sulfide to cardiovascular health has been recognized in recent years. The signaling mechanisms underlying the multifaceted vascular effects of H2S, on the contrary, have been unclear. This article reviews recent literature on cellular and molecular events triggered or modulated by H2S in the vascular system over the period of 2009-2010. RECENT FINDINGS: H2S causes protein S-sulfhydration. The activation of ATP-sensitive K channels (KATP channels) by H2S likely occurs as the result of specific cysteine residues of KATP channel proteins being S-sulfhydrated. Produced in endothelial cells and inducing smooth muscle hyperpolarization, H2S appears to functioning as an endothelium-derived hyperpolarizing factor. The inhibition of phosphodiesterases by endogenous H2S is an additional exciting discovery, which offers answers for the differential vascular effects of this gasotransmitter due to the tissue-specific distribution of different isozymes of phosphodiesterases. Furthermore, endothelial cells and smooth muscle cells have opposite growth responses to H2S stimulation, involving the same sets of signaling molecules. SUMMARY: An array of signaling pathways in vascular tissues is enlisted by endogenous H2S. An insightful understanding of these signaling mechanisms would help elucidate the pathogenesis of selective cardiovascular diseases and develop related therapeutic interventions by targeting H2S metabolism.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".