Inhibitory Effect of Hydrogen Sulfide on Platelet Aggregation and the Underlying Mechanisms
Bibliographic record
Abstract
H2S (hydrogen sulfide) possesses anti-inflammatory and antioxidant capabilities and offers cardiovascular protection. The effect of H2S on platelet function, however, has been less clear. Platelet activation is a key step in the initiation and development of atherothrombotic diseases. This study explored the effects and mechanisms of H2S on human platelet in vitro and under dyslipidemia conditions. This study indicated that the collagen-induced aggregation of washed human platelets, adenosine triphosphate release, and TXA2 formation were inhibited by NaHS incubation. Furthermore, NaHS significantly decreased intracellular calcium concentration in washed human platelets stimulated with collagen and inhibited collagen-induced c-PLA2, p38 MAPK, ERK, JNK, PLC-γ2, and Akt phosphorylation. Finally, NaHS inhibited the aggregation of washed human platelets induced by oxidized low-density lipoprotein plus collagen. The level of plasma lipids and the collagen-induced rapid platelet aggregation in ApoE knockout mice were also significantly decreased by NaHS treatment. Our study shows that NaHS is able to inhibit platelet aggregation induced by collagen. The underlying mechanisms are related to NaHS-induced changes in various signaling pathways and [Ca]i in the platelets. The interaction of NaHS and platelets is also affected by lipid 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) | 0.000 | 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 | 0.000 |
| 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".