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Record W2324790476 · doi:10.1097/fjc.0000000000000142

Inhibitory Effect of Hydrogen Sulfide on Platelet Aggregation and the Underlying Mechanisms

2014· article· en· W2324790476 on OpenAlexaff
Lingling Zhong, Lei Lv, Jiayin Yang, Xiaohong Liao, Jiangang Yu, Rui Wang, Ping Zhou

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsLakehead University
FundersFudan University
KeywordsChemistryPlateletAdenosine diphosphateBiochemistryPharmacologyCell biologyInternal medicinePlatelet aggregationBiologyMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.258
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2014
Admission routes1
Has abstractyes

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