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Record W4297372112 · doi:10.21083/surg.v14i1.7082

N-Acetylcysteine (NAC) and its Immunomodulatory Properties

2022· article· en· W4297372112 on OpenAlexaffvenue
Sophie Tieu, Niel A. Karrow, Bonnie A. Mallard, Byram W. Bridle, Armen Charch, Lauri Wagter-Lesperance

Bibliographic record

VenueSURG Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAcetylcysteineContext (archaeology)Reactive oxygen speciesScavengerChemistryGlutathioneCysteineMechanism of actionHydrogen sulfideAntioxidantCombinatorial chemistrySulfurBiochemistryBiologyIn vitroEnzymeOrganic chemistry

Abstract

fetched live from OpenAlex

Despite the increasing interest and use of NAC over the decades, there remains much debate surrounding NAC’s mechanisms of action. It was widely believed that NAC exerts its antioxidant and cytoprotective properties through its ability to act as a scavenger of reactive oxygen species, a precursor for glutathione biosynthesis, and a disulfide reductant. However, these three major narratives are only applicable under specific circumstances and cannot explain NAC’s actions in a more general context. A newly emerging alternative mechanism of action of NAC involving hydrogen sulfide and sulfane sulfur species may serve to provide an explanation of NAC’s effects in a more generalized context. Part II of this review will provide an overview of NAC’s mechanisms of molecular action.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.017
GPT teacher head0.223
Teacher spread0.206 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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