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Record W2129907682 · doi:10.1021/tx034097p

Organic Nitrites and NO:  Inhibition of Lipid Peroxidation and Radical Reactions

2004· article· en· W2129907682 on OpenAlexaff
Adrian C. Nicolescu, James N. Reynolds, L. R. C. Barclay, Gregory R. J. Thatcher

Bibliographic record

VenueChemical Research in Toxicology · 2004
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsQueen's UniversityMount Allison University
Fundersnot available
KeywordsLipid peroxidationChemistryTBARSBiochemistryPeroxynitriteAntioxidantSuperoxideEnzyme

Abstract

fetched live from OpenAlex

Organic nitrites, such as i-amyl nitrite (IAN), are nitrovasodilator drugs used both clinically and recreationally. Nitrites are also chemically reasonable biological products of NO metabolism, in particular in both inhibition of lipid peroxidation by NO and induction of lipid peroxidation by peroxynitrite and NO2. Nitrites are also potential products of biomolecule nitrosation and intermediates in biotransformation of nitrate vasodilators. Although mechanisms can be drawn for both prooxidant and antioxidant activity, IAN has been observed to inhibit lipid peroxidation in a variety of systems. To test if the antioxidant activity of nitrites results from NO release alone, inhibition of lipid peroxidation was studied for four organic nitrites and four NO donor NONOates. Iron-induced lipid peroxidation in synaptosomal tissue homogenates and azo compound-initiated lipid peroxidation in liposomes and linoleic acid SDS comicelles were examined. Lipid peroxidation was quantified by TBARS and oxygen uptake analysis. A good correlation of rate of NO release with IC50 for inhibition of lipid peroxidation was observed for the NONOates, compatible with lipid radical chain termination by NO, for which a chain termination stoichiometry of 0.4-0.5 mol of lipid peroxyl radicals per mole of NO was determined. In neutral aqueous solution, nitrites also spontaneously released NO as measured by chemiluminescence; however, no correlation was observed between the rate constants of NO release for the nitrites and their inhibitor potency toward lipid peroxidation. Long chain nitrites were seen to be relatively good inhibitors of lipid peroxidation by mechanisms that must involve factors in addition to simple homolysis to release NO. Evidence for direct alpha-hydrogen atom abstraction from the nitrite by peroxyl radicals was obtained by analysis of aldehyde products and supported by MO calculations. The data suggest that lipid nitrites formed as NO chain termination products have the capacity to further inhibit lipid peroxidation and to release NO.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.009
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.049
GPT teacher head0.367
Teacher spread0.318 · 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

Citations31
Published2004
Admission routes1
Has abstractyes

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