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Record W2137481836 · doi:10.1021/tx025529j

Inhibition of Lipid Peroxidation in Synaptosomes and Liposomes by Nitrates and Nitrites

2002· article· en· W2137481836 on OpenAlexaff
Adrian C. Nicolescu, Sergei I. Zavorin, Nicholas J. Turro, James N. Reynolds, Gregory R. J. Thatcher

Bibliographic record

VenueChemical Research in Toxicology · 2002
Typearticle
Languageen
FieldChemistry
TopicFree Radicals and Antioxidants
Canadian institutionsQueen's University
Fundersnot available
KeywordsLipid peroxidationChemistryTBARSLiposomeBiochemistryThiobarbituric acidAntioxidantNitric oxidePhospholipidNitriteOrganic chemistryMembraneNitrate

Abstract

fetched live from OpenAlex

NO is produced endogenously from arginine by the action of NO synthase, and exogenously by nitrovasodilators, including organic nitrates and nitrites. NO has been proposed as a cytotoxic and cytoprotective agent. There is strong evidence that NO acts as an apparent antioxidant in inhibiting lipid peroxidation, via chain termination, and interestingly lipid nitrates and nitrites have been proposed to be products of this chain termination. Both pro- and antioxidant mechanisms may be drawn for nitrates and nitrites; therefore, their effects on lipid peroxidation were measured in two systems, using tocopherol, thiol, and an NO donor for comparison: (1) rat cerebrocortical synaptosomes with Fe(II)-induced lipid peroxidation measured by thiobarbituric acid reactive substances (TBARS), and (2) phospholipid liposomes with an azo-initiator induction system, quantified by a fluorescent probe of peroxide formation. In contrast to the classical nitrate nitroglycerin, novel nitrates which release NO on reaction with thiols and two novel nitrates which spontaneously generate NO in aqueous solution inhibited lipid peroxidation. i-Amyl nitrite inhibited lipid peroxidation, and its properties were further studied with ESR spectroscopy. The data show that classical nitrites and novel nitrates are not prooxidants, but inhibit lipid peroxidation.

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)0.001
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 score0.017
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.051
GPT teacher head0.315
Teacher spread0.264 · 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

Citations27
Published2002
Admission routes1
Has abstractyes

Explore more

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