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Record W2077696109 · doi:10.1158/1940-6207.prev-09-a42

Abstract A42: Comparison between NO-ASA and NONO-ASA as safe anti-inflammatory, analgesic, antipyretic, antioxidant chemopreventive prodrugs

2010· article· en· W2077696109 on OpenAlexaff
Mitali Chattopadhyay, Carlos Velázquez, Larry K. Keefer, Khosrow Kashfi

Bibliographic record

VenueCancer Prevention Research · 2010
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAspirinAnalgesicAnti-inflammatoryProdrugPharmacologyAntipyreticCarrageenanChemistryOral administrationMedicineBiochemistry

Abstract

fetched live from OpenAlex

Abstract Introduction: Chronic inflammation is widely recognized as an underlying etiological factor in carcinogenesis; there is enough evidence to support the use of non-steroidal anti-inflammatory drugs (NSAIDs), and more importantly, their chemically-modified NO-releasing prodrugs (NO-NSAIDs) as promising chemopreventive agents. Metabolic activation of organic nitrate-containing NO-aspirins may lead to a cytotoxic “activated” linker (a quinone methide), raising safety concerns. Replacement of organic nitrates with N-diazeniumdiolates as a second-generation NONO-NSAIDs allowed us to conduct a head-to-head comparison between NCX-4016 (NO-aspirin), CVM-01 (NONO-aspirin), and aspirin as analgesic, anti-inflammatory, and anti-pyretic agents with no significant gastrointestinal toxicity. Methods: a) Anti-inflammatory: paw edema induced by intraplantar injection of 100 µL of 1% carrageenan, paw volumes measured up to the tibiotarsal joint immediately prior to carrageenan injection and thereafter at 1hr intervals up to 6hrs. Drugs were administered orally 1 hr before carrageenan; b) Anti-pyretic: body core temperature was measured twice at 15 min intervals before administration of lipopolysaccaride (LPS, 50µg/kg, ip) to induce fever. Drugs administered 1hr before LPS; c) analgesic: the time-dependent analgesic effect of prodrugs was evaluated by carrageenan-induced hyperalgesia. Drugs were administered orally 2.5 hours after carrageenan; d) Anti-ulcerogenic: Rats fasted for 48h before drug administration. After 6 hrs animals were euthanized, stomachs removed, cut along the greater curvature, lightly rinsed with water, and observed (with magnifying lenses) to count the numbers and measure the lengths (in mm) of all hemorrhagic lesions (“gastric damage score”) for each stomach. Tissue samples immediately frozen in liquid nitrogen for PGE2, SOD, and MDA determination. Results: NCX-4016 and CVM-01 decreased the carrageenan-induced edema 1h after administration and maintained this anti-inflammatory effect throughout the experiment (up to 7h). Both compounds showed improved anti-inflammatory effect compared to aspirin 3–7h post administration. All test drugs (aspirin, NCX-4016, and CVM-01) were effective anti-pyretics, decreasing the body core temperature starting at 1h post-administration. At the end of the assay (5h) aspirin prodrugs showed slightly improved anti-pyretic effect compared to aspirin. Despite a drastic reduction of PGE2 levels induced by NCX-4016 and CVM-01 in stomach tissue, both prodrugs were devoid of gastric side effects (gastric index < 5) aspirin (GI=48). Lipid peroxidation induced by aspirin (MDA=57 nmol/mg protein) was higher than that observed by the prodrugs NCX-4016 (MDA= 9nmol/mg) and CVM-01 (13 nmol/mg), which resembled control tissue (MDA=12 nmol/mg). Superoxide dismutase (SOD): aspirin (SOD=12 U/mL), NCX-4016 (SOD=21 U/mL), CVM-01 (20 U/mL), control tissue (23 U/mL). Conclusions: The N-diazeniumdiolate containing aspirin prodrug CVM-01 is as effective as NCX-4016 (an organic nitrate-containing aspirin prodrug) in anti-inflammatory, analgesic, and anti-pyretic assays in vivo, and it showed an equivalent safety profile in stomach. These results underscore the use of diazeniumdiolate-containing NSAIDs (NONO-NSAIDs) in future chemopreventive assays. Citation Information: Cancer Prev Res 2010;3(1 Suppl):A42.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.040
GPT teacher head0.410
Teacher spread0.370 · 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.

Study designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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