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Record W2075945714 · doi:10.2174/1381612043384709

Pharmacology of Nitric Oxide: Molecular Mechanisms and Therapeutic Strategies

2004· review· en· W2075945714 on OpenAlexaff
Regoli Domenico

Bibliographic record

VenueCurrent Pharmaceutical Design · 2004
Typereview
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPeroxynitriteNitric oxideEnosChemistryEndothelial NOSPharmacologyReactive nitrogen speciesNitric oxide synthaseEndogenyHomeostasisReactive oxygen speciesStimulationEnzymeBiochemistryCell biologyBiologyNeuroscienceSuperoxide

Abstract

fetched live from OpenAlex

NO is considered to be an ubiquitous endogenous system which takes part in body's homeostatic regulations and in pathological events. NO derives from a) the actions of enzymes, the NO Synthases (NOS), which are constitutives (endothelial NOS (eNOS) and nervous NOS (nNOS)) and generate small amounts of NO and have homeostatic functions: and b) from the actions of inducible NOS (iNOS), which generate large amounts of NO and exert protective actions against noxious agents but also toxic effects (e.g. inhibition of enzymes) through the production of peroxynitrite (ONOO-). Modulation of the L-Arg/NO system may be used to obtain favourable therapeutic results, either by promoting (e.g. with NO donors) or by reducing (e.g. with NOS inhibitors) the production of NO. The present chapter will consider two approaches and four groups of potential therapeutic agents: 1) The stimulation of NO production with; a) agents which improve the efficiency of the Kallikrein-Kinin System; b) NO donors. 2) The reduction of excessive NO production with: a) inhibitors of NO Synthases; b) agents that reduce the formation of reactive nitrogen/ oxygen species (RNS / ROS).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.137
GPT teacher head0.442
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations46
Published2004
Admission routes1
Has abstractyes

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