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Vasodilator Effects of Organotransition-Metal Nitrosyl Complexes, Novel Nitric Oxide Donors

2000· article· en· W2314230250 on OpenAlexaff
Yong‐Xiang Wang, Peter Legzdins, Jason Wai‐Lok Poon, Catherine C.Y. Pang

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2000
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVasodilationSodium nitroprussideNitric oxidePhenylephrineChemistryIn vivoBlood vesselMethylene blueContraction (grammar)PharmacologyVasoconstrictionStereochemistryAnesthesiaInternal medicineBiochemistryMedicineBlood pressureBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Nitrovasodilators cause endothelium-independent relaxation of blood vessels by generating nitric oxide (NO). We examined the relaxation and depressor effects of two organotransition-metal nitrosyl complexes, CpCr(NO)2Cl and CpMo(NO)2Cl, relative to those of the prototypal nitrovasodilators, nitroglycerin, and sodium nitroprusside (SNP), in phenylephrine-preconstricted aortic rings and conscious, unrestrained rats. CpCr(NO)2Cl, CpMo(NO)2Cl, nitroglycerin and SNP caused dose-dependent relaxation of aortic rings at maximal responses (Emax) of -118+/-4, -113+/-4, -104+/-1, and -128+/-5% and EC50 of 0.14+/-0.04, 22+/-4, 1.23+/-0.65, and 0.063+/-0.013 microM, respectively. The dose-response curve of CpCr(NO)2Cl was displaced to the right by hemoglobin, as well as methylene blue, showing involvement of the NO/cGMP pathway. Unlike nitroglycerin, preexposure for 1 h to CpCr(NO)2Cl did not alter subsequent relaxation response to the compound. Intravenous bolus injections of CpCr(NO)2Cl, CpMo(NO)2Cl, nitroglycerin, and SNP caused dose-dependent decreases in MAP with Emax of -42+/-2, -51+/-8, -56+/-6, and -58+/-2 mm Hg and EC50 of 0.041+/-0.010, 13+/-4, 1.6+/-0.4, and 0.037+/-0.004 micromol/kg, respectively. These results show that CpCr(NO)2Cl and CpMo(NO)2Cl are efficacious nitrovasodilators in vitro and in vivo.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.244
Teacher spread0.237 · 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

Citations33
Published2000
Admission routes1
Has abstractyes

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