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Record W2114047184 · doi:10.1161/atvbaha.107.145557

Increased Enzyme Activity and β-Adrenergic–Mediated Vasodilation in Subjects Expressing a Single-Nucleotide Variant of Human Adenylyl Cyclase 6

2007· article· en· W2114047184 on OpenAlexaff
Robert Gros, Stan Van Uum, Adam Hutchinson‐Jaffe, Qingming Ding, J. Geoffrey Pickering, Robert A. Hegele, Ross D. Feldman

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhosphodiesterase function and regulation
Canadian institutionsWestern University
Fundersnot available
KeywordsAdenylyl cyclaseVasodilationEnzymeAdrenergicNucleotideADCY9ChemistryADCY3EndocrinologyInternal medicineMedicineBiochemistryGeneReceptor

Abstract

fetched live from OpenAlex

OBJECTIVE: cAMP is a critical regulator of metabolic and cardiovascular function. However, the role of genetic variability in the regulation of cAMP-mediated effects is unclear. Therefore, we assessed the effect of the expression of a recently identified missense genetic variant of adenylyl cyclase isoform 6 (ADCY6 S674). METHODS AND RESULTS: In rat vascular smooth muscle cells, gene transfer of ADCY6 S674 increased adenylyl cyclase activity and arborization to a greater extent than gene transfer of ADCY6 A674. Similarly, in adherent mononuclear leukocyte cells isolated from ADCY6 S674-expressing human subjects, both adenylyl cyclase activity and adenylyl cyclase-mediated cell retraction were significantly increased. Additionally, in dorsal hand vein LVDT studies, subjects expressing the hyper-functional ADCY6 S674 variant had significantly greater vascular sensitivity to the beta-adrenergic agonist isoproterenol as assessed by both a greater potency and greater maximal effect than subjects expressing the ADCY6 A674 enzyme. CONCLUSIONS: These data indicate that the expression of a novel, relatively common variant of ADCY6 parallels an increase in adenylyl cyclase activity and adenylyl cyclase-mediated function in humans.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.024
GPT teacher head0.262
Teacher spread0.238 · 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

Citations12
Published2007
Admission routes1
Has abstractyes

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