?-Adrenergic stimulation produces a decrease of cardiac contractility ex vivo in mice overexpressing the human ?-adrenergic receptor
Bibliographic record
Abstract
OBJECTIVES: The regulation of cardiac function by catecholamines involves three populations of beta-adrenoceptor (beta-AR). beta(1)- and beta(2)-AR stimulations produce an increase in contractility and beta(3)-AR stimulation mediates a negative inotropic effect in human ventricular muscle. Because of the lack of suitable animal models, we have generated transgenic mice with cardiac-specific expression of the human beta(3)-AR (TG beta(3) mice). METHODS: TG beta(3) mice were produced by microinjection of the human beta(3)-AR under the control of the alpha myosin heavy chain promoter. Phenotypic analyses comprised beta(3)-AR mRNA and protein determinations, histological studies, electrocardiogram, contractility and cyclic nucleotide measurements. RESULTS: TG beta(3) mice presented no histological evidence of myocyte hypertrophy or fibrogenesis. In basal conditions, TG beta(3) mice were characterized by an increase in heart rate and an acceleration of twitch parameters without modification of its amplitude. beta(3)-AR agonists (CL 316243, SR 58611A) decreased contractility at low concentrations (1-100 nM). At high concentrations, the negative inotropic effect was abolished. Pretreatment with nadolol, a beta(1)/beta(2)-AR blocker, blunted the rebound in peak tension elicited by beta(3)-AR agonists suggesting a non-specific action of these compounds on beta(1)- and beta(2)-AR. The involvement of beta(3)-AR in the negative inotropic effect was confirmed by the pretreatment with bupranolol, a non-selective beta-AR antagonist, which fully abolished the effects of SR 58611A. The negative inotropic effect was associated with an increase in intracellular cGMP level. CONCLUSIONS: We conclude that cardiac overexpression of beta(3)-AR in mice reproduces ex vivo the negative inotropic effects obtained with beta(3)-AR stimulation in human ventricular tissues.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".