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Record W2916935088 · doi:10.1111/bph.14635

Cardiac β<sub>3</sub>‐adrenoceptors—A role in human pathophysiology?

2019· review· en· W2916935088 on OpenAlexfundno aff
Ebru Arioglu‐Inan, Gizem Kayki‐Mutlu, Martin C. Michel

Bibliographic record

VenueBritish Journal of Pharmacology · 2019
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsnot available
FundersAstellas Pharma CanadaDeutsche ForschungsgemeinschaftAnkara Universitesi
KeywordsInotropeHeart failurePathophysiologyDiabetes mellitusInternal medicineMedicineEndocrinologyAgonismPathologicalAdrenergic receptorBioinformaticsCardiologyBiologyReceptor

Abstract

As β 3 ‐adrenoceptors were first demonstrated to be expressed in adipose tissue they have received much attention for their metabolic effects in obesity and diabetes. After the existence of this subtype had been suggested to be present in the heart, studies focused on its role in cardiac function. While the presence and functional role of β 3 ‐adrenoceptors in the heart has not uniformly been detected, there is a broad consensus that they become up‐regulated in pathological conditions associated with increased sympathetic activity such as heart failure and diabetes. When detected, the β 3 ‐adrenceptor has been demonstrated to mediate negative inotropic effects in an inhibitory G protein‐dependent manner through the NO–cGMP–PKG signalling pathway. Whether these negative inotropic effects provide protection from the adverse effects induced by overstimulation of β 1 /β 2 ‐adrenoceptors or in themselves are potentially harmful is controversial, but ongoing clinical studies in patients with congestive heart failure are testing the hypothesis that β 3 ‐adrenceptor agonism has a beneficial effect. Linked Articles This article is part of a themed section on Adrenoceptors—New Roles for Old Players. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v176.14/issuetoc

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: fund_new · design weight: 1678.90 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Pharmacology review of cardiac beta3-adrenoceptors in human pathophysiology.

GPT-5.6 (high)OUT
genre: other
about Canada: no
confidence: high

It reviews cardiac receptor physiology and pharmacology, not research practice.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Pathophysiology review of cardiac β3-adrenoceptors; clinical/basic cardiology.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.005
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.005

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 head0.015
GPT teacher head0.301
Teacher spread0.286 · 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

Citations31
Published2019
Admission routes1
Has abstractyes

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