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Record W1970051075 · doi:10.1055/s-0029-1243602

Aberrant Hormone Receptors in Primary Aldosteronism

2010· review· en· W1970051075 on OpenAlexafffund
Tânia Longo Mazzuco, Solange Grunenwald, Antoine Lampron, Isabelle Bourdeau, André Lacroix

Bibliographic record

VenueHormone and Metabolic Research · 2010
Typereview
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersCanadian Institutes of Health Research
KeywordsPrimary aldosteronismAldosteroneEndocrinologyHyperaldosteronismInternal medicineReceptorMedicineMineralocorticoidRenin–angiotensin systemBiologyBlood pressure

Abstract

fetched live from OpenAlex

The mechanisms involved in the renin-independent regulation of aldosterone secretion in primary aldosteronism are poorly understood. In ACTH-independent Cushing's syndrome, cortisol secretion can be regulated by the aberrant expression of G-protein coupled receptors (GPCRs) in unilateral tumors and bilateral macronodular adrenal hyperplasia. By analogy, some recent studies identified overexpression or function of several GPCR as a potential cause for excess aldosterone production in some aldosteronomas and in bilateral idiopathic hyperaldosteronism. Initial studies have used in vitro techniques, while the clinical aldosterone responses were not assessed. More recently, several receptors have been shown to be expressed in aldosterone-producing adrenal tumors in vitro and to regulate aberrantly renin-independent aldosterone secretion in vivo. The prevalence of aberrant hormone receptors in primary aldosteronism could be elevated, but larger systematic studies are required to establish its true frequency. The identification of aberrant adrenal GPCRs by in vivo functional studies offers the potential for novel pharmacological therapies that either suppress the endogenous ligands or block the receptor with specific antagonists.

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)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.140
GPT teacher head0.410
Teacher spread0.270 · 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

Citations23
Published2010
Admission routes2
Has abstractyes

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