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Record W4403149781 · doi:10.1210/jendso/bvae163.553

7454 Angiotensin AT1 Receptor Type 1 (AT1) Autoantibodies In Patients with Primary Aldosteronism

2024· article· en· W4403149781 on OpenAlexaff
Jotinder K. Waraich, Gregory Kline, May Y. Choi, Ronald J. Sigal, Cori Caughlin, Stefan Przybojewski, Alexander A. C. Leung

Bibliographic record

VenueJournal of the Endocrine Society · 2024
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAngiotensin II receptor type 1AutoantibodyPrimary aldosteronismMedicineInternal medicineAngiotensin IIReceptorEndocrinologyAntibodyImmunologyAldosterone

Abstract

fetched live from OpenAlex

Abstract Disclosure: J.K. Waraich: None. G. Kline: None. M.Y. Choi: None. R.J. Sigal: None. C. Caughlin: None. S.J. Przybojewski: None. A. Leung: None. Background: Primary aldosteronism (PA) is a condition characterized by excessive aldosterone secretion, and accounts for at least 10% - 20% of all cases of hypertension. Determination of PA subtype (i.e., unilateral vs. bilateral aldosterone hypersecretion) is clinically important to inform targeted treatment. We hypothesized that pathogenesis of PA is immune-mediated and autoantibodies to angiotensin receptor type 1 (AT1) may determine PA subtype. Aims: The aim of this study was to examine whether AT1 autoantibodies predict PA subtype. Methods: We conducted a cross-sectional study of patients with PA who were referred for adrenal vein sampling (AVS) for subtyping. AT1 autoantibody titres were measured using an enzyme-linked immunosorbent assay. AT1 antibodies were defined as present when the titre was >17 U/mL, negative if <10 U/mL, and indeterminate if between 10-17 U/mL. AVS was used as a gold standard to determine lateralization and PA . The frequency of positive AT1 autoantibodies was determined according to PA subtype and clinical predictors of lateralization. Baseline patient characteristics were reported as means (and standard deviations) for normally distributed variables, and medians (and interquartile ranges) for non-normally distributed variables. Fisher’s exact test was performed for categorical variables and Kruskal-Wallis test for continuous variables. Results: 54 patients had successful cannulation of both adrenal veins (mean age, 52.7 years; 46.3% male; mean body mass index, 31.2 kg/m2). AT1 antibodies were detected in 14 (25.9%) of the patients, absent in 32 (59.3%), and indeterminate in 8 (14.8%). Among the 25 patients with unilateral PA, 8 (32.0%) had positive AT1 antibodies, 15 (60.0%) negative, and 2 (8.0%) indeterminate. Similarly, among the 29 patients with bilateral PA, 6 (20.7%) had positive AT1 antibodies, 17 (58.6%) negative, and 6 (20.7%) indeterminate. There was no significant association detected between AT1 antibody status and lateralization (p=0.39). There were no associations between AT1 autoantibody status and any of the clinical factors traditionally predictive of PA, including sex (p=0.94), older age (p=0.76), hypokalemia (p=0.91), higher estimated glomerular filtration rate (p=0.46), or magnitude of aldosterone-to-renin ratio elevation (p=0.58). There was also no association between AT1 titres and these factors. Conclusion: AT1 autoantibodies are common in patients with PA; over a quarter of patients who underwent AVS in our study. Although they were not predictive of PA subtype, these results may still suggest that PA is immune-mediated. Future studies comparing AT1 autoantibodies in PA to other controls are underway. Presentation: 6/1/2024

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.235

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 head0.009
GPT teacher head0.242
Teacher spread0.232 · 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 designObservational
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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