Evidence map›Paper›PMID 42064648›Full record

ArticleJournal of translational autoimmunity2026

Agonistic autoantibodies targeting AT1R and ETAR: Mechanistic insights and emerging implications in cardiovascular disease.

Francesco Tona, Giacomo Bernava, Giovanni Civieri

Abstract read
In one paragraph

Article in Journal of translational autoimmunity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Francesco TonaClinical Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Giacomo BernavaCardiovascular Disease Modeling and Regenerative Medicine, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Giovanni CivieriClinical Cardiology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune mechanisms are increasingly recognized as contributors to cardiovascular disease, extending beyond the traditional view of autoantibodies as passive markers of tissue injury. Among functional autoantibodies, those targeting the angiotensin II type 1 receptor (AT1R) and the endothelin-1 type A receptor (ETAR) represent a distinctive class capable of inducing sustained, ligand-independent activation of vasoactive G protein-coupled receptors. Emerging experimental and translational evidence suggests that these agonistic autoantibodies may contribute to endothelial dysfunction, microvascular injury, and adverse cardiac remodelling through persistent receptor stimulation and downstream pro-inflammatory and pro-fibrotic signalling. Clinical observations, particularly in reperfused ST-elevation myocardial infarction, support an association with impaired myocardial reperfusion and unfavourable outcomes, although causality remains unproven. In this perspective, we aim to delineate the mechanistic framework of AT1R- and ETAR-targeting agonistic autoantibodies, critically appraise the available clinical evidence, and outline key priorities for their translational validation in cardiovascular disease. Further investigation is required to determine their potential role in risk stratification and as therapeutic targets. Integrating immunological markers into cardiovascular research may provide new avenues for translational advancement, while necessitating rigorous validation in well-designed clinical studies.

Identifiers

PMID42064648
PMCPMC13126027

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.