Evidence map›Paper›PMID 40665095›Full record

ArticleGeroScience2026

Serum ACE2 activity as a novel biomarker of assessment of severe aortic stenosis.

Anita Kurczina, Arnold Péter Ráduly, Ivetta Mányiné Siket, Zsófia Pólik, Bertalan Kracskó, Attila Béla Kertész, Ágnes Balogh, Andrea Molnár, Tibor Fülöp, Laura Antal and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeroScience, 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

17 authors.

Anita KurczinaDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary. kurczina.anita@med.unideb.hu.ORCID 0009-0007-8815-7158
Arnold Péter RádulyDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary.
Ivetta Mányiné SiketDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Zsófia PólikDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Bertalan KracskóDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary.
Attila Béla KertészDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary.
Ágnes BaloghDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary.
Andrea MolnárDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary.
Tibor FülöpDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary.
Laura AntalDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary.
Csaba ÖtvösDepartment of Surgery, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Miklós FagyasDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Tamás SzerafinDivision of Cardiac Surgery, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Attila TóthDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Zoltán PappDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Zoltán CsanádiDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary.
Attila BorbélyDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Móricz Zsigmond str. 22., H-4032, Debrecen, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic stenosis (AS) is the most prevalent valve disease in developed countries, with its incidence rising in the aging population. The current criteria for aortic valve replacement (AVR) are based on subjective symptoms and left ventricular ejection fraction (LVEF), which may not adequately reflect left ventricular (LV) dysfunction. This highlights the necessity for objective biomarkers to evaluate subclinical LV dysfunction. Serum angiotensin-converting enzyme 2 (sACE2) has emerged as a promising novel biomarker for cardiovascular diseases. To investigate the association between sACE2 activity and different flow-grade categories of severe AS, compare it with the traditional biomarker N-terminal pro-brain natriuretic peptide (NT-proBNP), and assess the utility of sACE2 as a biomarker for AS. sACE2 and NT-proBNP were measured in 175 patients (97 male, 78 female, mean age 75 ± 8 years) diagnosed with severe AS (aortic valve area, AVA ≤ 1 cm

Indexed as

Aortic Valve StenosisPeptidyl-Dipeptidase AAgedAged, 80 and overAngiotensin-Converting Enzyme 2BiomarkersFemaleHumansMaleNatriuretic Peptide, BrainPeptide FragmentsSeverity of Illness IndexStroke VolumeVentricular Dysfunction, LeftACE2 protein, humanAngiotensin-Converting Enzyme 2BiomarkersNatriuretic Peptide, BrainPeptide FragmentsPeptidyl-Dipeptidase Apro-brain natriuretic peptide (1-76)Aortic stenosisBiomarkersLeft ventricular functionNT-proBNPsACE2

Identifiers

PMID40665095
PMCPMC12972217

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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.