Evidence map›Paper›PMID 35643805›Full record

ArticleBasic research in cardiology2022

Multiparametric MRI identifies subtle adaptations for demarcation of disease transition in murine aortic valve stenosis.

Christine Quast, Frank Kober, Katrin Becker, Elric Zweck, Jasmina Hoffe, Christoph Jacoby, Vera Flocke, Isabella Gyamfi-Poku, Fabian Keyser, Kerstin Piayda and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Basic research in cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 15 citations in OpenAlex.

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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

20 authors at 4 institutions in 2 countries.

Christine QuastCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Frank KoberAix‑Marseille Université, CNRS, CRMBM, Marseille, France.
Katrin BeckerCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Elric ZweckCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Jasmina HoffeCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Christoph JacobyCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Vera FlockeExperimental Cardiovascular Imaging, Department of Molecular Cardiology, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany.
Isabella Gyamfi-PokuCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Fabian KeyserCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Kerstin PiaydaCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Ralf ErkensCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Sven NiepmannHeart Centre Bonn, Clinic for Internal Medicine II, University Hospital Bonn, Bonn, Germany.
Matti AdamClinic for Cardiology, University Hospital Cologne, Cologne, Germany.
Stephan BaldusClinic for Cardiology, University Hospital Cologne, Cologne, Germany.
Sebastian ZimmerHeart Centre Bonn, Clinic for Internal Medicine II, University Hospital Bonn, Bonn, Germany.
Georg NickenigHeart Centre Bonn, Clinic for Internal Medicine II, University Hospital Bonn, Bonn, Germany.
Maria GrandochDepartment of Pharmacology and Clinical Pharmacology, Heinrich Heine University, Düsseldorf, Germany.
Florian BönnerCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Malte KelmCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Ulrich FlögelCardiovascular Research Laboratory, Division of Cardiology, Pulmonary Diseases and Vascular Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany. floegel@uni-duesseldorf.de.ORCID http://orcid.org/0000-0001-7181-4392
Heinrich Heine University Düsseldorf · DEUniversity Hospital Bonn · DEUniversity Hospital Cologne · DECentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic valve stenosis (AS) is the most frequent valve disease with relevant prognostic impact. Experimental model systems for AS are scarce and comprehensive imaging techniques to simultaneously quantify function and morphology in disease progression are lacking. Therefore, we refined an acute murine AS model to closely mimic human disease characteristics and developed a high-resolution magnetic resonance imaging (MRI) approach for simultaneous in-depth analysis of valvular, myocardial as well as aortic morphology/pathophysiology to identify early changes in tissue texture and critical transition points in the adaptive process to AS. AS was induced by wire injury of the aortic valve. Four weeks after surgery, cine loops, velocity, and relaxometry maps were acquired at 9.4 T to monitor structural/functional alterations in valve, aorta, and left ventricle (LV). In vivo MRI data were subsequently validated by histology and compared to echocardiography. AS mice exhibited impaired valve opening accompanied by significant valve thickening due to fibrotic remodelling. While control mice showed bell-shaped flow profiles, AS resulted not only in higher peak flow velocities, but also in fragmented turbulent flow patterns associated with enhanced circumferential strain and an increase in wall thickness of the aortic root. AS mice presented with a mild hypertrophy but unaffected global LV function. Cardiac MR relaxometry revealed reduced values for both T1 and T2 in AS reflecting subtle myocardial tissue remodelling with early alterations in mitochondrial function in response to the enhanced afterload. Concomitantly, incipient impairments of coronary flow reserve and myocardial tissue integrity get apparent accompanied by early troponin release. With this, we identified a premature transition point with still compensated cardiac function but beginning textural changes. This will allow interventional studies to explore early disease pathophysiology and novel therapeutic targets.

Indexed as

Aortic Valve StenosisMultiparametric Magnetic Resonance ImagingAnimalsAortic ValveEchocardiographyMiceVentricular Function, LeftAortic flow patternsAortic valve stenosisMRITissue characterizationVessel wall remodelling

Identifiers

PMID35643805
PMCPMC9148878
OpenAlexW4281620584

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.