Evidence map›Paper›PMID 38664609›Full record

ArticleBMC cardiovascular disorders2024

Association of uncertain significance genetic variants with myocardial mechanics and morphometrics in patients with nonischemic dilated cardiomyopathy.

Karolina Mėlinytė-Ankudavičė, Marius Šukys, Gabrielė Kasputytė, Ričardas Krikštolaitis, Eglė Ereminienė, Grytė Galnaitienė, Vaida Mizarienė, Gintarė Šakalytė, Tomas Krilavičius, Renaldas Jurkevičius

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

10 authors at 2 institutions in 1 country.

Karolina Mėlinytė-AnkudavičėDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania. karolina.melinyte.ankudavice@lsmu.lt.
Marius ŠukysDepartment of Genetics and Molecular Medicine, Lithuanian University of Health Sciences, Kaunas, LT-50161, Lithuania.
Gabrielė KasputytėFaculty of Informatics, Vytautas Magnus University, Kaunas, LT-44248, Lithuania.
Ričardas KrikštolaitisFaculty of Informatics, Vytautas Magnus University, Kaunas, LT-44248, Lithuania.
Eglė EreminienėDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania.
Grytė GalnaitienėDepartment of Radiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania.
Vaida MizarienėDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania.
Gintarė ŠakalytėDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania.
Tomas KrilavičiusFaculty of Informatics, Vytautas Magnus University, Kaunas, LT-44248, Lithuania.
Renaldas JurkevičiusDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, LT-44307, Lithuania.
Lithuanian University of Health Sciences · LTVytautas Magnus University · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCareful interpretation of the relation between phenotype changes of the heart and gene variants detected in dilated cardiomyopathy (DCM) is important for patient care and monitoring.

objectiveWe sought to assess the association between cardiac-related genes and whole-heart myocardial mechanics or morphometrics in nonischemic dilated cardiomyopathy (NIDCM).

methodsIt was a prospective study consisting of patients with NIDCM. All patients were referred for genetic testing and a genetic analysis was performed using Illumina NextSeq 550 and a commercial gene capture panel of 233 genes (Systems Genomics, Cardiac-GeneSGKit®). It was analyzed whether there are significant differences in clinical, two-dimensional (2D) echocardiographic, and magnetic resonance imaging (MRI) parameters between patients with the genes variants and those without. 2D echocardiography and MRI were used to analyze myocardial mechanics and morphometrics.

resultsThe study group consisted of 95 patients with NIDCM and the average age was 49.7 ± 10.5. All echocardiographic and MRI parameters of myocardial mechanics (left ventricular ejection fraction 28.4 ± 8.7 and 30.7 ± 11.2, respectively) were reduced and all values of cardiac chambers were increased (left ventricular end-diastolic diameter 64.5 ± 5.9 mm and 69.5 ± 10.7 mm, respectively) in this group. It was noticed that most cases of whole-heart myocardial mechanics and morphometrics differences between patients with and without gene variants were in the genes GATAD1, LOX, RASA1, KRAS, and KRIT1. These genes have not been previously linked to DCM. It has emerged that KRAS and KRIT1 genes were associated with worse whole-heart mechanics and enlargement of all heart chambers. GATAD1, LOX, and RASA1 genes variants showed an association with better cardiac function and morphometrics parameters. It might be that these variants alone do not influence disease development enough to be selective in human evolution.

conclusionsCombined variants in previously unreported genes related to DCM might play a significant role in affecting clinical, morphometrics, or myocardial mechanics parameters.

Indexed as

Cardiomyopathy, DilatedGenetic Predisposition to DiseasePhenotypeVentricular Function, LeftAdultBiomechanical PhenomenaEchocardiographyFemaleGenetic Association StudiesGenetic VariationHumansMagnetic Resonance ImagingMaleMiddle AgedMyocardial ContractionPredictive Value of Tests2D echocardiographyDilated cardiomyopathyGeneticsHeart failureMagnetic resonance imaging

Identifiers

PMID38664609
PMCPMC11044472
OpenAlexW4395456487

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.