Evidence map›Paper›PMID 31889077›Full record

ArticleScientific reports2019

Serum circular RNAs act as blood-based biomarkers for hypertrophic obstructive cardiomyopathy.

Kristina Sonnenschein, Adriana Luisa Wilczek, David de Gonzalo-Calvo, Angelika Pfanne, Anselm Arthur Derda, Carolin Zwadlo, Udo Bavendiek, Johann Bauersachs, Jan Fiedler, Thomas Thum

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

48 citing papers in PubMed, 82 citations in OpenAlex.

  1. Review
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  10. Circular RNAs as Novel Biomarkers and Application in Cardiovascular Diseases.Advances in experimental medicine and biology · 2025
    Review
  11. Review
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  13. Biomolecules · 2024
    Article
  14. Review
  15. Circular RNAs: a small piece in the heart failure puzzle.Functional & integrative genomics · 2024
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  16. Review
  17. Review
  18. CircRNA-mediated regulation of cardiovascular disease.Frontiers in cardiovascular medicine · 2024
    Review
  19. 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 2 countries.

Kristina SonnenscheinInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Adriana Luisa WilczekInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
David de Gonzalo-CalvoInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Angelika PfanneInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Anselm Arthur DerdaInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Carolin ZwadloDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Udo BavendiekDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Johann BauersachsDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Jan FiedlerInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Thomas ThumInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany. Thum.Thomas@mh-hannover.de.
Medizinische Hochschule Hannover · DEInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is one of the most common hereditary heart diseases and is associated with a high risk of sudden cardiac death. HCM is characterized by pronounced hypertrophy of cardiomyocytes, fiber disarray and development of fibrosis and can be divided into a non-obstructive (HNCM) and obstructive form (HOCM) therefore requiring personalized therapeutic therapies. In the present study, we investigated the expression patterns of several circulating circular RNAs (circRNAs) as potential biomarkers in patients with HCM. We included 64 patients with HCM and 53 healthy controls to the study and quantitatively measured the expression of a set of circRNAs already known to be associated with cardiac diseases (circDNAJC6) and/or being highly abundant in blood (circTMEM56 and circMBOAT2). Abundancy of circRNAs was then correlated to relevant clinical parameters. Serum expression levels of circRNAs DNAJC6, TMEM56 and MBOAT2 were downregulated in patients with HCM. The inverse association between circRNA levels and HCM remained unchanged even after adjusting for confounding factors. All circRNAs, evaluated separately or in combination, showed a robust discrimination capacity when comparing control subjects with HCM, HNCM or HOCM patients (AUC from 0.722 to 0.949). Two circRNAs, circTMEM56 and circDNAJC6, significantly negatively correlated with echocardiographic parameters for HOCM. Collectively, circulating circRNAs DNAJC6, TMEM56 and MBOAT2 can distinguish between healthy and HCM patients. In addition, circTMEM56 and circDNAJC6 could serve as indicators of disease severity in patients with HOCM. Thus, circRNAs emerge as novel biomarkers for HCM facilitating the clinical decision making in a personalized manner.

Indexed as

Cell-Free Nucleic AcidsBiomarkersCardiomyopathy, HypertrophicCase-Control StudiesEchocardiographyFemaleHeart Function TestsHumansMaleOdds RatioRNA, CircularROC CurveBiomarkersCell-Free Nucleic AcidsRNA, Circular

Identifiers

PMID31889077
PMCPMC6937321
OpenAlexW2997311133

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.