Evidence map›Paper›PMID 31489928›Full record

ReviewInternational journal of molecular sciences2019

Human Induced Pluripotent Stem-Cell-Derived Cardiomyocytes as Models for Genetic Cardiomyopathies.

Andreas Brodehl, Hans Ebbinghaus, Marcus-André Deutsch, Jan Gummert, Anna Gärtner, Sandra Ratnavadivel, Hendrik Milting

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 68 citations in OpenAlex.

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  18. Cardiac Organoids and Gastruloids to Study Physio-Pathological Heart Development.Journal of cardiovascular development and disease · 2021
    Review
  19. Review
  20. Maturing heart muscle cells: Mechanisms and transcriptomic insights.Seminars in cell & developmental biology · 2021
    Review
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

7 authors at 1 institution in 1 country.

Andreas BrodehlErich and Hanna Klessmann Institute, Heart and Diabetes Center NRW, University Hospital of the Ruhr-University Bochum, Georgstrasse 11, D-32545 Bad Oeynhausen, Germany. abrodehl@hdz-nrw.de.ORCID 0000-0001-9202-2343
Hans EbbinghausErich and Hanna Klessmann Institute, Heart and Diabetes Center NRW, University Hospital of the Ruhr-University Bochum, Georgstrasse 11, D-32545 Bad Oeynhausen, Germany. hansebbinghaus@icloud.com.
Marcus-André DeutschDepartment of Thoracic and Cardiovascular Surgery, Heart and Diabetes Center NRW, University Hospital Ruhr-University Bochum, Georgstrasse 11, D-32545 Bad Oeynhausen, Germany. mdeutsch@hdz-nrw.de.
Jan GummertErich and Hanna Klessmann Institute, Heart and Diabetes Center NRW, University Hospital of the Ruhr-University Bochum, Georgstrasse 11, D-32545 Bad Oeynhausen, Germany. jgummert@hdz-nrw.de.
Anna GärtnerErich and Hanna Klessmann Institute, Heart and Diabetes Center NRW, University Hospital of the Ruhr-University Bochum, Georgstrasse 11, D-32545 Bad Oeynhausen, Germany. agaertner@hdz-nrw.de.
Sandra RatnavadivelErich and Hanna Klessmann Institute, Heart and Diabetes Center NRW, University Hospital of the Ruhr-University Bochum, Georgstrasse 11, D-32545 Bad Oeynhausen, Germany. sratnavadivel@hdz-nrw.de.
Hendrik MiltingErich and Hanna Klessmann Institute, Heart and Diabetes Center NRW, University Hospital of the Ruhr-University Bochum, Georgstrasse 11, D-32545 Bad Oeynhausen, Germany. hmilting@hdz-nrw.de.
Heart and Diabetes Center North Rhine-Westphalia · DE

Funding

Deutsche Forschungsgemeinschaft MI-1146/2-1Deutsche Stiftung für Herzforschung F07/17University of Bielefeld Forschungsfonds Medizin in der Region OWL
6 · The paper itself

Abstract

In the last few decades, many pathogenic or likely pathogenic genetic mutations in over hundred different genes have been described for non-ischemic, genetic cardiomyopathies. However, the functional knowledge about most of these mutations is still limited because the generation of adequate animal models is time-consuming and challenging. Therefore, human induced pluripotent stem cells (iPSCs) carrying specific cardiomyopathy-associated mutations are a promising alternative. Since the original discovery that pluripotency can be artificially induced by the expression of different transcription factors, various patient-specific-induced pluripotent stem cell lines have been generated to model non-ischemic, genetic cardiomyopathies in vitro. In this review, we describe the genetic landscape of non-ischemic, genetic cardiomyopathies and give an overview about different human iPSC lines, which have been developed for the disease modeling of inherited cardiomyopathies. We summarize different methods and protocols for the general differentiation of human iPSCs into cardiomyocytes. In addition, we describe methods and technologies to investigate functionally human iPSC-derived cardiomyocytes. Furthermore, we summarize novel genome editing approaches for the genetic manipulation of human iPSCs. This review provides an overview about the genetic landscape of inherited cardiomyopathies with a focus on iPSC technology, which might be of interest for clinicians and basic scientists interested in genetic cardiomyopathies.

Indexed as

Genetic Predisposition to DiseaseAnimalsBiomarkersCardiomyopathiesCell DifferentiationCellular ReprogrammingGenetic Association StudiesHumansInduced Pluripotent Stem CellsMutationMyocytes, CardiacBiomarkersARVCcardiomyocytescardiomyopathiescardiovascular geneticsDCMHCMinduced pluripotent stem cellsLVNCNCCMRCM

Identifiers

PMID31489928
PMCPMC6770343
OpenAlexW2971704859

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.