Evidence map›Paper›PMID 32562156›Full record

ReviewCurrent cardiology reports2020

Reprogramming of Non-myocytes into Cardiomyocyte-like Cells: Challenges and Opportunities.

Gregory Farber, Li Qian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2020. 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
–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

5 citing papers in PubMed.

  1. Fibroblast Reprogramming in Cardiac Repair.JACC. Basic to translational science · 2024
    Review
  2. Article
  3. Article
  4. Non-coding RNAs in Cardiac Regeneration.Frontiers in physiology · 2021
    Review
  5. The developing heart: fromDevelopment (Cambridge, England) · 2020
    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

2 authors.

Gregory FarberMcAllister Heart Institute, University of North Carolina, Chapel Hill, NC, 27599, USA.
Li QianMcAllister Heart Institute, University of North Carolina, Chapel Hill, NC, 27599, USA. li_qian@med.unc.edu.ORCID 0000-0001-7614-5618

Funding

Molecular mechanisms of direct cardiac reprogrammingR01HL128331 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI QIAN, LI · 2016 to 2020
$2.1M
Understanding Human Cardiomyocyte Fate AcquisitionR01HL144551 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI QIAN, LI · 2019 to 2020
$923k
NHLBI NIH HHS R01 HL128331NHLBI NIH HHS R01 HL144551
6 · The paper itself

Abstract

purpose of reviewThe high global incidence of heart disease drives the need for methods of mending damaged hearts. Direct reprogramming of cardiac fibroblasts into cardiomyocyte-like cells (called iCMs) has been successful in the creation of new muscle cells, in the repair of hearts post-myocardial injury, and therefore has great promise for the clinic. The purpose of this paper is to review and highlight the approaches for and underlying molecular mechanisms of direct cardiac reprogramming. RECENT

findingsSingle-cell genomics and mechanistic studies have elucidated the stepwise transition of fibroblasts to iCMs as well as the molecular roadblocks that hinder reprogramming. Cardiac fibroblasts are able to be directly reprogrammed, in vitro and in vivo, into induced cardiomyocyte-like cells by the ectopic expression of a combination of transcription factors, microRNAs or small molecules. Recent works have illustrated methods that improve the efficiency of iCM generation and delivery of reprogramming cocktails as well as have revealed the molecular networks governing the reprogramming process. Current studies have also begun to identify and address the additional hurdles in human iCM reprogramming.

Indexed as

Heart DiseasesMicroRNAsCellular ReprogrammingFibroblastsHumansMyocytes, CardiacMicroRNAsCardiomyocytesDirect reprogrammingFibroblastiCM

Identifiers

What OpenQuestion holds

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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.