Evidence map›Paper›PMID 27755167›Full record

ReviewCurrent opinion in organ transplantation2016

Improving cardiac reprogramming for heart regeneration.

Liu Liu, Ienglam Lei, Zhong Wang

Abstract readReview
In one paragraph

Review in Current opinion in organ transplantation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Liu LiuDepartment of Cardiac Surgery, Frankel Cardiovascular Center, The University of Michigan, Ann Arbor, Michigan, USA.
Ienglam Lei
Zhong Wang

Funding

Epigenetic control of multipotent cardiac progenitor cell differentiationR01HL109054 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WANG, ZHONG · 2012 to 2016
$1.9M
NHLBI NIH HHS R01 HL109054
6 · The paper itself

Abstract

purpose of reviewCardiovascular disease is the leading cause of death in the world today, and the death rate has remained virtually unchanged in the last 20 years (American Heart Association). This severe life-threatening disease underscores a critical need for developing novel therapeutic strategies to effectively treat this devastating disease. Cell-based therapy represents an extremely promising approach. Generation of induced cardiomyocytes (iCMs) directly from fibroblasts offers an attractive novel strategy for in-situ heart regeneration. Major challenges of iCM reprogramming include the low conversion rate and heterogeneity of the iCMs. This review will summarize the major advancements in improving the iCM reprogramming efficiency and iCM maturation. RECENT

findingsNumerous studies have been published in the past 18 months to describe various strategies for achieving more efficient iCM reprogramming. These strategies are based on our understanding of the molecular mechanisms of cardiogenesis, which include transcriptional networks, signaling pathways and epigenetic cell fate change. SUMMARY: Novel strategies for highly efficient iCM reprogramming will be required for applying iCM reprogramming to patients. Creative and combined methods based on our understanding of cardiogenesis will continue to contribute heavily in the advancement of iCM reprogramming. We are highly optimistic that iCM reprogramming-based heart therapy will restore the pumping function of damaged patient hearts.

Indexed as

Cell- and Tissue-Based TherapyCell EngineeringMyocytes, CardiacRegenerationAnimalsCardiovascular DiseasesCellular ReprogrammingFibroblastsHeartHumansMyocardium

Identifiers

PMID27755167
PMCPMC5436698

What OpenQuestion holds

Textmetadata
LicenceTDM
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.