Evidence map›Paper›PMID 32095673›Full record

ArticleCurrent opinion in physiology2020

Heart regeneration in mouse and human: A bioengineering perspective.

Barry Fine, Gordana Vunjak-Novakovic

Abstract read
In one paragraph

Article in Current opinion in physiology, 2020. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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.

Barry FineDepartment of Medicine, Engineering Columbia University, New York NY 10032.
Gordana Vunjak-NovakovicDepartment of Medicine, Engineering Columbia University, New York NY 10032.

Funding

Tissue Engineering Resource Center: TTDP41EB027062 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gordana Vunjak-Novakovic · 2019 to 2026
$12.6M
Engineering Vascularized Cardiac MuscleR01HL076485 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Gordana Vunjak-Novakovic · 2005 to 2026
$9.2M
Multi-tissue platform for modeling systemic pathologiesUH3EB025765 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VUNJAK-NOVAKOVIC, GORDANA · 2019 to 2021
$4.0M
Multi-tissue platform for modeling systemic pathologiesUG3EB025765 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VUNJAK-NOVAKOVIC, GORDANA · 2017 to 2019
$2.8M
The STK25 Signaling Pathway in Human Cardiac CellsK08HL140201 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FINE, BARRY M. · 2018 to 2022
$831k
NHLBI NIH HHS K08 HL140201NHLBI NIH HHS R01 HL076485NIBIB NIH HHS P41 EB027062NIBIB NIH HHS UG3 EB025765NIBIB NIH HHS UH3 EB025765
6 · The paper itself

Abstract

In this short review, we draw parallels and stress differences between heart regeneration in mice and human, from a bioengineering perspective. As the prevailing dogma that the adult heart is completely post-mitotic is starting to change, there are multiple opportunities for augmenting the limited but definitive turnover of cardiomyocytes, to the extent necessary developing clinically relevant modalities for enhancing heart repair. We discuss some of the most promising among these new directions: mobilization of paracrine signaling by therapeutic cells, cell-free therapy of the heart using extracellular vesicles, and direct reprograming of endogenous cells. These new directions share the cell-free, mechanistic approach to heart repair that could be translated into the clinic faster and safer than the traditional cell therapies.

Indexed as

cardiomyocytesdirect reprogramingendogenous stem cellsextracellular vesiclesHeart regenerationhumanmouseparacrine factors

Identifiers

PMID32095673
PMCPMC7039647

What OpenQuestion holds

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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.