Evidence map›Paper›PMID 26393440›Full record

ArticleJournal of molecular and cellular cardiology2015

An in vitro model for the assessment of stem cell fate following implantation within the infarct microenvironment identifies ISL-1 expression as the strongest predictor of c-Kit(+) cardiac progenitor cells' therapeutic potential.

Kelly E Sullivan, Laura J Burns, Lauren D Black

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular and cellular cardiology, 2015. 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
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  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 at 1 institution in 1 country.

Kelly E SullivanDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Laura J BurnsDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Lauren D BlackDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA; Cellular, Molecular, and Developmental Biology Program, Sackler School for Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, MA 02111, USA. Electronic address: lauren.black@tufts.edu.
Tufts University · US

Funding

Restoring LV Function Post-MI Using Fibrin-Gel Based Engineered MyocardiumR00HL093358 · NHLBI · TUFTS UNIVERSITY MEDFORD · PI BLACK III, LAUREN D. · 2010 to 2012
$747k
NHLBI NIH HHS R00 HL093358NHLBI NIH HHS R00HL093358
6 · The paper itself

Abstract

Cell therapy has the potential to drastically improve clinical outcomes for the 1.45 million patients suffering from a myocardial infarction (MI) each year in the U.S. However, the limitations associated with this treatment - including poor engraftment, significant cell death and poor differentiation potential - have prevented its widespread application clinically. To optimize functional improvements provided by transplanted cells, there is a need to develop methods that increase cellular retention and viability, while supporting differentiation and promoting paracrine signaling. Current in vivo models are expensive, difficult to access and manipulate and are time consuming. We have developed an in vitro model of MI which allows for a straightforward, consistent and relatively accurate prediction of cell fate following injection in vivo. The model demonstrated how the infarct environment impairs cellular engraftment and differentiation, but identified an implantation strategy which enhanced cell fate in vitro. Multivariate linear regression identified variables within the model that regulated vascular differentiation potential including oxygen tension, stiffness and cytokine presence, while cardiac differentiation was more accurately predicted by Isl-1 expression in the original cell isolate than any other variable present within the model system. The model highlighted how the cells' sensitivity to the infarct variables varied from line to line, which emphasizes the importance of the model system for the prediction of cell fate on a patient specific basis. Further development of this model system could help predict the clinical efficacy of cardiac progenitor cell therapy at the patient level as well as identify the optimal strategy for cell delivery.

Indexed as

Models, CardiovascularStem Cell TransplantationAnimalsBiomarkersCell DifferentiationCell TrackingCytokinesDisease Models, AnimalExtracellular MatrixGene ExpressionHardnessLIM-Homeodomain ProteinsLinear ModelsMaleMyocardial InfarctionMyocytes, CardiacBiomarkersCytokinesinsulin gene enhancer binding protein Isl-1LIM-Homeodomain ProteinsOxygenProto-Oncogene Proteins c-kitTranscription Factorsc-Kit(+) cardiac progenitor cellsIn vitro disease modelingMyocardial infarctionStem cell-microenvironment interactions

Identifiers

PMID26393440
PMCPMC4640995
OpenAlexW1734572546

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.