Evidence map›Paper›PMID 25978005›Full record

ArticleBiomaterials2015

A phenotypic in vitro model for the main determinants of human whole heart function.

Maria Stancescu, Peter Molnar, Christopher W McAleer, William McLamb, Christopher J Long, Carlota Oleaga, Jean-Matthieu Prot, James J Hickman

Open access · greenAbstract read
In one paragraph

Article in Biomaterials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
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  13. Article
  14. Article
  15. Engineered Heart Muscle Models in Phenotypic Drug Screens.Handbook of experimental pharmacology · 2021
    Article
  16. hiPSC-Derived Cardiac Tissue for Disease Modeling and Drug Discovery.International journal of molecular sciences · 2020
    Review
  17. Differential Monocyte Actuation in a Three-Organ Functional Innate Immune System-on-a-Chip.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 2 countries.

Maria StancescuNanoScience Technology Center, University of Central Florida, 12424 Research Parkway, Suite 400, Orlando, FL 32826, USA.
Peter MolnarDepartment of Zoology, University of West Hungary, Szombathely H-9700, Hungary; Biomedical Engineering, Cornell University, Department of Biomedical Engineering, 115 Weill Hall, Ithaca, NY 14853, USA.
Christopher W McAleerNanoScience Technology Center, University of Central Florida, 12424 Research Parkway, Suite 400, Orlando, FL 32826, USA.
William McLambNanoScience Technology Center, University of Central Florida, 12424 Research Parkway, Suite 400, Orlando, FL 32826, USA.
Christopher J LongNanoScience Technology Center, University of Central Florida, 12424 Research Parkway, Suite 400, Orlando, FL 32826, USA.
Carlota OleagaNanoScience Technology Center, University of Central Florida, 12424 Research Parkway, Suite 400, Orlando, FL 32826, USA.
Jean-Matthieu ProtNanoScience Technology Center, University of Central Florida, 12424 Research Parkway, Suite 400, Orlando, FL 32826, USA; Biomedical Engineering, Cornell University, Department of Biomedical Engineering, 115 Weill Hall, Ithaca, NY 14853, USA.
James J HickmanNanoScience Technology Center, University of Central Florida, 12424 Research Parkway, Suite 400, Orlando, FL 32826, USA. Electronic address: jhickman@mail.ucf.edu.
University of Central Florida · USCornell University · US

Funding

Microphysiologial systems and low cost microfluidic platform with analyticsUH2TR000516 · NCATS · CORNELL UNIVERSITY · PI HICKMAN, JAMES J, SHULER, MICHAEL L · 2012 to 2014
$2.9M
High-throughput Electrophysiology for Pathway IdentificationR01EB005459 · NIBIB · UNIVERSITY OF CENTRAL FLORIDA · PI HICKMAN, JAMES J · 2006 to 2008
$1.3M
NCATS NIH HHS UH2 TR000516NCATS NIH HHS UH2TR000516NIBIB NIH HHS R01 EB005459NIBIB NIH HHS R01EB005459
6 · The paper itself

Abstract

This article details the construction and testing of a phenotypic assay system that models in vivo cardiac function in a parallel in vitro environment with human stem cell derived cardiomyocytes. The major determinants of human whole-heart function were experimentally modeled by integrating separate 2D cellular systems with BioMicroelectromechanical Systems (BioMEMS) constructs. The model features a serum-free defined medium to enable both acute and chronic evaluation of drugs and toxins. The integration of data from both systems produced biologically relevant predictions of cardiac function in response to varying concentrations of selected drugs. Sotalol, norepinephrine and verapamil were shown to affect the measured parameters according to their specific mechanism of action, in agreement with clinical data. This system is applicable for cardiac side effect assessment, general toxicology, efficacy studies, and evaluation of in vitro cellular disease models in body-on-a-chip systems.

Indexed as

Cell Culture TechniquesCells, CulturedDrug Evaluation, PreclinicalEquipment DesignHeartHumansMicro-Electrical-Mechanical SystemsMicroelectrodesMyocytes, CardiacCardiomyocyteConductionForce generationFunctional assayHumanSerum-free

Identifiers

PMID25978005
PMCPMC4458149
OpenAlexW241683524

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.