Evidence map›Paper›PMID 30011279›Full record

ArticlePLoS computational biology2018

Microheterogeneity-induced conduction slowing and wavefront collisions govern macroscopic conduction behavior: A computational and experimental study.

Tanmay A Gokhale, Huda Asfour, Shravan Verma, Nenad Bursac, Craig S Henriquez

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Homogenisation for the monodomain model in the presence of microscopic fibrotic structures.Communications in nonlinear science & numerical simulation · 2023
    Article
  4. Graph-based homogenisation for modelling cardiac fibrosis.Journal of computational physics · 2022
    Article
  5. Article
  6. Article
  7. Cardiomyocyte-myofibroblast contact dynamism is modulated by connexin-43.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  8. 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

5 authors.

Tanmay A GokhaleDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0002-9436-2058
Huda AsfourDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Shravan VermaDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Nenad BursacDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0002-5688-6061
Craig S HenriquezDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0002-5395-3767

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
In Vitro and In Situ Engineering of Fibroblasts for Cardiac RepairR01HL132389 · NHLBI · DUKE UNIVERSITY · PI BURSAC, NENAD · 2016 to 2019
$2.0M
Engineering of Human Excitable Tissues from Unexcitable CellsR01HL126524 · NHLBI · DUKE UNIVERSITY · PI BURSAC, NENAD · 2016 to 2019
$1.9M
Bioengineering a Living Tissue ConductorR21HL126193 · NHLBI · DUKE UNIVERSITY · PI BURSAC, NENAD · 2015 to 2016
$437k
NHLBI NIH HHS R01 HL126524NHLBI NIH HHS R01 HL132389NHLBI NIH HHS R21 HL126193NIGMS NIH HHS T32 GM007171
6 · The paper itself

Abstract

The incidence of cardiac arrhythmias is known to be associated with tissue heterogeneities including fibrosis. However, the impact of microscopic structural heterogeneities on conduction in excitable tissues remains poorly understood. In this study, we investigated how acellular microheterogeneities affect macroscopic conduction under conditions of normal and reduced excitability by utilizing a novel platform of paired in vitro and in silico studies to examine the mechanisms of conduction. Regular patterns of nonconductive micro-obstacles were created in confluent monolayers of the previously described engineered-excitable Ex293 cell line. Increasing the relative ratio of obstacle size to intra-obstacle strand width resulted in significant conduction slowing up to 23.6% and a significant increase in wavefront curvature anisotropy, a measure of spatial variation in wavefront shape. Changes in bulk electrical conductivity and in path tortuosity were insufficient to explain these observed macroscopic changes. Rather, microscale behaviors including local conduction slowing due to microscale branching, and conduction acceleration due to wavefront merging were shown to contribute to macroscopic phenomena. Conditions of reduced excitability led to further conduction slowing and a reversal of wavefront curvature anisotropy due to spatially non-uniform effects on microscopic slowing and acceleration. This unique experimental and computation platform provided critical mechanistic insights in the impact of microscopic heterogeneities on macroscopic conduction, pertinent to settings of fibrotic heart disease.

Indexed as

Computational BiologyModels, CardiovascularAction PotentialsAnimalsAnisotropyArrhythmias, CardiacCell LineComputer SimulationHeart Conduction SystemHEK293 CellsHumansIn Vitro Techniques

Identifiers

PMID30011279
PMCPMC6062105

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.