Evidence map›Paper›PMID 32739434›Full record

ArticleActa biomaterialia2020

How hydrogel inclusions modulate the local mechanical response in early and fully formed post-infarcted myocardium.

David S Li, Reza Avazmohammadi, Christopher B Rodell, Edward W Hsu, Jason A Burdick, Joseph H Gorman, Robert C Gorman, Michael S Sacks

Open access · greenAbstract read
In one paragraph

Article in Acta biomaterialia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

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  7. A novel diffusion tensor based three-dimensional constitutive model for human breast tissue.Journal of the mechanical behavior of biomedical materials · 2025
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  16. Functional hydrogels for the repair and regeneration of tissue defects.Frontiers in bioengineering and biotechnology · 2023
    Review
  17. Graph-based homogenisation for modelling cardiac fibrosis.Journal of computational physics · 2022
    Article
  18. Article
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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 4 institutions in 1 country.

David S LiJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Reza AvazmohammadiJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA; Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Christopher B RodellSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA; Polymeric Biomaterials Laboratory, Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Edward W HsuPreclinical Imaging Core Facility, Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Jason A BurdickPolymeric Biomaterials Laboratory, Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Joseph H GormanGorman Cardiovascular Research Group, Perelman School of Medicine, Department of Surgery, University of Pennsylvania, Philadelphia, PA 19104, USA.
Robert C GormanGorman Cardiovascular Research Group, Perelman School of Medicine, Department of Surgery, University of Pennsylvania, Philadelphia, PA 19104, USA.
Michael S SacksJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: msacks@oden.utexas.edu.
The University of Texas at Austin · USUniversity of Pennsylvania · USDrexel University · USUniversity of Utah · US

Funding

Surgery to Prevent Post Infarction Ventricular RemodelingR01HL063954 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C · 2001 to 2018
$9.8M
Quantitative Methods for Optimizing IMR RepairR01HL073021 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, SACKS, MICHAEL S · 2004 to 2022
$7.6M
Echocardiography to Predict Recurrent IMR After Surgical Mitral Valve ReplacementR01HL103723 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, HUNG, JUDY W · 2011 to 2020
$5.3M
Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
The effect of systemic hypertension on prognosis of myocardial infarction: Understanding, prediction and therapy evaluationR00HL138288 · NHLBI · TEXAS ENGINEERING EXPERIMENT STATION · PI AVAZMOHAMMADI, REZA · 2020 to 2022
$727k
The effect of systemic hypertension on prognosis of myocardial infarction: Understanding, prediction and therapy evaluationK99HL138288 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI AVAZMOHAMMADI, REZA · 2018 to 2019
$280k
Investigation of the effect of injected hydrogel properties on post-myocardial infarction ventricular remodeling using an integrated experimental-numerical finite element modeling approachF31HL139113 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI LI, DAVID SHUEN · 2017 to 2020
$119k
NHLBI NIH HHS F31 HL139113NHLBI NIH HHS K99 HL138288NHLBI NIH HHS R00 HL138288NHLBI NIH HHS R01 HL063954NHLBI NIH HHS R01 HL073021NHLBI NIH HHS R01 HL103723NIBIB NIH HHS T32 EB007507
6 · The paper itself

Abstract

Expansion of myocardium after myocardial infarction (MI) has long been identified as the primary mechanism that drives adverse left ventricular (LV) remodeling towards heart failure and death. Direct injection of hydrogels into the myocardium to mechanically constrain the infarct has demonstrated promise in limiting its remodeling and expansion. Despite early successes, there remain open questions in the determination of optimal hydrogel therapies, key application characteristics for which include injected polymer volume, stiffness, and spatial placement. Addressing these questions is complicated by the substantial variations in infarct type and extent, as well as limited understanding of the underlying mechanisms. Herein, we present an investigation on how hydrogel inclusions affect the effective tissue-level stiffness and strain fields in myocardium using full three-dimensional (3D) finite element simulations at early and late post-MI time points. We calibrated our simulations to triaxial mechanical and structural measurements of cuboidal LV myocardial specimens of post-infarcted myocardium, 0 and 4 weeks post-MI, injected with a dual-crosslinking hyaluronic acid-based hydrogel. Simulations included multiple deformation modes that spanned the anticipated physiological range in order to assess the effects of variations in inclusion size, location, and modulus on tissue-level myocardial mechanics. We observed significant local stiffening in the hydrogel-injected specimens that was highly dependent on the volume and mechanical properties of the injected hydrogel. Simulations revealed that the primary effect of the injections under physiological loading was a reduction in myocardial strain. This result suggests that hydrogel injections reduce infarct expansion by limiting the peak strains over the cardiac cycle. Overall, our study indicated that modulation of local effective tissue stiffness and corresponding strain reduction are governed by the volume and stiffness of the hydrogel, but relatively insensitive to its transmural placement. These findings provide important insights into mechanisms for ameliorating post-MI remodeling, as well as guidance for the future design of post-MI therapies.

Indexed as

HydrogelsMyocardial InfarctionHeart VentriclesHumansMyocardiumVentricular RemodelingHydrogelsFinite element modelingHydrogel injectionMyocardial infarction

Identifiers

PMID32739434
PMCPMC7484038
OpenAlexW3046060246

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.