Evidence map›Paper›PMID 37925122›Full record

ArticleActa biomaterialia2024

An image-driven micromechanical approach to characterize multiscale remodeling in infarcted myocardium.

Emilio A Mendiola, Sunder Neelakantan, Qian Xiang, Shuda Xia, Jianyi Zhang, Vahid Serpooshan, Peter Vanderslice, Reza Avazmohammadi

Open access · hybridAbstract read
In one paragraph

Article in Acta biomaterialia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

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  14. In-silico heart model phantom to validate cardiac strain imaging.bioRxiv : the preprint server for biology · 2024
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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 6 institutions in 1 country.

Emilio A MendiolaDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA.
Sunder NeelakantanDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA.
Qian XiangDepartment of Molecular Cardiology, Texas Heart Institute, Houston, Texas, USA.
Shuda XiaOden Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Jianyi ZhangDepartment of Biomedical Engineering, The University of Alabama at Birmingham, Birmingham, AL, United States.
Vahid SerpooshanWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA, United States; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States; Children's Healthcare of Atlanta, Atlanta, GA, United States.
Peter VandersliceDepartment of Molecular Cardiology, Texas Heart Institute, Houston, Texas, USA. Electronic address: pvanderslice@texasheart.org.
Reza AvazmohammadiDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA; J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA; Department of Cardiovascular Sciences, Houston Methodist Academic Institute, Houston, TX, USA. Electronic address: rezaavaz@tamu.edu.
Texas A&M University · USGeorgia Institute of Technology · USHouston Methodist · USTexas Oncology · USThe University of Texas at Austin · USUniversity of Alabama at Birmingham · US

Funding

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
NHLBI NIH HHS K99 HL138288NHLBI NIH HHS R00 HL138288
6 · The paper itself

Abstract

Myocardial infarction (MI) is accompanied by the formation of a fibrotic scar in the left ventricle (LV) and initiates significant alterations in the architecture and constituents of the LV free wall (LVFW). Previous studies have shown that LV adaptation is highly individual, indicating that the identification of remodeling mechanisms post-MI demands a fully subject-specific approach that can integrate a host of structural alterations at the fiber-level to changes in bulk biomechanical adaptation at the tissue-level. We present an image-driven micromechanical approach to characterize remodeling, assimilating new biaxial mechanical data, histological studies, and digital image correlation data within an in-silico framework to elucidate the fiber-level remodeling mechanisms that drive tissue-level adaptation for each subject. We found that a progressively diffused collagen fiber structure combined with similarly disorganized myofiber architecture in the healthy region leads to the loss of LVFW anisotropy post-MI, offering an important tissue-level hallmark for LV maladaptation. In contrast, our results suggest that reductions in collagen undulation are an adaptive mechanism competing against LVFW thinning. Additionally, we show that the inclusion of subject-specific geometry when modeling myocardial tissue is essential for accurate prediction of tissue kinematics. Our approach serves as an essential step toward identifying fiber-level remodeling indices that govern the transition of MI to systolic heart failure. These indices complement the traditional, organ-level measures of LV anatomy and function that often fall short of early prognostication of heart failure in MI. In addition, our approach offers an integrated methodology to advance the design of personalized interventions, such as hydrogel injection, to reinforce and suppress native adaptive and maladaptive mechanisms, respectively, to prevent the transition of MI to heart failure. STATEMENT OF SIGNIFICANCE: Biomechanical and architectural adaptation of the LVFW remains a central, yet overlooked, remodeling process post-MI. Our study indicates the biomechanical adaptation of the LVFW post-MI is highly individual and driven by altered fiber network architecture and collective changes in collagen fiber content, undulation, and stiffness. Our findings demonstrate the possibility of using cardiac strains to infer such fiber-level remodeling events through in-silico modeling, paving the way for in-vivo characterization of multiscale biomechanical indices in humans. Such indices will complement the traditional, organ-level measures of LV anatomy and function that often fall short of early prognostication of heart failure in MI.

Indexed as

Heart FailureMyocardial InfarctionCollagenHumansMyocardiumVentricular RemodelingCollagenCardiac strainsIn-silico modelingMultiscale remodelingMyocardial infarctionScar maturation

Identifiers

PMID37925122
PMCPMC10924194
OpenAlexW4388249233

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.