Regional biomechanical and failure properties of healthy human ascending aorta and root

Xuan, Yue; Wisneski, Andrew D.; Wang, Zhongjie; Lum, Matthew; Kumar, Shalni; Pallone, Julia; Flores, Nick; Inman, Justin; Lai, Lilian; Lin, Joanna; Guccione, Julius M.; Tseng, Elaine E.; Ge, Liang

doi:10.1016/j.jmbbm.2021.104705

Cited by 18 publications

(17 citation statements)

References 31 publications

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“…Very limited data is available on the composition of early-stage human AAAs. An increasing amount of data is, however indicating, that aortic dissection could be the initiating event for the development AAAs in humans 48 , 49 .…”

Section: Discussionmentioning

confidence: 99%

ADAMTS4-specific MR probe to assess aortic aneurysms in vivo using synthetic peptide libraries

et al. 2022

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The incidence of abdominal aortic aneurysms (AAAs) has substantially increased during the last 20 years and their rupture remains the third most common cause of sudden death in the cardiovascular field after myocardial infarction and stroke. The only established clinical parameter to assess AAAs is based on the aneurysm size. Novel biomarkers are needed to improve the assessment of the risk of rupture. ADAMTS4 (A Disintegrin And Metalloproteinase with ThromboSpondin motifs 4) is a strongly upregulated proteoglycan cleaving enzyme in the unstable course of AAAs. In the screening of a one-bead-one-compound library against ADAMTS4, a low-molecular-weight cyclic peptide is discovered with favorable properties for in vivo molecular magnetic resonance imaging applications. After identification and characterization, it’s potential is evaluated in an AAA mouse model. The ADAMTS4-specific probe enables the in vivo imaging-based prediction of aneurysm expansion and rupture.

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Section: Discussionmentioning

confidence: 99%

ADAMTS4-specific MR probe to assess aortic aneurysms in vivo using synthetic peptide libraries

et al. 2022

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“…The more recent studies have advanced and focused on the biomechanical behavior of the cardiac and vascular structures associated with the structural and biomolecular modifications of the extracellular matrix. [17][18][19][20][21] From a biomolecular point of view, Bartko et al 17 processes, without eliminating the adaptive growth. 17 No studies to date have long-term prospective data based on biomechanical modeling through the use of finite element analysis (FEA) and evaluation of morphostructure.…”

Section: Remodeling In Cardiac Structuresmentioning

confidence: 99%

“…Second, FEA when applied to 3D echocardiography and to 3D CT scan can be used to calculate stresses and investigate potential failure modes and locations in the extracellular matrix. [18][19][20][21] ORCID Francesco Nappi https://orcid.org/0000-0002-9705-5360…”

Section: Remodeling In Cardiac Structuresmentioning

confidence: 99%

“…So, what next? The more recent studies have advanced and focused on the biomechanical behavior of the cardiac and vascular structures associated with the structural and biomolecular modifications of the extracellular matrix 17–21 …”

Section: Remodeling In Cardiac Structuresmentioning

confidence: 99%

“…This task will be first, nuanced by the fact that FEA is the primary method to acquire precious information about complex real‐world systems that would otherwise be impossible to calculate directly. Second, FEA when applied to 3D echocardiography and to 3D CT scan can be used to calculate stresses and investigate potential failure modes and locations in the extracellular matrix 18–21 …”

Section: Remodeling In Cardiac Structuresmentioning

confidence: 99%

See 2 more Smart Citations

The role of the extracellular matrix in the development of heart valve disease: Underestimation or undercomprehension?

Nappi

2022

Journal of Cardiac Surgery

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The function of metalloproteinases of the extracellular matrix and their inhibitors has emerged with a crucial role in valve diseases. Both the expression of matrix metalloproteinases and their inhibitors are susceptible to modification in patients with severe mitral insufficiency. This process is due to substantial changes in the collagen structure during mechanical stress on the mitral valve leaflets. Several studies have

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Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics‐Informed Neural Networks

Wu,

Daneker,

Turner

et al. 2024

Small Methods

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The heterogeneous micromechanical properties of biological tissues have profound implications across diverse medical and engineering domains. However, identifying full‐field heterogeneous elastic properties of soft materials using traditional engineering approaches is fundamentally challenging due to difficulties in estimating local stress fields. Recently, there has been a growing interest in data‐driven models for learning full‐field mechanical responses, such as displacement and strain, from experimental or synthetic data. However, research studies on inferring full‐field elastic properties of materials, a more challenging problem, are scarce, particularly for large deformation, hyperelastic materials. Here, a physics‐informed machine learning approach is proposed to identify the elasticity map in nonlinear, large deformation hyperelastic materials. This study reports the prediction accuracies and computational efficiency of physics‐informed neural networks (PINNs) in inferring the heterogeneous elasticity maps across materials with structural complexity that closely resemble real tissue microstructure, such as brain, tricuspid valve, and breast cancer tissues. Further, the improved architecture is applied to three hyperelastic constitutive models: Neo‐Hookean, Mooney Rivlin, and Gent. The improved network architecture consistently produces accurate estimations of heterogeneous elasticity maps, even when there is up to 10% noise present in the training data.

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Regional biomechanical and failure properties of healthy human ascending aorta and root

Cited by 18 publications

References 31 publications

ADAMTS4-specific MR probe to assess aortic aneurysms in vivo using synthetic peptide libraries

ADAMTS4-specific MR probe to assess aortic aneurysms in vivo using synthetic peptide libraries

The role of the extracellular matrix in the development of heart valve disease: Underestimation or undercomprehension?

Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics‐Informed Neural Networks

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