Prosthetic heart valves for transcatheter aortic valve replacement

Hu, Xinman; Li, Shifen; Peng, Pai; Wang, Beiduo; Liu, Wenxing; Dong, Xiaofei; Yang, Xiayan; Karabaliev, Miroslav; Yu, Qifeng; Gao, Changyou

doi:10.1002/bmm2.12026

Cited by 9 publications

(2 citation statements)

References 151 publications

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“…To avoid its rejection, cellular antigen and nucleic acid residues are removed (i.e., to decellularize biomaterials-to remove cells and nucleic acids in the extracellular matrix to reduce the immunogenicity of biomaterials from non-autologous sources). Several studies have shown that the combined decellularization method can not only increase the decellularization efficiency but also maximize the protection of the extracellular matrix [114,115], which prevents calcification.…”

Section: Advanced Developments In the Field Of Heart Valvesmentioning

confidence: 99%

“…First, they can be mass-produced compared to the limited sources and high cost of biological valves, and second, they have precisely regulated physical and biochemical properties. However, the greatest challenges for them remain prosthesis failure due to the difference in elastic modulus between polymers and native tissue and durability [115,118,119].…”

Section: Advanced Developments In the Field Of Heart Valvesmentioning

confidence: 99%

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Fluid–Structure Interaction Aortic Valve Surgery Simulation: A Review

Kuchumov,

Makashova,

Vladimirov

et al. 2023

Fluids

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The complicated interaction between a fluid flow and a deformable structure is referred to as fluid–structure interaction (FSI). FSI plays a crucial role in the functioning of the aortic valve. Blood exerts stresses on the leaflets as it passes through the opening or shutting valve, causing them to distort and vibrate. The pressure, velocity, and turbulence of the fluid flow have an impact on these deformations and vibrations. Designing artificial valves, diagnosing and predicting valve failure, and improving surgical and interventional treatments all require the understanding and modeling of FSI in aortic valve dynamics. The most popular techniques for simulating and analyzing FSI in aortic valves are computational fluid dynamics (CFD) and finite element analysis (FEA). By studying the relationship between fluid flow and valve deformations, researchers and doctors can gain knowledge about the functioning of valves and possible pathological diseases. Overall, FSI is a complicated phenomenon that has a great impact on how well the aortic valve works. Aortic valve diseases and disorders can be better identified, treated, and managed by comprehending and mimicking this relationship. This article provides a literature review that compiles valve reconstruction methods from 1952 to the present, as well as FSI modeling techniques that can help advance valve reconstruction. The Scopus, PubMed, and ScienceDirect databases were used in the literature search and were structured into several categories. By utilizing FSI modeling, surgeons, researchers, and engineers can predict the behavior of the aortic valve before, during, and after surgery. This predictive capability can contribute to improved surgical planning, as it provides valuable insights into hemodynamic parameters such as blood flow patterns, pressure distributions, and stress analysis. Additionally, FSI modeling can aid in the evaluation of different treatment options and surgical techniques, allowing for the assessment of potential complications and the optimization of surgical outcomes. It can also provide valuable information on the long-term durability and functionality of prosthetic valves. In summary, fluid–structure interaction modeling is an effective tool for predicting the outcomes of aortic valve surgery. It can provide valuable insights into hemodynamic parameters and aid in surgical planning, treatment evaluation, and the optimization of surgical outcomes.

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Section: Advanced Developments In the Field Of Heart Valvesmentioning

confidence: 99%

Section: Advanced Developments In the Field Of Heart Valvesmentioning

confidence: 99%

Fluid–Structure Interaction Aortic Valve Surgery Simulation: A Review

Kuchumov,

Makashova,

Vladimirov

et al. 2023

Fluids

View full text Add to dashboard Cite

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A Ratiometric Gene‐Switch System for miRNA Sensing and Gene Regulation

Zhang,

Tang

et al. 2023

Small Methods

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AbstractmicroRNAs (miRNAs) are a class of non‐coding, small RNAs that play an important role in diverse biological processes and diseases. By regulating the expression of eukaryotic genes post‐transcriptionally in a sequence‐specific manner, miRNAs are widely used to design synthetic RNA switches. However, most of the RNA switches are often dependent on the corresponding ligand molecules, whose specificity and concentration would affect the efficiency of synthetic RNA circuits. Here, a fused transcriptional repressor Gal4BD‐Rluc based gene‐switch system Gal‐miR for miRNA visualization and gene regulation is described. By placing a luciferase downstream gene under the control of endogenous miRNA machinery, the Gal‐miR system makes the conversion of miRNA‐mediated gene silencing into a ratiometric bioluminescent signal, which quantitatively reflected miRNA‐206 activity during myogenic differentiation. Moreover, it demonstrates that this gene‐switch system can effectively inhibit breast cancer cell viability, migration and invasion under the control of specific miRNAs by replacing the downstream gene with melittin functional gene. The study proposes a powerful modular genetic design for achieving precise control of transgene expression in a miRNA responsive way, as well as visualizing the dynamics of miRNA activity.

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