Improving Tissue Engineered Vascular Graft Performance via Computational Modeling
Improving Tissue Engineered Vascular Graft Performance via Computational Modeling
批准号:
10612079
负责人:
Jay D. Humphrey
金额:
$69.22万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
未结题
起止时间:
2018-01-01 至 2026-03-31
关键词:
3-DimensionalAbsorbable ImplantsAccelerationAdolescentAdultAnastomosis - actionAnimal ModelAnimalsArticulationBiocompatible MaterialsBiologicalBiologyBiomechanicsBiomedical EngineeringBlood VesselsCaliberCalibrationCardiac Surgery proceduresCardiovascular DiseasesCardiovascular systemCaringCessation of lifeChildChildhoodClinicalClinical TrialsCollaborationsComputer ModelsCouplingDataDevelopmentDiffuseDilatation - actionElderlyElementsEuropeExhibitsExtracellular MatrixFDA approvedForeign BodiesFoundationsGeometryGoalsGrowthHemodialysisImplantInflammationInflammatoryInvestigationLeadLearningLiquid substanceMechanicsMediatingMethodsModelingModernizationMusNatural HistoryOperative Surgical ProceduresOrganOutcomePaperPediatricsPerformancePhysiologicalPolymersPositioning AttributeProcessPropertySafetyScienceScientistSeminalSignal TransductionSingle ventricle congenital heart diseaseSiteSolidStenosisStructureSurgeonTestingThrombosisTissue EngineeringTranslationsVascular GraftWorkbiodegradable polymerclinical translationcongenital heart disorderdesigndisabilityexperiencefabricationhemodynamicsimmunoregulationimprovedimproved outcomein vivoin vivo Modelinnovationlamb modelmulti-scale modelingnovelpediatric patientspostnatalpostnatal periodpre-clinicalpreclinical studypredictive modelingresponsescaffoldsheep modelsimulationstandard of caresuccessvascular tissue engineering
中文摘要
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英文摘要
PROJECT SUMMARY
Tissue engineered vascular grafts (TEVGs) have demonstrated potential to revolutionize cardiovascular care,
with multiple grafts now in clinical trials in children and adults. Yet, there remains a pressing need to optimize
these grafts to improve outcomes and enable wide-spread usage. In this proposal, we build upon a strong
foundation of prior findings but introduce an innovative multi-fidelity computational-experimental approach that
promises to accelerate greatly the development of improved TEVGs. Although the proposed approach is general
with broad applicability, we will focus on one particular application – TEVGs for congenital heart surgery – to
refine the approach and illustrate its utility. Specifically, we will use a pre-clinical juvenile ovine model to collect
the longitudinal data needed to develop and inform novel multiscale computational models that will be melded
to describe the in vivo development of a neovessel from an implanted biodegradable polymeric scaffold. Our
approach will be informed by data from three initial, non-optimal designs, then used to identify via formal methods
of optimization preferred microstructural scaffold parameters and an overall geometry that optimizes in vivo
function. Particularly novel will be our ability to account for normal developmental changes in the lamb
vasculature and coupling of cell signaling, growth and remodeling, and 3D hemodynamics in a novel multi-fidelity,
multiscale workflow that allows optimization of desired biological and physiological outcomes. To achieve these
goals, we propose three Specific Aims: 1) To quantify normal vascular development and performance of three
baseline TEVG designs in a lamb model; 2) To develop and employ a novel multiscale fluid-solid-growth (FSG)
simulation framework to optimize TEVG design; 3) To validate the model-identified optimal TEVG design in a
longitudinal large animal study. Our team is uniquely positioned for success, combining expertise in animal
models of congenital heart disease, development of TEVGs and their clinical translation, finite element
simulations of cardiovascular hemodynamics and biomechanics, modeling vascular growth and remodeling, and
identifying and modeling mechanisms of mechanobiology. Our approach is innovative in that we will 1) meld
macro (organ) level simulations of cardiovascular biomechanics with micro level simulations of vascular cell
signaling, 2) develop a novel, generally applicable paradigm for model-driven optimization of tissue engineered
structures that provides control over outcomes, and 3) facilitate clinical translation of TEVGs with improved
performance. Successful completion of this study will be significant in multiple ways – not only will it result in a
new (optimal) design of a TEVG for use in the Fontan surgical procedure, performed in children born with single
ventricle congenital heart defects, it will also establish a novel computational-experimental paradigm in
cardiovascular tissue engineering that promises to accelerate the development of diverse implants.
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会议论文
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批准号:10683327
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财政年份:2022
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依托单位:
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Modeling Multiscale Immuno-Mechanics in Aortic Disease
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批准号:10352581
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项目类别:
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资助金额:$50.02万
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财政年份:2022
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依托单位:
Multiscale Modeling of Aortic Homeostasis
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批准号:10471254
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项目类别:
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资助金额:$8.38万
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财政年份:2021
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负责人:Jay D. Humphrey
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依托单位:
Multiscale Modeling of Aortic Homeostasis
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批准号:10189114
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项目类别:
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资助金额:$8.38万
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财政年份:2021
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负责人:Jay D. Humphrey
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依托单位:
Smooth Muscle Cell Proliferation and Degradative Phenotype in Thoracic Aorta Aneurysm and Dissection
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批准号:10184861
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项目类别:
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资助金额:$7.33万
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财政年份:2020
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负责人:Jay D. Humphrey
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依托单位:
Smooth Muscle Cell Proliferation and Degradative Phenotype in Thoracic Aorta Aneurysm and Dissection
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批准号:10376852
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项目类别:
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资助金额:$65.28万
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财政年份:2019
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负责人:Jay D. Humphrey
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依托单位:
Smooth Muscle Cell Proliferation and Degradative Phenotype in Thoracic Aorta Aneurysm and Dissection
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批准号:10132382
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项目类别:
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资助金额:$77.37万
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财政年份:2019
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负责人:Jay D. Humphrey
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依托单位:
Smooth Muscle Cell Proliferation and Degradative Phenotype in Thoracic Aorta Aneurysm and Dissection
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批准号:10573756
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项目类别:
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资助金额:$4.76万
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财政年份:2019
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负责人:Jay D. Humphrey
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依托单位:
Smooth Muscle Cell Proliferation and Degradative Phenotype in Thoracic Aorta Aneurysm and Dissection
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批准号:9904189
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项目类别:
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资助金额:$65.28万
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财政年份:2019
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负责人:Jay D. Humphrey
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依托单位:
Multimodality imaging-driven multifidelity modeling of aortic dissection
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批准号:9981804
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项目类别:
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资助金额:$60.13万
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财政年份:2018
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负责人:Jay D. Humphrey
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依托单位:
Multimodality imaging-driven multifidelity modeling of aortic dissection
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批准号:10242915
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项目类别:
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资助金额:$55.94万
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财政年份:2018
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负责人:Jay D. Humphrey
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依托单位:
Multimodality imaging-driven multifidelity modeling of aortic dissection
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批准号:10453465
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项目类别:
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资助金额:$55.94万
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财政年份:2018
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负责人:Jay D. Humphrey
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依托单位:
Improving Tissue Engineered Vascular Graft Performance via Computational Modeling
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批准号:10082302
-
项目类别:
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资助金额:$88.23万
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财政年份:2018
-
负责人:Jay D. Humphrey
-
依托单位:
Improving Tissue Engineered Vascular Graft Performance via Computational Modeling
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批准号:10461485
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项目类别:
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资助金额:$73.13万
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财政年份:2018
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负责人:Jay D. Humphrey
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依托单位:
TGFB-Dependent Mechanoresponses by Aortic Smooth Muscle Cells Govern Aneurysms
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批准号:10378127
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项目类别:
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资助金额:$41.73万
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财政年份:2018
-
负责人:Jay D. Humphrey
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依托单位:
Core C: Computational and Experimental Biomechanical Assessment (CEBA)
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批准号:10378123
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项目类别:
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资助金额:$22.22万
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财政年份:2018
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负责人:Jay D. Humphrey
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依托单位:
Characterization of TGFB-Dependent Mechanoresponses by Aortic Smooth Muscle Cells
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批准号:9380043
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项目类别:
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资助金额:$59.94万
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财政年份:2017
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负责人:Jay D. Humphrey
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依托单位:
Genetically-altered mechanical homeostasis in central arteries
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批准号:9208773
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项目类别:
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资助金额:$7.22万
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财政年份:2016
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负责人:Jay D. Humphrey
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依托单位:
海外基金