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Data-Driven Model Development for Cost-Effective, Reliable Cardiac Tissue Manufacturing

Data-Driven Model Development for Cost-Effective, Reliable Cardiac Tissue Manufacturing
数据驱动模型开发,实现经济高效、可靠的心脏组织制造
批准号:
1743445
负责人:
Elizabeth Lipke
金额:
$62.19万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-15 至 2022-08-31

项目摘要

项目成果

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中文摘要
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英文摘要
U.S. mortality rates from heart disease are increasing, driven particularly by deaths in younger adults. Limited availability of native human heart tissue impedes research, drug discovery, and clinical cardiac regeneration efforts. Treatment with stem cell-derived heart tissues, composed of functional contracting heart cells called cardiomyocytes, has high potential to achieve clinically meaningful outcomes. However, the number of cells required for therapeutic benefit has been estimated to be 1-10 billion per patient. Technical challenges and limited scalability of current processes for manufacturing engineered heart tissues hinder progress toward clinical use. The primary goal of this research project is to design reliable and cost-effective manufacturing processes for producing engineered heart tissues. The project employs a novel scalable, one-step heart tissue production platform, combines experimental and modeling studies, and leverages their integration to understand how different operating conditions impact the heart tissue manufacturing process. The research has the potential to transform the ability to manufacture engineered heart tissue for drug testing and heart regeneration applications. Workforce development aspects of the project include engagement of undergraduate and graduate students and practicing engineers through joint upper level curriculum development, teaming with ongoing efforts to support local industry, including establishing a biomanufacturing track for the new cross-disciplinary Advanced Manufacturing engineering specialization, and collaborating with Alabama State University's Life Sciences Department to train students in fundamentals important to biomanufacturing, tissue engineering and bioprinting. To support long-term workforce development, this interdisciplinary research is being incorporated into multiple K-12 outreach efforts. Undergraduate researchers and Alabama State University summer interns will be key members of the research team. Technical challenges and limited scalability of current processes for manufacturing engineered cardiac tissues, including the ubiquitous use of pre-differentiated cardiomyocytes (CMs), has hindered progress toward clinical use. Lack of CM maturation and variable outcomes in scalable stirred flask bioreactors are critical barriers in therapeutic CM production. Professor Lipke has recently established a novel platform to directly differentiate hydrogel-encapsulated human induced pluripotent stem cells (hiPSCs) into engineered cardiac tissues. The research employs a custom microfluidic system to rapidly encapsulate hiPSCs in highly uniform microspheroids with controllable size and shape. By modifying tissue axial ratio, differentiating CMs will experience anisotropic mechanical stimulation during spontaneous contraction; this has been typically impossible to achieve in scalable, suspension cultures and has the unique potential to drive CM maturation. To leverage this potentially transformative approach for single-stage cardiac tissue production, a robust manufacturing process is needed. Thus, the overarching goal of this project is to design reliable and cost-effective manufacturing processes for reproducible, cost-effective, and high-quality production of cardiac tissues. To achieve this goal, the project pursues 3 aims: (1) Investigate the characteristics of engineered cardiac tissues formed using a single-stage process of human induced pluripotent stem cell (hiPSC) hydrogel microspheroid encapsulation and direct differentiation in suspension culture, (2) Identify regions of optimal or near-optimal parameter ranges to manufacture engineered cardiac tissues reliably in suspension culture and spinner flask bioreactor systems using data-driven models, and (3) Test the ability of hydrogel microspheres to support single-stage engineered cardiac tissue manufacturing in a more readily scalable, spinner flask bioreactor system. Guided by data-driven models, the project investigates the effects of hydrogel microspheroid shape and size, polymer precursor concentration, crosslinking time and light intensity, and applied shear stress, on safety and efficacy attributes of single-stage manufactured cardiac tissues. Real-time functional monitoring and in-depth initial and end-point characterization are being performed to assess initial and resulting cell phenotypes. The approach integrates experimental studies and data-driven models through design of adaptive experimental campaigns for manufacturing cardiac tissue in a single-stage process directly from hydrogel encapsulated hiPSCs. Using inverse analysis on the data-driven models, the range of process parameters is being determined to minimize variability in electrophysiological and mechanical contraction attributes of engineered cardiac tissues, which is essential for their reliable manufacturing. Fundamentals of tissue engineering, polymer science, and microfluidics will be drawn upon to manufacture cardiac tissue microspheres directly from hiPSCs, rather than employing pre-differentiated cardiac cells. This approach is unique and, by eliminating multiple cell handling steps and employing a polyethyleneglycol-fibrinogen photocrosslinkable matrix, it has the potential to provide a transformative advance in the ability to manufacture engineered heart tissue for drug testing and cardiac regeneration applications.
期刊论文(16)
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会议论文
Human Induced Pluripotent Stem Cell Encapsulation Geometry Impacts Three-Dimensional Developing Human Engineered Cardiac Tissue Functionality
人类诱导多能干细胞封装几何形状影响三维发育的人类工程心脏组织功能
DOI: 10.1089/ten.tea.2022.0107
发表时间: 2022
期刊: Tissue Engineering Part A
影响因子: 4.1
作者: [Ellis, Morgan E., Harris, Bryana N., Hashemi, Mohammadjafar, Harvell, B. Justin, Bush, Michaela Z., Hicks, Emma E., Finklea, Ferdous B., Wang, Eric M., Nataraj, Ravikiran, Young, Nathan P.]
通讯作者: Young, Nathan P.
Novel Tool to Select Modeling Technique for Design Space Approximation
用于选择设计空间近似建模技术的新工具
DOI: --
发表时间: 2019
期刊: Proceedings of the Foundations of Process Analytics and Machine Learning
影响因子: --
作者: [Williams, Bianca, Cremaschi, Selen]
通讯作者: Cremaschi, Selen
Efficiency of Uncertainty Propagation Methods for Estimating Output Moments
用于估计输出矩的不确定性传播方法的效率
DOI: 10.1016/b978-0-12-818597-1.50078-3
发表时间: 2019
期刊: Computeraided Chemical Engineering
影响因子: --
作者: [Mohammadi, Samira, Cremaschi, Selen]
通讯作者: Cremaschi, Selen
DOI: 10.1016/j.cherd.2021.03.028
发表时间: 2021-04
期刊: Chemical Engineering Research and Design
影响因子: 3.9
作者: [B. Williams;S. Cremaschi]
通讯作者: B. Williams;S. Cremaschi
13
    PFI-TT: An Automated Platform for Production and Distribution of Engineered Tissue Microspheres
    • 批准号:
      2141205
    • 项目类别:
      Standard Grant
    • 资助金额:
      $25.0万
    • 财政年份:
      2022
    • 负责人:
      Elizabeth Lipke
    • 依托单位:
    I-Corps: Spheroidal engineered tissues for more efficient drug discovery
    • 批准号:
      2107931
    • 项目类别:
      Standard Grant
    • 资助金额:
      $5.0万
    • 财政年份:
      2021
    • 负责人:
      Elizabeth Lipke
    • 依托单位:
    Collaborative Research: RECODE: Directing and Controlling Cardiac Differentiation Through Cellular and Microenvironmental Manipulation and Application of Machine-Learning
    • 批准号:
      2135059
    • 项目类别:
      Standard Grant
    • 资助金额:
      $92.47万
    • 财政年份:
      2021
    • 负责人:
      Elizabeth Lipke
    • 依托单位:
    IRES Track I: Process Development for Cell and Tissue Biomanufacturing
    • 批准号:
      1952614
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2020
    • 负责人:
      Elizabeth Lipke
    • 依托单位:
    国内基金
    海外基金
    Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information