3D bioprinted cardiac tissue models

3D生物打印心脏组织模型

基本信息

  • 批准号:
    520967-2017
  • 负责人:
  • 金额:
    $ 1.68万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

During human clinical trials, a large percentage of candidate drugs fail because they are unsafe or ineffective.Even when pre-clinical cell and animal studies seem positive, problems occur because tests done with drugs onthese models are often not predictive of what happens in humans. Much of this is due to significant differencesin biology between species.For instance, ion channels (membrane proteins through which heart cells conduct electrical currents) can varybetween humans and animals. Many drugs, including non-cardiovascular drugs, target these ion channels in theheart, which can potentially result in lethal arrhythmias. Thus, it is critical to use preclinical models that canclosely reproduce what happens in humans to better predict drug safety.To streamline the therapeutic development pipeline, we will develop a novel 3D bioprinted human cardiactissue model which will improve the translational science process for predicting whether drugs will be safe andeffective in humans. The goal is to develop 3D human cardiac tissue structure(s) that closely model theelectrophysiological properties of the human heart, relevant to impulse conduction and arrhythmia generation.We will use a known cardiac cell line, HL-1, that mimics human cardiac cells and and novel microfluidic based3D bioprinting technology and methodologies to build the 3D cardiac tissue. Ultimately, these models areexpected to replace the use of animals to screen drugs for safety and efficacy.To validate our models, we will evaluate the cardiotoxicity potential of a range of known compounds, andcompare the outcome with data obtained using current standard assays. It takes on average over $2.5 billion todevelop and gain marketing approval for a new drug. About $100 million is required to complete thepre-clinical studies alone. Using novel bioprinted models of cardiac tissue is expected to significantly cut thecost and time of bringing a new drug to market.
在人体临床试验中,很大比例的候选药物因为不安全或无效而失败。即使临床前细胞和动物研究看起来是积极的,问题也会出现,因为在这些模型上进行的药物测试通常不能预测人类的情况。这在很大程度上是由于物种之间在生物学上的显著差异。例如,离子通道(心脏细胞传导电流的膜蛋白)在人类和动物之间可能存在差异。许多药物,包括非心血管药物,靶向心脏中的这些离子通道,这可能导致致命的心律失常。因此,使用临床前模型来精确再现人体中发生的情况以更好地预测药物安全性至关重要。为了简化治疗开发流程,我们将开发一种新的3D生物打印人体心脏组织模型,这将改善预测药物在人体中是否安全和有效的转化科学过程。我们的目标是开发三维人体心脏组织结构,紧密模拟人体心脏的电生理特性,与冲动传导和心律失常的产生有关。我们将使用已知的心脏细胞系HL-1,模仿人类心脏细胞和基于新型微流体的3D生物打印技术和方法来构建3D心脏组织。最终,这些模型有望取代使用动物来筛选药物的安全性和有效性。为了验证我们的模型,我们将评估一系列已知化合物的心脏毒性潜力,并将结果与使用当前标准检测方法获得的数据进行比较。一种新药的开发和上市批准平均需要25亿美元。仅完成临床前研究就需要大约1亿美元。使用新的心脏组织生物打印模型有望显着减少将新药推向市场的成本和时间。

项目成果

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Fedida, David其他文献

Localization of Kv1.5 channels in rat and canine myocyte sarcolemma
  • DOI:
    10.1016/j.febslet.2006.09.069
  • 发表时间:
    2006-11-13
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Eldstrom, Jodene;Van Wagoner, David R.;Fedida, David
  • 通讯作者:
    Fedida, David
The role of late I and antiarrhythmic drugs in EAD formation and termination in Purkinje fibers.
Functional characterization of the LQT2-causing mutation R582C and the associated voltage-dependent fluorescence signal
  • DOI:
    10.1016/j.hrthm.2011.02.035
  • 发表时间:
    2011-08-01
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Fougere, Robert R.;Es-Salah-Lamoureux, Zeineb;Fedida, David
  • 通讯作者:
    Fedida, David
Rapid induction of P/C-type inactivation is the mechanism for acid-induced K+ current inhibition.
  • DOI:
    10.1085/jgp.20028760
  • 发表时间:
    2003-03
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Zhang, Shetuan;Kurata, Harley T;Kehl, Steven J;Fedida, David
  • 通讯作者:
    Fedida, David
RSD1235 blocks late INa and suppresses early afterdepolarizations and torsades de pointes induced by class III agents
  • DOI:
    10.1016/j.cardiores.2006.01.026
  • 发表时间:
    2006-06-01
  • 期刊:
  • 影响因子:
    10.8
  • 作者:
    Orth, Peter M. R.;Hesketh, J. Christian;Fedida, David
  • 通讯作者:
    Fedida, David

Fedida, David的其他文献

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{{ truncateString('Fedida, David', 18)}}的其他基金

Structures of ion channel complexes
离子通道复合物的结构
  • 批准号:
    RGPIN-2022-03021
  • 财政年份:
    2022
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Biophysical elucidation of ion channel complex function
离子通道复合体功能的生物物理阐明
  • 批准号:
    RGPIN-2016-05422
  • 财政年份:
    2021
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Biophysical elucidation of ion channel complex function
离子通道复合体功能的生物物理阐明
  • 批准号:
    RGPIN-2016-05422
  • 财政年份:
    2020
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Biophysical elucidation of ion channel complex function
离子通道复合体功能的生物物理阐明
  • 批准号:
    RGPIN-2016-05422
  • 财政年份:
    2019
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Novel 3D bioprinted human cardiac tissue models for drug safety and efficacy testing
用于药物安全性和功效测试的新型 3D 生物打印人体心脏组织模型
  • 批准号:
    523528-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Collaborative Health Research Projects
Microelectrode array (MEA) technology for functional assessment of novel 3D bioprinted human cardiac tissue models.
微电极阵列 (MEA) 技术用于新型 3D 生物打印人体心脏组织模型的功能评估。
  • 批准号:
    RTI-2019-00211
  • 财政年份:
    2018
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Research Tools and Instruments
Novel 3D bioprinted human cardiac tissue models for drug safety and efficacy testing
用于药物安全性和功效测试的新型 3D 生物打印人体心脏组织模型
  • 批准号:
    523528-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Collaborative Health Research Projects
Biophysical elucidation of ion channel complex function
离子通道复合体功能的生物物理阐明
  • 批准号:
    RGPIN-2016-05422
  • 财政年份:
    2018
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Biophysical elucidation of ion channel complex function
离子通道复合体功能的生物物理阐明
  • 批准号:
    RGPIN-2016-05422
  • 财政年份:
    2017
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Biophysical elucidation of ion channel complex function
离子通道复合体功能的生物物理阐明
  • 批准号:
    RGPIN-2016-05422
  • 财政年份:
    2016
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual

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用于药物安全性和功效测试的新型 3D 生物打印人体心脏组织模型
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    $ 1.68万
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    Collaborative Health Research Projects
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