3-D biofabricated feto-maternal interface tissue model to determine drug efficacy during pregnancy to reduce the risk of preterm birth

3D 生物制造胎儿-母体界面组织模型,用于确定妊娠期间的药物疗效,以降低早产风险

基本信息

  • 批准号:
    10438407
  • 负责人:
  • 金额:
    $ 42.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-08-01 至 2024-07-31
  • 项目状态:
    已结题

项目摘要

ABSTRACT Spontaneous preterm birth (PTB) affects approximately 11% of all births and is a significant contributor to neonatal mortalities and morbidities. Current interventions in PTB are designed to stop maternal uterine contractions to delay delivery but have limited success. Infection and host inflammatory responses are the major factors predisposing to PTB. Inflammation of the feto-maternal interface (FMi), specifically at the chorio- decidual interface, in response to various risk factors can compromise immune tolerance that maintains pregnancy, amplify inflammatory response, and trigger pathways of PTB. Multiple drugs in preclinical trials have shown that they can reduce inflammation and delay PTB. However, challenges in testing drug transport, metabolic changes, and teratogenicity have hindered PTB drug development. Unfortunately, current in vitro cell culture models and animal models have several limitations, and focus is given only to placental transport of drugs. To overcome these limitations, we have been successfully developing several tissue chip models of the FMi using primary human cells and have demonstrated that they can recapitulate the functions and responses of healthy and disease states of the FMis. However, our tissue chip models lack high-throughput screening (HTS) capabilities. This proposal will develop a high-throughput 3D bioprinted FMi tissue chip in a 96-well format, which can be used for HTS of large drug libraries, while keeping the key advantages of FMi tissue chips in mimicking in utero structure and functions. We will specifically focus on the chorio-decidua interface, motivated by two recent findings: 1) drug transport efficiently occurs through the chorio-decidual interface (FMi) like that seen in placenta, where previously it was thought that most transport occurs exclusively through placenta and 2) efficacy of Pravastatin (drug tested here) transported through this FMi is substantially higher than through placenta in reducing inflammation. In the UH2 phase, the healthy and disease (infection and inflammation-driven PTB) tissue chip model will be developed together with NCATS' intramural investigators, combining our expertise of PTB, FMi cells, tissue chip development, cell/ECM bioprinting, and high-throughput drug screening. In the UH3 phase, we will utilize the tissue chip to screen up to 1,000 drug compounds at NCATS, followed by further analysis of selected drugs of highest interest using our advanced (but lower throughput) FMi tissue chip model that is best suited for mechanistic studies. Our tissue chip model is expected to enable rapid testing of candidate therapeutics to bring epxperimental drugs more quickly to clinical trials.
抽象的 自发早产(PTB)影响了所有分娩的11%,这是重要的贡献者 新生儿死亡率和病态。 PTB中目前的干预措施旨在阻止母体子​​宫 延迟交货但成功有限的收缩。感染和宿主炎症反应是 偏爱PTB的主要因素。 Feto母亲界面(FMI)的炎症,特别是在合唱处 对各种危险因素的响应,判决界面可能会损害维持的免疫耐受性 怀孕,扩增炎症反应和触发PTB的途径。临床前试验中的多种药物 已经表明它们可以减少炎症并延迟PTB。但是,测试药物运输方面的挑战, 代谢变化和致畸性阻碍了PTB药物的发展。不幸的是,当前的体外细胞 培养模型和动物模型有几个局限性,仅将重点放在胎盘运输 毒品。为了克服这些局限性,我们已经成功地开发了几个组织芯片模型 FMI使用原代人细胞,并证明它们可以概括功能和响应 FMI的健康和疾病状态。但是,我们的组织芯片模型缺乏高通量筛选 (HTS)功能。该提案将在96孔中开发高通量3D生物打印FMI组织芯片 格式,可用于大型药物库的HT,同时保持FMI组织的关键优势 模仿子宫结构和功能的芯片。我们将专门关注合唱 - decidua界面, 由两个最近的发现激励:1)有效地通过合唱界面(FMI)进行药物运输有效发生 就像在胎盘中看到的那样,以前有人认为大多数运输都是仅通过 胎盘和2)通过该FMI运输的pravastatin的功效(在此测试)较高 比通过胎盘减少炎症。在UH2阶段,健康和疾病(感染和 炎症驱动的PTB)组织芯片模型将与NCAT的壁内研究者一起开发 结合我们的PTB,FMI细胞,组织芯片开发,细胞/ECM生物打印和高通量的专业知识 药物筛查。在UH3阶段,我们将使用组织芯片筛选多达1,000种药物化合物 NCAT,然后使用我们的晚期对选定的最高兴趣药物进行进一步分析(但较低 吞吐量)FMI组织芯片模型,最适合机械研究。我们的组织芯片模型是可以的 为了使候选治疗剂的快速测试能够将癫痫病毒更快地带入临床试验。

项目成果

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Arum Han其他文献

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{{ truncateString('Arum Han', 18)}}的其他基金

Project 3
项目3
  • 批准号:
    10349753
  • 财政年份:
    2022
  • 资助金额:
    $ 42.96万
  • 项目类别:
3-D biofabricated feto-maternal interface tissue model to determine drug efficacy during pregnancy to reduce the risk of preterm birth
3D 生物制造胎儿-母体界面组织模型,用于确定妊娠期间的药物疗效,以降低早产风险
  • 批准号:
    10670735
  • 财政年份:
    2022
  • 资助金额:
    $ 42.96万
  • 项目类别:
Project 3
项目3
  • 批准号:
    10707445
  • 财政年份:
    2022
  • 资助金额:
    $ 42.96万
  • 项目类别:
Developing extracellular vesicle based therapeutics against pre-term birth through the use of maternal-fetal interface on a chip
通过使用芯片上的母胎界面开发基于细胞外囊泡的早产疗法
  • 批准号:
    10434794
  • 财政年份:
    2020
  • 资助金额:
    $ 42.96万
  • 项目类别:
Administrative Supplement to Intercellular interactions define cell migrations and transitions that maintain fetal membrane homeostasis
细胞间相互作用的行政补充定义了维持胎膜稳态的细胞迁移和转变
  • 批准号:
    10177264
  • 财政年份:
    2020
  • 资助金额:
    $ 42.96万
  • 项目类别:
Intercellular interactions define cell migrations and transitions that maintain fetal membrane homeostasis
细胞间相互作用定义了维持胎膜稳态的细胞迁移和转变
  • 批准号:
    10356919
  • 财政年份:
    2020
  • 资助金额:
    $ 42.96万
  • 项目类别:
Accelerating discovery of neutralizing paratopes with Functional Antibody Screening Technology
利用功能性抗体筛选技术加速中和互补位的发现
  • 批准号:
    10088379
  • 财政年份:
    2020
  • 资助金额:
    $ 42.96万
  • 项目类别:
Developing extracellular vesicle based therapeutics against pre-term birth through the use of maternal-fetal interface on a chip
通过使用芯片上的母胎界面开发基于细胞外囊泡的早产疗法
  • 批准号:
    10037855
  • 财政年份:
    2020
  • 资助金额:
    $ 42.96万
  • 项目类别:
Developing extracellular vesicle based therapeutics against pre-term birth through the use of maternal-fetal interface on a chip
通过使用芯片上的母胎界面开发基于细胞外囊泡的早产疗法
  • 批准号:
    10492233
  • 财政年份:
    2020
  • 资助金额:
    $ 42.96万
  • 项目类别:
Developing extracellular vesicle based therapeutics against pre-term birth through the use of maternal-fetal interface on a chip
通过使用芯片上的母胎界面开发基于细胞外囊泡的早产疗法
  • 批准号:
    10247504
  • 财政年份:
    2020
  • 资助金额:
    $ 42.96万
  • 项目类别:

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3-D biofabricated feto-maternal interface tissue model to determine drug efficacy during pregnancy to reduce the risk of preterm birth
3D 生物制造胎儿-母体界面组织模型,用于确定妊娠期间的药物疗效,以降低早产风险
  • 批准号:
    10670735
  • 财政年份:
    2022
  • 资助金额:
    $ 42.96万
  • 项目类别:
Early Toxicity Detection Technologies via Exosomal Signatures in 3D Hepatic Tissues
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