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高通量 3D 打印的胎儿-母体界面模型用于发现和开发早产治疗方法。

High-Throughput 3D-Printed Model of the Feto-Maternal Interface for the Discovery and Development of Preterm Birth Therapies.

机构信息

Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77840, United States.

Division of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States.

出版信息

ACS Appl Mater Interfaces. 2024 Aug 14;16(32):41892-41906. doi: 10.1021/acsami.4c08731. Epub 2024 Jul 30.

Abstract

Spontaneous preterm birth (PTB) affects around 11% of births, posing significant risks to neonatal health due to the inflammation at the fetal-maternal interface (FMi). This inflammation disrupts immune tolerance during pregnancy, often leading to PTB. While organ-on-a-chip (OOC) devices effectively mimic the physiology, pathophysiology, and responses of FMi, their relatively low throughput limits their utility in high-throughput testing applications. To overcome this, we developed a three-dimensional (3D)-printed model that fits in a well of a 96-well plate and can be mass-produced while also accurately replicating FMi, enabling efficient screening of drugs targeting FMi inflammation. Our model features two cell culture chambers (maternal and fetal cells) interlinked via an array of microfluidic channels. It was thoroughly validated, ensuring cell viability, metabolic activity, and cell-specific markers. The maternal chamber was exposed to lipopolysaccharides (LPS) to induce an inflammatory state, and proinflammatory cytokines in the culture supernatant were quantified. Furthermore, the efficacy of anti-inflammatory inhibitors in mitigating LPS-induced inflammation was investigated. Results demonstrated that our model supports robust cell growth, maintains viability, and accurately mimics PTB-associated inflammation. This high-throughput 3D-printed model offers a versatile platform for drug screening, promising advancements in drug discovery and PTB prevention.

摘要

自发性早产 (PTB) 影响约 11%的分娩,由于胎儿-母体界面 (FMi) 的炎症,对新生儿健康构成重大风险。这种炎症破坏了怀孕期间的免疫耐受,常导致 PTB。虽然器官芯片 (OOC) 设备有效地模拟了 FMi 的生理学、病理生理学和反应,但它们相对较低的通量限制了它们在高通量测试应用中的实用性。为了克服这一问题,我们开发了一种 3D 打印模型,可安装在 96 孔板的孔中,可批量生产,同时还能准确复制 FMi,从而能够高效筛选针对 FMi 炎症的药物。我们的模型具有两个细胞培养室(母体和胎儿细胞),通过一系列微流控通道相互连接。该模型经过了全面验证,确保了细胞活力、代谢活性和细胞特异性标志物的准确性。母室暴露于脂多糖 (LPS) 以诱导炎症状态,并定量分析培养上清液中的促炎细胞因子。此外,还研究了抗炎抑制剂在减轻 LPS 诱导的炎症中的疗效。结果表明,我们的模型支持强大的细胞生长,保持活力,并准确模拟与 PTB 相关的炎症。这种高通量 3D 打印模型为药物筛选提供了一个多功能平台,有望推动药物发现和 PTB 预防的进展。

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What Can an Organ-on-a-Chip Teach Us About Human Lung Pathophysiology?器官芯片:人类肺部病理生理学研究的新视角
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