用于抗癌和心脏毒性药物筛选的三维多组织微生理系统与自动图像分析。

Discover applied sciences Pub Date : 2025-08-01 Epub Date: 2025-07-31 DOI:10.1007/s42452-025-07523-y
Edgar A Borrego, Jose L Perez, Aibhlin Esparza, Paula Delgado, Kevin Moreno, Wilson Poon, David Chambers, Binata Joddar, Sylvia L Natividad-Diaz
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引用次数: 0

摘要

基于微流体的微生理系统(MPS)内的体外3D组织模型为对生化或生物物理刺激的孤立细胞过程的量化提供了可控和可复制的平台。本研究展示了一种具有双腔、封闭毛细管回路微流体培养平台的3D MPS的开发,用于体外研究侵袭性恶性肿瘤(如乳腺癌和胶质母细胞瘤)化疗药物的疗效。这种新型微流体系统被用于模拟HER2 +乳腺癌(BCTM-SKBR3)与心脏(CTM-AC16)组织共培养,用于化疗诱导的心脏毒性研究的概念验证。为了进一步证明该系统的多功能性,我们纳入了一个胶质母细胞瘤组织模型,并进行了化疗疗效研究。此外,基于python的自动图像分析脚本(AIAPS)的实现有助于从3D荧光z堆叠图像中定量组织模型中的细胞大小。结果表明,在3D组织模型中,维持谱系特异性生物标志物表达,生理相关的细胞形态和结构组织,以及化疗后细胞大小的可检测变化。这些结果证明了该系统作为临床前药物筛选平台的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Multi-Tissue microphysiological system for Anti-Cancer and cardiotoxicity drug screening with automated image analysis.

In vitro 3D tissue models within microfluidic-based microphysiological systems (MPS) provide controlled and reproducible platforms for quantification of isolated cellular processes in response to biochemical or biophysical stimulus. This study demonstrates the development of a 3D MPS with a dual-chamber, closed-capillary circuit microfluidic culture platform to study chemotherapy drug efficacy in vitro for aggressive malignancies such as breast cancer and glioblastoma. This novel microfluidic system was used to model HER2 + breast cancer (BCTM-SKBR3) co-cultured with cardiac (CTM-AC16) tissue for proof-of-concept chemotherapy-induced cardiotoxicity studies. To further demonstrate the versatility of this system, a glioblastoma tissue model with chemotherapy efficacy studies was included. Additionally, implementation of a Python-based automated image analysis script (AIAPS) facilitated quantification of cell size within the tissue models from 3D fluorescence z-stack images. The results demonstrate maintenance of lineage-specific biomarker expression, physiologically relevant cell morphology and structural organization, and detectable changes in cell sizes with chemotherapy treatment within the 3D tissue models. These results demonstrated the system's potential for use as a preclinical drug screening platform.

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