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用于抗癌和心脏毒性药物筛选并具备自动图像分析功能的3D多组织微生理系统

3D Multi-Tissue microphysiological system for Anti-Cancer and cardiotoxicity drug screening with automated image analysis.

作者信息

Borrego Edgar A, Perez Jose L, Esparza Aibhlin, Delgado Paula, Moreno Kevin, Poon Wilson, Chambers David, Joddar Binata, Natividad-Diaz Sylvia L

机构信息

Department of Metallurgical, Materials, and Biomedical Engineering (MMBME), The University of Texas at El Paso (UTEP), 500 W University Ave, 79968 El Paso, TX, USA.

3D Microphysiological Systems Laboratory (3DMPSL), The University of Texas at El Paso, 500 W University Ave, 79968 El Paso, TX, USA.

出版信息

Discov Appl Sci. 2025 Aug;7(8). doi: 10.1007/s42452-025-07523-y. Epub 2025 Jul 31.

Abstract

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.

摘要

基于微流控的微生理系统(MPS)中的体外3D组织模型为定量分析分离的细胞过程对生化或生物物理刺激的反应提供了可控且可重复的平台。本研究展示了一种具有双腔、封闭毛细管回路微流控培养平台的3D MPS的开发,用于体外研究乳腺癌和胶质母细胞瘤等侵袭性恶性肿瘤的化疗药物疗效。这种新型微流控系统用于模拟HER2 +乳腺癌(BCTM-SKBR3)与心脏(CTM-AC16)组织共培养,以进行化疗诱导的心脏毒性概念验证研究。为了进一步证明该系统的多功能性,还纳入了一个具有化疗疗效研究的胶质母细胞瘤组织模型。此外,基于Python的自动图像分析脚本(AIAPS)的实施有助于从3D荧光z-stack图像定量分析组织模型内的细胞大小。结果表明,在3D组织模型中,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得以维持,并且化疗处理后细胞大小有可检测到的变化。这些结果证明了该系统作为临床前药物筛选平台的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efa8/12368580/fd9c9345c5fc/nihms-2102190-f0001.jpg

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