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-cha...

Full description

Saved in:
Bibliographic Details
Published inDiscover applied sciences Vol. 7; no. 8; pp. 1 - 17
Main Authors Borrego, Edgar A., Perez, Jose L., Esparza, Aibhlin, Delgado, Paula, Moreno, Kevin, Poon, Wilson, Chambers, David, Joddar, Binata, Natividad-Diaz, Sylvia L.
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 31.07.2025
Springer
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
Bibliography:Edgar A. Borrego and Jose L. Perez contributed equally to this work.
The manuscript was written through contributions of all authors. All authors have reviewed and given approval to the final version of the manuscript. E.A.B. and J.L.P. contributed equally. E.A.B. contributed with investigation, methodology, conceptualization, data curation, formal analysis, writing– original draft. J.L.P. contributed with investigation, methodology, conceptualization, data curation, formal analysis, writing– original draft. A.E. contributed with validation, methodology, writing– review and editing. P.D. contributed with investigation and visualization.K.M. contributed with software development. W.P. contributed with investigation, validation, resources. D.C. contributed with software development, validation, resources. B.J. contributed with investigation, validation, resources. S.N.D. contributed with validation, project administration, investigation, resources, conceptualization, supervision, visualization, funding acquisition, writing– review and editing.
Author contributions
ISSN:3004-9261
3004-9261
DOI:10.1007/s42452-025-07523-y