Heart-lung-on-a-chip featuring dynamic flow-resistance capture for drug-associated cardiac dysfunction assessment under tumor-immune-conditioned drug exposure.

Authors

He-Jhen Chen, Tien-Chun Yang, Wei-Lun Sun, Chun-Yao Huang, Cheng-Hsien Liu, Kang-Yun Lee

Published in

Lab on a chip. Sep 30, 2026. Epub Sep 30, 2026.

Abstract

A dual-layer heart-lung-on-a-chip integrating flow-resistance capture was developed to enable the assessment of cardiac responses to lung cancer therapeutics under tumor-immune-conditioned exposure. The compartment incorporates an A549-Jurkat tumor-immune co-culture and exposure to chemotherapy and immune checkpoint inhibitors. The lower heart compartment incorporates a dynamic flow-resistance capture structure that selectively traps heart organoids with diameters of 150-200 μm, ensuring stable positioning and uniform perfusion. A 4 μm porous membrane separates the compartments, enabling membrane-mediated molecular exchange and providing a simplified inter-compartment exposure model. Three agents-doxorubicin hydrochloride, pembrolizumab, and atezolizumab-were evaluated in monoculture and immune co-culture settings. Cardiac contractile activity was monitored using a custom MATLAB-based image analysis pipeline to quantify the beat rate, inter-beat interval, and heart rate variability. Immune co-culture enhanced drug-induced functional impairment, with the magnitude of immune-co-culture-associated enhancement of drug-induced cardiac functional impairment following the order: doxorubicin > pembrolizumab > atezolizumab. The lung cancer-immune co-culture setting enhanced drug-induced cardiac functional impairment compared with monoculture conditions, revealing differential cardiac functional responses that were not readily apparent in monoculture. This integrated microfluidic system combines multi-organ interactions, precise organoid capture, and automated functional readouts. This offers a reproducible and physiologically relevant approach for preclinical drug safety profiling and has potential applications in precision oncology and personalized medicine.

PMID:
42813410
Bibliographic data and abstract were imported from PubMed on 30 Sep 2026.

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