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PMID: 40666863 Published · epublish English Journal Article Preprint

Fluidic Programmable Gravi-maze Array for High Throughput Multiorgan Drug Testing.

bioRxiv : the preprint server for biology ·2025-06-24

Wong HC, Collins CJ, Jude Jose JA, Bhakta IN, Collins AJ, Katara G, Kohana J, Saluja HS, Collins J

Abstract

The high attrition rate of drug candidates in clinical trials underscores the urgent need for more predictive preclinical models that accurately replicate human physiology. Traditional two-dimensional (2D) cell cultures and animal models often fail to predict human responses due to their limited physiological relevance. This highlights the need for modeling and measurements of multiorgan interactions at higher throughput prompting the development of multiorgan-on-a-plate (MOAP) platforms. Here, we present OrganRX™, a modular, gravity-driven recirculation-based MOAP system designed to imitate human organ function, fluid dynamics, and inter-organ communication in vitro. The platform based on Fluidic Programmable Gravi-maze Array (FPGA) integrates multiple organ types-gut, liver, kidney, brain, and endothelium-within a microfluidic architecture that replicates physiological shear stress and unidirectional flow. Using computational fluid dynamics (CFD) simulations and impedance-based flow validation, we confirmed accurate shear control across organ compartments. Organ-specific and multiorgan models were constructed with 3D extracellular matrix hydrogels and assessed for metabolism and senescence. Liver-kidney co-cultures demonstrated metabolic interplay via differential albumin and urea production. Additionally, in drug response studies, phenylbutyrate (PB) alone reduced brain ROS in a gut-brain model, while subsequent treatment with curcumin (C) unexpectedly reversed this benefit, revealing context-specific drug interactions not observable in isolated organ models. Overall, the FPGA trademarked as OrganRX™ offers a physiologically relevant, scalable, and automation-compatible platform for preclinical drug evaluation and disease modeling. Its ability to capture complex, dynamic inter-organ effects positions it as a powerful tool for advancing translational research and precision medicine.

作者与单位
共 9 位作者,点击展开单位 / ORCID
Wong Henry C
Biopico Systems Inc, 188 Technology Dr, Suite G, Irvine CA 92618.
Collins Chris J
Biopico Systems Inc, 188 Technology Dr, Suite G, Irvine CA 92618.
Jude Jose Joshna A
Biopico Systems Inc, 188 Technology Dr, Suite G, Irvine CA 92618.
Bhakta Isha N
Biopico Systems Inc, 188 Technology Dr, Suite G, Irvine CA 92618.
Collins Andrew J
Biopico Systems Inc, 188 Technology Dr, Suite G, Irvine CA 92618.
Katara Gunjan
Biopico Systems Inc, 188 Technology Dr, Suite G, Irvine CA 92618.
Kohana Johar
Biopico Systems Inc, 188 Technology Dr, Suite G, Irvine CA 92618.
Saluja Harpreet S
Biopico Systems Inc, 188 Technology Dr, Suite G, Irvine CA 92618.
Collins John
Biopico Systems Inc, 188 Technology Dr, Suite G, Irvine CA 92618.
Article Info
Journal
bioRxiv : the preprint server for biology
Abbr.
bioRxiv
ISSN
2692-8205
Published
2025-06-24
电子出版
2025-00-24
Language
English
Country/Region
United States
NLM ID
101680187
基金资助
NIA NIH HHS · R43 AG073040 · United States
NIEHS NIH HHS · R43 ES032357 · United States
NIGMS NIH HHS · R44 GM139413 · United States
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