Purpose <p>The organ-on-a-chip (OOC) technology has transformed in vitro modeling by replicating human organ microenvironments with high fidelity, offering improved platforms for drug discovery and disease modeling. However, existing biomechanical stretch-compression platforms are often costly, rely on proprietary chip designs, and lack flexibility in generating (patho)physiological waveforms. These limitations hinder the accurate replication of dynamic biomechanical cues experienced by tissues and organs in vivo. This study presents the Pressure Regulator Platform (PRP), a low-cost, chip-agnostic system designed to deliver customizable and patient-specific stretch-compression biomechanical stimuli to OOC devices.</p> Methods <p>The PRP integrates hardware, electronics, and software to enable real-time generation of user-defined mechanical waveforms. Users can input patient-derived waveform profiles or select predefined waveforms, modifying frequency and amplitude to match physiological and pathological conditions. The PRP was tested on a blood vessel-on-a-chip model, evaluating its ability to replicate vascular biomechanics by applying controlled strain through vacuum-induced membrane deformation.</p> Results <p>The PRP successfully reproduced patient-derived waveform profiles with high accuracy. The chip-agnostic design approach allowed seamless integration with multiple OOC configurations. Furthermore, this platform-maintained error levels below 1% for stabilized generic waveforms and achieved controlled vascular biomechanics in the OOC model, facilitating unidirectional alignment of vascular smooth muscle cells.</p> Conclusion <p>The PRP provides a flexible and accessible platform for customizable and patient-derived biomechanical stimulation, enhancing the physiological relevance of in vitro models. Its capability to replicate patient-specific biomechanical conditions paves the way for applications in drug discovery, disease modeling, and personalized medicine.</p> Lay Summary <p>The organ-on-a-chip (OOC) technology provides a promising alternative to traditional drug testing by recreating human organ functions in miniature laboratory-grown models. However, current systems lack flexibility in applying biomechanical forces that mimic in vivo conditions. Herein, we developed the Pressure Regulator Platform (PRP), a low-cost, adaptable system that delivers stretch-compression stimuli to OOC devices. The PRP allows users to input patient-derived waveforms and fine-tune parameters like frequency and amplitude to replicate (patho)physiological conditions. This innovation enhances the accuracy of in vitro models, offering potential applications in drug discovery, disease modeling, and personalized medicine by tailoring biomechanical conditions to organ/patient-specific data.</p> Future Works <p>Future research will explore additional (patho)physiological effects by integrating a broader range of tissue and organ models, refining strain conditions, understanding deeper biological mechanisms, and expanding PRP applications beyond vascular systems. Investigations into long-term cellular responses, disease progression, and drug interactions will further enhance the platform’s potential for biomimetic in vitro modeling.</p>

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A Pressure Regulator Platform for Applying Biomechanical Stimuli on Organ-on-A-Chip Systems with Physiological and Pathological Relevancy

  • Carlos Ezio Garciamendez-Mijares,
  • Francisco Aguilar Rojas,
  • David S. Rendon Ruiz,
  • Xuan Mei,
  • Pavel Hernandez,
  • Begoña Sanchez Gonzalez,
  • Jose Gerardo Marin Canchola,
  • Victoria Abril Manjarrez Rivera,
  • Ricardo Rodriguez,
  • Francisco Lugo Mestre,
  • Sushila Maharjan,
  • Shayan Gholizadeh,
  • Marie Denis Gerhard-Herman,
  • Yu Shrike Zhang

摘要

Purpose

The organ-on-a-chip (OOC) technology has transformed in vitro modeling by replicating human organ microenvironments with high fidelity, offering improved platforms for drug discovery and disease modeling. However, existing biomechanical stretch-compression platforms are often costly, rely on proprietary chip designs, and lack flexibility in generating (patho)physiological waveforms. These limitations hinder the accurate replication of dynamic biomechanical cues experienced by tissues and organs in vivo. This study presents the Pressure Regulator Platform (PRP), a low-cost, chip-agnostic system designed to deliver customizable and patient-specific stretch-compression biomechanical stimuli to OOC devices.

Methods

The PRP integrates hardware, electronics, and software to enable real-time generation of user-defined mechanical waveforms. Users can input patient-derived waveform profiles or select predefined waveforms, modifying frequency and amplitude to match physiological and pathological conditions. The PRP was tested on a blood vessel-on-a-chip model, evaluating its ability to replicate vascular biomechanics by applying controlled strain through vacuum-induced membrane deformation.

Results

The PRP successfully reproduced patient-derived waveform profiles with high accuracy. The chip-agnostic design approach allowed seamless integration with multiple OOC configurations. Furthermore, this platform-maintained error levels below 1% for stabilized generic waveforms and achieved controlled vascular biomechanics in the OOC model, facilitating unidirectional alignment of vascular smooth muscle cells.

Conclusion

The PRP provides a flexible and accessible platform for customizable and patient-derived biomechanical stimulation, enhancing the physiological relevance of in vitro models. Its capability to replicate patient-specific biomechanical conditions paves the way for applications in drug discovery, disease modeling, and personalized medicine.

Lay Summary

The organ-on-a-chip (OOC) technology provides a promising alternative to traditional drug testing by recreating human organ functions in miniature laboratory-grown models. However, current systems lack flexibility in applying biomechanical forces that mimic in vivo conditions. Herein, we developed the Pressure Regulator Platform (PRP), a low-cost, adaptable system that delivers stretch-compression stimuli to OOC devices. The PRP allows users to input patient-derived waveforms and fine-tune parameters like frequency and amplitude to replicate (patho)physiological conditions. This innovation enhances the accuracy of in vitro models, offering potential applications in drug discovery, disease modeling, and personalized medicine by tailoring biomechanical conditions to organ/patient-specific data.

Future Works

Future research will explore additional (patho)physiological effects by integrating a broader range of tissue and organ models, refining strain conditions, understanding deeper biological mechanisms, and expanding PRP applications beyond vascular systems. Investigations into long-term cellular responses, disease progression, and drug interactions will further enhance the platform’s potential for biomimetic in vitro modeling.