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Related Experiment Video

Updated: Jul 1, 2025

Author Spotlight: Developing a Unique Modular Microphysiological System to Mimic Human Barrier Tissue

Author Spotlight: Developing a Unique Modular Microphysiological System to Mimic Human Barrier Tissue

Published on: February 16, 2024

Complex or not too complex? One size does not fit all in next generation microphysiological systems.

Simone Bersini^1,2,3, Chiara Arrigoni^1,2,3, Giuseppe Talò⁴

¹Regenerative Medicine Technologies Lab, Laboratories for Translational Research, Ente Ospedaliero Cantonale, via Chiesa 5, 6500 Bellinzona, Switzerland.

|March 4, 2024

Summary

Researchers are developing advanced microphysiological systems (MPS) to address limitations in traditional biological models. Tailoring MPS complexity is crucial for reliable data analysis and broader application in research and industry.

Keywords:

Bioengineering Biomaterials

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Area of Science:

Biotechnology
In vitro modeling
Organ-on-a-chip technology

Background:

Existing in vitro and in vivo models have recognized shortcomings.
Microphysiological systems (MPS) are emerging as advanced alternatives.
Early MPS included 2.5D systems like microfluidic cell cultures.

Purpose of the Study:

To discuss the development and challenges of increasingly complex MPS.
To address the need for improved reproducibility, robustness, and data analysis in MPS.
To propose tailoring MPS complexity for specific applications and combining data from different model complexities.

Main Methods:

Review of microphysiological system development, from 2.5D to multi-organ systems.
Discussion of challenges in reproducibility, reliability, and data handling for complex MPS.
Exploration of strategies for optimizing MPS complexity and integrating data.

Main Results:

Microphysiological systems have evolved from simple 2.5D structures to complex multi-organ-on-chip devices.
Increased MPS complexity presents challenges in standardization and data interpretation.
Tailoring MPS complexity and integrating data from various models can enhance predictive power.

Conclusions:

The advancement of microphysiological systems necessitates a strategic approach to complexity.
Improving the reproducibility and data analysis of MPS is critical for their adoption.
Matching MPS complexity to the intended application and combining data sources will maximize their utility.