Modeling an Optimal 3D Skin-on-Chip within Microfluidic Devices for Pharmacological Studies

Area of Science:

• Biotechnology
• Tissue Engineering
• Pharmacology

Background:

• Preclinical research faces limitations due to poor human tissue representation in current models, leading to inaccurate drug efficacy and safety predictions.
• Existing 2D/3D cell cultures and organoids show progress but often fail to capture the full complexity of human tissues.
• Skin-on-chip (SoC) technology advances dynamic 3D cultures, moving beyond static models to better mimic human skin physiology.

Purpose of the Study:

• To review the essential biological and mechanical components for developing advanced human skin-on-chip models.
• To highlight the potential of next-generation SoC in overcoming limitations of current preclinical testing methods.
• To guide the creation of more realistic skin models for pharmacological, toxicological, and cosmetic evaluations.

Main Methods:

• Review of current literature on skin-on-chip technology and its components.
• Analysis of biological constituents and mechanical requirements for human skin mimicry.
• Discussion of potential integrations for next-generation skin-on-chip systems.

Main Results:

• Skin-on-chip technology enables dynamic 3D culture systems that better represent human skin physiology compared to static models.
• Integration of vasculature, immune components, and microbiome in SoC models is crucial for enhanced complexity.
• Continuous metabolic monitoring in advanced SoC can provide more robust and reliable data.

Conclusions:

• Advanced skin-on-chip models incorporating biological and mechanical human skin features are essential for realistic preclinical testing.
• Future SoC development should focus on integrating dynamic systems like vasculature and immune components.
• These improved models will significantly enhance the accuracy and reliability of drug candidate and cosmetic assessments.