3D Engineering of Ocular Tissues for Disease Modeling and Drug Testing

Area of Science:

• Ocular drug development
• Biomedical engineering
• Stem cell technology

Background:

• Drug development faces low success rates due to poor translation from preclinical models.
• Two-dimensional (2D) models lack physiological relevance, failing to mimic human conditions.
• Three-dimensional (3D) and microfluidic systems offer more native-like biological assay platforms.

Purpose of the Study:

• To explore advanced 3D ocular models for improved drug screening.
• To discuss visualization and quantification techniques for 3D tissue models.
• To highlight the potential of these technologies in addressing ocular diseases.

Main Methods:

• Development of 3D cellular in vitro systems, organoids, and biofabrication.
• Utilization of human-induced pluripotent stem cell (iPSC) technology for tissue models.
• Application of tissue-clearing techniques and 3D segmentation for imaging.
• Integration of machine learning with cheminformatics and phenotypic screening.

Main Results:

• 3D models provide mechanical cues and a microenvironment, mimicking human physiology.
• Tissue clearing enhances light penetration for imaging thick 3D tissues.
• 3D segmentation allows for quantitative analysis of tissue images.
• High-throughput screening (HTS) of drug compounds in 3D models is becoming feasible.

Conclusions:

• Advanced 3D ocular models hold significant promise for improving drug efficacy prediction.
• Novel visualization and quantification methods are crucial for analyzing complex 3D tissue data.
• Integrating these technologies can accelerate the development of treatments for ocular diseases.