Creation of a Knee Joint-on-a-Chip for Modeling Joint Diseases and Testing Drugs

作者： Meagan J. Makarcyzk1,2, Zhong Alan Li1,3, Ilhan Yu1, Haruyo Yagi1, Xiurui Zhang1, Lauren Yocum1, Eileen Li1, Madalyn R. Fritch1, Qi Gao4, Bruce A. Bunnell5, Stuart B. Goodman4,6, Rocky S. Tuan1,8, Peter G. Alexander1,7, Hang Lin1,2,7 1Department of Orthopaedic Surgery,University of Pittsburgh School of Medicine, 2Department of Bioengineering,University of Pittsburgh Swanson School of Engineering, 3Department of Neurobiology,University of Pittsburgh School of Medicine, 4Department of Orthopaedic Surgery,Stanford University, 5Department of Microbiology, Immunology, and Genetics,University of North Texas Health Science Center, 6Department of Bioengineering,Stanford University, 7McGowan Institute for Regenerative Medicine,University of Pittsburgh School of Medicine, 8The Chinese University of Hong Kong

简介：

Overview

This study presents methods for generating four types of tissues from human mesenchymal stem cells, specifically cartilage, bone, fat pad, and synovium, to create a knee joint-on-a-chip model. This microphysiological system aims to better predict human responses to drugs in clinical trials.

Key Study Components

Area of Science

• Neuroscience
• Stem Cell Biology
• Microphysiological Systems

Background

• Current preclinical models do not accurately reflect human physiology.
• Osteoarthritis is a prevalent joint disease that requires effective drug testing.
• Human mesenchymal stem cells can differentiate into various tissue types.
• Microfluidic systems can enhance the integration of different tissues.

Purpose of Study

• To develop a knee joint-on-a-chip model for osteoarthritis research.
• To provide a platform for testing disease-modifying osteoarthritis drugs.
• To improve the predictive accuracy of drug responses in clinical trials.

Methods Used

• Preparation of methacrylated gelatin (GelMA) for tissue scaffolding.
• Integration of four tissue types into a customized bioreactor.
• Utilization of microfluidics for tissue connectivity.
• Testing of drug responses in the knee joint-on-a-chip model.

Main Results

• The knee joint-on-a-chip accurately mimics osteoarthritis conditions.
• Drug testing on the model shows potential for cost savings in clinical trials.
• Successful integration of cartilage, bone, fat pad, and synovium tissues.
• Demonstrated feasibility of using human-derived tissues for drug testing.

Conclusions

• The developed model can significantly enhance preclinical drug testing.
• It addresses the limitations of current models in predicting human responses.
• This approach may lead to more effective treatments for osteoarthritis.

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