@article{85c3f47ca32b473dbb1238e99209c6b3,
title = "Synovial joint-on-a-chip for modeling arthritis: progress, pitfalls, and potential",
abstract = "Disorders of the synovial joint, such as osteoarthritis (OA) and rheumatoid arthritis (RA), afflict a substantial proportion of the global population. However, current clinical management has not been focused on fully restoring the native function of joints. Organ-on-chip (OoC), also called a microphysiological system, which typically accommodates multiple human cell-derived tissues/organs under physiological culture conditions, is an emerging platform that potentially overcomes the limitations of current models in developing therapeutics. Herein, we review major steps in the generation of OoCs for studying arthritis, discuss the challenges faced when these novel platforms enter the next phase of development and application, and present the potential for OoC technology to investigate the pathogenesis of joint diseases and the development of efficacious therapies.",
keywords = "arthritis, disease modeling, drug testing, joint disease, microphysiological system, personalized medicine",
author = "Li, {Zhong Alan} and Shilpa Sant and Cho, {Sung Kwon} and Goodman, {Stuart B.} and Bunnell, {Bruce A.} and Tuan, {Rocky S.} and Gold, {Michael S.} and Hang Lin",
note = "Funding Information: The authors are grateful to their lab members who contributed to joint OoC-related research over the past 5 years. This work was supported by funding from the National Institutes of Health [ UG3/UH3TR002136 to R.S.T. (UG3 phase) and H.L. (UH3 phase), UG3/UH3TR003090 to M.S.G. and H.L.], the US Department of Defense ( W81XWH2010902 to H.L.), and the Pitt Momentum Funds from the University of Pittsburgh (Teaming Grants to H.L.). R.S.T. is supported by the Lee Quo Wei and Lee Yik Hoi Lun Professorship in Tissue Engineering and Regenerative Medicine. Figures 1–4 were created with elements from BioRender ( Biorender.com ). Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",
year = "2022",
doi = "10.1016/j.tibtech.2022.07.011",
language = "English",
journal = "Trends in Biotechnology",
issn = "0167-7799",
publisher = "Elsevier Ltd",
}