Rapid 3D bioprinting of a multicellular model recapitulating pterygium microenvironment. (March 2022)

• Record Type: Journal Article
• Authors: Zhong, Zheng; Wang, Jing; Tian, Jing; Deng, Xiaoqian; Balayan, Alis; Sun, Yazhi; Xiang, Yi; Guan, Jiaao; Schimelman, Jacob; Hwang, Henry; You, Shangting; Wu, Xiaokang; Ma, Chao; Shi, Xiaoao; Yao, Emmie; Deng, Sophie X.; Chen, Shaochen
• Is Part Of: Biomaterials. Volume 282(2022)
• Publication Date: 2022-03
• Subjects: CjSC Conjunctival stem cells -- DLP Digital light processing -- RNA-seq RNA sequencing -- GelMA gelatin methacryloyl -- HAGM hyaluronic acid glycidyl methacrylate; 3D bioprinting -- Pterygium -- Epithelial mesenchymal transition -- Stem cells -- Hydrogels -- Disease model -- Tissue engineering; Biomedical materials -- Periodicals; Biocompatible Materials -- Periodicals; Biomatériaux -- Périodiques; 610.28
• DOI: 10.1016/j.biomaterials.2022.121391
• Languages: English
• ISSNs: 0142-9612

Abstract

Abstract: Pterygium is an ocular surface disorder with high prevalence that can lead to vision impairment. As a pathological outgrowth of conjunctiva, pterygium involves neovascularization and chronic inflammation. Here, we developed a 3D multicellular in vitro pterygium model using a digital light processing (DLP)-based 3D bioprinting platform with human conjunctival stem cells (hCjSCs). A novel feeder-free culture system was adopted and efficiently expanded the primary hCjSCs with homogeneity, stemness and differentiation potency. The DLP-based 3D bioprinting method was able to fabricate hydrogel scaffolds that support the viability and biological integrity of the encapsulated hCjSCs. The bioprinted 3D pterygium model consisted of hCjSCs, immune cells, and vascular cells to recapitulate the disease microenvironment. Transcriptomic analysis using RNA sequencing (RNA-seq) identified a distinct profile correlated to inflammation response, angiogenesis, and epithelial mesenchymal transition in the bioprinted 3D pterygium model. In addition, the pterygium signatures and disease relevance of the bioprinted model were validated with the public RNA-seq data from patient-derived pterygium tissues. By integrating the stem cell technology with 3D bioprinting, this is the first reported 3D in vitro disease model for pterygium that can be utilized for future studies towards personalized medicine and drug screening.