Kim Soo-Rim, Min Eun-Kyung, Lee Choon-Mi, Lee Jin Woo, Park Chan Hum, Jung YunJae, Oh Byung-Chul, Lee Hwa-Yong
Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon, 21999, Republic of Korea.
Department of Molecular Medicine, School of Medicine, Gachon University, Incheon 406-840, Republic of Korea.
Int J Biol Sci. 2024 Oct 28;20(15):5888-5909. doi: 10.7150/ijbs.104351. eCollection 2024.
The interactions between various cellular populations in the oral cavity, including gingival keratinocytes, tonsil-resident stem cells, periodontal ligament fibroblasts, and vascular endothelial cells, are crucial for maintaining oral health. These interactions regulate essential functions like tooth support and pathogen defense. However, conventional 2D and 3D models often fail to capture the complexity of these interactions and the multicellular architecture of the oral environment. To address this limitation, we developed an advanced 3D oral-on-a-chip system that mimics the dynamic microenvironment of oral tissues. This system incorporates multiple oral cells into a 3D structure made from natural polymers such as collagen and hyaluronic acid, crosslinked by blood-coagulating factors. Our study revealed that tonsil-resident stem cells are more sensitive to toxic exposure compared to differentiated cells like fibroblasts and endothelial cells. SERPINB2 was identified as a key biomarker of oral toxicity, with significant upregulation observed in tonsil-resident stem cells after exposure to toxins. Based on this, we developed a fluorescence-linked toxicity detection system using SERPINB2, enabling sensitive and quantitative assessments of oral toxicity. This integrated system provides a valuable tool for evaluating the oral toxicity of drug candidates.
口腔中各种细胞群体之间的相互作用,包括牙龈角质形成细胞、扁桃体驻留干细胞、牙周膜成纤维细胞和血管内皮细胞,对于维持口腔健康至关重要。这些相互作用调节着诸如牙齿支撑和病原体防御等基本功能。然而,传统的二维和三维模型往往无法捕捉这些相互作用的复杂性以及口腔环境的多细胞结构。为了解决这一局限性,我们开发了一种先进的口腔芯片系统,该系统模拟口腔组织的动态微环境。该系统将多种口腔细胞整合到由天然聚合物(如胶原蛋白和透明质酸)制成的三维结构中,这些聚合物通过血液凝固因子交联。我们的研究表明,与成纤维细胞和内皮细胞等分化细胞相比,扁桃体驻留干细胞对毒性暴露更为敏感。SERPINB2被确定为口腔毒性的关键生物标志物,在接触毒素后,扁桃体驻留干细胞中观察到其显著上调。基于此,我们开发了一种使用SERPINB2的荧光连接毒性检测系统,能够对口腔毒性进行灵敏且定量的评估。这种集成系统为评估候选药物的口腔毒性提供了一种有价值的工具。