Biosystems and Biomaterials Division, Material Measurement Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA.
Statistical Engineering Division, Information Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA.
ALTEX. 2024;41(4):633-646. doi: 10.14573/altex.2405071. Epub 2024 Aug 7.
Biocompatibility testing using in vivo tests is often one of the final evaluations of new dental materials. To reduce the likelihood of failure at this late stage, predictive biocompatibility testing using in vitro methods is needed. In this study, we describe a sensitivity analysis of an oral irritation test by evaluating changes in the viability, using the MTT assay, of 3-D models with EpiOral constructs as a case study. Experiments that tested sources of variability in the assay led to recommendations regarding the storage of the constructs after arrival, pipetting procedure, use of MTT reagents from different vendors, use of transepithelial electrical resistance measurements, and statistical analyses. A statistical model was proposed to evaluate whether test substances yield a positive or negative result and the associated statistical confidence. Testing several test compounds such as the Y-4 polymer, which contains a known irritant, and dentally relevant substances such as sodium dodecyl sulfate (SDS) at varying concentrations revealed statistically significant results as expected. Lastly, a software app was designed to support a multiwell culture plate layout design. Overall, the findings and suggestions documented here will support the further development and potential standardization of this assay system and may be useful for the development of other assays using 3-D constructs.
使用体内测试进行生物相容性测试通常是新牙科材料的最终评估之一。为了降低在这个后期阶段失败的可能性,需要使用体外方法进行预测性生物相容性测试。在本研究中,我们通过评估使用 MTT 测定法的三维模型中 EpiOral 构建体的活力变化,对口腔刺激性测试进行了敏感性分析。对测定中变异性来源的实验导致了关于构建体到达后的储存、移液程序、来自不同供应商的 MTT 试剂的使用、跨上皮电阻测量以及统计分析的建议。提出了一个统计模型来评估测试物质是否产生阳性或阴性结果以及相关的统计置信度。测试了几种测试化合物,如含有已知刺激性物质的 Y-4 聚合物以及牙科相关物质如十二烷基硫酸钠 (SDS),以不同浓度进行测试,得到了预期的统计学显著结果。最后,设计了一个软件应用程序来支持多孔培养板布局设计。总的来说,这里记录的发现和建议将支持该测定系统的进一步发展和潜在标准化,并可能对使用三维构建体开发其他测定法有用。