目的:本研究旨在访问中红外(MIR)光谱对OLP网状结构的识别的有效性,在评估龈沟液(GCF)和口腔粘膜渗出物(OMT)之后。
方法:试验遵循病例对照设计。通过MIR光谱对样品进行表征,并应用化学计量学工具来区分病例和对照参与者。进一步确定对开发模型贡献最大的光谱区域。
结果:MIR光谱能够区分OLP患者和对照组,正确预测分别为95.1%和85.4%。关于GCF和OMT样品,分别。此外,确定了主要有助于成功预测的光谱区域,可能与口腔生物流体中氨基酸/蛋白质和氧化应激介质的独特存在有关,支持免疫炎症激活对OLP病因和病程的作用。
结论:GCF和OMT的MIR光谱分析可以被认为是一种创新,非侵入性,低成本和灵敏的技术,有助于从OLP中鉴定网状物。
OBJECTIVE: This study aims to access the effectiveness of mid-infrared (MIR) spectroscopy on the identification of the reticular form of OLP, following the assessment of gingival crevicular fluid (GCF) and oral mucosa transudate (OMT).
METHODS: The trial follows a
case-control design. Samples were characterized through MIR spectroscopy and chemometric tools were applied to distinguish between
case and control participants, further identifying the spectral regions with the highest contribution to the developed models.
RESULTS: MIR spectroscopy was capable to discriminate between OLP patients and controls with 95.1% and 85.4% of correct predictions, regarding GCF and OMT samples, respectively. Additionally, the spectral regions mostly contributing to the successful prediction were identified, and possibly related with the distinctive presence of amino acids/proteins and oxidative stress mediators in oral biofluids, supporting the role of the immune-inflammatory activation on OLP etiology and disease course.
CONCLUSIONS: MIR spectroscopy analysis of GCF and OMT may be regarded as an innovative, non-invasive, low cost and sensitive technique, contributing to the identification of the reticular from of OLP.