Department of Life Science, School of Sciences, Gujarat University, India.
Department of Life Science, School of Sciences, Gujarat University, India.
J Pharm Biomed Anal. 2021 Sep 5;203:114202. doi: 10.1016/j.jpba.2021.114202. Epub 2021 Jun 8.
Oral Submucous Fibrosis (OSMF) is a type of precancerous condition of Oral cancer and considered to have the greatest malignant potential. Biopsy is an ultimate option for the conformation of the malignancy. But the invasiveness of the procedure makes it interdict. Therefore, there is an urgent need to identify effective screening and diagnostic methods which would be less invasive, rapid, more accurate and cost effective. Here, we used Attenuated Total Reflection- Fourier transform infrared spectroscopy (ATR-FTIR) with Chemometric analysis coupled with estimation of total salivary protein to discriminate OSMF and Healthy Control (HC). The present study showed the specific Infrared spectrum for OSMF patients, which was specifically differentiated from HC based on the spectral shift of proteins/amide II, carbohydrate and nucleic acid using Principal Component Analysis (PCA) and Hierarchical Clustering Analysis (HCA) with small data sets. ATR-FTIR spectroscopy of saliva coupled with total protein estimation can be used to discriminate between OSMF and HC. However, large sample size should be needed to evaluate the ATR-FTIR for consideration as a screening tool for an early diagnosis OSMF.
口腔黏膜下纤维性变(OSMF)是一种口腔癌的癌前病变,被认为具有最大的恶性潜能。活检是确认恶性肿瘤的最终选择。但是,该操作的侵入性使得它被禁止。因此,迫切需要确定更具侵入性、快速、更准确和更具成本效益的有效筛查和诊断方法。在这里,我们使用衰减全反射-傅里叶变换红外光谱(ATR-FTIR)结合化学计量分析以及总唾液蛋白的估计来区分 OSMF 和健康对照组(HC)。本研究显示了 OSMF 患者的特定红外光谱,基于蛋白质/酰胺 II、碳水化合物和核酸的光谱位移,通过主成分分析(PCA)和层次聚类分析(HCA),与 HC 进行了特异性区分,数据集较小。唾液的 ATR-FTIR 光谱结合总蛋白估计可用于区分 OSMF 和 HC。然而,需要更大的样本量来评估 ATR-FTIR 作为 OSMF 早期诊断的筛查工具。