Raman spectroscopic analysis of oral cells in the high wavenumber region

Abstract

Raman spectroscopy can provide a molecular-level signature of the biochemical composition and structure of cells with submicrometer spatial resolution and could be useful to monitor changes in composition for early stage and non-invasive cancer diagnosis, both ex-vivo and in vivo. In particular, the fingerprint spectral region (400-1800cm) has been shown to be very promising for optical biopsy purposes. However, limitations for discrimination of dysplastic and inflammatory processes based on the fingerprint region have been demonstrated. In addition, the Raman spectral signal of dysplastic cells is one important source of misdiagnosis of normal versus pathological tissues. The high wavenumber region (2800-3600cm) provides more specific information based on NH, OH and CH vibrations and can be used to identify the subtle changes which could be important for discrimination of samples. In this study, we demonstrate the potential of the high-wavenumber spectral region in this context by collecting Raman spectra of nucleolus, nucleus and cytoplasm from oral epithelial cancer (SCC-4) and dysplastic (DOK) cell lines and from normal oral epithelial primary cells, in vitro, in water immersion, which were then analyzed by principal components analysis as a method to discriminate the spectra. Analysis was performed before and after digital subtraction of the bulk water signal. In the normal cell line, the three subcellular regions are well differentiated before water subtraction, although the discrimination of the two nuclear regions is less well defined after water subtraction. Comparing the respective subcellular regions of the three cell lines, before water subtraction, the cell lines can be discriminated using sequential PCA and Feature Discriminant Analysis with up to ~100% sensitivity and 97% specificity for the cytoplasm, which is improved to 100% sensitivity and 99% specificity for the nucleus. The results are discussed in terms of discrimination comparing the CH vibrational modes of nucleic acids, proteins and lipids. The potential role of the OH vibrations, considering free water and confined water, in the discrimination of cell cultures and pathological processes are also discussed.

Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases

“…Subcellular DNA (Carvalho et al, 2017) and DNA information from dehydrated cells (Panikkanvalappil et al, 2013) also provide more valid information.…”

“…Regarding nuclear recognition, the specificity was 99%. Compared to other methods, highwavenumber regions provide more information about subcellular structures to distinguish between normal, premalignant, and malignant tissues (Carvalho et al, 2015;Carvalho et al, 2017).…”

High-Wavenumber Raman Analysis

“…Santos et al investigated the effects of different optical fibers on 720 nm laser based Raman spectroscopy and demonstrated the system was capable of acquireing HW Ramang signals from sliced porce brain tissues [28]. Carvalho et al demonstrated HW Raman signals may be obtained with 532 nm laser from oral cells immersed in distilled water [29]. Barroso et al studied the difference of HW Raman signals between healthy and cancer oral tissues and found that water contents may be used as a biomarker for cancer diagnosis [30].…”

Biochemical Profiles of In Vivo Oral Mucosa by Using a Portable Raman Spectroscopy System

“…Raman spectroscopy is a non-invasive optical technique based on inelastic light scattering (Raman scattering), which changes the wavelength of the incident light depending on the structure of vibrational energy levels of tissue biomolecules such as lipids, proteins and nucleic acids [11,12,[52][53][54]. Raman spectroscopy has the ability to extract molecular-specific information of tissue constituents and their functional groups and molecular conformations based on the vibrational modes of tissue biomolecules [13,52,55].…”