Developing Raman spectroscopy as a diagnostic tool for label‐free antigen detection. Issue 2 (7th August 2017)

• Record Type: Journal Article
• Authors: Lewis, Aaran T.; Gaifulina, Riana; Guppy, Naomi J; Isabelle, Martin; Dorney, Jennifer; Lloyd, Gavin R.; Rodriguez‐Justo, Manuel; Kendall, Catherine; Stone, Nicholas; Thomas, Geraint M.
• Is Part Of: Journal of biophotonics. Volume 11:Issue 2(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-08-07
• Subjects: classification -- diagnosis -- immunohistochemistry -- Raman spectroscopy -- tissue; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.201700028
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract : For several decades, a multitude of studies have documented the ability of Raman spectroscopy (RS) to differentiate between tissue types and identify pathological changes to tissues in a range of diseases. Furthermore, spectroscopists have illustrated that the technique is capable of detecting disease‐specific alterations to tissue before morphological changes become apparent to the pathologist. This study draws comparisons between the information that is obtainable using RS alongside immunohistochemistry (IHC), since histological examination is the current GOLD standard for diagnosing a wide range of diseases. Here, Raman spectral maps were generated using formalin‐fixed, paraffin‐embedded colonic tissue sections from healthy patients and spectral signatures from principal components analysis (PCA) were compared with several IHC markers to confirm the validity of their localizations. PCA loadings identified a number of signatures that could be assigned to muscle, DNA and mucin glycoproteins and their distributions were confirmed with antibodies raised against anti‐Desmin, anti‐Ki67 and anti‐MUC2, respectively. The comparison confirms that there is excellent correlation between RS and the IHC markers used, demonstrating that the technique is capable of detecting compositional changes in tissue in a label‐free manner, eliminating the need for antibodies. Abstract : Histopathology is the current GOLD standard for evaluating tissue morphology and diagnosing a multitude of diseases. However, lengthy tissue processing times and costly antibodies are required for histological assessment. Here, comparing Raman mapping against a panel of clinically‐relevant antibodies demonstrates that Raman spectroscopy is capable of detecting the same morphological regions in human colon. Results indicate that the technique can be used to supplement histological assessment of resected tissues.