Clinical applications of raman spectroscopy in inflammatory bowel diseases: a review

2018 ◽  
Vol 27 (4) ◽  
pp. 433-438
Author(s):  
Cristian Tefas ◽  
Marcel Tanțău

Background & Aims: Inflammatory bowel diseases are still difficult to diagnose and differentiate in some cases despite the serological, imaging, endoscopic and histopathological armamentarium. Raman spectroscopy is a technique that could help with these shortcomings. The aim of this paper is to present the accuracy of Raman spectroscopy in the diagnosis and monitoring of patients with inflammatory bowel diseases.Methods: We identified the published manuscripts and abstracts up to the 31st of December 2017 by a systematic search of Medline, Embase, Cochrane and other trial registries.Results: Eight publications were found, showing sensitivities and specificities of Raman spectroscopy in diagnosing and differentiating inflammatory bowel diseases ranging from 82 to 99% and 57 to 99%, respectively, and accuracies of up to 95%.Conclusion: The technique has so far proven its potential in the positive and differential diagnosis of Crohn’s disease or ulcerative colitis, allowing for very rapid results with high sensitivity and specificity.


2021 ◽  
Vol 15 (Supplement_1) ◽  
pp. S221-S222
Author(s):  
M Truffi ◽  
C Morasso ◽  
S Albasini ◽  
A Malovini ◽  
R Bellazzi ◽  
...  

Abstract Background Currently, a major point of concern in the management of Inflammatory Bowel Diseases (IBD) is the absence of accurate and specific circulating biomarkers able to drive diagnosis in a timely and noninvasive manner. Aim of the present study was to explore blood biomarkers of IBD by coupling the targeted detection of circulating fibroblast activation protein (FAP), a recognized valuable marker of bowel lesion in IBD, and Raman spectroscopy (RS), a quick and label-free metabolomic technique that provides a real-time biochemical characterization of plasma samples without any previously known target. Methods Blood samples were collected from over 140 patients with IBD and 170 control subjects matched for gender and age. Isolated plasma was analysed by enzyme-linked immunosorbent assay for quantitative detection of circulating form of FAP. RS was performed on dry droplets of plasma, with the aim to decipher specific fingerprint of IBD in peripheral blood. A predictive model was built on FAP and Raman data separately, to determine specificity, sensitivity and accuracy of the two approaches in patients classification. Supervised multivariate model was applied on a subset of 203 patients to discriminate IBD and control subjects based on combined datasets. Results FAP levels were reduced in patients with IBD as compared to controls (p<0.0001). The sensitivity and specificity of FAP were 70% and 84% based on the optimal cutoff (57.6 ng mL-1, AUC=0.78). Raman spectra of IBD plasma revealed significant differences in peaks corresponding to carotenoids, proteins with β-sheet secondary structure, lipids and aromatic amino-acids. A machine learning model was applied on a subset of patients reaching an accuracy of 85% in classifying IBD and control subjects. No statistically significant differences were observed so far between the discriminative performance of the sole RS or the combination of RS and FAP. Conclusion RS and FAP dosage enable new discoveries in the biological fingerprint of IBD plasma and provide novel candidate biomarkers of IBD. Our preliminary results strongly suggest that novel blood-based approaches could represent a fast noninvasive way to triage patents with suspected IBD in first care diagnostic, to be applied prior to further specific evaluation.


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