Clinical Applications of Raman Spectroscopy in Inflammatory Bowel Diseases. A Review

Tefas, Cristian; Tanţău, Marcel

doi:10.15403/jgld.2014.1121.274.app

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…It has been shown to distinguish tissue [ 25 ] and plasma samples [ 26 ] from IBD and healthy controls, Crohn’s disease from ulcerative colitis [ 27 , 28 ], as well as active inflammation from mucosal healing based on varying profiles in lipids, phosphatidylcholines, myoglobin, and carotenoids [ 29 , 30 , 31 ]. Fibreoptic Raman probes have also been developed with the potential for application in point-of-care endoscopy, as the spectra acquired are not obscured by the presence of water in the colon [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Fourier-Transform Infra-Red Microspectroscopy Can Accurately Diagnose Colitis and Assess Severity of Inflammation

Keung

Heraud

Kuk

et al. 2022

IJMS

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The diagnosis and management of inflammatory bowel disease relies on histological assessment, which is costly, subjective, and lacks utility for point-of-care diagnosis. Fourier-transform infra-red spectroscopy provides rapid, non-destructive, reproducible, and automatable label-free biochemical imaging of tissue for diagnostic purposes. This study characterises colitis using spectroscopy, discriminates colitis from healthy tissue, and classifies inflammation severity. Hyperspectral images were obtained from fixed intestinal sections of a murine colitis model treated with cell therapy to improve inflammation. Multivariate analyses and classification modelling were performed using supervised and unsupervised machine-learning algorithms. Quantitative analysis of severe colitis showed increased protein, collagen, and nucleic acids, but reduced glycogen when compared with normal tissue. A partial least squares discriminant analysis model, including spectra from all intestinal layers, classified normal colon and severe colitis with a sensitivity of 91.4% and a specificity of 93.3%. Colitis severity was classified by a stacked ensemble model yielding an average area under the receiver operating characteristic curve of 0.95, 0.88, 0.79, and 0.85 for controls, mild, moderate, and severe colitis, respectively. Infra-red spectroscopy can detect unique biochemical features of intestinal inflammation and accurately classify normal and inflamed tissue and quantify the severity of inflammation. This is a promising alternative to histological assessment.

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Section: Discussionmentioning

confidence: 99%

Fourier-Transform Infra-Red Microspectroscopy Can Accurately Diagnose Colitis and Assess Severity of Inflammation

Keung

Heraud

Kuk

et al. 2022

IJMS

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“…While brief, in this section we have captured key findings where RS was used in IBD patient samples to highlight the clinical significance of RS in GI disorders. Readers are also encouraged to explore more in-depth reviews focused on RS in IBDs …”

Section: Label-free Raman Spectroscopy For Metabolic Profilingmentioning

confidence: 99%

“…Readers are also encouraged to explore more in-depth reviews focused on RS in IBDs. 173 In addition to IBDs, RS has also been applied to cardiac disorders for diagnosis of atherosclerosis in vivo, characterization of the atherosclerotic plaque, evaluation of aortic aneurysm, and calcific aortic stenosis. Here we will give a glimpse of some of the key studies where RS has been applied to patient samples and discuss the versatility of RS in cardiovascular diseases.…”

Section: Metabolism In Other Diseasesmentioning

confidence: 99%

The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine

Cutshaw,

Uthaman,

Hassan

et al. 2023

Chem. Rev.

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Omics technologies have rapidly evolved with the unprecedented potential to shape precision medicine. Novel omics approaches are imperative toallow rapid and accurate data collection and integration with clinical information and enable a new era of healthcare. In this comprehensive review, we highlight the utility of Raman spectroscopy (RS) as an emerging omics technology for clinically relevant applications using clinically significant samples and models. We discuss the use of RS both as a label-free approach for probing the intrinsic metabolites of biological materials, and as a labeled approach where signal from Raman reporters conjugated to nanoparticles (NPs) serve as an indirect measure for tracking protein biomarkers in vivo and for high throughout proteomics. We summarize the use of machine learning algorithms for processing RS data to allow accurate detection and evaluation of treatment response specifically focusing on cancer, cardiac, gastrointestinal, and neurodegenerative diseases. We also highlight the integration of RS with established omics approaches for holistic diagnostic information. Further, we elaborate on metal-free NPs that leverage the biological Raman-silent region overcoming the challenges of traditional metal NPs. We conclude the review with an outlook on future directions that will ultimately allow the adaptation of RS as a clinical approach and revolutionize precision medicine.

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In vivo optical molecular imaging of inflammation and immunity

et al. 2021

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Clinical Applications of Raman Spectroscopy in Inflammatory Bowel Diseases. A Review

Cited by 5 publications

References 11 publications

Fourier-Transform Infra-Red Microspectroscopy Can Accurately Diagnose Colitis and Assess Severity of Inflammation

Fourier-Transform Infra-Red Microspectroscopy Can Accurately Diagnose Colitis and Assess Severity of Inflammation

The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine

In vivo optical molecular imaging of inflammation and immunity

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