Raman Spectroscopy Technique: A Non-Invasive Tool in Celiac Disease Diagnosis

被引:10
作者
Acri, Giuseppe [1 ]
Romano, Claudio [2 ]
Costa, Stefano [2 ]
Pellegrino, Salvatore [2 ]
Testagrossa, Barbara [1 ]
机构
[1] Univ Messina, Dipartimento Sci Biomed Odontoiatr & Immagini Mor, I-98125 Messina, Italy
[2] Osped Univ Policlin G Martino, Unita Operat Semplice Dipartimentale Gastroentero, Via Consolare Valeria, I-98125 Messina, Italy
关键词
Celiac disease (CD); Raman spectroscopy; non-invasive methodology; ROC curves; CHARACTERISTIC ROC CURVE; IN-VIVO; YOUDEN INDEX; AMINO-ACIDS; TRANSGLUTAMINASE; DISCRIMINATION; IDENTIFICATION; CELLS; RISK;
D O I
10.3390/diagnostics11071277
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Celiac disease (CD) is diagnosed by a combination of specific serology and typical duodenal lesions. The histological confirmation of CD, mandatory in the majority of patients with suspected CD, is based on invasive and poorly tolerated procedures, such as upper gastrointestinal endoscopy. In this study we propose an alternative and non-invasive methodology able to confirm the diagnosis of CD based on the analysis of serum samples using the Raman spectroscopy technique. Three different bands centered at 1650, 1450 and 1003 cm(-1) have been considered and the A(1450)/A(1003) and A(1650)/A(1003) ratios have been computed to discriminate between CD and non-CD subjects. The reliability of the methodology was validated by statistical analysis using receiver operating characteristic (ROC) curves. The Youden index was also determined to obtain optimal cut-off points. The obtained results highlighted that the proposed methodology was able to distinguish between CD and non-CD subjects with 98% accuracy. The optimal cut-off points revealed, for both the A(1450)/A(1003) and A(1650)/A(1003) ratios, high values of sensitivity and specificity (>95.0% and >92.0% respectively), confirming that Raman spectroscopy may be considered a valid alternative to duodenal biopsy and demonstrates spectral changes in the secondary structures of the protein network.
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页数:12
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