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Surface-enhanced raman spectroscopy: A non invasive alternative procedure for early detection in childhood asthma biomarkers in saliva
•This study identified biomarkers of bronchial inflammation in the saliva of infants with asthma by immunoassay and SERS.•IL-8, IL10 and sCD163 are potential biomarkers of bronchial inflammation suggestive of remodeling.•The bands in 760, 1127, 1231, 1326, 1456, 1750 cm−1 of the Raman spectra provid...
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Published in: | Photodiagnosis and photodynamic therapy 2019-09, Vol.27, p.85-91 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •This study identified biomarkers of bronchial inflammation in the saliva of infants with asthma by immunoassay and SERS.•IL-8, IL10 and sCD163 are potential biomarkers of bronchial inflammation suggestive of remodeling.•The bands in 760, 1127, 1231, 1326, 1456, 1750 cm−1 of the Raman spectra provide high sensitivity for the potential diagnosis of asthma.•SERS is a useful tool for the identification of the inflammatory endotype in asthma.
The early detection of bronchial inflammation in asthma, through a non-invasive, simple method and under a subclinical state, could lead to a more effective control of this condition. The aim of this study was to identify biomarkers of bronchial inflammation in the saliva of children with asthma through immunoassay and Surface Enhanced Raman Spectroscopy (SERS). We conducted an analytical cross-sectional study in 44 children ages 6–12; the diagnosis of asthma was made according to Global Initiative for Asthma (GINA) standards. The children’s saliva was analyzed by immunoassay for the quantification of 37 cytokines, as well as SERS analysis in a confocal Raman microscope at 785 nm. We found a significant association between bronchial obstruction and IL-8 (p = 0.004), IL-10 (p = 0.008) and sCD163 (p = 0.003). The Raman spectra showed significant amplification in the region of 760 to 1750 cm−1. The Principal Component Analysis and Linear Discriminant Analysis (PCA-LDA) method has a sensitivity of 85%, specificity of 82% and an accuracy of 84% for the diagnosis of asthma. These results demonstrate the presence of a subclinical inflammatory state, suggestive of bronchial remodeling in the population studied. The SERS method is a potential tool for identifying bronchial inflammation and its endotype, allowing for a highly sensitive and specific diagnosis. |
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ISSN: | 1572-1000 1873-1597 |
DOI: | 10.1016/j.pdpdt.2019.05.009 |