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Salivary molecular spectroscopy: A sustainable, rapid and non-invasive monitoring tool for diabetes mellitus during insulin treatment

Caixeta, Douglas C ; Aguiar, Emília M G ; Cardoso-Sousa, Léia ; Coelho, Líris M D ; Oliveira, Stephanie W ; Espindola, Foued S ; Raniero, Leandro ; Crosara, Karla T B ; Baker, Matthew J ; Siqueira, Walter L ; Sabino-Silva, Robinson Fürnsinn, Clemens

PloS one, 2020-03, Vol.15 (3), p.e0223461-e0223461 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Salivary molecular spectroscopy: A sustainable, rapid and non-invasive monitoring tool for diabetes mellitus during insulin treatment
Autor: Caixeta, Douglas C ; Aguiar, Emília M G ; Cardoso-Sousa, Léia ; Coelho, Líris M D ; Oliveira, Stephanie W ; Espindola, Foued S ; Raniero, Leandro ; Crosara, Karla T B ; Baker, Matthew J ; Siqueira, Walter L ; Sabino-Silva, Robinson
Fürnsinn, Clemens
Assuntos: Animals ; Biochemistry ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Blood glucose ; Blood glucose tests ; Blood sugar ; Blood sugar monitoring ; Clean technology ; Correlation analysis ; Cost-Benefit Analysis ; Data Accuracy ; Dentistry ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus, Experimental - chemically induced ; Diabetes Mellitus, Experimental - drug therapy ; Diabetes therapy ; Diagnosis ; Diagnostic systems ; Discriminant Analysis ; Diseases ; Fourier analysis ; Fourier transforms ; Glucose ; Glucose - analysis ; Glucose monitoring ; Green technology ; Hyperglycemia ; Hypoglycemic agents ; Infrared spectroscopy ; Insulin ; Insulins - therapeutic use ; Male ; Medicine and Health Sciences ; Metabolic disorders ; Molecular spectroscopy ; Monitoring ; Monitoring, Physiologic - methods ; Multivariate analysis ; Novels ; Patient monitoring equipment ; Physical Sciences ; Physiology ; Principal Component Analysis ; Proteins ; Rats ; Rats, Wistar ; Reagents ; Reflectance ; Research and Analysis Methods ; Robustness ; ROC Curve ; Saliva ; Saliva - chemistry ; Sensitivity and Specificity ; Spectra ; Spectral bands ; Spectroscopy ; Spectroscopy, Fourier Transform Infrared - methods ; Spectrum analysis ; Streptozocin - pharmacology ; Technology ; Type 2 diabetes ; Urine
É parte de: PloS one, 2020-03, Vol.15 (3), p.e0223461-e0223461
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Competing Interests: No competing interests.
Descrição: Monitoring of blood glucose is an invasive, painful and costly practice in diabetes. Consequently, the search for a more cost-effective (reagent-free), non-invasive and specific diabetes monitoring method is of great interest. Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy has been used in diagnosis of several diseases, however, applications in the monitoring of diabetic treatment are just beginning to emerge. Here, we used ATR-FTIR spectroscopy to evaluate saliva of non-diabetic (ND), diabetic (D) and insulin-treated diabetic (D+I) rats to identify potential salivary biomarkers related to glucose monitoring. The spectrum of saliva of ND, D and D+I rats displayed several unique vibrational modes and from these, two vibrational modes were pre-validated as potential diagnostic biomarkers by ROC curve analysis with significant correlation with glycemia. Compared to the ND and D+I rats, classification of D rats was achieved with a sensitivity of 100%, and an average specificity of 93.33% and 100% using bands 1452 cm-1 and 836 cm-1, respectively. Moreover, 1452 cm-1 and 836 cm-1 spectral bands proved to be robust spectral biomarkers and highly correlated with glycemia (R2 of 0.801 and 0.788, P < 0.01, respectively). Both PCA-LDA and HCA classifications achieved an accuracy of 95.2%. Spectral salivary biomarkers discovered using univariate and multivariate analysis may provide a novel robust alternative for diabetes monitoring using a non-invasive and green technology.
Editor: United States: Public Library of Science
Idioma: Inglês

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Salivary molecular spectroscopy: A sustainable, rapid and non-invasive monitoring tool for diabetes mellitus during insulin treatment

Caixeta, Douglas C ; Aguiar, Emília M G ; Cardoso-Sousa, Léia ; Coelho, Líris M D ; Oliveira, Stephanie W ; Espindola, Foued S ; Raniero, Leandro ; Crosara, Karla T B ; Baker, Matthew J ; Siqueira, Walter L ; Sabino-Silva, Robinson Fürnsinn, Clemens

United States: Public Library of Science

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