Tinne Monteyne1, Renaat Coopman1, Antoine S Kishabongo2, Jonas Himpe1, Bruno Lapauw3, Samyah Shadid3, Elisabeth H Van Aken4, Darja Berenson1, Marijn M Speeckaert5, Thomas De Beer6, Joris R Delanghe1. 1. Department of Clinical Chemistry, Ghent University Hospital, Ghent, Belgium. 2. Department of Laboratory Medicine, Catholic University of Bukavu, Bukavu, Democratic Republic of the Congo. 3. Department of Endocrinology, Ghent University Hospital, Ghent, Belgium. 4. Department of Ophthalmology, Sint-Elisabeth Ziekenhuis, Zottegem, Belgium. 5. Department of Nephrology, Ghent University Hospital, Ghent, Belgium. 6. Department of Process Analytical Technology, Ghent University, Department of Pharmaceutical Sciences, Ghent, Belgium.
Abstract
BACKGROUND: Glycated keratin allows the monitoring of average tissue glucose exposure over previous weeks. In the present study, we wanted to explore if near-infrared (NIR) spectroscopy could be used as a non-invasive diagnostic tool for assessing glycation in diabetes mellitus. METHODS: A total of 52 patients with diabetes mellitus and 107 healthy subjects were enrolled in this study. A limited number (n=21) of nails of healthy subjects were glycated in vitro with 0.278 mol/L, 0.556 mol/L and 0.833 mol/L glucose solution to study the effect of glucose on the nail spectrum. Consequently, the nail clippings of the patients were analyzed using a Thermo Fisher Antaris II Near-IR Analyzer Spectrometer and near infrared (NIR) chemical imaging. Spectral classification (patients with diabetes mellitus vs. healthy subjects) was performed using partial least square discriminant analysis (PLS-DA). RESULTS: In vitro glycation resulted in peak sharpening between 4300 and 4400 cm-1 and spectral variations at 5270 cm-1 and between 6600 and 7500 cm-1. Similar regions encountered spectral deviations during analysis of the patients' nails. Optimization of the spectral collection parameters was necessary in order to distinguish a large dataset. Spectra had to be collected at 16 cm-1, 128 scans, region 4000-7500 cm-1. Using standard normal variate, Savitsky-Golay smoothing (7 points) and first derivative preprocessing allowed for the prediction of the test set with 100% correct assignments utilizing a PLS-DA model. CONCLUSIONS: Analysis of protein glycation in human fingernail clippings with NIR spectroscopy could be an alternative affordable technique for the diagnosis of diabetes mellitus.
BACKGROUND: Glycated keratin allows the monitoring of average tissue glucose exposure over previous weeks. In the present study, we wanted to explore if near-infrared (NIR) spectroscopy could be used as a non-invasive diagnostic tool for assessing glycation in diabetes mellitus. METHODS: A total of 52 patients with diabetes mellitus and 107 healthy subjects were enrolled in this study. A limited number (n=21) of nails of healthy subjects were glycated in vitro with 0.278 mol/L, 0.556 mol/L and 0.833 mol/L glucose solution to study the effect of glucose on the nail spectrum. Consequently, the nail clippings of the patients were analyzed using a Thermo Fisher Antaris II Near-IR Analyzer Spectrometer and near infrared (NIR) chemical imaging. Spectral classification (patients with diabetes mellitus vs. healthy subjects) was performed using partial least square discriminant analysis (PLS-DA). RESULTS: In vitro glycation resulted in peak sharpening between 4300 and 4400 cm-1 and spectral variations at 5270 cm-1 and between 6600 and 7500 cm-1. Similar regions encountered spectral deviations during analysis of the patients' nails. Optimization of the spectral collection parameters was necessary in order to distinguish a large dataset. Spectra had to be collected at 16 cm-1, 128 scans, region 4000-7500 cm-1. Using standard normal variate, Savitsky-Golay smoothing (7 points) and first derivative preprocessing allowed for the prediction of the test set with 100% correct assignments utilizing a PLS-DA model. CONCLUSIONS: Analysis of protein glycation in human fingernail clippings with NIR spectroscopy could be an alternative affordable technique for the diagnosis of diabetes mellitus.
Authors: Sander De Bruyne; Jonas Himpe; Sigurd E Delanghe; Griet Glorieux; Wim Van Biesen; Marc L De Buyzere; Marijn M Speeckaert; Joris R Delanghe Journal: Toxins (Basel) Date: 2020-01-26 Impact factor: 4.546