Correlation of metabolic syndrome markers and parameters of UVA-induced skin autofluorescence in children with type 1 diabetes mellitus
Vladimir V. Salmin 1, Margarita V Proskurina 2, Yuriy A. Chernomorets 2, Anastasia V. Kulgaeva 2, Tatyana E. Taranushenko 2, Alla B. Salmina 2,3
1 National Research Nuclear University MEPHI, Moscow, Russia
2 Krasnoyarsk State Medical University, Krasnoyarsk, Russia
3 Research Center of Neurology, Moscow, Russia
Abstract
The study focuses on the assessment of UVA-induced skin autofluorescence spectra in children aged 5-18 years with type 1 diabetes mellitus (n=50). The following clinical and biochemical parameters have been taken into consideration: age, gender, disease duration, skin phototype, glycated hemoglobin, creatinine, triglycerides, and cholesterol levels in the peripheral blood, urine microalbumin levels. Autofluorescence spectra were recorded with the original compact spectrofluorimeter based on the STS-VIS OCEAN OPTICS © USA microspectrometer, with UVA excitation produced by the LED (365 nm). The recording time of the spectra was 30 s. The autofluorescence spectra of the skin of the inner side of the forearm after normalization to the reflection signal in the second order of diffraction and smoothing with a Gaussian filter with a half-width of 10 nm have been analyzed in the range of 400–670 nm. Significant correlations between clinical and biochemical parameters were found. Factor analysis revealed two factors with significant dependence: i) on age, creatinine; ii) on glycated hemoglobin, cholesterol. Reference wavelengths have been established where autofluorescence intensity demonstrated maximum correlation with clinical and biochemical parameters, as well as with the above-mentioned factors. Using the methods of multivariate nonlinear regression analysis, statistical models have been established that make it possible to determine the biochemical pattern of the metabolic syndrome with high accuracy by means of the assessment of autofluorescence parameters only. Higher correlation was shown with the parameters of factor analysis compared to individual biochemical parameters. This finding allows us to suggest assessing the severity of the course of the disease by the values of a smaller number of factor analysis factors compared with some biochemical and clinical parameters determined on the basis of skin autofluorescence.
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Vladimir V. Salmin
National Research Nuclear University MEPHI, Moscow
Russia
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