Raman spectroscopy of urinary extracellular vesicles to stratify patients with chronic kidney disease in type 2 diabetes


Posted: 2021-10-07 19:00:00
Nanomedicine . 2021 Oct 4;102468. doi: 10.1016/j.nano.2021.102468. Online ahead of print. Affiliations Expand Affiliations 1 Department of Medical Physics, M. Smoluchowski Institute of Physics, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, 30-348 Kraków, Poland. 2 Institute of Nuclear Physics, Polish Academy of Sciences, 31-342 Kraków, Poland. 3 Department of Internal Medicine, Nephrology and Endocrinology, St. Queen Jadwiga Clinical District Hospital No. 2, 35-301, Rzeszów, Poland; Medical College of Rzeszow University, Institute of Medical Sciences, 35-310 Rzeszów, Poland. 4 Department of Metabolic Diseases, Jagiellonian University Medical College, 30-501 Kraków, Poland; Department of Metabolic Diseases, University Hospital, 30-688 Kraków, Poland. 5 Department of Medical Physics, M. Smoluchowski Institute of Physics, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, 30-348 Kraków, Poland. Electronic address: e.stepien@uj.edu.pl. Item in Clipboard Agnieszka Kamińska et al. Nanomedicine. 2021. Show details Display options Display options Format Nanomedicine . 2021 Oct 4;102468. doi: 10.1016/j.nano.2021.102468. Online ahead of print. Affiliations 1 Department of Medical Physics, M. Smoluchowski Institute of Physics, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, 30-348 Kraków, Poland. 2 Institute of Nuclear Physics, Polish Academy of Sciences, 31-342 Kraków, Poland. 3 Department of Internal Medicine, Nephrology and Endocrinology, St. Queen Jadwiga Clinical District Hospital No. 2, 35-301, Rzeszów, Poland; Medical College of Rzeszow University, Institute of Medical Sciences, 35-310 Rzeszów, Poland. 4 Department of Metabolic Diseases, Jagiellonian University Medical College, 30-501 Kraków, Poland; Department of Metabolic Diseases, University Hospital, 30-688 Kraków, Poland. 5 Department of Medical Physics, M. Smoluchowski Institute of Physics, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, 30-348 Kraków, Poland. Electronic address: e.stepien@uj.edu.pl. Item in Clipboard CiteDisplay options Display options Format Abstract In this study, we verified the hypothesis that Raman signature of urinary extracellular vesicles (UEVs) can be used to stratify patients with diabetes at various stages of chronic kidney disease (CKD). Patients with type 2 diabetes diagnosed with different stages of CKD and healthy subjects were enrolled in the study. UEVs were isolated using low-vacuum filtration followed by ultracentrifugation. Correlation analysis, multiple linear regression and principal component analysis were used to find differences between spectral fingerprints of UEVs derived from both groups of patients. Electron microscopy and nanoparticle tracking analysis were applied to characterize the size and morphology of UEVs. We observed significant correlations between selected Raman bands measured for UEVs and clinical parameters. We found significant differences in the area under the specific bands originating mainly from proteins and lipids between the study groups. Based on the tryptophan and amide III bands, we were able to predict the estimated glomerular filtration rate (eGFR). Principal component analysis and correlation analysis of the UEV Raman spectra supported the results obtained from the direct analysis of Raman spectra. Our analysis revealed that a regression model including tryptophan and amide III bands allows to estimate the value of eGFR. Keywords: Biomarkers; Chronic kidney disease; Diabetes; Extracellular vesicles; Principal component analysis; Raman spectroscopy; Urine. Copyright © 2021. Published by Elsevier Inc. [x] Cite Copy Format: Send To [x]

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