Relationship between amide ratio assessed by Fourier-transform infrared spectroscopy: A biomarker candidate for polycythemia vera disease.
Autor: | Guleken Z; Faculty of Medicine, Department of Physiology, Gaziantep University of Islam Science and Technology, Gaziantep, Turkey., Aday A; Faculty of Medicine, Department of Internal Medicine, Division of Medical Genetics, Istanbul University, Istanbul, Turkey., Bayrak AG; Faculty of Medicine, Department of Internal Medicine, Division of Medical Genetics, Istanbul University, Istanbul, Turkey., Hindilerden İY; Department of Internal Medicine, Division of Hematology, Istanbul University Istanbul Faculty of Medicine, Istanbul, Turkey., Nalçacı M; Department of Internal Medicine, Division of Hematology, Istanbul University Istanbul Faculty of Medicine, Istanbul, Turkey., Cebulski J; Institute of Physics, University of Rzeszow, Rzeszow, Poland., Depciuch J; Institute of Nuclear Physics, Krakow, Poland.; Department of Biochemistry and Molecular Biology, Medical University of Lublin, Lublin, Poland. |
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Jazyk: | angličtina |
Zdroj: | Journal of biophotonics [J Biophotonics] 2024 Sep; Vol. 17 (9), pp. e202400162. Date of Electronic Publication: 2024 Jul 08. |
DOI: | 10.1002/jbio.202400162 |
Abstrakt: | The study utilized Fourier transform infrared (FTIR) spectroscopy coupled with chemometrics to investigate protein composition and structural changes in the blood serum of patients with polycythemia vera (PV). Principal component analysis (PCA) revealed distinct biochemical properties, highlighting elevated absorbance of phospholipids, amides, and lipids in PV patients compared to healthy controls. Ratios of amide I/amide II and amide I/amide III indicated alterations in protein structures. Support vector machine analysis and receiver operating characteristic curves identified amide I as a crucial predictor of PV, achieving 100% accuracy, sensitivity, and specificity, while amide III showed a lower predictive value (70%). PCA analysis demonstrated effective differentiation between PV patients and controls, with key wavenumbers including amide II, amide I, and CH lipid vibrations. These findings underscore the potential of FTIR spectroscopy for diagnosing and monitoring PV. (© 2024 The Author(s). Journal of Biophotonics published by Wiley-VCH GmbH.) |
Databáze: | MEDLINE |
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