One of the promising approaches for diagnosing oncohematological diseases is infrared spectroscopy of blood serum. In this work secondary structure of blood serum proteins of patients with multiple myeloma, chronic lymphocytic leukemia and healthy donors was studied using IR spectroscopy. As a result of the study, it was found that the secondary structure of blood serum proteins in patients with chronic lymphocytic leukemia does not change in comparison with healthy donors. In contrast, patients with multiple myeloma have significant differences in the secondary structure composition of serum proteins compared to healthy donors. We conclude, that IR spectroscopy makes it possible to distinguish serum of healthy donors and patients with multiple myeloma, leading to the potential applicability of this approach to the diagnosis of multiple myeloma.
Infrared spectroscopy of biomolecules is one of the few methods, which combine a relatively simple measurements and a possibility of highly informative structural analysis. The most high-demand field of such investigations is the identification of various pathologies accompanied by changes in the biomolecular structure. In this study the comparative analysis of the secondary structure of blood serum proteins from patients with multiple myeloma and healthy donors was performed using infrared spectroscopy. There is a tendency for reduce the proportion of α-helices in the secondary structure of blood serum proteins in patients with multiple myeloma compared to healthy donors. Thus, infrared spectroscopy reveals difference in the secondary structure of blood serum proteins in patients with multiple myeloma and healthy donors.
Multiple myeloma (MM) is a serious disease that is difficult to diagnose especially at early stage. Infrared spectroscopy is a promising approach for diagnosing MM. The principal component analysis (PCA) allows us to reduce the dimension of the data and keep only the important variables. In this study, we apply principal components analysis to infrared (IR) spectra of blood serum from healthy donors and multiple myeloma patients. As a result of the analysis by PCA, it was possible to visualize the separation of patient’s and donor’s samples into two clusters. The result indicates that this method is potentially applicable for diagnosis of multiple myeloma.
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