Güleken, ZozanBulut, HuriBulut, BerkDepciuch, Joanna2021-07-262021-07-262021Guleken, Z., Bulut, H., Bulut, B., & Depciuch, J. (2021). Assessment of the effect of endocrine abnormalities on biomacromolecules and lipids by FT-IR and biochemical assays as biomarker of metabolites in early Polycystic ovary syndrome women. Journal of pharmaceutical and biomedical analysis, 204, 114250. Advance online publication. https://doi.org/10.1016/j.jpba.2021.114250https://doi.org/10.1016/j.jpba.2021.114250https://hdl.handle.net/20.500.12713/1928Polycystic ovary syndrome (PCOS) is a common endocrinopathy associated with metabolic disturbances.Both in the development and improvement of the disease, the structure of phospholipids and proteinsin the blood serum plays important role in the treatment of these disease. Herein, to investigate themetabolic process and the variations of biomacromolecules and lipids between young PCOS women andhealthy subjects, biochemistry and Fourier Transform InfraRed spectroscopy (FTIR) methods, were used.Moreover, partial least squares regression (PLS) and Principal component analysis (PCA) to researchdifferentiation of biomacromolecules, were performed. We obtained blood serum of of 100 individ-uals including 57 with PCOS and 43 healthy controls. The biochemical blood profile of PCOS womenwas presented by spectroscopic measurements, which is an analytical technique, as well as by labora-tory indexes and oxidative stress status measurements. There was a significant structural differentiationbetween studied groups in the number of functional groups and biomolecules differentiation dependingon the protein expression and oxidative stress status. Hence, FTIR spectroscopy and oxidative load can beeffectively utilized as tools for classifying quantitative and qualitative changes of biomolecules in PCOSsamples. PCOS samples did not correlate with luteinizing hormone (LH) level and proteins but had anegative correlation between carbohydrates and fatty acids, compared with control group.eninfo:eu-repo/semantics/closedAccessPolycystic Ovary SyndromeEndocrine AbnormalityOxidative LoadMetabolismFourier Transform InfraRed SpectroscopyPartial Least Squares RegressionAssessment of the effect of endocrine abnormalities on biomacromolecules and lipids by FT-IR and biochemical assays as biomarker of metabolites in early Polycystic ovary syndrome womenArticle2041142501934274594WOS:0006869037000202-s2.0-85110323024Q210.1016/j.jpba.2021.114250N/A