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

dc.authoridHuri Bulut / 0000-0003-2706-9625en_US
dc.authorscopusidHuri Bulut / 57185264300
dc.authorscopusidBerk Bulut / 24465134400
dc.authorwosidHuri Bulut / AAM-1432-2020
dc.authorwosidBerk Bulut / IAE-6700-2023
dc.contributor.authorGüleken, Zozan
dc.contributor.authorBulut, Huri
dc.contributor.authorBulut, Berk
dc.contributor.authorDepciuch, Joanna
dc.date.accessioned2021-07-26T06:29:20Z
dc.date.available2021-07-26T06:29:20Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri Bölümüen_US
dc.description.abstractPolycystic 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.en_US
dc.identifier.citationGuleken, 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.2021.114250en_US
dc.identifier.doi10.1016/j.jpba.2021.114250en_US
dc.identifier.endpage9en_US
dc.identifier.issue114250en_US
dc.identifier.pmid34274594en_US
dc.identifier.scopus2-s2.0-85110323024en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1016/j.jpba.2021.114250
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1928
dc.identifier.volume204en_US
dc.identifier.wosWOS:000686903700020en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorBulut, Huri
dc.institutionauthorBulut, Berk
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Pharmaceutical and Biomedical Analysisen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPolycystic Ovary Syndromeen_US
dc.subjectEndocrine Abnormalityen_US
dc.subjectOxidative Loaden_US
dc.subjectMetabolismen_US
dc.subjectFourier Transform Infraen_US
dc.subjectRed Spectroscopyen_US
dc.subjectPartial Least Squares Regressionen_US
dc.titleAssessment 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 womenen_US
dc.typeArticleen_US

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