Literature DB >> 34274594

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.

Zozan Guleken1, Huri Bulut2, Berk Bulut3, Joanna Depciuch4.   

Abstract

Polycystic 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 proteins in the blood serum plays important role in the treatment of these disease. Herein, to investigate the metabolic process and the variations of biomacromolecules and lipids between young PCOS women and healthy subjects, biochemistry and Fourier Transform InfraRed spectroscopy (FTIR) methods, were used. Moreover, partial least squares regression (PLS) and Principal component analysis (PCA) to research differentiation of biomacromolecules, were performed. We obtained blood serum of of 100 individuals including 57 with PCOS and 43 healthy controls. The biochemical blood profile of PCOS women was presented by spectroscopic measurements, which is an analytical technique, as well as by laboratory indexes and oxidative stress status measurements. There was a significant structural differentiation between studied groups in the number of functional groups and biomolecules differentiation depending on the protein expression and oxidative stress status. Hence, FTIR spectroscopy and oxidative load can be effectively utilized as tools for classifying quantitative and qualitative changes of biomolecules in PCOS samples. PCOS samples did not correlate with luteinizing hormone (LH) level and proteins but had a negative correlation between carbohydrates and fatty acids, compared with control group.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Endocrine abnormality; Fourier Transform InfraRed spectroscopy; Metabolism; Oxidative load; Partial least squares regression; Polycystic ovary syndrome

Year:  2021        PMID: 34274594     DOI: 10.1016/j.jpba.2021.114250

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  2 in total

1.  Blood serum lipid profiling may improve the management of recurrent miscarriage: a combination of machine learning of mid-infrared spectra and biochemical assays.

Authors:  Zozan Guleken; Pınar Yalçın Bahat; Ömer Faruk Toto; Huri Bulut; Paweł Jakubczyk; Jozef Cebulski; Wiesław Paja; Krzysztof Pancerz; Agnieszka Wosiak; Joanna Depciuch
Journal:  Anal Bioanal Chem       Date:  2022-10-13       Impact factor: 4.478

2.  Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome.

Authors:  Małgorzata Kałużna; Magdalena Czlapka-Matyasik; Pola Kompf; Jerzy Moczko; Katarzyna Wachowiak-Ochmańska; Adam Janicki; Karolina Samarzewska; Marek Ruchała; Katarzyna Ziemnicka
Journal:  Ther Adv Endocrinol Metab       Date:  2022-01-10       Impact factor: 3.565

  2 in total

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