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, cilt.204, 2021 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 204
- Basım Tarihi: 2021
- Doi Numarası: 10.1016/j.jpba.2021.114250
- Dergi Adı: Journal of Pharmaceutical and Biomedical Analysis
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Analytical Abstracts, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Chimica, EMBASE, International Pharmaceutical Abstracts, MEDLINE, Veterinary Science Database
- Anahtar Kelimeler: Polycystic ovary syndrome, Endocrine abnormality, Oxidative load, Metabolism, Fourier Transform InfraRed spectroscopy, Partial least squares regression
- Sağlık Bilimleri Üniversitesi Adresli: Hayır
Özet
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.