Identification of the metabolic fingerprints in women with polycystic ovary syndrome using the multiplatform metabolomics technique. Issue 186 (February 2019)

• Record Type: Journal Article
• Authors: Buszewska-Forajta, Magdalena; Rachoń, Dominik; Stefaniak, Anna; Wawrzyniak, Renata; Konieczna, Aleksandra; Kowalewska, Agnieszka; Markuszewski, Michał Jan
• Is Part Of: Journal of steroid biochemistry and molecular biology. Issue 186(2019)
• Page Start: 176
• Page End: 184
• Publication Date: 2019-02
• Subjects: Polycystic ovary syndrome (PCOS) -- Metabolomics -- Metabolites -- Hyperandrogenism -- Insulin resistance -- HPLC-ESI-TOF/MS -- GC-EI-QqQ/MS; Steroid hormones -- Periodicals; Biochemistry -- Periodicals; Hormones -- Periodicals; Molecular Biology -- Periodicals; Hormones stéroïdes -- Périodiques; Steroid hormones; Periodicals; 572.579
• DOI: 10.1016/j.jsbmb.2018.10.012
• Languages: English
• ISSNs: 0960-0760

Abstract

Graphical abstract: Highlights: Serum untargeted metabolomics with the use of two complementary techniques, GC-MS and LC-MS in PCOS was performed. Women with PCOS are characterised by disorders in amino acid, carbohydrate, steroid hormone, lipid and purine metabolism. Increased levels of phospholipids, aromatic amino acids, organic acids, hormones and sphinganine were observed. Decreased level of cholesterol was determined in case of PCOS disease. Cholesterol, phenylalanine and dehydroepiandrosterone sulfate, uric and lactic acids have the best discriminative power. Abstract: In addition to chronic anovulation and clinical signs of hyperandrogenism women with polycystic ovary syndrome (PCOS) are insulin resistant and therefore, develop central obesity with its long term consequences such as dyslipidaemia, hypertension, atherosclerosis and type 2 diabetes mellitus (T2DM), which all lead to the development of cardiovascular disease (CVD). Due to the polysymptomatic nature of this syndrome and lack of consensus on its diagnostic criteria there is a strong need of finding a reliable biochemical or molecular marker, which would facilitate making the accurate diagnosis of PCOS. Therefore, the aim of our study was to perform a metabolomics analysis with the use of two complementary techniques: gas chromatography and liquid chromatography coupled with mass spectrometry, of the serum samples from women with PCOS (n = 30) and to compare them with healthy age and BMI matched controls (n = 30). Obtained results were subjected to one-dimensional statistical analysis (student's t -test or its non-parametric equivalent U Mann-Whitney test) and multivariate statistical analysis (the principal component analysis [PCA], variable importance into projection [VIP] and selectivity ratio [SR]). The results of our study showed that women with PCOS are characterised by metabolic disorders of the amino acids, carbohydrates, steroid hormones, lipids and purines. Compared to control subjects, women with PCOS had increased serum levels of phospholipids, aromatic amino acids, organic acids, hormones and sphinganine and decreased total cholesterol. Among the identified compounds, total cholesterol, phenylalanine and dehydroepiandrosterone sulfate, uric and lactic acid were the compounds with the strongest discriminating power.