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J Steroid Biochem Mol Biol. 2019 Feb;186:176-184. doi: 10.1016/j.jsbmb.2018.10.012. Epub 2018 Oct 27.

Identification of the metabolic fingerprints in women with polycystic ovary syndrome using the multiplatform metabolomics technique.

Author information

1
Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland.
2
Department of Clinical and Experimental Endocrinology, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland.
3
Gynecological Outpatient Practice, Parkowa 6, 81-549 Gdynia, Poland.
4
Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland. Electronic address: markusz@gumed.edu.pl.

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.

KEYWORDS:

GC-EI-QqQ/MS; HPLC-ESI-TOF/MS; Hyperandrogenism; Insulin resistance; Metabolites; Metabolomics; Polycystic ovary syndrome (PCOS)

PMID:
30670174
DOI:
10.1016/j.jsbmb.2018.10.012
[Indexed for MEDLINE]

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