Identification of polycystic ovary syndrome from blood serum using hormone levels via Raman spectroscopy and multivariate analysis

Polycystic ovarian syndrome (PCOS) is a disease, which causes infertility in women. The factors for the development of the disease are still not well understood and diagnostic methods need to be improved. Therefore, in this study, Raman spectroscopy as a potential diagnostic tool, was investigated and spectra of blood serum were collected from PCOS and healthy women. The obtained spectra showed distinct changes in intensities as well as shift of peaks for the blood serum collected from PCOS compared to healthy individuals. Partial Last Square (PLS) analysis and Principal Component Analysis (PCA) allowed to determine that Raman shifts of amides (1500 - 1700 cm(-1)) and CH2, CH3 lipid groups (2700 - 3000 cm(-1)), could be thus used as potential PCOS markers. Furthermore, the Pearson correlation test showed a strong correlation between hormones (lutropin (LH), prolactin (PRL), follicle-stimulating (FSH), dehydroepiandrosterone (DHEAS), thyroid-stimulating (TSH), Estradiol) and lipids, as well as between hormones and protein functional groups in PCOS women, compared to the control. These results show, that the lipid and protein balance could be potentially applied as a helpful PCOS marker in Raman spectra. (C) 2022 Elsevier B.V. All rights reserved.

Automated summary

This study investigated the potential diagnostic tool of Raman spectroscopy for polycystic ovarian syndrome (PCOS) and found that Raman shifts of amides and CH2, CH3 lipid groups could be potential PCOS markers. The study also revealed a strong correlation between hormones and lipids, as well as between hormones and protein functional groups in PCOS women. These findings provide new insights into the diagnosis and treatment of PCOS.