Abstract
Polycystic ovary syndrome (PCOS) is a multi-factorial heterogeneous syndrome that affects many women of reproductive age. This work demonstrates how the surface-enhanced Raman scattering (SERS) technique can be used to differentiate between PCOS and non-PCOS patients. We determine that the use of SERS, in conjunction with partial least squares (PLS) and principal component analysis (PCA), allows us to detect PCOS in patient samples. Although the role of chemerin in the pathogenesis of PCOS patients is not clear, this work enables us to measure their chemerin levels using the PLS regression method.
Highlights
Polycystic ovary syndrome (PCOS) is common cause of infertility among women during their reproductive age [1]
This section investigates if surface-enhanced Raman scattering (SERS) in conjunction with principal component analysis (PCA) can be used to differentiate between PCOS and non-PCOS patients
We have demonstrated that using SERS in conjunction with PCA is a fast and accurate method to detect PCOS
Summary
Polycystic ovary syndrome (PCOS) is common cause of infertility among women during their reproductive age [1]. Following the Rotterdam Criteria [2], the presence of at least two characteristics from the following three are required to diagnose PCOS: 1) Oligo and/or anovulation, 2) clinical and/or biochemical signs of hyperandrogenism (e.g. non-classic congenital adrenal hyperplasia, hyperthyroidism, idiopathic hirsutism, familial hirsutism, Cushing’s syndrome, androgen secretion) and 3) polycystic ovaries (e.g. cysts, ovarian hyperthecosis, stromal hyperthecosis). Other characteristics such as hyperprolactinemia can be present [3]. We evaluate the possible association of chemerin concentration with PCOS by using PCA and spectral analysis of follicular fluid from PCOS and non-PCOS subjects
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