Diagnosis of endometriosis using endometrioma volume and vibrational spectroscopy with multivariate methods as a noninvasive method

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Küçük Resim

Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier Science

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Endometriomas are typically an advanced form of endometriosis that leads to the formation of scar tissue, adhesions, and an inflammatory reaction. There is no certain serum marker for the diagnosis of endometriosis. This study aims to research the correlation between the amount of peaks corresponding to proteins and lipids with the volume of endometrioma and determine the chemical structure of blood serum collected from women suffering from endometriosis patients with endometrioma and healthy subjects using Fourier Transform Infrared (FTIR) spectroscopy. FTIR spectroscopy is used as a non-invasive diagnostic technique for the discrimination of endometriosis women with endometrioma and control blood sera. The FTIR spectra of 100 serum samples acquired from 50 patients and 50 healthy individuals were used for this study. For this purpose, multivariate analyses such as Principal Component Analysis (PCA), Partial Last Square analysis (PLS) with Variables Importance in Projection (VIP), and probability models, were performed. Our results showed that FTIR range 1500 cm-1 and 1700 cm-1 and around 2700 cm-1 - 3000 cm-1, regions may be used for the diagnosis of endometriosis. Also, we find that proteins and lipids fraction increase with the volume of endometrioma. Moreover, PLS and VIP analysis suggested that lipids could be helpful in the diagnosis of endometriosis women with endometrioma.

Açıklama

Anahtar Kelimeler

Endometrioma, FT-IR, Lipidomic, PCA, PLS, VIP

Kaynak

Spectrochimica Acta Part A: Molecular andBiomolecular Spectroscopy

WoS Q Değeri

Q1

Scopus Q Değeri

N/A

Cilt

Sayı

264

Künye

Guleken, Z., Bulut, H., Depciuch, J., & Tarhan, N. (2021). Diagnosis of endometriosis using endometrioma volume and vibrational spectroscopy with multivariate methods as a noninvasive method. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 264, 120246. Advance online publication. https://doi.org/10.1016/j.saa.2021.120246