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

Basit Öğe Kaydı
dc.authoridHuri Bulut / 0000-0003-2706-9625
dc.authorscopusidBerk Bulut / 24465134400en_US
dc.authorscopusidHuri Bulut / 57185264300
dc.authorwosidHuri Bulut / AAM-1432-2020
dc.authorwosidBerk Bulut / IAE-6700-2023
dc.contributor.authorGüleken, Z.
dc.contributor.authorBulut, Huri
dc.contributor.authorBulut, Berk
dc.contributor.authorPaja, W.
dc.contributor.authorOrzechowska, B.
dc.contributor.authorParlinska-Wojtan, M.
dc.contributor.authorDepciuch, J.
dc.date.accessioned2022-02-28T14:13:47Z
dc.date.available2022-02-28T14:13:47Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri Bölümüen_US
dc.description.abstractPolycystic 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. © 2022 Elsevier B.V.en_US
dc.identifier.citationGuleken, Z., Bulut, H., Bulut, B., Paja, W., Orzechowska, B., Parlinska-Wojtan, M., & Depciuch, J. (2022). Identification of polycystic ovary syndrome from blood serum using hormone levels via raman spectroscopy and multivariate analysis. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 273 doi:10.1016/j.saa.2022.121029en_US
dc.identifier.doi10.1016/j.saa.2022.121029en_US
dc.identifier.issn1386-1425en_US
dc.identifier.scopus2-s2.0-85124979605en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.saa.2022.121029
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2512
dc.identifier.volume273en_US
dc.identifier.wosWOS:000788837700002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorBulut, Huri
dc.institutionauthorBulut, Berk
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofSpectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFollicle Numberen_US
dc.subjectHormone Levelsen_US
dc.subjectPCAen_US
dc.subjectPLSen_US
dc.subjectPolycystic Ovarian Syndromeen_US
dc.subjectRAMAN Spectroscopyen_US
dc.titleIdentification of polycystic ovary syndrome from blood serum using hormone levels via Raman spectroscopy and multivariate analysisen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
281.pdf
Boyut:
1.73 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu
Cerrahi Tıp Bilimleri Bölümü Makale Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Temel Tıp Bilimleri Bölümü Makale Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu