Blood serum lipid profiling may improve the management of recurrent miscarriage: a combination of machine learning of mid-infrared spectra and biochemical assays

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dc.authoridHuri Bulut / 0000-0003-2706-9625en_US
dc.authorscopusidHuri Bulut / 57185264300
dc.authorwosidHuri Bulut / AAM-1432-2020en_US
dc.contributor.authorGuleken, Zozan
dc.contributor.authorBahat, Pınar Yalçın
dc.contributor.authorToto, Ömer Faruk
dc.contributor.authorBulut, Huri
dc.contributor.authorJakubczyk, Pawel
dc.contributor.authorCebulski, Jozef
dc.contributor.authorPaja, Wieslaw
dc.contributor.authorPancerz, Krzysztof
dc.contributor.authorWosiak, Agnieszka
dc.contributor.authorDepciuch, Joanna
dc.date.accessioned2022-11-12T06:57:57Z
dc.date.available2022-11-12T06:57:57Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümüen_US
dc.description.abstractThe present article is focused on developing and validating an efficient, credible, minimally invasive technique based on spectral signatures of blood samples of women with recurrent miscarriage vs. those of healthy individuals who were followed in the Department of Obstetrics and Gynecology for 2 years. For this purpose, blood samples from a total of 120 participants, including healthy women (n=60) and women with diagnosed recurrent miscarriage (n=60), were obtained. The lipid profile (high-density lipoprotein, low-density lipoprotein, triglyceride, and total cholesterol levels) and lipid peroxidation (malondialdehyde and glutathione levels) were evaluated with a Beckman Coulter analyzer system for chemical analysis. Biomolecular structure and composition were determined using an attenuated total reflectance sampling methodology with Fourier transform infrared spectroscopy alongside machine learning technology to advance toward clinical translation. Here, we developed and validated instrumentation for the analysis of recurrent miscarriage patient serum that was able to differentiate recurrent miscarriage and control patients with an accuracy of 100% using a Fourier transform infrared region corresponding to lipids. We found that predictors of lipid profile abnormalities in maternal serum could significantly improve this patient pathway. The study also presents preliminary results from the first prospective clinical validation study of its kind.en_US
dc.identifier.citationGuleken, Z., Bahat, P. Y., Toto, Ö. F., Bulut, H., Jakubczyk, P., Cebulski, J., ... & Depciuch, J. (2022). Blood serum lipid profiling may improve the management of recurrent miscarriage: a combination of machine learning of mid-infrared spectra and biochemical assays. Analytical and Bioanalytical Chemistry, 1-12.en_US
dc.identifier.doi10.1007/s00216-022-04370-3en_US
dc.identifier.issn1618-2642en_US
dc.identifier.issn1618-2650en_US
dc.identifier.scopus2-s2.0-85139912881en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s00216-022-04370-3
dc.identifier.urihttps://hdl.handle.net/20.500.12713/3338
dc.identifier.wosWOS:000867589600001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorBulut, Huri
dc.language.isoenen_US
dc.publisherSPRINGER HEIDELBERGen_US
dc.relation.ispartofANALYTICAL AND BIOANALYTICAL CHEMISTRYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRecurrent Miscarriageen_US
dc.subjectFourier Transform İnfrareden_US
dc.subjectLipid Profileen_US
dc.subjectTotal Proteinen_US
dc.subjectOxidative Loaden_US
dc.subjectMachine Learningen_US
dc.titleBlood serum lipid profiling may improve the management of recurrent miscarriage: a combination of machine learning of mid-infrared spectra and biochemical assaysen_US
dc.typeArticleen_US

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