A novel approach utilizing rapid thin-film microextraction method for salivary metabolomics studies in lung cancer diagnosis

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dc.authoridPelit, Fusun/0000-0003-0551-664X
dc.authoridMert Ozupek, Nazli/0000-0002-1627-1548
dc.authoridGOKSEL, Ozlem/0000-0003-1121-9967
dc.contributor.authorPelit, Fusun
dc.contributor.authorErbas, Ilknur
dc.contributor.authorOzupek, Nazli Mert
dc.contributor.authorGul, Merve
dc.contributor.authorSakrak, Esra
dc.contributor.authorOcakoglu, Kasim
dc.contributor.authorPelit, Levent
dc.date.accessioned2025-03-17T12:27:02Z
dc.date.available2025-03-17T12:27:02Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description.abstractThis study investigated the potential of targeted salivary metabolomics as a convenient diagnostic tool for lung cancer (LC), utilizing a rapid TFME-based method. It specifically examines TFME blades modified with SiO2 nanoparticles, which were produced using a custom-made coating system. Validation of the metabolite biomarker analysis was performed by these blades using liquid chromatography-tandem mass spectroscopy (LCMS/MS). The extraction efficiencies of SiO2 nanoparticle/polyacrylonitrile (PAN) composite-coated blades were compared for 18 metabolites. Response surface methodology (RSM) was used to optimize the analysis conditions. Linear calibration plots were obtained for all metabolites at concentrations between 0.025 to 4.0 mu g/mL in the presence of internal standard, with correlation coefficients (R-2) ranging from 0.9975 to 0.9841. The limit of detection (LOD) and limit of quantitation (LOQ) were in the range of 0.014 to 0.97 mu g mL(-1) and 0.046 to 3.20 mu gmL(-1), respectively. The %RSD values for all analytes were within the acceptable range (less than 20 %) for the proposed method. The method was applied to the saliva samples of 40 patients with LC and 38 healthy controls. The efficacy of metabolites for LC diagnosis was determined by in silico methods and the results reveal that phenylalanine and purine metabolism metabolites (e.g., hypoxanthine) are of great importance for LC diagnosis. Furthermore, potentially significant biomarker analysis results from the ROC curve data reveal that proline, hypoxanthine, and phenylalanine were identified as potential biomarkers for LC diagnosis.
dc.description.sponsorshipScientific and Technological Research Council of Turkiye (TUBITAK) [315S307]; Presidency of Strategy and Budget of the Presidency of Republic of Turkiye [2019 K12-149080]
dc.description.sponsorshipFunding was provided by Scientific and Technological Research Council of Turkiye (TUBITAK) under grant number 315S307 and the Presidency of Strategy and Budget of the Presidency of Republic of Turkiye (2019 K12-149080) .
dc.identifier.doi10.1016/j.microc.2024.112069
dc.identifier.issn0026-265X
dc.identifier.issn1095-9149
dc.identifier.scopus2-s2.0-85207899081
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.microc.2024.112069
dc.identifier.urihttps://hdl.handle.net/20.500.13099/2018
dc.identifier.volume207
dc.identifier.wosWOS:001350472900001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofMicrochemical Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectBiomarker
dc.subjectMetabolomics
dc.subjectThin Film Microextraction
dc.subjectLiquid Chromatography-Tandem Mass Spectrometry
dc.subjectSaliva
dc.titleA novel approach utilizing rapid thin-film microextraction method for salivary metabolomics studies in lung cancer diagnosis
dc.typeArticle

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