Determination of biomarker candidates for the placenta accreta spectrum by plasma proteomic analysis

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dc.authoridÇOLAK, CEMİL/0000-0001-5406-098X
dc.authoridKasap, Murat/0000-0001-8527-2096
dc.authoridYASAR, Seyma/0000-0003-1300-3393
dc.authoridMELEKOGLU, RAUF/0000-0001-7113-6691
dc.authoridShazly, Sherif/0000-0003-1062-9227
dc.authorwosidÇOLAK, CEMİL/ABI-3261-2020
dc.authorwosidKasap, Murat/F-7339-2018
dc.contributor.authorMelekoglu, Rauf
dc.contributor.authorYasar, Seyma
dc.contributor.authorColak, Cemil
dc.contributor.authorKasap, Murat
dc.contributor.authorDogan, Umran Karabulut
dc.contributor.authorYologlu, Saim
dc.contributor.authorYilmaz, Ercan
dc.date.accessioned2024-08-04T20:55:01Z
dc.date.available2024-08-04T20:55:01Z
dc.date.issued2024
dc.departmentİnönü Üniversitesien_US
dc.description.abstractPlacenta accreta spectrum (PAS) presents a significant obstetric challenge, associated with considerable maternal and fetal-neonatal morbidity and mortality. Nevertheless, it is imperative to acknowledge that a noteworthy subset of PAS cases remains undetected until the time of delivery, thereby contributing to an augmented incidence of morbidity among the affected individuals. The delayed identification of PAS not only hinders timely intervention but also exacerbates the associated health risks for both the maternal and fetal outcomes. This underscores the urgency to innovate strategies for early PAS diagnosis. In this study, we aimed to explore plasma proteins as potential diagnostic biomarkers for PAS. Integrated transcriptome and proteomic analyses were conducted to establish a novel diagnostic approach. A cohort of 15 pregnant women diagnosed with PAS and delivering at Inonu University Faculty of Medicine between 01/04/2021 and 01/01/2023, along with a matched control group of 15 pregnant women without PAS complications, were enrolled. Plasma protein identification utilized enzymatic digestion and liquid chromatography-tandem mass spectrometry techniques. Proteomic analysis identified 228 plasma proteins, of which 85 showed significant differences (P < 0.001) between PAS and control cases. We refined this to a set of 20 proteins for model construction, resulting in a highly accurate classification model (96.9% accuracy). Notable associations were observed for proteins encoded by P01859 (Immunoglobulin heavy constant gamma 2), P02538 (Keratin type II cytoskeletal 6A), P29622 [Kallistatin (also known as Serpin A4)], P17900 (Ganglioside GM2 activator Calmodulin-like protein 5), and P01619 (Immunoglobulin kappa variable 3-20), with fold changes indicating their relevance in distinguishing PAS from control groups. In conclusion, our study has identified novel plasma proteins that could serve as potential biomarkers for early diagnosis of PAS in pregnant women. Further research and validation in larger PAS cohorts are necessary to determine the clinical utility and reliability of these proteomic biomarkers for diagnosing PAS.en_US
dc.identifier.doi10.1038/s41598-024-53324-5
dc.identifier.issn2045-2322
dc.identifier.issue1en_US
dc.identifier.pmid38307924en_US
dc.identifier.scopus2-s2.0-85183683156en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1038/s41598-024-53324-5
dc.identifier.urihttps://hdl.handle.net/11616/101786
dc.identifier.volume14en_US
dc.identifier.wosWOS:001157186600021en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherNature Portfolioen_US
dc.relation.ispartofScientific Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject[No Keywords]en_US
dc.titleDetermination of biomarker candidates for the placenta accreta spectrum by plasma proteomic analysisen_US
dc.typeArticleen_US

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