Multi-omics analysis of placental metabolomics and transcriptomics datasets reveals comprehensive insights into the pathophysiology of preeclampsia

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dc.contributor.authorMumcu, Akin
dc.contributor.authorSaridogan, Erdinc
dc.contributor.authorDuz, Senem Arda
dc.contributor.authorTuncay, Gorkem
dc.contributor.authorErdogan, Ali
dc.contributor.authorKaraer, Kadri
dc.contributor.authorOnat, Taylan
dc.date.accessioned2026-04-04T13:34:59Z
dc.date.available2026-04-04T13:34:59Z
dc.date.issued2025
dc.departmentİnönü Üniversitesi
dc.description.abstractPreeclampsia, a life-threatening pregnancy complication, remains a major global health concern. Understanding the complex molecular mechanisms underlying this disorder is crucial for improving both diagnostics and therapeutic strategies. In this study, a multi-omics approach based on NMR metabolomics and RNA-seq transcriptomics analyses was conducted to analyze placental tissue samples obtained from patients with preeclampsia and healthy controls. Metabolomics data analysis results indicated alterations in several metabolite levels including lactate, myo-inositol, glutamate, glutamine, valine, leucine, isoleucine, creatinine, alanine, taurine, choline, phosphocholine, glycerophosphocholine, ethanolamine, and dihydroxyacetone. These alterations cause significant disruptions in the Krebs cycle, energy, lipid, and amino acid metabolisms. Concurrently, transcriptomics data analysis identified 10 upregulated and 37 downregulated genes (|log2FC= > 1 and padj < 0.05) in preeclampsia patients. Identified genes were linked to critical roles such as vasoconstriction, angiogenesis, inflammation, hormonal balance, oxidative stress, and collagen integrity. Multi-omics data analysis revealed the association of certain metabolites with several other genes. A gene interaction network formed by these genes resulted in a lower protein-protein interaction enrichment value (p-value < 1e-16) compared to the network formed with the differentially expressed genes (p-value = 0.0183) which suggests the importance of considering multiple omics levels for a comprehensive understanding of the disease.
dc.description.sponsorshipScientific and Tech-nological Research Council of Turkiye (TUBITAK) [FBG-2020-2212]; [120C152]
dc.description.sponsorshipThis study was supported by the Health Institutes of Turkiye (TUSEB) , Project Number: 2019-TA01-3658, and by the Inonu University Scientific Research Projects Coordination Unit, Project Number: FBG-2020-2212. Berat Dogyan is supported by the Scientific and Technological Research Council of Turkiye (TUBITAK) with Project Number: 120C152.
dc.identifier.doi10.1016/j.jpba.2025.116701
dc.identifier.issn0731-7085
dc.identifier.issn1873-264X
dc.identifier.orcid0000-0003-4810-1970
dc.identifier.pmid39883963
dc.identifier.scopus2-s2.0-85216250233
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jpba.2025.116701
dc.identifier.urihttps://hdl.handle.net/11616/109516
dc.identifier.volume256
dc.identifier.wosWOS:001415692900001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of Pharmaceutical and Biomedical Analysis
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250329
dc.subjectMetabolomics
dc.subjectHR-MAS NMR
dc.subjectTranscriptomics
dc.subjectMulti-omics
dc.subjectPlacenta
dc.subjectPreeclampsia
dc.titleMulti-omics analysis of placental metabolomics and transcriptomics datasets reveals comprehensive insights into the pathophysiology of preeclampsia
dc.typeArticle

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