Publication:
Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies

dc.contributor.coauthorYang,Hong
dc.contributor.coauthorYuan,Meng
dc.contributor.coauthorLi,Mengzhen
dc.contributor.coauthorAltay,Ozlem
dc.contributor.coauthorAlvez,MariaBueno
dc.contributor.coauthorMeng,Lingqi
dc.contributor.coauthorYuksel,Bayram
dc.contributor.coauthorTurkez,Hasan
dc.contributor.coauthorKirimlioglu,Hale
dc.contributor.coauthorDayangac,Murat
dc.contributor.coauthorUhlen,Mathias
dc.contributor.coauthorBoren,Jan
dc.contributor.coauthorZhang,Cheng
dc.contributor.coauthorMardinoglu,Adil
dc.contributor.departmentKUH (Koç University Hospital)
dc.contributor.departmentSchool of Medicine
dc.contributor.kuauthorAtak, Dila
dc.contributor.kuauthorUlukan, Bürge
dc.contributor.kuauthorYurdaydın, Cihan
dc.contributor.kuauthorAkyıldız, Murat
dc.contributor.kuauthorZeybel, Müjdat
dc.contributor.kuauthorDemirtaş, Elif
dc.contributor.kuauthorPeltek, İbrahim Batuhan
dc.contributor.kuauthorSaka, Burcu
dc.contributor.kuauthorYiğit Alpdoğan, Buket
dc.contributor.kuauthorSipahioğlu, Tarık
dc.contributor.schoolcollegeinstituteKUH (KOÇ UNIVERSITY HOSPITAL)
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2025-05-22T10:35:49Z
dc.date.available2025-05-22
dc.date.issued2025
dc.description.abstractChronic hepatic injury and inflammation from various causes can lead to fibrosis and cirrhosis, potentially predisposing to hepatocellular carcinoma. The molecular mechanisms underlying fibrosis and its progression remain incompletely understood. Using a proteo-transcriptomics approach, we analyze liver and plasma samples from 330 individuals, including 40 healthy individuals and 290 patients with histologically characterized fibrosis due to chronic viral infection, alcohol consumption, or metabolic dysfunction-associated steatotic liver disease. Our findings reveal dysregulated pathways related to extracellular matrix, immune response, inflammation, and metabolism in advanced fibrosis. We also identify 132 circulating proteins associated with advanced fibrosis, with neurofascin and growth differentiation factor 15 demonstrating superior predictive performance for advanced fibrosis(area under the receiver operating characteristic curve [AUROC] 0.89 [95% confidence interval (CI) 0.81-0.97]) compared to the fibrosis-4 model (AUROC 0.85 [95% CI 0.78- 0.93]). These findings provide insights into fibrosis pathogenesis and highlight the potential for more accurate non-invasive diagnosis.
dc.description.fulltextYes
dc.description.harvestedfromManual
dc.description.indexedbyPubMed
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessGold OA
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuEU - TÜBİTAK
dc.description.sponsorshipThe authors would like to acknowledge financial support from ScandiEdge and ScandiBio Therapeutics and the Knut and Alice Wallenberg Foundation (no. 72110). A.M. and H.Y. acknowledge support from the PoLiMeR Innovative Training Network (Marie Sk1odowska-Curie grant agreement no. 812616), which has received funding from the European Union's Horizon 2020 research and innovation program. The authors gratefully acknowledge the use of the services and facilities of the Koc, University Research Center for Translational Medicine (KUTTAM), equally funded by the Republic of Turkey Ministry of Development Research Infrastructure Support Program. Findings, opinions, or points of view expressed in this article do not necessarily represent the official position or policies of the Ministry of Development. This project was sup- ported by the Horizon 2020 Marie Curie Sklodowska Individual Fellowship (to M.Z.) and Scientific and Technological Research Council of Turkey (TUBITAK) 1001 grant with a project number of 117S440 (to M.Z.). The computations were performed on resources provided by SNIC through the Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) under project sllstore2017024, sctatlas, and naiss2023-6-92.
dc.description.versionPublished Version
dc.identifier.doi10.1016/j.xcrm.2025.101935
dc.identifier.embargoNo
dc.identifier.filenameinventorynoIR06313
dc.identifier.issn2666-3791
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85217935601
dc.identifier.urihttps://hdl.handle.net/20.500.14288/29507
dc.identifier.urihttps://doi.org/10.1016/j.xcrm.2025.101935
dc.identifier.wos001434169900001
dc.keywordsProteo‑transcriptomics
dc.keywordsAdvanced liver fibrosis
dc.keywordsMulti‑omics integration
dc.language.isoeng
dc.publisherCell Press
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofCell Reports Medicine
dc.relation.openaccessYes
dc.rightsCC BY (Attribution)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectMedicine
dc.titleIntegrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies
dc.typeJournal Article
dspace.entity.typePublication
person.familyNameAtak
person.familyNameUlukan
person.familyNameYurdaydın
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