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Sökning: WFRF:(Li Mengzhen) > Integrative proteo-...

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

Yang, Hong (författare)
KTH,Science for Life Laboratory, SciLifeLab,Systembiologi
Atak, Dila (författare)
Department of Gastroenterology and Hepatology, Koç University, İstanbul, 34010, Turkiye
Yuan, Meng (författare)
KTH,Science for Life Laboratory, SciLifeLab,Systembiologi
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Li, Mengzhen (författare)
KTH,Systembiologi,Science for Life Laboratory, SciLifeLab
Altay, Özlem (författare)
KTH,Science for Life Laboratory, SciLifeLab,Systembiologi
Demirtas, Elif (författare)
School of Medicine, Koç University, Istanbul, 34450, Turkiye
Peltek, Ibrahim Batuhan (författare)
School of Medicine, Koç University, Istanbul, 34450, Turkiye
Ulukan, Burge (författare)
Department of Gastroenterology and Hepatology, Koç University, İstanbul, 34010, Turkiye
Yigit, Buket (författare)
Department of Gastroenterology and Hepatology, Koç University, İstanbul, 34010, Turkiye
Sipahioglu, Tarik (författare)
Department of Gastroenterology and Hepatology, Koç University, İstanbul, 34010, Turkiye
Alvez, Maria Bueno (författare)
KTH,Science for Life Laboratory, SciLifeLab,Systembiologi
Meng, Lingqi (författare)
KTH,Systembiologi,Science for Life Laboratory, SciLifeLab
Yüksel, Bayram (författare)
SZAOMICS Biotechnology R&D, İstanbul, 34010, Turkiye
Turkez, Hasan (författare)
Department of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, 25240, Turkiye
Kirimlioglu, Hale (författare)
Department of Pathology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752, Istanbul, Turkiye
Saka, Burcu (författare)
Department of Pathology, School of Medicine, Koç University, Istanbul, 34010, Turkiye
Yurdaydin, Cihan (författare)
Department of Gastroenterology and Hepatology, Koç University, İstanbul, 34010, Turkiye
Akyildiz, Murat (författare)
Department of Gastroenterology and Hepatology, Koç University, İstanbul, 34010, Turkiye
Dayangac, Murat (författare)
Department of General Surgery, Faculty of Medicine, Medipol University, Istanbul, 34010, Turkiye
Uhlén, Mathias (författare)
KTH,Science for Life Laboratory, SciLifeLab,Systembiologi
Borén, Jan (författare)
Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg, Sweden
Zhang, Cheng (författare)
KTH,Science for Life Laboratory, SciLifeLab,Systembiologi
Mardinoglu, Adil (författare)
KTH,Science for Life Laboratory, SciLifeLab,Systembiologi
Zeybel, Mujdat (författare)
Department of Gastroenterology and Hepatology, Koç University, İstanbul, 34010, Turkiye; Clinical Trials Unit, Koç University Hospital, 34010, Istanbul, Turkiye
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 (creator_code:org_t)
Engelska.
  • Annan publikation (övrigt vetenskapligt/konstnärligt)
Abstract Ämnesord
Stäng  
  • Various causes of chronic hepatic injury and inflammation can lead to fibrosis and cirrhosis, potentially predisposing individuals to hepatocellular carcinoma. Despite extensive research, the molecular mechanisms underlying liver fibrosis and its associated progression to cancer remain incompletely understood. In this study, we employed an integrated proteotranscriptomics approach to characterize the molecular pathophysiology of liver fibrosis in both liver and plasma samples from 330 individuals. This cohort included 40 healthy subjects and 290 patients with histologically characterized fibrosis due to chronic viral infection, alcohol consumption, or metabolic-dysfunction associated steatotic liver disease. We demonstrated that pathways related to extracellular matrix alterations, immune response, inflammation, and metabolism are dysregulated in advanced hepatic fibrosis, regardless of the underlying cause. Additionally, our analysis of peritumoral hepatic tissues revealed transcription signatures linked to cell proliferation, survival, and inflammation in hepatocellular carcinoma. Furthermore, we observed extensive remodeling of the plasma proteome linked with severe fibrosis and identified 132 circulating proteomic signatures associated with advanced fibrosis by integrative analysis of plasma proteomics with hepatic transcriptomics. We finally developed predictive models using machine learning to facilitate the non-invasive detection of advanced fibrosis and cirrhosis.

Nyckelord

Chronic liver disease; Liver fibrosis; Multi-omics; Systems biology; Noninvasive
Media Technology
Medieteknik

Publikations- och innehållstyp

vet (ämneskategori)
ovr (ämneskategori)

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