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A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures

Govaere, Olivier (author)
Newcastle Univ, England; Katholieke Univ Leuven, Belgium; Univ Hosp Leuven, Belgium
Hasoon, Megan (author)
Newcastle Univ, England
Alexander, Leigh (author)
SomaLogic Inc, CO USA
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Cockell, Simon (author)
Newcastle Univ, England
Tiniakos, Dina (author)
Newcastle Univ, England; Natl & Kapodistrian Univ Athens, Greece
Ekstedt, Mattias (author)
Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Mag- tarmmedicinska kliniken
Schattenberg, Joern M. (author)
Univ Hosp Mainz, Germany
Boursier, Jerome (author)
Angers Univ Hosp, France
Bugianesi, Elisabetta (author)
Univ Turin, Italy
Ratziu, Vlad K. (author)
Sorbonne Univ, France
Daly, Ann K. M. (author)
Newcastle Univ, England
Anstee, Quentin M. (author)
Newcastle Univ, England; Newcastle Upon Tyne Hosp NHS Trust, England
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 (creator_code:org_t)
NATURE PORTFOLIO, 2023
2023
English.
In: Nature Metabolism. - : NATURE PORTFOLIO. - 2522-5812. ; 5:4, s. 572-578
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Govaere et al. integrate circulating protein data from more than 300 patients with non-alcoholic fatty liver disease (NAFLD) with transcriptomics and develop a non-invasive diagnostics tool to identify patients with at-risk NAFLD based on body mass index, type 2 diabetes status and four circulating proteins. Non-alcoholic fatty liver disease (NAFLD) is a common, progressive liver disease strongly associated with the metabolic syndrome. It is unclear how progression of NAFLD towards cirrhosis translates into systematic changes in circulating proteins. Here, we provide a detailed proteo-transcriptomic map of steatohepatitis and fibrosis during progressive NAFLD. In this multicentre proteomic study, we characterize 4,730 circulating proteins in 306 patients with histologically characterized NAFLD and integrate this with transcriptomic analysis in paired liver tissue. We identify circulating proteomic signatures for active steatohepatitis and advanced fibrosis, and correlate these with hepatic transcriptomics to develop a proteo-transcriptomic signature of 31 markers. Deconvolution of this signature by single-cell RNA sequencing reveals the hepatic cell types likely to contribute to proteomic changes with disease progression. As an exemplar of use as a non-invasive diagnostic, logistic regression establishes a composite model comprising four proteins (ADAMTSL2, AKR1B10, CFHR4 and TREM2), body mass index and type 2 diabetes mellitus status, to identify at-risk steatohepatitis.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Gastroenterologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Gastroenterology and Hepatology (hsv//eng)

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