Soluble TREM2 reflects liver fibrosis status and predicts postoperative liver dysfunction after liver surgery

Soluble TREM2 (sTREM2) has previously been shown to correlate with the degree of chronic liver disease. We found that even in patients undergoing liver resection, who generally do not suffer from end-stage liver disease, sTREM2 reflects liver fibrosis status and predicts postoperative development of liver dysfunction. This is especially relevant for liver surgeons and patients, as postoperative liver dysfunction is the main reason for postoperative mortality. Our findings are also important for hepatologists, as early detection of liver fibrosis and cirrhosis is paramount for overall patient survival and we can show that even in a cohort with a median model for end-stage liver disease score of 6, sTREM2 is able to distinguish patients based on their liver fibrosis status.

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Publication Details

Journal
JHEP Reports
Published
2024-10-04
DOI
https://doi.org/10.1016/j.jhepr.2024.101226
Citations
5
Primary Topic
Inflammation biomarkers and pathways
Type
article
Field-Weighted Citation Impact
1.20

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article

Soluble TREM2 reflects liver fibrosis status and predicts postoperative liver dysfunction after liver surgery

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5 citations
JHEP Reports
Inflammation biomarkers and pathways
1.20
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Soluble TREM2 reflects liver fibrosis status and predicts postoperative liver dysfunction after liver surgery

Patrick P. Starlinger, Benedikt Rumpf, Gregor Ortmayr, Thomas Gruenberger, A.E. Kern, Constanze Hoebinger, Monika Aiad, Jonas Santol, Taras P. Baranovskyi, Pia Schuler, Dragana Rajcic, Tim Hendrikx, Anna S Jankoschek, Markus Ammann, Jeremias Weninger, Joel Probst
article en
5 citations

Abstract

Soluble TREM2 (sTREM2) has previously been shown to correlate with the degree of chronic liver disease. We found that even in patients undergoing liver resection, who generally do not suffer from end-stage liver disease, sTREM2 reflects liver fibrosis status and predicts postoperative development of liver dysfunction. This is especially relevant for liver surgeons and patients, as postoperative liver dysfunction is the main reason for postoperative mortality. Our findings are also important for hepatologists, as early detection of liver fibrosis and cirrhosis is paramount for overall patient survival and we can show that even in a cohort with a median model for end-stage liver disease score of 6, sTREM2 is able to distinguish patients based on their liver fibrosis status.

JHEP ReportsVol. 7(4)
Sigmund Freud Privatuniversität Wien (AT), Fachhochschule Wiener Neustadt (AT), Comprehensive Cancer Center Vienna (AT), Mayo Clinic in Arizona (US), AGO Austria (AT), Medical University of Vienna (AT)
Universität Wien, Medizinische Universität Wien, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 21%
Inflammation biomarkers and pathways
1.20
DOIOpen Access PDFOpenAlex
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