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A paired liver biopsy and plasma proteomics study reveals circulating biomarkers for alcohol-related liver disease

Niu, L.; Thiele, M.; Geyer, P. E.; Rasmussen, D. N.; Webel, H. E.; Santos, A.; Gupta, R.; Meier, F.; Strauss, M.; Kjaergaard, M.; Lindvig, K.; Jacobsen, S.; Rasmussen, S.; Hansen, T.; Krag, A.; Mann, M.

2020-10-16 biochemistry
10.1101/2020.10.16.337592 bioRxiv
Show abstract

Existing tests for detecting liver fibrosis, inflammation and steatosis, three stages of liver disease that are still reversible are severely hampered by limited accuracy or invasive nature. Here, we present a paired liver-plasma proteomics approach to infer molecular pathophysiology and to identify biomarkers in a cross-sectional alcohol-related liver disease cohort of nearly 600 individuals. Metabolic functions were downregulated whereas fibrosis-associated signaling and novel immune responses were upregulated, but only half of tissue proteome changes were transmitted to the circulation. Machine learning models based on our biomarker panels outperformed existing tests, laying the foundation for a generic proteomic liver health assessment.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.