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Affinity proteomics-based non-invasive detection of clinically significant liver disease

2025-06-14

Abstract excerpt

<h4>Background</h4> Since liver disease is often clinically unapparent, non-invasive biomarkers predicting future major adverse liver outcomes (MALO) are urgently needed. Therefore, we assessed the usefulness of a novel, proximity extension assay (PEA)-based high-throughput targeted proteomics method to predict MALOs. <h4>Methods</h4> PEA plasma proteomic data (>2900 proteins) and clinical information were accesse...

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Literature Corpus work
8a5ff739-5746-5cdb-a745-cd51c43fe93f
DOI
10.1101/2025.06.13.25329564
Open publication

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Affinity proteomics-based non-invasive detection of clinically significant liver diseaseDOI 10.1101/2025.06.13.25329564
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