Achuthan Sourianarayanane, Michelle R Salemi, Brett S Phinney, Arthur J McCullough
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引用次数: 0
Abstract
Background: Biomarkers for metabolic dysfunction-associated steatohepatitis (MASH) have been considered based on proteomic and lipidomic data from plasma and liver tissue without clinical benefits. This study evaluated proteomics-based plasma and liver tissue biomarkers collected simultaneously from patients with metabolic dysfunction-associated steatotic liver disease (MASLD).
Methods: Liver tissue and plasma samples were collected during liver biopsy to diagnose MASLD. Untargeted proteomics was performed on 64 patients.
Results: Twenty plasma proteins were up- or downregulated in patients with MASH compared with those without MASH. The potential biomarkers utilizing the best combinations of these plasma proteins had an area under the receiver operating curve (AUROC) of 0.671 for detecting those with MASH compared with those without it. However, none of the 20 plasma proteins were represented among the significantly regulated liver tissue proteins in patients with MASH. Ten of them displayed a trend and relevance in liver tissue with MASLD progression. These 10 plasma proteins had an AUROC of 0.793 for MASH identification and higher positive and negative predictive values.
Conclusion: The plasma and liver protein expressions of patients with MASH were not directly comparable. Plasma protein biomarkers that are also expressed in liver tissue can help improve MASH detection.
期刊介绍:
PROTEOMICS - Clinical Applications has developed into a key source of information in the field of applying proteomics to the study of human disease and translation to the clinic. With 12 issues per year, the journal will publish papers in all relevant areas including:
-basic proteomic research designed to further understand the molecular mechanisms underlying dysfunction in human disease
-the results of proteomic studies dedicated to the discovery and validation of diagnostic and prognostic disease biomarkers
-the use of proteomics for the discovery of novel drug targets
-the application of proteomics in the drug development pipeline
-the use of proteomics as a component of clinical trials.