Diagnostics of Autoimmune Hepatitis Enabled by Non-Invasive Clinical Proteomics.

ABSTRACT:

Background

Autoimmune hepatitis (AIH) may be difficult to diagnose and distinguish clinically and biochemically from other chronic liver diseases like metabolic dysfunction-associated steatotic liver disease (MASLD).

Aims

To identify pathways involved in the pathogenesis and identify disease-specific biomarkers of AIH.

Methods

We recruited 19 newly diagnosed patients with AIH, 17 with MASLD, and 19 healthy controls. Liver tissue and plasma were collected, and untargeted mass-spectrometry-based proteomics was performed. For classification of AIH versus MASLD and healthy, machine learning analyses were performed employing logistic regression models on liver and plasma proteome data. Findings were validated using data from the United Kingdom Biobank (UKB).

Results

SUBMITTER: Jensen AH 

PROVIDER: S-EPMC12517118 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature