ArticleJournal of gastroenterology and hepatology2026
Plasma Biomarkers of Senescence in Cholestatic Liver Disease: A Signature of Risk Stratification and Progression.
Article in Journal of gastroenterology and hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
BACKGROUND AND
aimsCellular senescence is a hallmark of several liver diseases, including primary sclerosing cholangitis (PSC) and primary biliary cholangitis (PBC). Senescent cholangiocytes exhibit a senescence-associated secretory phenotype (SASP), characterized by profibroinflammatory mediator release. Current cost-effective biomarkers predicting disease progression, particularly for PSC, are limited and often lack mechanistic relevance. We sought to define a plasma biomarker signature for PSC and PBC.
methodsPlasma from early- and late-stage PSC and PBC, alcoholic liver disease (ALD), inflammatory bowel disease (IBD) patients, and healthy controls was analyzed. Seventy-one analytes were quantified using Luminex Multiplex Immunoassay or enzyme-linked immunosorbent assay (ELISA). Principal component analysis (PCA) identified key patterns. Findings from the PSC cohort were then applied to additional cohorts.
resultsSecond principal component (PC2) (17 analytes, 17.1% variability) best separated PSC from controls. ANOVA showed significant differences in PC2 between early PSC vs. controls (p = 0.0001), late PSC vs. controls (p < 0.0001), and early vs. late PSC (p < 0.0001). PC2 analytes also distinguished early PBC vs. controls (p < 0.0332), late PBC (p < 0.0001), and ALD (p < 0.0001), and early vs. late PBC (p < 0.0001), but not IBD vs. controls (p = 0.119). Logistic regression using PC2 demonstrated strong discrimination of early- and late-stage PSC (AUC = 0.86) and control vs. early-stage PSC (AUC = 0.83).
conclusionThis is the first study to define a plasma SASP biomarker signature associated with cholestatic liver disease. These analytes track disease stage and represent both mechanistic indicators and potential clinical trial endpoints.
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