Construction and evaluation of a diagnostic model for metabolic dysfunction-associated steatotic liver disease based on advanced glycation end products and their receptors

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: March 28, 2025

Effective biomarkers for the diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD) remain limited. This study aims to evaluate potential advanced glycation end products (AGEs) and their endogenous secretory receptor (esRAGE) as non-invasive diagnosing MASLD, explore differences between obese non-obese MASLD patients, develop a novel diagnostic model based on these biomarkers. enrolled 341 participants, including 246 patients (118 non-obese, 128 obese) 95 healthy controls. Serum AGEs esRAGE levels were measured by ELISA. Key predictors identified using Lasso algorithm, was developed with logistic regression visualized nomograms. Diagnostic accuracy utility evaluated through area under curve (AUC), bootstrap validation, calibration curves, decision analysis (DCA). significantly higher in compared Moreover, had than ones, but no significant difference found. A incorporating age, WC, BMI, ALT, TG, HDL, AGEs, achieved an AUC 0.963, 94.3% sensitivity 85.3% specificity. The internal validation 0.963 (95% CI: 0.944-0.982). Calibration curves showed strong predictive accuracy, DCA demonstrated high net clinical benefit. serve distinguishing patients. We validated models offering valuable tools identify at-risk populations improve prevention treatment strategies.

Language: Английский

Nonlinear association between body roundness index and metabolic dysfunction associated steatotic liver disease in nondiabetic Japanese adults

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 2, 2025

Language: Английский