PIK3C2A and metabolic disease: By contrast, indices such as CPK, LDH, and TBIL showed no significant differences between the groups (P > 0.05).These baseline differences indicate that factors such as gender, age, obesity, and metabolic disorders are closely associated with MASLD pathogenesis, providing critical evidence for feature selection and predictive analysis in subsequent machine learning models.