Comprehensive machine learning facilitated the identification of 12 consensus predicted genes (CPGs) linked to non-alcoholic fatty liver disease (NAFLD) following metabolic and bariatric surgery (MBS). A mouse model confirmed the mRNA expression of six hub genes—PPARA, PLIN2, MED13, INSIG1, CPT1A, and ALOX5AP—showing strong correlations with data from three validation datasets. These findings highlight the potential of these genes to personalize NAFLD treatment post-MBS, enhancing clinical decision-making.
Journal Article by Li Z, Wang L (…) Xu G et 11 al. in Int J Surg
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