In summary, based on our bioinformatics analysis, we identified five FRGs (SCP2, MUC1, DPP4, SLC1A4, and TF) that could predict NAFLD development and explored the potential pathway of liver tissue damage in NAFLD. This evidence concerns the gene SLC1A4 and metabolic dysfunction-associated steatotic liver disease.