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. The gene discussed is TF; the disease is metabolic dysfunction-associated steatotic liver disease.