Here, based on nine core-gene expressions (MT1G, MT1X, MT1F, MT1H, MT1M, FABP4, SPP1, MMP7 and CCL2) filtered by WCGNA and Cytoscape, we developed three classifiers to successfully identify different NAFLD states (sensitivity Normal/NAFLD (47%), NAFLD/NASH (75%), Norma/NASH (83%) and specificity Normal/NAFLD (87%), NAFLD/NASH (77%), Normal/NASH (94%), Figure 4, 5). The gene discussed is FABP4; the disease is metabolic dysfunction-associated steatohepatitis.