Kobayashi et al. [18] used GC–MS and LC–MS for the metabolomic analysis of serum samples from patients with CKD and used differential metabolites to construct a multiple regression equation to predict the CKD stage based on cystatin C-based eGFR with 81.3% accuracy. The gene discussed is CST3; the disease is chronic kidney disease.