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It is commonly acknowledged that the development of gout is a multi-step process, from asymptomatic hyperuricemia, to acute gouty arthritis and intercritical gout, finally to chronic tophaceous gout [1-3]. The preliminary consequence in the development of gout is hyperuricemia. However, hyperuricemia is not necessarily related to gout and as many as 42％ of acute gout patients might have normal levels of serum uric acid [4, 5]. Therefore, serum uric acid alone as evaluated indicator for clinical diagnosis is insufficient. Identification of novel biomarkers for gout diagnosis is highly desirable to prevent the destruction of joints caused by tophaceous gout. Metabolite target analysis was established for urine based on fifteen endogenous metabolisms by high performance liquid chromatography-diode array detector (HPLC-DAD). Pattern recognition techniques were performed in order to discover significant metabolites from 15 metabolites.