Key Laboratory of Chemistry of Northwestern Plant Resources, Chinese Academy of Sciences, Lanzhou Institute of Chemical Physics, Lanzhou 730000, China.
Clin Chim Acta. 2011 Nov 20;412(23-24):2132-40. doi: 10.1016/j.cca.2011.07.031. Epub 2011 Aug 16.
Uric acid (UA) is the only biomedical indicator for gout in clinic that always leads to an uncertain diagnose. Due to the lack of reliable metabolites, it is now already highly desirable to diagnose gout definitely.
Metabonomics was employed to screen and identify novel biomarkers of gout based on human serum and urine. High performance liquid chromatography-diode array detector (HPLC-DAD) and orthogonal signal correction partial least squares discriminate analysis (OSC-PLS-DA) were also used for metabonomics study.
Several potential biomarkers including uric acid, creatinine, tryptophan in serum and uric acid, creatinine, guanosine, hippuric acid in urine, were respectively screened and identified. For serum and urine, the predictive levels about the OSC-PLS-DA models of the gout and controls were 95.76% and 100%, and the correction levels about the seriousness of the disease were 90.32% and 87.5%, respectively.
Compared with intermittent gout, the acute gout shows clearly the dysfunctions of purine, protein and glucose metabolism. The metabolizing of guanosine to UA increases the levels of UA in serum at the acute stage. Our research contributes to a better understanding of the metabolic mechanism and allowing the targeted therapy of gout at different stages.
尿酸（UA）是临床诊断痛风的唯一生物医学指标，但其诊断结果往往并不确定。由于缺乏可靠的代谢物，目前迫切需要明确诊断痛风。
采用代谢组学方法，基于人血清和尿液筛选和鉴定痛风的新型生物标志物。还使用高效液相色谱-二极管阵列检测器（HPLC-DAD）和正交信号校正偏最小二乘判别分析（OSC-PLS-DA）进行代谢组学研究。
分别筛选和鉴定了血清中的尿酸、肌酐、色氨酸和尿液中的尿酸、肌酐、鸟苷、马尿酸等几种潜在的生物标志物。对于血清和尿液，痛风和对照组的 OSC-PLS-DA 模型的预测水平分别为 95.76%和 100%，疾病严重程度的校正水平分别为 90.32%和 87.5%。
与间歇性痛风相比，急性痛风明显表现出嘌呤、蛋白质和葡萄糖代谢功能障碍。在急性阶段，鸟苷向 UA 的转化增加了血清中 UA 的水平。本研究有助于更好地了解代谢机制，并为不同阶段的痛风提供靶向治疗。
