School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China.
Affiliated Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100010, China.
Sci Rep. 2022 Aug 17;12(1):13980. doi: 10.1038/s41598-022-18361-y.
Hyperuricemia (HUA) seriously harms human health but the exact etiology and pathogenesis of HUA are not fully understood. Therefore, it is still of great significance to find effective biomarkers and explore the pathogenesis of HUA. Metabolomics reflects the influence of internal and external factors on system metabolism, explains the changes in metabolite levels during the development of diseases, and reveals the molecular mechanism of pathogenesis. Metabolomics is divided into untargeted metabolomics and targeted metabolomics according to different research modes. Each other's advantages can be fully utilized by combining the two so that the results of metabolomics research can be consummated. 20 HUA patients and 20 healthy individuals participated in the experiment, and untargeted metabolomics was employed to find 50 differential metabolites in HUA serum samples. Twelve candidate biomarkers were screened based on literature research and ROC Curve analysis for subsequent verification. Based on the UPLC-TQ-MS analysis platform, the targeted metabolomics detection methods were established and the content of 12 candidate biomarkers was precisely quantified. Compare with the results of untargeted metabolomics, the targeted metabolomics results were considered more reliable.
高尿酸血症(HUA)严重危害人类健康,但 HUA 的确切病因和发病机制尚不完全清楚。因此,寻找有效的生物标志物并探讨 HUA 的发病机制仍具有重要意义。代谢组学反映了内外因素对系统代谢的影响,解释了疾病发生过程中代谢物水平的变化,并揭示了发病机制的分子机制。根据不同的研究模式,代谢组学分为非靶向代谢组学和靶向代谢组学。通过将两者结合,可以充分利用彼此的优势,使代谢组学研究的结果更加完善。20 名 HUA 患者和 20 名健康个体参与了实验,采用非靶向代谢组学方法在 HUA 血清样本中发现了 50 个差异代谢物。基于文献研究和 ROC 曲线分析筛选了 12 个候选生物标志物,用于后续验证。基于 UPLC-TQ-MS 分析平台,建立了靶向代谢组学检测方法,并对 12 个候选生物标志物的含量进行了精确定量。与非靶向代谢组学的结果相比,靶向代谢组学的结果被认为更可靠。