High-Throughput Untargeted Serum Metabolomics Analysis of Hyperuricemia Patients by UPLC-Q-TOF/MS.
High-Throughput Untargeted Serum Metabolomics Analysis of Hyperuricemia Patients by UPLC-Q-TOF/MS.
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DOI：
10.1155/2021/5524772
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Ma Q
中科院分区：
文献类型：
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作者：
Qin N;Jiang Y;Shi W;Wang L;Kong L;Wang C;Guo Y;Zhang J;Ma Q
高尿酸血症（HUA）作为一种代谢性疾病，与代谢紊乱密切相关。 HUA的病因和发病机制尚不完全清楚，因此迄今为止尚无根治方法。代谢组学作为一门专门研究内源性小分子物质的学科，已成为对选定的差异代谢物进行代谢途径分析的有力工具，有助于初步揭示多种人类疾病可能的发生机制。 20 名 HUA 患者和 20 名健康个体参与了该实验，采用超高效液相色谱结合四极杆飞行时间串联质谱 (UPLC-Q-TOF/MS) 研究血清样本以寻找差异代谢物。使用的统计技术是主成分分析和正交偏最小二乘判别分析。比较不同溶剂预处理后样品代谢组学结果的差异，在HUA患者样品中分别发现38、20、26、28、33、50和40个潜在差异代谢物，且各组涉及不同的代谢途径。去除重复代谢物，整合HUA血清中138个差异代谢物进行分析，得出人体受甘油磷脂代谢、鞘脂代谢、花生四烯酸代谢、亚油酸代谢、苯丙氨酸代谢、苯丙氨酸、酪氨酸和色氨酸生物合成、α-亚麻酸代谢7条代谢途径的影响。本工作采用基于UPLC-Q-TOF/MS的代谢组学方法研究HUA患者的血清代谢变化，鉴定出138种与HUA相关的潜在差异代谢物，提供了HUA个体的脂质、氨基酸、脂肪酸、有机酸和核苷谱的关联。甘油磷脂代谢、鞘脂代谢、花生四烯酸代谢、亚油酸代谢、苯丙氨酸代谢、苯丙氨酸、酪氨酸和色氨酸生物合成以及α-亚麻酸代谢等代谢途径有助于了解HUA的病因和发病过程。
Hyperuricemia (HUA) as a metabolic disease is closely associated with metabolic disorders. The etiology and pathogenesis of HUA are not fully understood, so there is no radical cure so far. Metabolomics, a specialized study of endogenous small molecule substances, has become a powerful tool for metabolic pathway analysis of selected differential metabolites, which is helpful for initially revealing possible development mechanisms of various human diseases. Twenty HUA patients and 20 healthy individuals participated in the experiment, and ultrahigh performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF/MS) was employed to investigate serum samples to find differential metabolites. The statistical techniques used were principal component analysis and orthogonal partial least-squares discriminant analysis. The differences in metabolomics results of samples after pretreatment with different solvents were compared, 38, 20, 26, 28, 33, 50, and 40 potential differential metabolites were found, respectively, in HUA patient samples, and each group involved different metabolic pathways. Repetitive metabolites were removed, 138 differential metabolites in HUA serum were integrated for analysis, and the human body was affected by 7 metabolic pathways of glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and α-linolenic acid metabolism. In this work, the metabolomics approach based on UPLC-Q-TOF/MS was employed to investigate serum metabolic changes in HUA patients, 138 potential differential metabolites related to HUA were identified, which provided associations of lipids, amino acids, fatty acids, organic acids, and nucleosides profiles of HUA individuals. Metabolic pathways involved in glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and a-linolenic acid metabolism shed light on the understanding of the etiology and pathogenesis process of HUA.