Untargeted metabolomics methods to study the pattern of metabolites in the serum of brucellosis patients
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目的 基于非靶向代谢组学方法探索布鲁氏菌感染人体后血清中小分子代谢产物的变化，筛选具有代表性的生物标志物。 方法 将2019年1月至2021年12月在包头市疾病预防控制中心布鲁氏菌病（简称布病）门诊收集的109份血清样本，根据临床诊断分为布病急性期组（n = 40）、慢性期组（n = 35）以及健康组（n = 34）。采用超高效液相色谱-四极杆飞行时间质谱技术，对血清进行检测，筛选差异代谢产物，并利用受试者工作特征曲线对差异代谢产物进行布病预测能力评估。通过京都基因和基因组百科全书（KEGG）通路分析筛选富集通路，确定受显著影响的代谢途径。 结果 急性期组与健康组之间筛选出17种差异代谢产物，慢性期组与健康组之间筛选出12种差异代谢产物，共有5种差异代谢产物（油酸酰胺、亚油酸酰胺、硬脂酰胺、棕榈油酸、α-亚麻酸）水平在3组间有统计学意义（F = 16.84、17.52、14.31、13.01、20.76，均P < 0.05）。KEGG通路分析显示，急性期组的差异代谢产物主要富集在乙醚脂质代谢、甘油磷酸酯代谢、鞘脂信号、鞘脂代谢通路；慢性期组的差异代谢产物主要富集在甘油磷酸酯代谢、乙醚脂质代谢、蛋白质消化吸收代谢通路。 结论 非靶向代谢组学方法可以筛选出布鲁氏菌感染人体后血清中发生变化的小分子代谢产物，其中油酸酰胺、亚油酸酰胺、硬脂酰胺、棕榈油酸、α-亚麻酸可以作为区分布病患者和健康人群的潜在生物标志物。 Objective To study the changes in serum small molecule metabolites after brucella infection in humans using untargeted metabolomics methods, and screening representative biomarkers. Methods A total of 109 serum samples collected from January 2019 to December 2021 at the Brucellosis Clinic of the Baotou Center for Disease Control and Prevention were divided into acute phase group (n = 40), chronic phase group (n = 35) of brucellosis, and healthy group (n = 34) based on clinical diagnosis. Ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry technology was used to test serum samples and screen for differential metabolites. Receiver operating characteristic curve was used to evaluate the predictive ability of differential metabolites for brucellosis. Enriched pathways were screened using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway to identify metabolic pathways significantly affected. Results A total of 17 differential metabolites were screened between the acute phase group and the healthy group, and 12 differential metabolites were screened between the chronic phase group and the healthy group. There were a total of 5 differential metabolites (oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid) statistically significant among the three groups ( F = 16.84, 17.52, 14.31, 13.01, 20.76, P < 0.05). KEGG pathway analysis showed that the differential metabolites in the acute phase group were enriched in metabolic pathways such as ether lipid metabolism, glycerophosphate metabolism, sphingolipid signal and sphingolipid metabolism. The differential metabolites in the chronic phase group were enriched in metabolic pathways such as glycerophosphate metabolism, ether lipid metabolism, protein digestion and absorption metabolism. Conclusion Untargeted metabolomics methods can screen out serum small molecule metabolites that undergo changes after brucella infection in the human body, including oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid can serve as potential biomarkers to distinguish brucellosis patients from healthy people.
Objective To study the changes in serum small molecule metabolites after brucella infection in humans using untargeted metabolomics methods, and screening representative biomarkers. Methods A total of 109 serum samples collected from January 2019 to December 2021 at the Brucellosis Clinic of the Baotou Center for Disease Control and Prevention were divided into acute phase group (n = 40), chronic phase group (n = 35) of brucellosis, and healthy group (n = 34) based on clinical diagnosis. Ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry technology was used to test serum samples and screen for differential metabolites. Receiver operating characteristic curve was used to evaluate the predictive ability of differential metabolites for brucellosis. Enriched pathways were screened using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway to identify metabolic pathways significantly affected. Results A total of 17 differential metabolites were screened between the acute phase group and the healthy group, and 12 differential metabolites were screened between the chronic phase group and the healthy group. There were a total of 5 differential metabolites (oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid) statistically significant among the three groups ( F = 16.84, 17.52, 14.31, 13.01, 20.76, P < 0.05). KEGG pathway analysis showed that the differential metabolites in the acute phase group were enriched in metabolic pathways such as ether lipid metabolism, glycerophosphate metabolism, sphingolipid signal and sphingolipid metabolism. The differential metabolites in the chronic phase group were enriched in metabolic pathways such as glycerophosphate metabolism, ether lipid metabolism, protein digestion and absorption metabolism. Conclusion Untargeted metabolomics methods can screen out serum small molecule metabolites that undergo changes after brucella infection in the human body, including oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid can serve as potential biomarkers to distinguish brucellosis patients from healthy people.
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