Department of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Sci Rep. 2023 Jan 11;13(1):585. doi: 10.1038/s41598-022-24878-z.
The purpose of our study was to explore potential characteristic biomarkers in patients with sepsis. Peripheral blood specimens from sepsis patients and normal human volunteers were processed by liquid chromatography-mass spectrometry-based analysis. Outlier data were excluded by principal component analysis and orthogonal partial least squares-discriminant analysis using the metabolomics R software package metaX and MetaboAnalyst 5.0 ( https://www.metaboanalyst.ca/home.xhtml ) online analysis software, and differential metabolite counts were identified by using volcano and heatmaps. The obtained differential metabolites were combined with KEGG (Kyoto Gene and Kyoto Encyclopedia) analysis to screen out potential core differential metabolites, and ROC curves were drawn to analyze the changes in serum metabolites in sepsis patients and to explore the potential value of the metabolites in the diagnosis of sepsis patients. By metabolomic analysis, nine differential metabolites were screened for their significance in guiding the diagnosis and differential diagnosis of sepsis namely: 3-phenyl lactic acid, N-phenylacetylglutamine, phenylethylamine, traumatin, xanthine, methyl jasmonate, indole, l-tryptophan and 1107116. In this study, nine metabolites were finally screened based on metabolomic analysis and used as potential characteristic biomarkers for the diagnosis of sepsis.
我们的研究目的是探索脓毒症患者潜在的特征性生物标志物。采用基于液相色谱-质谱的分析方法对脓毒症患者和正常人类志愿者的外周血标本进行处理。使用代谢组学 R 软件包 metaX 和在线分析软件 MetaboAnalyst 5.0（https://www.metaboanalyst.ca/home.xhtml）通过主成分分析和正交偏最小二乘判别分析排除离群数据，通过火山图和热图鉴定差异代谢物计数。将获得的差异代谢物与 KEGG（京都基因和京都百科全书）分析相结合，筛选出潜在的核心差异代谢物，并绘制 ROC 曲线，分析脓毒症患者血清代谢物的变化，探讨代谢物在诊断脓毒症患者中的潜在价值。通过代谢组学分析，筛选出 9 种差异代谢物对脓毒症的诊断和鉴别诊断具有重要意义，即：3-苯乳酸、N-苯乙酰谷氨酰胺、苯乙胺、创伤素、黄嘌呤、茉莉酸甲酯、吲哚、色氨酸和 1107116。在这项研究中，最终基于代谢组学分析筛选出 9 种代谢物作为脓毒症诊断的潜在特征性生物标志物。
