Xiao Ying, Lu Jie, Xu Suyan, Wu Zhinian, Wang Wei, Ji Ru, Guo Tingyu, Qi Zeqiang, Tong Hua, Wang Yadong, Zhao Caiyan
Department of Infectious Diseases, Hebei Medical University Third Hospital, Shijiazhuang 050051, China.
Department of Clinical Laboratory, Hebei Medical University Third Hospital, Shijiazhuang 050051, China.
J Proteome Res. 2024 Dec 6;23(12):5352-5359. doi: 10.1021/acs.jproteome.4c00437. Epub 2024 Nov 1.
The hospitalization and mortality rates of patients gradually increase following the onset and progression of liver cirrhosis (LC). We aimed to help define clinical stage and better target interventions by detecting the expression of specific metabolites in patients with different stages of LC via Q Exactive hybrid quadrupole orbitrap mass spectrometry (UPLC-Q-Exactive) technology. This noninterventional observation case-control study involved 139 patients with LC or acute-on-chronic liver failure (ACLF) in a Chinese hospital between October 2022 and April 2023. Serum specimens were analyzed for multiple metabolite levels using UPLC-Q-Exactive. Data were processed to screen for differentially accumulated metabolites (DAMs). Short time-series expression miner (STEM) analysis and enrichment analysis were performed to assess cirrhosis progression biomarkers. Following univariate and multivariate analyses, a Venn diagram indicated nine significant DAMs in common among groups. STEM analysis showed 8'-hydroxyabscisic acid, HDCA, pyruvate-3-phosphate, indospicine, eplerenone, and DEHP as significant; their levels first peaked [Child-Turcotte-Pugh (CTP) class B peaked] and then decreased with CTP grade aggravation. Significant differences among 8'-hydroxyabscisic acid, eplerenone, and DEHP were observed among LC comorbidities and between subgroups. Therefore, serum levels of six DAMs may characterize metabolomic changes, determine the severity of LC, and predict the development of ACLF.
肝硬化(LC)发病及进展后,患者的住院率和死亡率逐渐上升。我们旨在通过采用Q Exactive混合型四极杆轨道阱质谱仪(超高效液相色谱- Q Exactive)技术检测不同阶段LC患者特定代谢物的表达,以帮助明确临床分期并更好地进行靶向干预。这项非干预性观察性病例对照研究纳入了2022年10月至2023年4月期间一家中国医院的139例LC或慢加急性肝衰竭(ACLF)患者。使用超高效液相色谱- Q Exactive分析血清标本中的多种代谢物水平。对数据进行处理以筛选差异累积代谢物(DAM)。进行短时间序列表达挖掘器(STEM)分析和富集分析以评估肝硬化进展生物标志物。经过单因素和多因素分析,维恩图显示各组间共有9种显著的DAM。STEM分析显示8'-羟基脱落酸、熊去氧胆酸、3-磷酸丙酮酸、相思豆碱、依普利酮和邻苯二甲酸二(2-乙基己基)酯具有显著性;它们的水平先达到峰值(Child-Turcotte-Pugh(CTP)B级达到峰值),然后随着CTP分级加重而下降。在LC合并症之间以及亚组之间观察到8'-羟基脱落酸、依普利酮和邻苯二甲酸二(2-乙基己基)酯存在显著差异。因此,6种DAM的血清水平可能表征代谢组学变化、确定LC的严重程度并预测ACLF的发展。