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基于超高效液相色谱与质谱联用的代谢组学方法结合化学计量学方法进行高通量分析代谢标志物,以探讨与心肌功能障碍相关的异常代谢途径。

Metabolomics approach based on utra-performance liquid chromatography coupled to mass spectrometry with chemometrics methods for high-throughput analysis of metabolite biomarkers to explore the abnormal metabolic pathways associated with myocardial dysfunction.

机构信息

School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, China.

First Affiliated Hospital, Jiamusi University, Xiangyang District, Heilongjiang, China.

出版信息

Biomed Chromatogr. 2020 Aug;34(8):e4847. doi: 10.1002/bmc.4847. Epub 2020 May 4.

Abstract

Ultra-performance liquid chromatography/mass spectrometry-based metabolomics can been used for discovery of metabolite biomarkers to explore the metabolic pathway of diseases. Identification of metabolic pathways is key to understanding the pathogenesis and mechanism of disease. Myocardial dysfunction induced by sepsis (SMD) is a severe complication of septic shock and represents major causes of death in intensive care units; however its pathological mechanism is still not clear. In this study, ultrahigh-pressure liquid chromatography with mass spectrometry-based metabolomics with chemometrics anaylsis and multivariate pattern recognition analysis were used to detect urinary metabolic profile changes in a lipopolysaccharide-induced SMD mouse model. Multivariate statistical analysis including principal component analysis and orthogonapartial least squares discriminant analysis for the discrimination of SMD was conducted to identify potential biomarkers. A total of 19 differential metabolites were discovered by high-resolution mass spectrometry-based urinary metabolomics strategy. The altered biochemical pathways based on these metabolites showed that tyrosine metabolism, phenylalanine metabolism, ubiquinone biosynthesis and vitamin B6 metabolism were closely connected to the pathological processes of SMD. Consequently, integrated chemometric analyses of these metabolic pathways are necessary to extract information for the discovery of novel insights into the pathogenesis of disease.

摘要

基于超高效液相色谱/质谱的代谢组学可用于发现代谢物生物标志物,以探索疾病的代谢途径。鉴定代谢途径是理解疾病发病机制和机制的关键。脓毒症引起的心肌功能障碍(SMD)是脓毒性休克的严重并发症,是重症监护病房死亡的主要原因,但其病理机制尚不清楚。在这项研究中,采用基于超高液相色谱-质谱的代谢组学、化学计量学分析和多元模式识别分析,检测脂多糖诱导的 SMD 小鼠模型的尿代谢谱变化。采用主成分分析和正交偏最小二乘判别分析等多变量统计分析方法对 SMD 进行判别分析,以识别潜在的生物标志物。通过基于高分辨率质谱的尿代谢组学策略发现了 19 种差异代谢物。基于这些代谢物的改变的生化途径表明,酪氨酸代谢、苯丙氨酸代谢、泛醌生物合成和维生素 B6 代谢与 SMD 的病理过程密切相关。因此,对这些代谢途径进行综合化学计量学分析对于提取疾病发病机制的新见解的信息是必要的。

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