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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.
Biomedical Chromatography ( IF 1.8 ) Pub Date : 2020-04-14 , DOI: 10.1002/bmc.4847
Ling-Kun Zhao 1 , Yun-Bo Zhao 2 , Peng-Cheng Yu 3 , Peng-Xia Zhang 1
Affiliation  

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.

中文翻译:

基于超高效液相色谱结合质谱与化学计量学方法的代谢组学方法,可对代谢物生物标志物进行高通量分析,以探索与心肌功能障碍相关的异常代谢途径。

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。识别代谢途径是了解疾病的发病机理和机制的关键。败血症(SMD)诱发的心肌功能障碍是脓毒性休克的严重并发症,是重症监护病房的主要死亡原因。但是其病理机制尚不清楚。在这项研究中,超高压液相色谱与基于质谱的代谢组学结合化学计量学分析和多变量模式识别分析被用于检测脂多糖诱导的SMD小鼠模型中尿代谢谱的变化。进行多变量统计分析,包括主成分分析和正交最小二乘最小二乘判别分析,以识别SMD,以识别潜在的生物标志物。通过基于高分辨率质谱的尿液代谢组学策略,共发现了19种差异代谢物。根据这些代谢物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,这些代谢途径的综合化学计量分析对于提取信息以发现有关疾病发病机理的新见解是必要的。通过基于高分辨率质谱的尿液代谢组学策略,共发现了19种差异代谢物。根据这些代谢物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,这些代谢途径的综合化学计量分析对于提取信息以发现有关疾病发病机理的新见解是必要的。通过基于高分辨率质谱的尿液代谢组学策略,共发现了19种差异代谢物。根据这些代谢物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分析对于提取信息以发现有关疾病发病机理的新见解是必要的。泛醌的生物合成和维生素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分析对于提取信息以发现有关疾病发病机理的新见解是必要的。泛醌的生物合成和维生素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分析对于提取信息以发现有关疾病发病机理的新见解是必要的。
更新日期:2020-04-14
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