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首页> 外文期刊>Journal of chromatography, B. Analytical technologies in the biomedical and life sciences >Urinary metabonomic study of patients with acute coronary syndrome using UPLC-QTOF/MS
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Urinary metabonomic study of patients with acute coronary syndrome using UPLC-QTOF/MS

机译:UPLC-QTOF / MS急性冠状动脉综合征患者的尿法研究

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This urinary metabonomic study aimed to identify the potential metabolic biomarkers in acute coronary syndrome (ACS) patients. Ultra-performance liquid chromatography/mass spectrometry (UPLC/MS) was used to analyze the urine samples from ACS patients and healthy controls. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were applied to characterizing the endogenous metabolites and potential biomarker, respectively. Among twenty biomarkers that functioned in nine metabolic pathways, nine biomarkers were found up-regulated significantly, including of isobutyryl?l?carnitine, 3?methylglutarylcarnitine, cinnavalininate,l?tryptophan, 3?methyldioxyindole, palmitic acid,N4?acetylaminobutanal, 3?sulfino?l?alanine andS?adenosyl?l?homocysteine. The other eleven biomarkers were showed down-regulated, including ofl?lactic acid, trigonelline, nicotinuric acid,l?alanine,d?alanyl?d?alanine, creatine,N4?acetylaminobutanoate, glutathionyl spermidine, 5?methoxytryptamine, kynurenic acid and xanthurenic acid. This study also implied that fatty acid metabolism, fatty acid β?oxidation metabolism, amino acid metabolism and TCA cycle played important roles in ACS. Therefore, urinary metabolomics may improve the diagnosis efficacy of ACS and make it more accurate and comprehensive for ACS diagnosis.
机译:这种泌尿性代谢学研究旨在鉴定急性冠状动脉综合征(ACS)患者中的潜在代谢生物标志物。超级性能液相色谱/质谱/质谱(UPLC / MS)用于分析ACS患者和健康对照的尿液样本。主要成分分析(PCA)和正交部分最小二乘判别分析(OPLS-DA)分别用于表征内源代谢物和潜在的生物标志物。在20种代谢途径中起二十个生物标志物中,九个生物标志物显着地发现,包括异丁酰基α1?肉碱,3?甲基戊碱,含辣椒碱,l?色氨酸,3?甲基二氧吲哚,棕榈酸,N 4?乙酰氨基丁醛,3?巯基?L?丙氨酸和α腺苷α1?同型糖基。另一个十一个生物标志物被揭示,包括α乳酸,三羊酸碱,烟酸,L?丙氨酸,D?丙酸酯,丙氨基丁酸,丙基氨基丁酸,5?甲氧基丙胺,蛋白磺酸和X硫酸酸。本研究还暗示脂肪酸代谢,脂肪酸β?氧化代谢,氨基酸代谢和TCA循环在ACS中起重要作用。因此,尿代谢组学可能会改善ACS的诊断效果,使ACS诊断更准确和全面。

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