Application of (1)h NMR spectroscopy-based metabolomics to sera of tuberculosis patients.
Application of (1)h NMR spectroscopy-based metabolomics to sera of tuberculosis patients.
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DOI：
10.1021/pr4007359
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发表时间：
2013-10-04
影响因子：
4.4
通讯作者：
Yao YF
中科院分区：
文献类型：
--
作者：
Zhou A;Ni J;Xu Z;Wang Y;Lu S;Sha W;Karakousis PC;Yao YF
核磁共振（NMR）光谱法是生物流体代谢分析的理想平台，因为它具有高重现性、无损性、代谢物检测无选择性，以及能够同时对多种代谢物进行定量分析的能力。结核病（TB）是一种慢性消耗性炎症疾病，其特征为多系统受累，可导致患病患者出现代谢紊乱。在本研究中，我们将多元模式识别（PR）分析技术与氢-1核磁共振（1H NMR）光谱法相结合，以探究结核病患者血清的代谢谱。共对77份血清样本进行了研究，其中结核病患者38例，健康对照39例。正交偏最小二乘法判别分析（OPLS - DA）能够区分结核病患者和健康对照，并建立结核病特异性代谢物谱。两组之间共有17种代谢物的浓度存在显著差异。与健康对照相比，结核病患者血清样本的特征为1 - 甲基组氨酸、乙酰乙酸、丙酮、谷氨酸、谷氨酰胺、异亮氨酸、乳酸、赖氨酸、烟酸、苯丙氨酸、丙酮酸和酪氨酸浓度升高，同时丙氨酸、甲酸、甘氨酸、甘油磷酰胆碱和低密度脂蛋白浓度降低。我们的研究揭示了结核病患者血清的代谢谱，并表明基于核磁共振的方法能够区分结核病患者和健康对照。基于核磁共振的代谢组学有潜力发展成为一种用于结核病诊断和/或治疗监测的新型临床工具，有助于增进对疾病机制的理解。
Nuclear magnetic resonance (NMR) spectroscopy is an ideal platform for the metabolic analysis of biofluids, due to its high reproducibility, non-destructiveness, non-selectivity in metabolite detection, and the ability to simultaneously quantify multiple classes of metabolites. Tuberculosis (TB) is a chronic wasting inflammatory disease characterized by multi-system involvement, which can cause metabolic derangements in afflicted patients. In this study, we combined multivariate pattern recognition (PR) analytical techniques with 1H NMR spectroscopy to explore the metabolic profile of sera from TB patients. A total of seventy-seven serum samples obtained from patients with TB (n=38) and healthy controls (n=39) were investigated. Orthogonal partial least-squares discriminant analysis (OPLS-DA) was capable of distinguishing TB patients from controls, and establishing a TB-specific metabolite profile. A total of 17 metabolites differed significantly in concentration between the two groups. Serum samples from TB patients were characterized by increased concentrations of 1-methylhistidine, acetoacetate, acetone, glutamate, glutamine, isoleucine, lactate, lysine, nicotinate, phenylalanine, pyruvate, and tyrosine, accompanied by reduced concentrations of alanine, formate, glycine, glycerolphosphocholine, and low-density lipoproteins relative to control subjects. Our study reveals the metabolic profile of sera from TB patients and indicates that NMR-based methods can distinguish TB patients from healthy controls. NMR-based metabolomics has the potential to be developed into a novel clinical tool for TB diagnosis and/or therapeutic monitoring, and could contribute to an improved understanding of disease mechanisms.
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