摘要
采用核磁共振技术与统计学分析方法,结合尿液的生化指标,进行临床尿毒症尿样的代谢组学研究。结果表明,尿毒症患者和健康对照人群尿样的代谢轮廓存在明显差异,通过核磁共振氢谱鉴定出70种代谢物,其中20种具有显著差异。与健康人群相比,尿毒症患者尿液中2-羟基异丁酸、3-羟基丁酸、丙酮、丁酸、谷氨酸、肌氨酸、肌酐、赖氨酸、N,N-二甲基组氨酸、柠檬酸、天冬酰胺、乙醇和乙醇胺的含量明显偏低,而支链氨基酸(包括亮氨酸、缬氨酸、异亮氨酸)、牛磺酸、乳酸、α-葡萄糖和β-葡萄糖的含量明显偏高。这些代谢物涉及氨基酸代谢、能量代谢和脂质代谢中的多条代谢途径,可作为尿毒症代谢影响的潜在的生物标志物,有助于理解尿毒症发病的生化机制。
At present,little is known about metabolic mechanism of uremia.In this study,uremia was investigated by combination of NMR spectroscopy,statistical analysis and urinary biochemical assays to provide the basis of the metabolic characteristics of uremia.The characteristic metabolites of uremia were identified from the urine of the uremia patients.The results showed that the urinary levels of 2-hydroxyisobutyrate,3-hydroxybutyrate,acetone,butyrate,glutamate,sarcosine,creatinine,lysine,N,N-dimethylglycine,citrate,asparagine,ethanol and ethanolamine were reduced,while the urinary levels of branched-chain amino acids(including leucine,valine and isoleucine),taurine,lactate and glucose were higher in uremia patients than that in the healthy subjects.The corresponding disturbed metabolic pathways were derived from the characteristic metabolites,in which amino acid,energy and lipid metabolisms were involved.The specific characteristic metabolites will help to understand the underlying biochemical mechanisms of the onset of uremia.
作者
王振召
魏斌斌
陈峥
诸宏伟
沈桂平
冯江华
WANG Zhen-Zhao;WEI Bin-Bin;CHEN Zheng;ZHU Hong-Wei;SHEN Gui-Ping;FENG Jiang-Hua(Department of Electronic Science,Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance,Xiamen University,Xiamen 361005,China;The First Affiliated Hospital of Bengbu Medical College,Bengbu 233004,China)
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2018年第9期1415-1423,共9页
Chinese Journal of Analytical Chemistry
基金
本文系国家自然科学基金项目(Nos.31671920,81272581)资助。
关键词
核磁共振
代谢组学
尿毒症
统计学分析
代谢通路分析
Nuclear magnetic resonance
Metabonomics
Uremia
Statistical analysis
Metabolic pathway analysis
