Rapid Diagnosis and Prognosis of de novo Acute Myeloid Leukemia by Serum Metabonomic Analysis

被引:82
作者
Wang, Yihuang [1 ,2 ,3 ,6 ]
Zhang, Limin [4 ]
Chen, Wen-Lian [1 ,2 ,3 ]
Wang, Jing-Han [1 ,2 ,3 ]
Li, Ning [4 ]
Li, Jun-Min [1 ,2 ,3 ]
Mi, Jian-Qing [1 ,2 ,3 ]
Zhang, Wei-Na [1 ,2 ,3 ]
Li, Yang [1 ,2 ,3 ]
Wu, Song-Fang [1 ,2 ,3 ,6 ]
Jin, Jie [5 ]
Wang, Yun-Gui [5 ]
Huang, He [5 ]
Chen, Zhu [1 ,2 ,3 ,6 ]
Chen, Sai-Juan [1 ,2 ,3 ,6 ]
Tang, Huiru [4 ]
机构
[1] Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, State Key Lab Med Genom, Shanghai, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Shanghai, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Med, Shanghai Inst Hematol, Rui Jin Hosp, Shanghai 200030, Peoples R China
[4] Chinese Acad Sci, State Key Lab Magnet Resonance & Atom & Mol Phys, Key Lab Magnet Resonance Biol Syst, Ctr Biospect & Metabon,Wuhan Inst Phys & Math, Wuhan 430071, Peoples R China
[5] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Zhejiang Inst Hematol, Hangzhou 310003, Zhejiang, Peoples R China
[6] Shanghai Jiao Tong Univ, Shanghai Ctr Syst Biomed, Minist Educ, Key Lab Syst Biomed, Shanghai 200030, Peoples R China
基金
中国国家自然科学基金;
关键词
metabonomics; NMR; acute myeloid leukemia; diagnosis; prognosis; MAGNETIC-RESONANCE-SPECTROSCOPY; HUMAN HEPATOCELLULAR-CARCINOMA; SYSTEMS BIOLOGY; CANCER; H-1; METABOLISM; CLASSIFICATION; METFORMIN; GLUTAMINE; PROFILES;
D O I
10.1021/pr400403p
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Acute myeloid leukemia (AML) is a life-threatening hematological disease. Novel diagnostic and prognostic markers will be essential for new therapeutics and for significantly improving associated with AML and search for potential diagnostic and prognostic the disease prognosis. To characterize e metabolic features methods, here we analyzed the phenotypic characteristics of serum metabolite composition (metabonome) in a cohort of 183 patients with de novo acute myeloid leukemia together with 232 age- and gender-matched healthy controls using H-1 NMR spectroscopy in conjunction with multivariate data analysis. We observed significant serum metabonomic differences between AML patients and healthy controls and between AML patients favorable and intermediate cytogenetic risks. Such differences were highlighted by systems differentiations in multiple metabolic pathways including glycolysis/gluconeogenesis, TCA cycle, biosynthesis of proteins and lipoproteins, and metabolism of fatty acids and cell membrane components, especially choline and its phosphorylated derivatives. This demonstrated the NMR-based metabonomics as a rapid and less invasive method for potential AML diagnosis and prognosis. The serum metabolic phenotypes observed here indicated that integration of metabonomics with other techniques will be useful for better understanding the biochemistry of pathogenesis and progression of leukemia.
引用
收藏
页码:4393 / 4401
页数:9
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