title: Rapid diagnosis and prognosis of de novo acute myeloid leukemia by serum metabonomic analysis.
abstract: 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 the disease prognosis. To characterize the metabolic features associated with AML and search for potential diagnostic and prognostic 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 (1)H NMR spectroscopy in conjunction with multivariate data analysis. We observed significant serum metabonomic differences between AML patients and healthy controls and between AML patients with 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.
authors.affiliation: State Key Laboratory of Medical Genomics, Institute of Health Sciences, Shanghai Institutes for Biological Sciences and Graduate School, Chinese Academy of Sciences and Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University School of Medicine , Shanghai, China.
authors.forename: Yihuang
authors.initials: Y
authors.lastname: Wang
authors.forename: Limin
authors.initials: L
authors.lastname: Zhang
authors.forename: Wen-Lian
authors.initials: WL
authors.lastname: Chen
authors.forename: Jing-Han
authors.initials: JH
authors.lastname: Wang
authors.forename: Ning
authors.initials: N
authors.lastname: Li
authors.forename: Jun-Min
authors.initials: JM
authors.lastname: Li
authors.forename: Jian-Qing
authors.initials: JQ
authors.lastname: Mi
authors.forename: Wei-Na
authors.initials: WN
authors.lastname: Zhang
authors.forename: Yang
authors.initials: Y
authors.lastname: Li
authors.forename: Song-Fang
authors.initials: SF
authors.lastname: Wu
authors.forename: Jie
authors.initials: J
authors.lastname: Jin
authors.forename: Yun-Gui
authors.initials: YG
authors.lastname: Wang
authors.forename: He
authors.initials: H
authors.lastname: Huang
authors.forename: Zhu
authors.initials: Z
authors.lastname: Chen
authors.forename: Sai-Juan
authors.initials: SJ
authors.lastname: Chen
authors.forename: Huiru
authors.initials: H
authors.lastname: Tang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000097:blood*; D016022:Case-Control Studies; D005260:Female; D006801:Humans; D015470:Leukemia, Myeloid, Acute / Q000097:blood* / Q000175:diagnosis; D008297:Male; D053858:Metabolic Networks and Pathways; D055442:Metabolome; D055432:Metabolomics; D008875:Middle Aged; D015999:Multivariate Analysis; D011379:Prognosis; D055815:Young Adult
chemical_list: D014408:Biomarkers, Tumor