title: Metabonomic signature analysis in plasma samples of glioma patients based on (1)H-nuclear magnetic resonance spectroscopy.
abstract: OBJECTIVE
  The presence of a glioma is associated with increasing mortality. In this study, nuclear magnetic resonance (NMR) based metabonomics has been applied to investigate the metabolic signatures of a glioma in plasma. The purpose of this study was to assess the diagnostic potential of this approach and gain novel insights into the metabolism of glioma and its systemic effects.
  
  
  METHODS
  Plasma samples were collected prospectively by centrifugation of blood samples from patients with a glioma (n = 70) or a control group (n = 70). NMR spectra of these plasma samples were analyzed using orthogonal partial least square discriminant analysis (OPLS-DA) to identify the potential biomarkers.
  
  
  RESULTS
  The OPLS-DA model showed a good differentiation between the glioma and the control groups. A total of 20 metabolites were identified, which are closely correlating with the presence of a glioma. Compared to the control group, patients with a glioma were associated with lower concentrations of isoleucine, leucine, valine, lactate, alanine, glycoprotein, glutamate, citrate, creatine, myo-inositol, choline, tyrosine, phenylalanine, 1-methylhistidine, α-glucose, β-glucose, and higher concentrations of very low density lipoprotein, low density lipoprotein (LDL), unsaturated lipid, and pyruvate. These 20 metabolites, which are involved in energy, fatty acid, and amino acid metabolism, may be associated with a human glioma.
  
  
  CONCLUSIONS
  Our study is the first one to identify the plasma metabolites that have the potential to distinguish between patients with a glioma and healthy subjects. NMR-based metabonomics provides a good sensitivity and selectivity in differentiating the healthy control group from patients suffering form the disease. Plasma metabolic profiling may have a potential in diagnosing a glioma in the early phase and may help in enhancing our understanding of its underlying mechanisms.
authors.forename: Alimujiang
authors.initials: A
authors.lastname: Kelimu
authors.forename: Rong
authors.initials: R
authors.lastname: Xie
authors.forename: Kuiming
authors.initials: K
authors.lastname: Zhang
authors.forename: Zhongwei
authors.initials: Z
authors.lastname: Zhuang
authors.forename: Batur
authors.initials: B
authors.lastname: Mamtimin
authors.affiliation: Department of Thoracic Surgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
authors.forename: Ilyar
authors.initials: I
authors.lastname: Sheyhidin
mesh_terms: D015415:Biomarkers / Q000097:blood; D001932:Brain Neoplasms / Q000097:blood* / Q000175:diagnosis / Q000378:metabolism; D016022:Case-Control Studies; D005910:Glioma / Q000097:blood* / Q000175:diagnosis / Q000378:metabolism; D006801:Humans; D009682:Magnetic Resonance Spectroscopy; D055432:Metabolomics
chemical_list: D015415:Biomarkers