Serum metabolomics as a novel diagnostic approach for disease: a systematic review

被引:207
作者
Zhang, Aihua [1 ,2 ]
Sun, Hui [1 ,2 ]
Wang, Xijun [1 ,2 ]
机构
[1] Key Pharmacometabol Platform Chinese Med, Natl TCM Key Lab Serum Pharmacochem, Harbin 150040, Peoples R China
[2] Heilongjiang Univ Chinese Med, Harbin 150040, Peoples R China
关键词
Metabolomics; System biology; Serum analysis; Metabolites; Biomarkers; Disease diagnostics; MASS-SPECTROMETRY; PATHWAYS ANALYSIS; BIOMARKERS; METABONOMICS; IDENTIFY; REVEALS; HEPATOTOXICITY; SPECTROSCOPY; TOXICITY; EXERCISE;
D O I
10.1007/s00216-012-6117-1
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Metabolomics is a promising "omics" field in systems biology; its objective is comprehensive analysis of low-molecular-weight endogenous metabolites in a biological sample. It could enable mapping of perturbations of early biochemical changes in diseases and hence provide an opportunity to develop predictive biomarkers that could result in earlier intervention and provide valuable insights into the mechanisms of diseases. Because of the possible discovery of clinically relevant biomarkers, metabolomics has potential advantages that routine approaches to clinical diagnosis do not. Monitoring specific metabolite levels in serum, the most commonly used biofluid in metabolomics, has become an important way of detecting the early stages of a disease. Serum is a readily accessible and informative biofluid, making it ideal for early detection of a wide range of diseases, and analysis of serum has several advantages over analysis of other biofluids. Metabolite profiles of serum can be regarded as important indicators of physiological and pathological states and may aid understanding of the mechanism of disease occurrence and progression on the metabolic level, and provide information enabling identification of early and differential metabolic markers of disease. Analysis of these crucial metabolites in serum has become important in monitoring the state of biological organisms and is widely used for diagnosis of disease. Emerging metabolomics will drive serum analysis, facilitate and improve the development of disease treatments, and provide great benefits for public health in the long-term.
引用
收藏
页码:1239 / 1245
页数:7
相关论文
共 60 条
  • [1] The correspondence problem for metabonomics datasets
    Aberg, K. Magnus
    Alm, Erik
    Torgrip, Ralf J. O.
    [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2009, 394 (01) : 151 - 162
  • [2] Analytical techniques for single-cell metabolomics: state of the art and trends
    Amantonico, Andrea
    Urban, Pawel L.
    Zenobi, Renato
    [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2010, 398 (06) : 2493 - 2504
  • [3] Marker metabolites can be therapeutic targets as well
    Arakaki, Adrian K.
    Skolnick, Jeffrey
    McDonald, John F.
    [J]. NATURE, 2008, 456 (7221) : 443 - 443
  • [4] Nuclear magnetic resonance-based metabolomics predicts exercise-induced ischemia in patients with suspected coronary artery disease
    Barba, Ignasi
    de Leon, Gustavo
    Martin, Eva
    Cuevas, Antonio
    Aguade, Santiago
    Candell-Riera, Jaume
    Barrabes, Jose A.
    Garcia-Dorado, David
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2008, 60 (01) : 27 - 32
  • [5] Feasibility of Identifying Pancreatic Cancer Based on Serum Metabolomics
    Bathe, Oliver F.
    Shaykhutdinov, Rustem
    Kopciuk, Karen
    Weljie, Aalim M.
    Mckay, Andrew
    Sutherland, Francis R.
    Dixon, Elijah
    Dunse, Nicole
    Sotiropoulos, Dina
    Vogel, Hans J.
    [J]. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2011, 20 (01) : 140 - 147
  • [6] A metabonomic investigation of hepatotoxicity using diffusion-edited 1H NMR spectroscopy of blood serum
    Beckwith-Hall, BM
    Thompson, NA
    Nicholson, JK
    Lindon, JC
    Holmes, E
    [J]. ANALYST, 2003, 128 (07) : 814 - 818
  • [7] Metabolomic NMR Fingerprinting to Identify and Predict Survival of Patients with Metastatic Colorectal Cancer
    Bertini, Ivano
    Cacciatore, Stefano
    Jensen, Benny V.
    Schou, Jakob V.
    Johansen, Julia S.
    Kruhoffer, Mogens
    Luchinat, Claudio
    Nielsen, Dorte L.
    Turano, Paola
    [J]. CANCER RESEARCH, 2012, 72 (01) : 356 - 364
  • [8] Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops
    Catchpole, GS
    Beckmann, M
    Enot, DP
    Mondhe, M
    Zywicki, B
    Taylor, J
    Hardy, N
    Smith, A
    King, RD
    Kell, DB
    Fiehn, O
    Draper, J
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (40) : 14458 - 14462
  • [9] Metabolomics reveals that hepatic stearoyl-CoA desaturase 1 downregulation exacerbates inflammation and acute colitis
    Chen, Chi
    Shah, Yatrik M.
    Morimura, Keiichirou
    Krausz, Kristopher W.
    Miyazaki, Makoto
    Richardson, Terrilyn A.
    Morgan, Edward T.
    Ntambi, James M.
    Idle, Jeffrey R.
    Gonzalez, Frank J.
    [J]. CELL METABOLISM, 2008, 7 (02) : 135 - 147
  • [10] Identification of serum biomarkers of hepatocarcinoma through liquid chromatography/mass spectrometry-based metabonomic method
    Chen, Feng
    Xue, Jihua
    Zhou, Linfu
    Wu, Shanshan
    Chen, Zhi
    [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2011, 401 (06) : 1899 - 1904