Fast targeted multidimensional NMR metabolomics of colorectal cancer

The study of small molecules in body fluids has become an important tool to monitor the state of biological organisms. Applications range from model studies using cell lines to applications where human body fluids are used to monitor disease states or drug responses. NMR spectroscopy has been an important tool for metabolomics although severe overlap of signals has limited the number of compounds, which can be unambiguously identified and quantified. Therefore, deconvolution of NMR spectra is one of the greatest challenges for NMR‐based metabolomics. This has commonly been achieved by using multidimensional spectra that have the disadvantage of requiring significantly longer acquisition times. Recently, a number of methods have been described to record NMR spectra much faster. Here, we explore the use of Hadamard‐encoded TOCSY spectra to simultaneously select multiple lines from crowded NMR spectra of blood serum samples to acquire pseudo‐two‐dimensional spectra in minutes which would otherwise require many hours. The potential of this approach is demonstrated for the detection of a signature for colorectal cancer from human blood samples. Copyright © 2009 John Wiley & Sons, Ltd.

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  Ian D. Wilson,et al.  HIGH RESOLUTION PROTON MAGNETIC RESONANCE SPECTROSCOPY OF BIOLOGICAL FLUIDS , 1989 .

[3]  S. Moss,et al.  RANDOMISED, CONTROLLED TRIAL OF FAECAL OCCULT BLOOD SCREENING FOR COLORECTAL CANCER Results for First 107 349 Subjects , 1989, The Lancet.

[4]  L M Schuman,et al.  Reducing mortality from colorectal cancer by screening for fecal occult blood. Minnesota Colon Cancer Control Study. , 1993, The New England journal of medicine.

[5]  A. J. Shaka,et al.  Water Suppression That Works. Excitation Sculpting Using Arbitrary Wave-Forms and Pulsed-Field Gradients , 1995 .

[6]  J. Olsen,et al.  Randomised study of screening for colorectal cancer with faecal-occult-blood test , 1996, The Lancet.

[7]  F Baganz,et al.  Systematic functional analysis of the yeast genome. , 1998, Trends in biotechnology.

[8]  Ludwig,et al.  NMRLAB-Advanced NMR data processing in matlab , 2000, Journal of magnetic resonance.

[9]  S. Thibodeau,et al.  Colorectal cancer screening by detection of altered human DNA in stool: feasibility of a multitarget assay panel. , 2000, Gastroenterology.

[10]  John C. Lindon,et al.  Pattern recognition methods and applications in biomedical magnetic resonance , 2001 .

[11]  D. Kell,et al.  A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations , 2001, Nature Biotechnology.

[12]  S. Goodman,et al.  Detecting colorectal cancer in stool with the use of multiple genetic targets. , 2001, Journal of the National Cancer Institute.

[13]  J. Nicholson,et al.  Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics , 2002, Nature Medicine.

[14]  Julian L Griffin,et al.  Metabonomics: NMR spectroscopy and pattern recognition analysis of body fluids and tissues for characterisation of xenobiotic toxicity and disease diagnosis. , 2003, Current opinion in chemical biology.

[15]  R. Freeman,et al.  Hadamard NMR Spectroscopy , 2003 .

[16]  George G Harrigan,et al.  Metabolic biomarker and kinase drug target discovery in cancer using stable isotope-based dynamic metabolic profiling (SIDMAP). , 2003, Current cancer drug targets.

[17]  E. Eigenbrodt,et al.  Faecal tumour M2 pyruvate kinase: a new, sensitive screening tool for colorectal cancer , 2004, British Journal of Cancer.

[18]  Jan van der Greef,et al.  Characterization of anti-inflammatory compounds using transcriptomics, proteomics, and metabolomics in combination with multivariate data analysis. , 2004, International immunopharmacology.

[19]  Daniel Raftery,et al.  Use of semiselective TOCSY and the pearson correlation for the metabonomic analysis of biofluid mixtures: application to urine. , 2005, Analytical chemistry.

[20]  George G Harrigan,et al.  Medicinal chemistry, metabolic profiling and drug target discovery: a role for metabolic profiling in reverse pharmacology and chemical genetics. , 2005, Mini reviews in medicinal chemistry.

[21]  Daniel Raftery,et al.  Use of selective TOCSY NMR experiments for quantifying minor components in complex mixtures: application to the metabonomics of amino acids in honey. , 2005, Analytical chemistry.

[22]  I. Wilson,et al.  Gut microorganisms, mammalian metabolism and personalized health care , 2005, Nature Reviews Microbiology.

[23]  D. Ward,et al.  Identification of serum biomarkers for colon cancer by proteomic analysis , 2006, British Journal of Cancer.

[24]  Julian L Griffin,et al.  Proton NMR analysis of plasma is a weak predictor of coronary artery disease , 2006, Nature Medicine.

[25]  O. Fiehn,et al.  Mass spectrometry-based metabolic profiling reveals different metabolite patterns in invasive ovarian carcinomas and ovarian borderline tumors. , 2006, Cancer research.

[26]  T. Ebbels,et al.  Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts , 2007, Nature Protocols.

[27]  Gerhard Wagner,et al.  Ultrahigh-resolution (1)H-(13)C HSQC spectra of metabolite mixtures using nonlinear sampling and forward maximum entropy reconstruction. , 2007, Journal of the American Chemical Society.

[28]  Tariq Ismail,et al.  Proteomic profiling of urine for the detection of colon cancer , 2008, Proteome Science.

[29]  Mark R Viant,et al.  Optimized metabolite extraction from blood serum for 1H nuclear magnetic resonance spectroscopy. , 2008, Analytical biochemistry.

[30]  Stefano Tiziani,et al.  Early stage diagnosis of oral cancer using 1H NMR-based metabolomics. , 2009, Neoplasia.

[31]  Rachel Cavill,et al.  Metabolic profiling of human colorectal cancer using high-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy and gas chromatography mass spectrometry (GC/MS). , 2009, Journal of proteome research.

[32]  Mark R Viant,et al.  International NMR-based environmental metabolomics intercomparison exercise. , 2009, Environmental science & technology.