Can NMR solve some significant challenges in metabolomics?

被引:152
作者
Gowda, G. A. Nagana [1 ]
Raftery, Daniel [1 ,2 ,3 ]
机构
[1] Univ Washington, Northwest Metabol Res Ctr, Anesthesiol & Pain Med, Seattle, WA 98109 USA
[2] Univ Washington, Dept Chem, Seattle, WA 98195 USA
[3] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA
关键词
Metabolomics; Quantitation; Isotope tagging; Unknown metabolite identification; qNMR; Biomarker discovery; NUCLEAR-MAGNETIC-RESONANCE; OPTIMIZED STATISTICAL APPROACH; BIOMARKER DISCOVERY; MASS-SPECTROMETRY; WATER-SUPPRESSION; HUMAN URINE; METABOLITE IDENTIFICATION; SIGNAL ENHANCEMENT; COMPLEX-MIXTURES; H-1-NMR SPECTRA;
D O I
10.1016/j.jmr.2015.07.014
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The field of metabolomics continues to witness rapid growth driven by fundamental studies, methods development, and applications in a number of disciplines that include biomedical science, plant and nutrition sciences, drug development, energy and environmental sciences, toxicology, etc. NMR spectroscopy is one of the two most widely used analytical platforms in the metabolomics field, along with mass spectrometry (MS). NMR's excellent reproducibility and quantitative accuracy, its ability to identify structures of unknown metabolites, its capacity to generate metabolite profiles using intact biospecimens with no need for separation, and its capabilities for tracing metabolic pathways using isotope labeled substrates offer unique strengths for metabolomics applications. However, NMR's limited sensitivity and resolution continue to pose a major challenge and have restricted both the number and the quantitative accuracy of metabolites analyzed by NMR. Further, the analysis of highly complex biological samples has increased the demand for new methods with improved detection, better unknown identification, and more accurate quantitation of larger numbers of metabolites. Recent efforts have contributed significant improvements in these areas, and have thereby enhanced the pool of routinely quantifiable metabolites. Additionally, efforts focused on combining NMR and MS promise opportunities to exploit the combined strength of the two analytical platforms for direct comparison of the metabolite data, unknown identification and reliable biomarker discovery that continue to challenge the metabolomics field. This article presents our perspectives on the emerging trends in NMR-based metabolomics and NMR's continuing role in the field with an emphasis on recent and ongoing research from our laboratory. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:144 / 160
页数:17
相关论文
共 118 条
[1]  
Akiyama Kenji, 2008, In Silico Biology, V8, P339
[2]   Analytic Properties of Statistical Total Correlation Spectroscopy Based Information Recovery in 1H NMR Metabolic Data Sets [J].
Alves, Alexessander Couto ;
Rantalainen, Mattias ;
Holmes, Elaine ;
Nicholson, Jeremy K. ;
Ebbels, Timothy M. D. .
ANALYTICAL CHEMISTRY, 2009, 81 (06) :2075-2084
[3]   Identification of 4-deoxythreonic acid present in human urine using HPLC and NMR techniques [J].
Appiah-Amponsah, Emmanuel ;
Shanaiah, Narasimhamurthy ;
Gowda, G. A. Nagana ;
Owusu-Sarfo, Kwadwo ;
Ye, Tao ;
Raftery, Daniel .
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2009, 50 (05) :878-885
[4]   Increase in signal-to-noise ratio of >10,000 times in liquid-state NMR [J].
Ardenkjaer-Larsen, JH ;
Fridlund, B ;
Gram, A ;
Hansson, G ;
Hansson, L ;
Lerche, MH ;
Servin, R ;
Thaning, M ;
Golman, K .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (18) :10158-10163
[5]   Use of EDTA to minimize ionic strength dependent frequency shifts in the 1H NMR spectra of urine [J].
Asiago, Vincent M. ;
Gowda, G. A. Nagana ;
Zhang, Shucha ;
Shanaiah, Narasimhamurthy ;
Clark, Jason ;
Raftery, Daniel .
METABOLOMICS, 2008, 4 (04) :328-336
[6]   Early Detection of Recurrent Breast Cancer Using Metabolite Profiling [J].
Asiago, Vincent M. ;
Alvarado, Leiddy Z. ;
Shanaiah, Narasimhamurthy ;
Gowda, G. A. Nagana ;
Owusu-Sarfo, Kwadwo ;
Ballas, Robert A. ;
Raftery, Daniel .
CANCER RESEARCH, 2010, 70 (21) :8309-8318
[7]   Evidence of different metabolic phenotypes in humans [J].
Assfalg, Michael ;
Bertini, Ivano ;
Colangiuli, Donato ;
Luchinat, Claudio ;
Schaefer, Hartmut ;
Schuetz, Birk ;
Spraul, Manfred .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (05) :1420-1424
[8]   Saturation transfer double-difference NMR spectroscopy using a dual solenoid microcoil difference probe [J].
Bergeron, Scott J. ;
Henry, Ian D. ;
Santini, Robert E. ;
Aghdasi, Abdollah ;
Raftery, Daniel .
MAGNETIC RESONANCE IN CHEMISTRY, 2008, 46 (10) :925-929
[9]   Towards hyperpolarized 13C-succinate imaging of brain cancer [J].
Bhattacharya, Pratip ;
Chekmenev, Eduard Y. ;
Perman, William H. ;
Harris, Kent C. ;
Lin, Alexander P. ;
Norton, Valerie A. ;
Tan, Chou T. ;
Ross, Brian D. ;
Weitekamp, Daniel P. .
JOURNAL OF MAGNETIC RESONANCE, 2007, 186 (01) :150-155
[10]   Metabolomics Beyond Spectroscopic Databases: A Combined MS/NMR Strategy for the Rapid Identification of New Metabolites in Complex Mixtures [J].
Bingol, Kerem ;
Bruschweiler-Li, Lei ;
Yu, Cao ;
Somogyi, Arpad ;
Zhang, Fengli ;
Brueschweiler, Rafael .
ANALYTICAL CHEMISTRY, 2015, 87 (07) :3864-3870