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Theory and applications of NMR-based metabolomics in human disease diagnosis

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Abstract
Metabolomics is a dynamic and emerging research field, joining proteomics, transcriptomics and genomics in affording a comprehensive understanding of biological systems and how these systems are affected by environmental stimuli and/or genetic modification. Metabolomics is particularly helpful for identifying biomarkers of disease processes such as the effects of a high fat diet on cardiovascular disease, providing insight into the interaction between genes and diet. Nuclear Magnetic Resonance (NMR) and Mass spectrometry (MS) are the most common analytical tools in metabolomics research. The high reproducibility of NMR-based techniques makes it superior to other analytical techniques especially in terms of searching for new and novel biomarkers in human diseases. Recently, NMR-based metabolomics approaches have been proposed as a promising and powerful technique for diagnosis of several human diseases. They have been used to investigate a wide range of diseases, through the examination of different kinds of human samples, including urine, blood plasma/serum, blister fluid, saliva, as well as intact tissue biopsies and tissue extracts. However, several factors can influence the metabolic balance within the human body and therefore in samples drawn from the body, including gender, age, fasting, diet, emotional stress, drug administration, physical activity and life style, thus complicating the use of NMR-based metabolomics approaches in diagnosing specific human disease. This chapter highlights the potential applications of NMR-based metabolomics approaches as a promising technique for diagnosis of human diseases.
Keywords
solvent suppression, TOCSY, HMBC, NMR, Biomarker, neurological diseases, cancer, MRS, metabonomics, metabolomics, metabolic profiling, metabolome, Lactate, Inflammatory diseases, human disease, diagnosis, HSQC, HRMAS, COSY

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Chicago
Emwas, Abdul-Hamid, Jasmeen Merzaban, and Hacene Serrai. 2015. “Theory and Applications of NMR-based Metabolomics in Human Disease Diagnosis.” In Applications of NMR Spectroscopy, Vol. 1, ed. Atta-ur-Rahman and M Iqbal Choudhary, 93–130. Oak Park, IL, USA: Bentham Science.
APA
Emwas, A.-H., Merzaban, J., & Serrai, H. (2015). Theory and applications of NMR-based metabolomics in human disease diagnosis. In Atta-ur-Rahman & M. I. Choudhary (Eds.), Applications of NMR spectroscopy, vol. 1 (pp. 93–130). Oak Park, IL, USA: Bentham Science.
Vancouver
1.
Emwas A-H, Merzaban J, Serrai H. Theory and applications of NMR-based metabolomics in human disease diagnosis. In: Atta-ur-Rahman, Choudhary MI, editors. Applications of NMR spectroscopy, vol. 1. Oak Park, IL, USA: Bentham Science; 2015. p. 93–130.
MLA
Emwas, Abdul-Hamid, Jasmeen Merzaban, and Hacene Serrai. “Theory and Applications of NMR-based Metabolomics in Human Disease Diagnosis.” Applications of NMR Spectroscopy, Vol. 1. Ed. Atta-ur-Rahman & M Iqbal Choudhary. Oak Park, IL, USA: Bentham Science, 2015. 93–130. Print.
@incollection{7053023,
  abstract     = {Metabolomics is a dynamic and emerging research field, joining proteomics, transcriptomics and genomics in affording a comprehensive understanding of biological systems and how these systems are affected by environmental stimuli and/or genetic modification. Metabolomics is particularly helpful for identifying biomarkers of disease processes such as the effects of a high fat diet on cardiovascular disease, providing insight into the interaction between genes and diet. Nuclear Magnetic Resonance (NMR) and Mass spectrometry (MS) are the most common analytical tools in metabolomics research. The high reproducibility of NMR-based techniques makes it superior to other analytical techniques especially in terms of searching for new and novel biomarkers in human diseases. Recently, NMR-based metabolomics approaches have been proposed as a promising and powerful technique for diagnosis of several human diseases. They have been used to investigate a wide range of diseases, through the examination of different kinds of human samples, including urine, blood plasma/serum, blister fluid, saliva, as well as intact tissue biopsies and tissue extracts. However, several factors can influence the metabolic balance within the human body and therefore in samples drawn from the body, including gender, age, fasting, diet, emotional stress, drug administration, physical activity and life style, thus complicating the use of NMR-based metabolomics approaches in diagnosing specific human disease. This chapter highlights the potential applications of NMR-based metabolomics approaches as a promising technique for diagnosis of human diseases.},
  author       = {Emwas, Abdul-Hamid and Merzaban, Jasmeen and Serrai, Hacene},
  booktitle    = {Applications of NMR spectroscopy, vol. 1},
  editor       = {Atta-ur-Rahman,   and Choudhary, M Iqbal},
  isbn         = {9781608059621},
  issn         = {2405-4674},
  keywords     = {solvent suppression,TOCSY,HMBC,NMR,Biomarker,neurological diseases,cancer,MRS,metabonomics,metabolomics,metabolic profiling,metabolome,Lactate,Inflammatory diseases,human disease,diagnosis,HSQC,HRMAS,COSY},
  language     = {eng},
  pages        = {93--130},
  publisher    = {Bentham Science},
  title        = {Theory and applications of NMR-based metabolomics in human disease diagnosis},
  url          = {http://ebooks.benthamscience.com/book/9781608059621/chapter/128304/},
  year         = {2015},
}