NMR-based metabolomics in human disease diagnosis: Applications, limitations, and recommendations

Handle URI:
http://hdl.handle.net/10754/566003
Title:
NMR-based metabolomics in human disease diagnosis: Applications, limitations, and recommendations
Authors:
Emwas, Abdul-Hamid M.; Salek, Reza M.; Griffin, Julian L.; Merzaban, Jasmeen S. ( 0000-0002-7276-2907 )
Abstract:
Metabolomics is a dynamic and emerging research field, similar to proteomics, transcriptomics and genomics in affording global understanding of biological systems. It is particularly useful in functional genomic studies in which metabolism is thought to be perturbed. Metabolomics provides a snapshot of the metabolic dynamics that reflect the response of living systems to both pathophysiological stimuli and/or genetic modification. Because this approach makes possible the examination of interactions between an organism and its diet or environment, it is particularly useful for identifying biomarkers of disease processes that involve the environment. For example, the interaction of a high fat diet with cardiovascular disease can be studied via such a metabolomics approach by modeling the interaction between genes and diet. The high reproducibility of NMR-based techniques gives this method a number of advantages over other analytical techniques in large-scale and long-term metabolomic studies, such as epidemiological studies. This approach has been used to study a wide range of diseases, through the examination of biofluids, including blood plasma/serum, urine, blister fluid, saliva and semen, as well as tissue extracts and intact tissue biopsies. However, complicating the use of NMR spectroscopy in biomarker discovery is the fact that numerous variables can effect metabolic composition including, fasting, stress, drug administration, diet, gender, age, physical activity, life style and the subject's health condition. To minimize the influence of these variations in the datasets, all experimental conditions including sample collection, storage, preparation as well as NMR spectroscopic parameters and data analysis should be optimized carefully and conducted in an identical manner as described by the local standard operating protocol. This review highlights the potential applications of NMR-based metabolomics studies and gives some recommendations to improve sample collection, sample preparation and data analysis in using this approach. © 2013 Springer Science+Business Media New York.
KAUST Department:
Imaging and Characterization Core Lab; Biological and Environmental Sciences and Engineering (BESE) Division; Bioscience Program; Advanced Nanofabrication, Imaging and Characterization Core Lab
Publisher:
Springer Nature
Journal:
Metabolomics
Issue Date:
3-Apr-2013
DOI:
10.1007/s11306-013-0524-y
Type:
Article
ISSN:
15733882
Sponsors:
We thank Dr. Virginia Unkefer and Dr. Zeyad Al-Talla from KAUST for their assistance and helpful remarks. Work in JLG's laboratory is funded by the BBSRC (MetaboLights) and the MRC (UD99999906).
Appears in Collections:
Articles; Bioscience Program; Advanced Nanofabrication, Imaging and Characterization Core Lab; Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorEmwas, Abdul-Hamid M.en
dc.contributor.authorSalek, Reza M.en
dc.contributor.authorGriffin, Julian L.en
dc.contributor.authorMerzaban, Jasmeen S.en
dc.date.accessioned2015-08-12T08:58:58Zen
dc.date.available2015-08-12T08:58:58Zen
dc.date.issued2013-04-03en
dc.identifier.issn15733882en
dc.identifier.doi10.1007/s11306-013-0524-yen
dc.identifier.urihttp://hdl.handle.net/10754/566003en
dc.description.abstractMetabolomics is a dynamic and emerging research field, similar to proteomics, transcriptomics and genomics in affording global understanding of biological systems. It is particularly useful in functional genomic studies in which metabolism is thought to be perturbed. Metabolomics provides a snapshot of the metabolic dynamics that reflect the response of living systems to both pathophysiological stimuli and/or genetic modification. Because this approach makes possible the examination of interactions between an organism and its diet or environment, it is particularly useful for identifying biomarkers of disease processes that involve the environment. For example, the interaction of a high fat diet with cardiovascular disease can be studied via such a metabolomics approach by modeling the interaction between genes and diet. The high reproducibility of NMR-based techniques gives this method a number of advantages over other analytical techniques in large-scale and long-term metabolomic studies, such as epidemiological studies. This approach has been used to study a wide range of diseases, through the examination of biofluids, including blood plasma/serum, urine, blister fluid, saliva and semen, as well as tissue extracts and intact tissue biopsies. However, complicating the use of NMR spectroscopy in biomarker discovery is the fact that numerous variables can effect metabolic composition including, fasting, stress, drug administration, diet, gender, age, physical activity, life style and the subject's health condition. To minimize the influence of these variations in the datasets, all experimental conditions including sample collection, storage, preparation as well as NMR spectroscopic parameters and data analysis should be optimized carefully and conducted in an identical manner as described by the local standard operating protocol. This review highlights the potential applications of NMR-based metabolomics studies and gives some recommendations to improve sample collection, sample preparation and data analysis in using this approach. © 2013 Springer Science+Business Media New York.en
dc.description.sponsorshipWe thank Dr. Virginia Unkefer and Dr. Zeyad Al-Talla from KAUST for their assistance and helpful remarks. Work in JLG's laboratory is funded by the BBSRC (MetaboLights) and the MRC (UD99999906).en
dc.publisherSpringer Natureen
dc.subjectBiomarkersen
dc.subjectDiagnosisen
dc.subjectMetabolic fingerprintingen
dc.subjectMetabolomicsen
dc.subjectMetabonomicsen
dc.subjectNMR spectroscopyen
dc.subjectPrognosisen
dc.titleNMR-based metabolomics in human disease diagnosis: Applications, limitations, and recommendationsen
dc.typeArticleen
dc.contributor.departmentImaging and Characterization Core Laben
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentBioscience Programen
dc.contributor.departmentAdvanced Nanofabrication, Imaging and Characterization Core Laben
dc.identifier.journalMetabolomicsen
dc.contributor.institutionDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdomen
dc.contributor.institutionMedical Research Council Human Nutrition Research, Cambridge, United Kingdomen
dc.contributor.institutionEuropean Bioinformatics Institute Wellcome Trust Genome Campus, Hinxton Cambridge, Saffron Walden, United Kingdomen
kaust.authorEmwas, Abdul-Hamid M.en
kaust.authorMerzaban, Jasmeen S.en
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