Literature DB >> 15204308

Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis.

John C Lindon1, Elaine Holmes, Mary E Bollard, Elizabeth G Stanley, Jeremy K Nicholson.   

Abstract

In this review, metabonomics, a combination of data-rich analytical chemical measurements and chemometrics for profiling metabolism in complex systems, is described and its applications are reviewed. Metabonomics is typically carried out using biofluids or tissue samples. The relevance of the technique is reviewed in relation to other '-omics', and it is shown how the methods can be applied to physiological evaluation, drug safety assessment, characterization of genetically modified animal models of disease, diagnosis of human disease, and drug therapy monitoring. The different types of analytical data, mainly from nuclear magnetic resonance spectroscopy and mass spectrometry, are summarized. The outputs from a metabonomics study allow sample classification, for example according to phenotype, drug safety or disease diagnosis, and interpretation of the reasons for classification yields information on combination biomarkers of effect. Transcriptomic and metabonomic data is currently being further integrated into a holistic understanding of systems biology. An assessment of the possible future role and impact of metabonomics is presented.

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Year:  2004        PMID: 15204308     DOI: 10.1080/13547500410001668379

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  74 in total

1.  Tissue targeted metabonomics: metabolic profiling by microdialysis sampling and microcoil NMR.

Authors:  Kristin E Price; Shannon S Vandaveer; Craig E Lunte; Cynthia K Larive
Journal:  J Pharm Biomed Anal       Date:  2005-08-10       Impact factor: 3.935

2.  Diagnosing diabetic nephropathy by 1H NMR metabonomics of serum.

Authors:  Ville-Petteri Mäkinen; Pasi Soininen; Carol Forsblom; Maija Parkkonen; Petri Ingman; Kimmo Kaski; Per-Henrik Groop; Mika Ala-Korpela
Journal:  MAGMA       Date:  2006-12-15       Impact factor: 2.310

Review 3.  Metabonomics techniques and applications to pharmaceutical research & development.

Authors:  John C Lindon; Elaine Holmes; Jeremy K Nicholson
Journal:  Pharm Res       Date:  2006-05-25       Impact factor: 4.200

4.  Individual variation in macronutrient regulation measured by proton magnetic resonance spectroscopy of human plasma.

Authors:  Youngja Park; Seoung Bum Kim; Bing Wang; Roberto A Blanco; Ngoc-Anh Le; Shaoxiong Wu; Carolyn J Accardi; R Wayne Alexander; Thomas R Ziegler; Dean P Jones
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2009-05-20       Impact factor: 3.619

Review 5.  The emerging field of quantitative blood metabolomics for biomarker discovery in critical illnesses.

Authors:  Natalie J Serkova; Theodore J Standiford; Kathleen A Stringer
Journal:  Am J Respir Crit Care Med       Date:  2011-06-16       Impact factor: 21.405

Review 6.  TFOS DEWS II Tear Film Report.

Authors:  Mark D P Willcox; Pablo Argüeso; Georgi A Georgiev; Juha M Holopainen; Gordon W Laurie; Tom J Millar; Eric B Papas; Jannick P Rolland; Tannin A Schmidt; Ulrike Stahl; Tatiana Suarez; Lakshman N Subbaraman; Omür Ö Uçakhan; Lyndon Jones
Journal:  Ocul Surf       Date:  2017-07-20       Impact factor: 5.033

7.  Miniaturized 1H-NMR method for analyzing limited-quantity samples applied to a mouse model of Leigh disease.

Authors:  Shayne Mason; Karin Terburgh; Roan Louw
Journal:  Metabolomics       Date:  2018-05-21       Impact factor: 4.290

Review 8.  Early detection of diabetic kidney disease: Present limitations and future perspectives.

Authors:  Chih-Hung Lin; Yi-Cheng Chang; Lee-Ming Chuang
Journal:  World J Diabetes       Date:  2016-07-25

9.  Protein Bioinformatics Infrastructure for the Integration and Analysis of Multiple High-Throughput "omics" Data.

Authors:  Chuming Chen; Peter B McGarvey; Hongzhan Huang; Cathy H Wu
Journal:  Adv Bioinformatics       Date:  2010-03-29

10.  Medium chain acylcarnitines dominate the metabolite pattern in humans under moderate intensity exercise and support lipid oxidation.

Authors:  Rainer Lehmann; Xinjie Zhao; Cora Weigert; Perikles Simon; Elvira Fehrenbach; Jens Fritsche; Jürgen Machann; Fritz Schick; Jiangshan Wang; Miriam Hoene; Erwin D Schleicher; Hans-Ulrich Häring; Guowang Xu; Andreas M Niess
Journal:  PLoS One       Date:  2010-07-12       Impact factor: 3.240

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