Literature DB >> 18240906

Application of metabonomics in drug development.

Hector C Keun1, Toby J Athersuch.   

Abstract

Metabolic profiling (metabonomics/metabolomics) is the untargeted analysis of metabolic composition in a biological sample, and is principally aimed at biomarker discovery. The frequent use of noninvasive biofluid analysis in metabonomics is suited to the clinic and facilitates dynamic monitoring. Analytical protocols for metabolic biomarkers are potentially robust because a metabolite is the same chemical entity irrespective of its origin, facilitating 'bench-to-bedside' translational research. Metabonomics can make an impact at several points in the drug-development process: target identification; lead discovery and optimization; preclinical efficacy and safety assessment; mode-of-action and mechanistic toxicology; patient stratification; and clinical pharmacological monitoring. This review describes and exemplifies the latest developments in each of these areas, including the impact of new data and chemical analytical techniques. The future goals for metabonomics are the validation of existing biomarkers, in terms of mechanism and translation to man, together with a focus on characterizing the individual ('personalized healthcare').

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Year:  2007        PMID: 18240906     DOI: 10.2217/14622416.8.7.731

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  9 in total

1.  Characterization of low molecular weight chemical fractions of dry bean (Phaseolus vulgaris) for bioactivity using Caenorhabditis elegans longevity and metabolite fingerprinting.

Authors:  Meghan M Mensack; Vanessa K Fitzgerald; Matthew R Lewis; Henry J Thompson
Journal:  J Agric Food Chem       Date:  2010-06-09       Impact factor: 5.279

2.  Human urinary metabolomic profile of PPARalpha induced fatty acid beta-oxidation.

Authors:  Andrew D Patterson; Ondrej Slanar; Kristopher W Krausz; Fei Li; Constance C Höfer; Frantisek Perlík; Frank J Gonzalez; Jeffrey R Idle
Journal:  J Proteome Res       Date:  2009-09       Impact factor: 4.466

3.  The application of micro-coil NMR probe technology to metabolomics of urine and serum.

Authors:  John H Grimes; Thomas M O'Connell
Journal:  J Biomol NMR       Date:  2011-03-06       Impact factor: 2.835

Review 4.  Advances in NMR-based biofluid analysis and metabolite profiling.

Authors:  Shucha Zhang; G A Nagana Gowda; Tao Ye; Daniel Raftery
Journal:  Analyst       Date:  2010-04-09       Impact factor: 4.616

5.  Metabolomic profiling can predict which humans will develop liver dysfunction when deprived of dietary choline.

Authors:  Wei Sha; Kerry-Ann da Costa; Leslie M Fischer; Michael V Milburn; Kay A Lawton; Alvin Berger; Wei Jia; Steven H Zeisel
Journal:  FASEB J       Date:  2010-04-06       Impact factor: 5.191

6.  Multivariate evaluation of pharmacological responses in early clinical trials - a study of rIL-21 in the treatment of patients with metastatic melanoma.

Authors:  Morten Arendt Rasmussen; Morten Colding-Jørgensen; Lasse Tengbjerg Hansen; Rasmus Bro
Journal:  Br J Clin Pharmacol       Date:  2010-04       Impact factor: 4.335

7.  Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in Rats.

Authors:  Maria-Louisa Izamis; Korkut Uygun; Nripen S Sharma; Basak Uygun; Martin L Yarmush; Francois Berthiaume
Journal:  Metabolites       Date:  2012-07-16

8.  Ca2+ effects on glucose transport and fatty acid oxidation in L6 skeletal muscle cell cultures.

Authors:  Darrick Balu; Jiangyong Ouyang; Rahulkumar A Parakhia; Saumitra Pitake; Raymond S Ochs
Journal:  Biochem Biophys Rep       Date:  2016-01-13

9.  Metabolomic approach to evaluating adriamycin pharmacodynamics and resistance in breast cancer cells.

Authors:  Bei Cao; Mengjie Li; Weibin Zha; Qijin Zhao; Rongrong Gu; Linsheng Liu; Jian Shi; Jun Zhou; Fang Zhou; Xiaolan Wu; Zimei Wu; Guangji Wang; Jiye Aa
Journal:  Metabolomics       Date:  2013-03-20       Impact factor: 4.290

  9 in total

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