Literature DB >> 17298438

Metabonomics in pharmaceutical R&D.

John C Lindon1, Elaine Holmes, Jeremy K Nicholson.   

Abstract

This minireview is based on a lecture given at the First Maga Circe Conference on metabolomics held at Sabaudia, Italy, in March 2006 in which the analytical and statistical techniques used in metabonomics, efforts at standardization and some of the major applications to pharmaceutical research and development are reviewed. Metabonomics involves the determination of multiple metabolites simultaneously in biofluids, tissues and tissue extracts. Applications to preclinical drug safety studies are illustrated by the Consortium for Metabonomic Toxicology, a collaboration involving several major pharmaceutical companies. This consortium was able, through the measurement of a dataset of NMR spectra of rodent urine and serum samples, to build a predictive expert system for liver and kidney toxicity. A secondary benefit was the elucidation of the endogenous biochemicals responsible for the classification. The use of metabonomics in disease diagnosis and therapy monitoring is discussed with an exemplification from coronary artery disease, and the concept of pharmaco-metabonomics as a way of predicting an individual's response to treatment is exemplified. Finally, some advantages and perceived difficulties of the metabonomics approach are summarized.

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Year:  2007        PMID: 17298438     DOI: 10.1111/j.1742-4658.2007.05673.x

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  59 in total

1.  Global metabolic profiling procedures for urine using UPLC-MS.

Authors:  Elizabeth J Want; Ian D Wilson; Helen Gika; Georgios Theodoridis; Robert S Plumb; John Shockcor; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2010-06       Impact factor: 13.491

2.  State-of-the art data normalization methods improve NMR-based metabolomic analysis.

Authors:  Stefanie M Kohl; Matthias S Klein; Jochen Hochrein; Peter J Oefner; Rainer Spang; Wolfram Gronwald
Journal:  Metabolomics       Date:  2011-08-12       Impact factor: 4.290

3.  Metabolomics.

Authors:  Jeffrey R Idle; Frank J Gonzalez
Journal:  Cell Metab       Date:  2007-11       Impact factor: 27.287

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

5.  apLCMS--adaptive processing of high-resolution LC/MS data.

Authors:  Tianwei Yu; Youngja Park; Jennifer M Johnson; Dean P Jones
Journal:  Bioinformatics       Date:  2009-05-04       Impact factor: 6.937

Review 6.  New tools and new biology: recent miniaturized systems for molecular and cellular biology.

Authors:  Morgan Hamon; Jong Wook Hong
Journal:  Mol Cells       Date:  2013-12-02       Impact factor: 5.034

Review 7.  Nanostructure-initiator mass spectrometry metabolite analysis and imaging.

Authors:  Matthew P Greving; Gary J Patti; Gary Siuzdak
Journal:  Anal Chem       Date:  2010-11-04       Impact factor: 6.986

8.  Metabolomic differences in heart failure patients with and without major depression.

Authors:  David C Steffens; K Ranga R Krishnan; Edward D Karoly; Matthew W Mitchell; Christopher M O'Connor; Rima Kaddurah-Daouk
Journal:  J Geriatr Psychiatry Neurol       Date:  2010-01-25       Impact factor: 2.680

9.  Application of GC/MS-based metabonomic profiling in studying the lipid-regulating effects of Ginkgo biloba extract on diet-induced hyperlipidemia in rats.

Authors:  Qi Zhang; Guang-ji Wang; Ji-ye A; Di Wu; Ling-ling Zhu; Bo Ma; Yu Du
Journal:  Acta Pharmacol Sin       Date:  2009-12       Impact factor: 6.150

10.  Initial characterization of micafungin pulmonary delivery via two different nebulizers and multivariate data analysis of aerosol mass distribution profiles.

Authors:  Shuai Shi; Elizabeth S Dodds Ashley; Barbara D Alexander; Anthony J Hickey
Journal:  AAPS PharmSciTech       Date:  2009-02-03       Impact factor: 3.246

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