Literature DB >> 21395528

Metabolomics and its practical value in pharmaceutical industry.

Ru Wei1.   

Abstract

Metabolomics is emerging as a promising systems biology approach for many research fields including functional genomics, disease diagnosis, nutrition science, and drug discovery. Following rapid development in academic and research institutes, metabolomics is drawing an attention in the pharmaceutical industry. This review aims to highlight the practical value of metabolomics in (a) potentially validating more novel therapeutic targets and indications, (b) facilitating decision-making on the advancement of therapeutics in the drug development process, and (c) leading to better patient stratification and cost-effective clinical trials, through the application of LC/MS/MRM-based targeted metabolomics studies at a relatively low cost in pharmaceutical companies. This paper provides a brief history of the development of metabolomics and common strategies for conducting metabolomics studies. The pros and cons of the most important technologies and the major components of metabolomics studies are reviewed and discussed. Finally, selected metabolomics study examples are reviewed to illustrate how metabolomics can be used to simultaneously capture underlying biochemical changes associated with pharmaceutical interventions, and effectively produce more accurate and/or alternative efficacy and ADR biomarkers, thereby, greatly extending our knowledge of disease, protein function and drug action and maximally benefiting the pharmaceutical industry.
© 2011 Bentham Science Publishers Ltd.

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Year:  2011        PMID: 21395528     DOI: 10.2174/138920011795202947

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  13 in total

Review 1.  Clinical metabolomics: the next stage of clinical biochemistry.

Authors:  Angelo D'Alessandro; Bruno Giardina; Federica Gevi; Anna Maria Timperio; Lello Zolla
Journal:  Blood Transfus       Date:  2012-05       Impact factor: 3.443

2.  LC-MS data processing with MAVEN: a metabolomic analysis and visualization engine.

Authors:  Michelle F Clasquin; Eugene Melamud; Joshua D Rabinowitz
Journal:  Curr Protoc Bioinformatics       Date:  2012-03

3.  The Metabolomics of Chronic Pain Conditions: A Systematic Review.

Authors:  Edwin N Aroke; Keesha L Powell-Roach
Journal:  Biol Res Nurs       Date:  2020-07-15       Impact factor: 2.522

4.  MALDI-mass spectrometric imaging for the investigation of metabolites in Medicago truncatula root nodules.

Authors:  Erin Gemperline; Lingjun Li
Journal:  J Vis Exp       Date:  2014-03-05       Impact factor: 1.355

5.  NMR Metabolomics Analysis of Parkinson's Disease.

Authors:  Shulei Lei; Robert Powers
Journal:  Curr Metabolomics       Date:  2013

6.  A positive/negative ion-switching, targeted mass spectrometry-based metabolomics platform for bodily fluids, cells, and fresh and fixed tissue.

Authors:  Min Yuan; Susanne B Breitkopf; Xuemei Yang; John M Asara
Journal:  Nat Protoc       Date:  2012-04-12       Impact factor: 13.491

7.  A metabolomic study of rats with doxorubicin-induced cardiomyopathy and Shengmai injection treatment.

Authors:  Yu Chen; Yong Tang; Ya-Chen Zhang; Xiao-Hong Huang; Yu-Quan Xie; Yin Xiang
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

8.  Optimization and comparison of multiple MALDI matrix application methods for small molecule mass spectrometric imaging.

Authors:  Erin Gemperline; Stephanie Rawson; Lingjun Li
Journal:  Anal Chem       Date:  2014-10-10       Impact factor: 6.986

Review 9.  Lost in Translation (LiT): IUPHAR Review 6.

Authors:  Colin T Dollery
Journal:  Br J Pharmacol       Date:  2014-05       Impact factor: 8.739

Review 10.  Recommendations and Standardization of Biomarker Quantification Using NMR-Based Metabolomics with Particular Focus on Urinary Analysis.

Authors:  Abdul-Hamid Emwas; Raja Roy; Ryan T McKay; Danielle Ryan; Lorraine Brennan; Leonardo Tenori; Claudio Luchinat; Xin Gao; Ana Carolina Zeri; G A Nagana Gowda; Daniel Raftery; Christoph Steinbeck; Reza M Salek; David S Wishart
Journal:  J Proteome Res       Date:  2016-01-20       Impact factor: 4.466

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