Literature DB >> 22935449

Metabolomics and its potential in drug development.

Diren Beyoğlu1, Jeffrey R Idle.   

Abstract

Metabolomics is the global and unbiased survey of the complement of small molecules (say, <1 kDa) in a biofluid, tissue, organ or organism and measures the end-products of the cellular metabolism of both endogenous and exogenous substrates. Many drug candidates fail during Phase II and III clinical trials at an enormous cost to the pharmaceutical industry in terms of both time lost and of financial resources. The constantly evolving model of drug development now dictates that biomarkers should be employed in preclinical development for the early detection of likely-to-fail candidates. Biomarkers may also be useful in the preselection of patients and through the subclassification of diseases in clinical drug development. Here we show with examples how metabolomics can assist in the preclinical development phases of discovery, pharmacology, toxicology, and ADME. Although not yet established as a clinical trial patient prescreening procedure, metabolomics shows considerable promise in this regard. We can be certain that metabolomics will join genomics and transcriptomics in lubricating the wheels of clinical drug development in the near future.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22935449     DOI: 10.1016/j.bcp.2012.08.013

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  13 in total

1.  GC-MS-based plasma metabolomic investigations of morphine dependent rats at different states of euphoria, tolerance and naloxone-precipitated withdrawal.

Authors:  Ruoxu Liu; Jianhua Cheng; Jingwen Yang; Xinghua Ding; Shuguang Yang; Fangting Dong; Ning Guo; Shaojun Liu
Journal:  Metab Brain Dis       Date:  2014-12-04       Impact factor: 3.584

2.  Cordyceps sinensis protects against liver and heart injuries in a rat model of chronic kidney disease: a metabolomic analysis.

Authors:  Xia Liu; Fang Zhong; Xu-long Tang; Fu-lin Lian; Qiao Zhou; Shan-mai Guo; Jia-fu Liu; Peng Sun; Xu Hao; Ying Lu; Wei-ming Wang; Nan Chen; Nai-xia Zhang
Journal:  Acta Pharmacol Sin       Date:  2014-03-17       Impact factor: 6.150

3.  Comparative metabolomics reveals the mechanism of avermectin production enhancement by S-adenosylmethionine.

Authors:  Pingping Tian; Peng Cao; Dong Hu; Depei Wang; Jian Zhang; Lin Wang; Yan Zhu; Qiang Gao
Journal:  J Ind Microbiol Biotechnol       Date:  2016-12-17       Impact factor: 3.346

4.  Metabolomic profiling relates tianeptine effectiveness with hippocampal GABA, myo-inositol, cholesterol, and fatty acid metabolism restoration in socially isolated rats.

Authors:  Ivana Perić; Marija Lješević; Vladimir Beškoski; Milan Nikolić; Dragana Filipović
Journal:  Psychopharmacology (Berl)       Date:  2022-07-01       Impact factor: 4.415

Review 5.  The metabolomic window into hepatobiliary disease.

Authors:  Diren Beyoğlu; Jeffrey R Idle
Journal:  J Hepatol       Date:  2013-05-25       Impact factor: 25.083

6.  Tissue metabolomics of hepatocellular carcinoma: tumor energy metabolism and the role of transcriptomic classification.

Authors:  Diren Beyoğlu; Sandrine Imbeaud; Olivier Maurhofer; Paulette Bioulac-Sage; Jessica Zucman-Rossi; Jean-François Dufour; Jeffrey R Idle
Journal:  Hepatology       Date:  2013-05-08       Impact factor: 17.425

7.  Metabolomic analysis of anti-hypoxia and anti-anxiety effects of Fu Fang Jin Jing Oral Liquid.

Authors:  Xia Liu; Wei Zhu; Shuhong Guan; Ruihong Feng; Hui Zhang; Qiuhong Liu; Peng Sun; Donghai Lin; Naixia Zhang; Jun Shen
Journal:  PLoS One       Date:  2013-10-18       Impact factor: 3.240

8.  Global metabolic analyses identify key differences in metabolite levels between polymyxin-susceptible and polymyxin-resistant Acinetobacter baumannii.

Authors:  Mohd Hafidz Mahamad Maifiah; Soon-Ee Cheah; Matthew D Johnson; Mei-Ling Han; John D Boyce; Visanu Thamlikitkul; Alan Forrest; Keith S Kaye; Paul Hertzog; Anthony W Purcell; Jiangning Song; Tony Velkov; Darren J Creek; Jian Li
Journal:  Sci Rep       Date:  2016-02-29       Impact factor: 4.379

Review 9.  Determination of antiprotozoal drug mechanisms by metabolomics approaches.

Authors:  Darren J Creek; Michael P Barrett
Journal:  Parasitology       Date:  2013-06-05       Impact factor: 3.234

10.  Metabolomic investigation of regional brain tissue dysfunctions induced by global cerebral ischemia.

Authors:  Tianshu Zhang; Wei Wang; Jin Huang; Xia Liu; Haiyan Zhang; Naixia Zhang
Journal:  BMC Neurosci       Date:  2016-05-20       Impact factor: 3.288

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